2025 SRC Abstracts

Abstract 3

• Name(s): Amira Waiters        
• Institution: University of Michigan-Flint
• Presentation Title: Listening to Flint Parents to Build Equitable Pathways to STEM

Abstract: This study explores the systemic and emotional barriers Flint, Michigan, parents face in supporting their children’s involvement in STEM education. The city of Flint faces significant challenges such as economic hardship, racial segregation, and underfunded schools, all of which create barriers to accessing STEM opportunities, especially for families from marginalized communities. Through community-led discussions with parents and guardians from diverse and underrepresented backgrounds, researchers identified several key challenges, including financial strain, transportation issues, and limited awareness of STEM opportunities. In addition, many parents reported difficulties in understanding STEM content and expressed a need for clearer, more accessible information to help guide their children’s education. Despite these barriers, parents remain committed to supporting their children’s interest in STEM and expressed a preference for affordable, hands-on STEM experiences such as camps and workshops. They also emphasized the need for clearer, more direct communication about available programs and opportunities. The results highlight the importance of improving communication strategies, establishing trust between parents and educational institutions, and ensuring equitable access to STEM programs for all students. This study suggests that community-driven solutions, including more targeted outreach and accessible resources, are crucial for overcoming barriers and ensuring equal STEM opportunities for the youth in Flint.

Faculty advisor(s): Jennifer LaCosse, University of Michigan-Flint   

Abstract 4

• Name(s): Ayah Shammout        
• Institution: University of Michigan-Flint
• Presentation Title: Anti Racism Among White Americans

Abstract: The Operational Definition of anti-racism proposes further discussion on whether it is enough to simply be anti-racist or if white people should engage and step up to counteract it. Researchers try to discover what is socially acceptable advocacy from white Americans and the degree to which they counteract anti racism. In this study, self-identified African Americans were asked to rate how strongly they perceived particular actions as productive acts of anti-racism, how they perceived lay theories of racism, and if certain anti-racism acts are acceptable among white people. The results show that the participants valued intentional efforts of white allyship but showed hesitation for high-visibility acts of advocacy in fear that they are centering the movement around themselves. This study indicates that African Americans value deliberate acts of white allyship against racism, particularly when white allies refrain from assuming leadership roles within the movement.

Faculty advisor(s): Jennifer Lacosse, University of Michigan-Flint   

Abstract 5

• Name(s): Billie Patton        
• Institution: University of Michigan-Flint
• Presentation Title: Causal Agency In Correlations

Abstract: Causal Agency in Correlation acknowledges the misunderstanding of correlational research and the innate nature of assuming there is an independent and dependent variable in all conducted research. This research study will help us recognize the level of understanding between causal and correlation of variables in the population studied. We have created false news reports highlighting research studies, these will be added to a survey. We will ask participants to read each story and report their opinion on how these variables relate to one another. This work is in it’s infancy stage, I will be happy to share the results at our next conference and will take questions at this time.

Faculty advisor(s): Audrey Michal, University of Michigan-Flint   

Abstract 6

• Name(s): Brandon Albright, John Miner      
• Institution: University of Michigan-Flint
• Presentation Title: Cognitive Responses to Upper Respiratory Tract Infections

Abstract: Animal studies show that Lipopolysaccharide(LPS) impairs spatial navigation. Humans with URTIs report cognitive deficits, but links to spatial navigation in older adults remain unclear. The purpose of this study is to examine the effects of acute upper respiratory infections (URTI), such as influenza A+B or COVID-19, on cognition, including spatial navigation, in older adults. We hypothesize that wayfinding and other cognitive functions will be negatively affected in response to infections. The study design is repeated-measures. Subject eligibility includes adults 50 years or older, without visual or hearing deficits, no neurological/psychiatric conditions, or any condition that could impair use of a computer keyboard or arrow keys. Subjects must be healthy at least one week before testing. Subjects with URTI symptoms will be tested within 96 hours of symptom appearance. Subjects will be interviewed using PASE (physical activity), cognitive measures (cognitive status), and 3D-CAM (delirium screening). Spatial navigation will be tested using the Computer-Generated Arena, Morris Water Maze analog. Spatial navigation indices include directional heading error and time-to-platform completion. Data is collected using REDCap, which automates scoring and integrates validated tools. Data collection occurs over 1-3 days. Findings could inform early interventions for infection-related cognitive decline in aging populations.

Faculty advisor(s): Barbara Kupferschmid, University of Michigan-Flint   

Abstract 7

• Name(s): Brendan Nelson        
• Institution: University of Michigan-Flint
• Presentation Title: Holopatient Technology In Applications Related To Healthcare

Abstract: The ability to provide trauma-informed patient-centered care is imperative for those who interact with survivors of sexual assault. However, future sexual assault nurse examiners (SANEs) have limited opportunities to learn or practice trauma-informed care (TIC) interview skills; yet are expected to perform effectively in highly dynamic and stressful situations upon completion of their SANE education program.

Faculty advisor(s): Carmen Turkleson, University of Michigan-Flint; Megan Keiser, University of Michigan-Flint

Abstract 8

• Name(s): Brooklyn Dean, Abigail Ortman      
• Institution: University of Michigan-Flint
• Presentation Title: Assessing the Antimicrobial Properties of Hexocannabitrol and its Analogs 

Abstract: Bacterial infections are leading cause of death globally. Bacterial infections are often treated by some form of antibiotics (whether it be oral, IV , or topical). However, this does not always stop the infections as antibiotics stop working when the bacteria become antibiotic resistant. This has been happening with more antibiotics as the years pass. Cannabidol (CBD) is the second main component in cannabis. CBD does not have psychoactive qualities. Recently CBD has been shown to have antimicrobial properties. Hexacannabitrol is a derivative of CBD that shows auspicious pharmaceutical qualities. Our collaborators are synthesizing hexacannabitrol as well as analogs; these compounds have not yet been tested for antimicrobial activity. We assessed the antimicrobial properties of these compounds against multiple bacteria, including Streptococcus mutans, Staphylococcus aureus, and Enterococcus faecalis. in dilution assays to find the lowest inhibitory concentration for hexacannabitrol and its analogs.

Faculty advisor(s): Emily Lavering, University of Michigan-Flint   

Abstract 9

• Name(s): Carson Evans        
• Institution: Kettering University
• Presentation Title: A Sustainable Transition

Abstract: As concern for cleaner energy moves from optional to imperative, particularly with climate concerns mounting every day, and energy demand growing, this project seeks practical and visionary pathways to sustain the transition into sustainable systems. The project dives into applications of hydrogen fuel cells, solar integration, and the contextual inquiries that post-industrial cities like Flint, Michigan, face; this research was anchored in a practical approach. The project uses data modeling, examining proposals and policies, and visual simulations available to me to break down the financial, environmental, and logistical components that alternative energy presents. The findings consider how cities may utilize scalable solar technology, materialize hydrogen infrastructure, and use circular economy ideas to seek stronger energy systems that are cleaner and adaptable. Ultimately, this project seeks to investigate the articulation of simple, actionable solutions – especially for the communities that have historically been underserved or are now undergoing change.

Faculty advisor(s): John Grether, Kettering University   

Abstract 10

• Name(s): Charlotte Barron, Makena Fisher      
• Institution: University of Michigan-Flint
• Presentation Title: Predicting Transcriptional Network Evolution Across Alphaproteobacteria

Abstract: Bacteria often use networks of transcription factors (TFs) to regulate gene expression and thereby mediate cellular decision making. Intriguingly, conserved TFs in related species can have significantly different regulatory networks due to rewiring of the genes that the TF targets, which can result in distinct phenotypic outputs. Examining how transcriptional networks evolve across species to influence bacterial fitness will help us to understand how microbes adapt to different environmental niches. We previously characterized an XRE-family TFs in Caulobacter crescentus known as CdxA, which was shown to bind hundreds of sites in the genome and regulated both biofilm formation and phage infection. Interestingly, homologs of cdxA were identified across most Alphaproteobacteria based on amino acid similarity and genome neighborhood analysis, suggesting that this transcription are ancestral in this class of bacteria. Genetic analysis indicates that cdxA homologs in other Alphaproteobacteria have distinct phenotypic outputs, suggesting that the transcriptional network has been rewired. To better understand how the CdxA transcriptional network has been rewired, we used the CdxA DNA binding motif from C. crescentus to bioinformatically predict where the CdxA homologs bind in ecologically and clinically relevant Alphaproteobacteria, including Brucella ovis, Agrobacterium tumefaciens, Sinorhizobium meliloti, Azorhizobium caulinodans, and Caulobacter segnis RL271. Specifically, we analyzed sequences upstream of annotated genes in each species for predicted CdxA binding sites using the FIMO motif scanning tool from the MEME suite and looked for binding sites in genes with known impacts on virulence, biofilm formation, and symbiosis.

Faculty advisor(s): Maeve McLaughlin, University of Michigan-Flint   

Abstract 11

• Name(s): Christopher Williams, Brendan Taylor      
• Institution: University of Michigan-Flint
• Presentation Title: Play Beyond Boundaries

Abstract: The goal of our project is to adapt ride-on cars for children that have physical disabilities. We work with children of varying ages, and we have a variety of car sizes to meet the needs of our community. This project was initially a spring volunteer project that involved the College of Technology and the College of Health Sciences collaborating together to solve a community need. Over time, it grew into what it is today.

Faculty advisor(s): E Shirl Donaldson, University of Michigan-Flint; Thiago Ferreira, University of Michigan-Flint

Abstract 12

• Name(s): Daniel Abou Khzam, Josie Kraemer      
• Institution: University of Michigan-Flint
• Presentation Title: Modelling the Physics of Supermassive Black Hole Growth

Abstract: The growth of supermassive black holes is recognized as an integral component in the assembly of galaxies. Hence, understanding the processes important to the growth of these black holes can provide clues to galactic evolution. We are interested in modelling these processes to reproduce spectroscopic observations across all wavelengths. To do this, we start with fundamental parameters like black hole mass, spin, and accretion rate. We model the accretion as a radiatively-efficient thin disk (Penna et al. 2012, Novikov & Thorne 1973) which provides continuous emission from X-rays to infrared wavelengths. Emerging from the disk, we also model a radiatively-driven, steady state mass outflow (Murray et al. 1995) in order to account for broad emission lines in the ultraviolet and visible wavelengths. Lastly, we distribute spherical clouds around the disk that can absorb these emissions when viewed against those regions. We will present the current status of our modelling efforts with a preliminary comparison to spectra obtained with the Hubble Space Telescope. We will invert our model to optimize parameters for a given observation. Ultimately, we hope to synthesize spectra from a range of black hole masses, spins, and accretion rate in order to reproduce the demographic of black hole growth. 

Faculty advisor(s): Rajib Ganguly, University of Michigan-Flint   

Abstract 13

• Name(s): Denish Patel, Dorah Mohamed      
• Institution: Princeton Univeristy, University of Michigan-Dearborn
• Presentation Title: Software Accessibility and Security Bug Reports

Abstract: Some software bugs don’t just break functionality, they lock out users and create security risks. This project investigates the intersection of software accessibility and security by analyzing 1,815 bug reports from open-source platforms and training machine learning models to predict whether a bug involves accessibility issues, security vulnerabilities, both, or neither. Although accessibility and security are often treated as separate concerns, our analysis revealed overlapping issues that frequently go unnoticed. By manually labeling reports and evaluating classification models like SVM and Logistic Regression, we show that even lightweight models can help identify these dual-risk bugs. Improving detection of such bugs can lead to more secure and inclusive software systems.

Faculty advisor(s): Jeffrey Yackley, University of Michigan-Flint; Thiago Ferreira, University of Michigan-Flint

Abstract 14

• Name(s): Emily DeSheles-Gross, Priscilla Mac-Kittah       
• Institution: University of Michigan-Flint
• Presentation Title: Examining the Activity, Structure, and Trafficking of G462R Point Mutation in Mammalian Furin 

Abstract: Furin is a calcium-dependent endoprotease that activates precursor proteins, playing a key role in cancer progression and other diseases. It contains 794 amino acids and seven domains, with the P-domain critical for catalytic activity, pH stability, and calcium requirements, though its role remains unclear. We investigated the impact of a G462R mutation in the P-domain, hypothesizing it would disrupt furin trafficking and activity by altering local conformation. Immunofluorescence examined intracellular localization of wild-type (WT) and G462R furin. ELISA measured furin activity by quantifying co-transfected von Willebrand factor (vWF). Western blot assessed autocatalytic cleavage of WT and G462R furin in transfected RPE.40 cells. Immunofluorescence revealed WT furin localized to the Golgi, while G462R was retained in the ER, suggesting disrupted trafficking and degradation. ELISA showed reduced catalytic activity of G462R compared to WT. Western blot confirmed propeptide cleavage in both variants, however G462R displayed an additional band, suggesting a breakdown product or cross-reacting protein. These findings indicate the G462R mutation impairs furin folding and trafficking but allows the catalytic domain to adopt a near-functional conformation with limited activity in the ER. If replicated, the G462R mutation could represent a novel furin mutation, emphasizing the balance between folding, localization, and enzymatic function.  

Faculty advisor(s): Joseph Sucic, University of Michigan-Flint   

Abstract 15

• Name(s): Frank Tilli        
• Institution: Kettering University
• Presentation Title: Finding Clinical Trials Using Clinician Notes through NLP Techniques

Abstract: With the invention of large language models (LLMs), many manual tasks can now be automated. However, the accuracy of LLM responses is still a valid concern. This project explores whether two LLMs (GPT 4o by OpenAI and Gemini 1.5 Pro by Google) can determine (based on eligibility criteria) if a cancer patient with a specific tumor gene would be eligible for a particular cancer clinical trial. Clinical trial data was extracted from clinicaltrials.gov using the clinical trials API and the Python programming language. In all, 328 clinical trials were used in this study. Multiple genes were used (ALK, BRAF, EGFR, ERBB2, KIT, and KRAS). Specifically, there were 31 trials used for ALK, 57 trials used for BRAF, 149 for EGFR, 62 for ERBB2, 77 for KIT, and 52 for KRAS. A Google Sheets spreadsheet was used to keep track of the LLM responses given per trial and gene.

Faculty advisor(s): Lisa Gandy, Kettering University   

Abstract 16

• Name(s): Gabrielle Herron        
• Institution: University of Michigan-Flint
• Presentation Title: Social belonging in students who speak English as a second language

Abstract: Objective: The effects of stereotype threat on people of color, LGBTQ+ individuals, and women are well studied. Less research has examined stereotype threat among students whose native language is not English. Drawing from previous stereotype threat research we examined how experiences of stereotype threat relate to feelings of belonging, dropout rates, class participation, and overall college satisfaction among non-Native English speaking students.
Method: A sample size of 102 (45 male, 57 female) who were selected from University of Michigan students and Prolific Workers, participants answered a series of questions about their experiences in school, their race/ethnicity, age, gender, concerns of being stereotyped, feelings of belonging, thoughts of dropping out, and satisfaction with college experience.
Results: Participants who experienced more stereotype threat, that is the fear of being stereotyped, were more likely to consider dropping out (r = .XX, p = .XXX), lower class participation (r = .XX, p = .XXX), lower college satisfaction (r = .XX, p = .XXX), and less belonging (r = .26, p = .001). Moreover, lower feelings of belonging mediated the relationship between concerns about being stereotyped and the other outcome variables.
Conclusion: Though these results come from a small sample, it is likely indicative of a larger problem taking place. In the future, we would like to improve sample sizes as well as find ways to implement changes that will improve the experiences of these students and work to make our universities more inclusive. 

Faculty advisor(s): Jennifer LaCosse, University of Michigan-Flint   

Abstract 17

• Name(s): Jaiden Kendall        
• Institution: University of Michigan-Flint
• Presentation Title: Use of Three-Dimensional Cell Culture to Examine the Impact of Microenvironmental Stress on Breast Cancer Metastasis 

Abstract: Cancer has two important characteristics: uncontrolled cell division and metastasis. Metastasis poses the gravest threat to cancer patients, as 90% of mortality in cancer patients is the result of metastatic tumors. However, the underlying causes of metastasis remain largely mysterious1-2. We have hypothesized that metastasis is triggered by unfavorable conditions in the tumor microenvironment due to high metabolic activity; we focus on elevated temperature and hypoxia. Cells find these conditions unpalatable; thus, metastatic cells may simply be trying to escape an inhospitable environment.

While the causes of metastasis are unclear, some of the key driving events are. Cells must lose the normal cohesiveness that they display in tissues, which occurs through a process known as the epithelial-mesenchyme transition (EMT). EMT allows cells to move through the extracellular matrix (ECM), a proteinaceous layer that separates tissues, to escape their existing environment. Metastatic cells typically move through vascular or lymphatic systems to find a new place to colonize. Key molecular players in breast cancer metastasis include members of two protein families called Matrix-degrading Metalloproteinases (MMPs) and Proprotein Convertases (PCs).

Faculty advisor(s): Joseph Sucic, University of Michigan-Flint; You-Shin Chen, University of Michigan-Flint

Abstract 18

• Name(s): Jennah Changezi        
• Institution: University of Michigan-Flint
• Presentation Title: The overlapping roles of the PP2A, p53, and BRCA tumor suppressors in breast cancer

Abstract: Protein Phosphatase 2A (PP2A) is a family of more than 80 S/T-directed phosphatases, which is dysregulated in virtually all human tumors. As such, it has recently become a major focus of research. This literature review discusses the emerging research about the functional overlaps of PP2A, p53, and BRCA in breast cancers (Figure 1). Overall, these functional overlaps highlight pathways that may be of special therapeutic interest. Therapeutic strategies for targeting PP2A include direct inhibition, allosteric inhibition, bifunctional PROTACs, PP2A molecular glues, and PP2A molecular disruptors. PP2A-targeting drugs may eventually lead to effective combination therapies that target PP2A, p53, and BRCA, benefitting the health of patients affected by a diverse range of cancers.

Faculty advisor(s): Jessica Kelts, University of Michigan-Flint   

Abstract 19

• Name(s): Jordan Maxgay        
• Institution: Kettering University
• Presentation Title: Dynamics of a Variable-Pivot Physical Pendulum

Abstract: The classic introductory example of a pendulum sees one with a massless string fixed at one end, resulting in an easily digestible equation of motion depending only on the acceleration due to gravity and the length of the pendulum. If one instead allows the tether to have mass, the equation is complicated by accounting for that mass. Moreover, moving the pivot from one end affects the rotational inertia, further complicating the equation of motion. In this project, a ruler was used as the pendulum in combination with a Vernier Rotary Motion Sensor in order to gather data on how adjusting the pivot affects the parameters of the equation of motion. This was achieved with a 3D-printed bracket with an adjustable screw to hold the ruler in place. We predicted a peak in the acceleration of the system at around 28 centimeters from the center of mass, and experiments confirmed a maximum acceleration at 27 centimeters. There was some inaccuracy between the computational and experimental results, however, which caused us to revisit our analytical approach to correct for the ruler’s brass endcaps and air resistance.

Faculty advisor(s): Daniel Ludwigsen, Kettering University   

Abstract 20

• Name(s): Kevin Lawrence        
• Institution: Kettering University
• Presentation Title: AutoDrive Captain

Abstract: As autonomous vehicles gain popularity, reliable sensor integration and robust control systems are crucial for safe navigation. This project focuses on developing an Autodrive Captain using the Robot Operating System (ROS) framework. The system integrates various sensors, including LiDAR, cameras, and radar, to perceive the environment and make informed decisions.

Using ROS, we implement a modular architecture that enables integration of sensor data from different sources. Our approach involves fusing sensor data to enhance accuracy and robustness in navigation tasks such as lane detection, obstacle avoidance, and traffic light recognition.

Faculty advisor(s): Diane Peters, Kettering University   

Abstract 21

• Name(s): Kya Cawood        
• Institution: Mott Community College
• Presentation Title: The Correlation Between Anxious Attachment and Subjective Happiness

Abstract: This poster project is about the correlation between the anxious attachment style and subjective happiness. 

Faculty advisor(s): Phillip Nulph, Mott Community College   

Abstract 22

• Name(s): Laura Salgado        
• Institution: University of Michigan-Flint
• Presentation Title: Unleashing the STOPP/START Criteria: A Quality Initiative Project

Abstract: The World Health Organization (WHO) identified “Medication Without Harm” as its third Global Patient Safety Challenge. Emphasis is given to polypharmacy as a crucial issue linked to unsafe medication practices and preventable harm (2025). Polypharmacy is the use of 5 or more prescribed medications, which increases the risk of poor medication adherence, adverse events and mortality. Some contributing factors to polypharmacy include miscommunication among prescribers during care transitions and inadequate medication reviews. The providers play an important role in addressing polypharmacy, emphasizing the need for a strong culture of safety in healthcare. This quality initiative project aims to address polypharmacy in a 150-bed skilled nursing facility (SNF) by increasing education on the use of the evidence-based Screening Tool for Older Persons’ Prescriptions (STOPP) and Screening Tool to Alert to the Right Treatment (START) guidelines. The project received exempt status from the University of Michigan Institutional Review Board (IRB) exempt status. A quasi-experimental study design utilizing pre- and post-intervention design was utilized for this project. Results showed increased use of guidelines and education documented. The SNF discharge process was improved by the enhancement of their electronic health system and standard process of care. 

Faculty advisor(s): Teresa Sienkiewicz, University of Michigan-Flint; Jeffrey Morse, University of Michigan-Flint

Abstract 23

• Name(s): Lily Ethington        
• Institution: University of Michigan-Flint
• Presentation Title: Adolescent suggestions on improving telehealth: differences by family income 

Abstract:  This study aims to understand adolescent opinions on ways to improve telehealth. Findings are separated by the family income of the adolescent.  A total of 81 adolescents aged 14-17 across Genesee County, Michigan were recruited for semi-structured interviews with specific questions on adolescent suggestions to improve multiple elements of telehealth services. To gain a broader scope of experiences, individuals with and without telehealth experience were recruited. Those living in lower-income communities and who were Latinx and African American were purposely recruited. Parents/caregivers completed a socio-demographic survey about income, health insurance, and other factors for the household. Out of 81 participants, 37 (45.7%) had Medicaid Health Insurance coverage in the last 12 months and 23 (28.4%) had household incomes less than $40,000 annually. Adolescents from lower-income households suggested ways to overcome access barriers, while those from higher-income households sought to optimize telehealth by proposing better appointment structures. Lower-income participants more frequently suggested healthcare providers loan out smart devices with access to high-speed internet than high-income participants. Understanding adolescent opinions surrounding telehealth may lead to notable improvements in youth-focused medical care. Further randomized controlled trials should implement adolescent suggestions of telehealth optimization and device loan-out programs for a targeted adolescent population.

Faculty advisor(s): Gergana Kodjebacheva, University of Michigan-Flint   

Abstract 24

• Name(s): Madison Gilmore, Hillary LeGrande, Rose Legant, Kayla Kostoff  
• Institution: University of Michigan-Flint
• Presentation Title: Robust synthetic platform to hexocannabitriol and biological relevant analogs

Abstract: In recent years, there has been an influx of medicinal use with cannabinoid derivatives as a treatment of chronic pain for different diseases and ailments. This gives rise to testing more cannabinoid derivatives for their potential therapeutic capabilities, and determination of their mechanism of action. The purpose of this project is to synthesize hexocannabitriol, a recently discovered compound from the Cannabis sativa plant. Hexocannabitrol has been shown to induce the Nrf2 gene, which regulates the amount of free radicals that may be present in the body. At high levels, free radicals have been linked to cellular damage of proteins, lipids, and DNA. The goal of this project is to synthesize and screen hexocannabitriol, as well as other derivatives for new biological and medicinal properties. A synthetic platform has been developed to synthesize different diastereomers and analogues in a straightforward and facile manner. The natural product, as well as the analogues, can then be further explored for properties such as antioxidant capabilities, biological relevance, and medicinal use. 

Faculty advisor(s): Emily Camelio, University of Michigan-Flint   

Abstract 25

• Name(s): Makenzie McClellan        
• Institution: University of Michigan-Flint
• Presentation Title: The Financial Struggle of Nursing Students

Abstract: With my presentation I will be showing a list of schools on the east coast that provide funding for nursing students while in the clinical rotation portion of their education. My original research task was to research why students aren’t finishing or succeeding in nursing school and financial burden was the top reason. Students in nursing school are expected to take two years off work and focus solely on their education, while still paying tuition. This expectation is both unreasonable and also not setting students up for the tireless hours seen within the medical field. My presentation will show what schools provide financial support to nursing students as well as the type, location, and cost of attendance of the university. 

Faculty advisor(s): John Girdwood, University of Michigan-Flint   

Abstract 26

• Name(s): Marissa Baryo        
• Institution: University of Michigan-Flint
• Presentation Title: Psychology Major Survey 

Abstract: Abstract
Because psychology offers one pathway to helping people with mental health problems, it could be that people pursue psychology in part because they want to fight the discrimination and internalization that people like them face. Some evidence for this idea comes from research indicating that people with mental health issues have higher rates of compassion and empathy (Elischberger & Hill, 2019), which could set them up for a career in mental health. Indeed, a huge part of deciding one’s major and career path is finding something you are good at and picking a job that requires that skill or trait (Larkin, 2011). Relatedly, according to Collison (2021), there is a common recurring theme in psychology students scoring higher in being socially aware and change-oriented. Thus, people may choose psychology majors in part because they have a desire to improve society. The current study aims to see if there is any correlational effect between students’ own mental health issues and/or their loved ones’ mental health issues and their choice to major in psychology or take a psychology class. Authors hypothesized that there would be a moderate to strong positive correlation between one’s own mental health issues and/or a loved one’s mental health issues with the choice of psychology as their major. A second hypothesis is that there will be a low to moderate positive correlation between the choice of choosing to take a psychology course and one’s own or a loved one’s mental health issues. Researchers posted an online anonymous survey for anyone currently registered for a psychology course at the University of Michigan Flint. We recruited 113 participants initially and ended with 92. One participant did not consent and 15 did not finish the survey in its entirety. 58 participants were psychology majors and 34 were only taking a course or were minoring in psychology. Analyses are in progress.

Faculty advisor(s): Jennifer LaCosse, University of Michigan-Flint   

Abstract 27

• Name(s): Md Zisanul Haque Bhuiyan        
• Institution: University of Michigan-Flint
• Presentation Title: to Investigate the Effect of Process Parameters on Additively Manufactured 316L Stainless Steel

Abstract: This study investigates the impact toughness of 316L stainless steel components fabricated via Bound Metal Deposition (BMD), an extrusion-based additive manufacturing technique. Charpy V-notch specimens were printed under varying process parameters including skin overlap percentage, print sequence, print orientation, and outer wall thickness. Results indicate that a 0% skin overlap yielded the highest impact energy absorption (~36.4 J) regardless of print sequence, suggesting improved material homogeneity and interlayer bonding. Samples printed at a 45° orientation exhibited the greatest toughness (~42 J), attributed to optimal stress distribution and crack propagation resistance. Additionally, increasing outer wall thickness significantly enhanced impact resistance, with energy absorption rising from 33.6 J to 49.9 J. When compared with other additive manufacturing techniques and wrought materials, BMD-produced 316L steel demonstrated superior or comparable impact performance, highlighting its potential for applications demanding both geometric complexity and mechanical resilience.

Faculty advisor(s): Khalil Khanafer, University of Michigan-Flint   

Abstract 28

• Name(s): Megan Bennett        
• Institution: University of Michigan-Flint
• Presentation Title: Taking Root- Choosing Species for Germination and Seeding Rate Testing

Abstract: I will examine the seeding and germination rates of different low-growing lawn alternative species and compare their rates to those of common lawn species, such as turf grass. In this presentation, I will explain which species will be chosen for this study and why. 

Faculty advisor(s): Rebecca Tonietto, University of Michigan-Flint   

Abstract 29

• Name(s): Micah Helzerman        
• Institution: University of Michigan-Flint
• Presentation Title: Automating Criteria-Based Evaluation of USMLE-Style Questions

Abstract: Generating high-quality questions can aid with personalized assessment and provide students with a valuable opportunity to practice before taking on high-stakes exams. Existing question generation evaluation typically focuses on measurements of properties like fluency, answerability, and difficulty. However, to ensure that generated questions are well-formed and realistic within specialized domains, it is important to check for adherence to discipline-specific question criteria. In this paper, we introduce a framework for using an evaluator LLM to determine the quality of questions designed for the United States Medical Licensing Exam (USMLE), supporting the role of human question evaluators. We collect and annotate a set of sample questions based on a set of criteria typically used to evaluate USMLE questions, and create test cases by modifying correctly-formed questions such that they violate specific criteria. We then experiment with a range of approaches for using an LLM to evaluate questions, finding that zero-shot prompting approaches provide strong performance in many cases. We discuss criteria for which the automated evaluation approach does not perform well, and suggest several ways to improve the performance of the evaluation systems moving forward.

Faculty advisor(s): Steve Wilson, University of Michigan-Flint   

Abstract 30

• Name(s): Myriam Hachem        
• Institution: University of Michigan-Flint
• Presentation Title: Intersecting insecurities: legal status, social determinants of health, and IPV-related health outcomes.

Abstract: Introduction: Legal status impacts help-seeking behaviors and health outcomes among survivors of intimate partner violence (IPV). This may be particularly significant for those experiencing cumulative victimization, which compounds health risks and deepens social and economic vulnerability over time. This study examines the variations in Social Determinants of Health (SDOH) by legal status among survivors with multiple IPV. Methods:
We used 5,080 IPV survivors who experienced more than one type of IPV from the National data. SDOH includes four domains: economic stability, education level, social and community context, and health care access. We compared SDOH and health outcomes between immigrants (13.2%) and non-immigrants. Results: Immigrants had high housing instability, low education, and limited access to medical services compared to US-born populations. Immigrants sought out informal help and experienced stalking less than US-born survivors. Discussion:
Despite no significant differences in health outcomes, immigrant IPV survivors face limited healthcare access, housing, and support networks, which may mask unmet needs. Structural barriers, such as fear of deportation, language access issues, and systemic discrimination should be considered when interpreting the challenges immigrant IPV survivors face. Equity-focused, culturally-responsive policies must address legal protections, resource navigation, and educational empowerment for lasting impact.

Faculty advisor(s): Woojong Kim, University of Michigan-Flint   

Abstract 31

• Name(s): Myrna Issa, Ashton Herrick      
• Institution: University of Michigan-Flint
• Presentation Title: Echo Dot as a Surrogate for Interpersonal Communication

Abstract: This study explores user experiences with the Amazon Echo Dot among older adults, focusing on the device’s role in addressing social isolation and enhancing interpersonal communication. Key findings suggest that while the Echo Dot’s practical features like alarms and music were appreciated, the greatest impact stemmed from its potential to simulate human-like interaction. Participants valued natural conversation flow, emotional responsiveness, and a voice that felt less robotic. These results highlight design opportunities for voice assistants to function as meaningful social companions.

Faculty advisor(s): Charlotte Tang, University of Michigan-Flint; Rie Suzuki, University of Michigan-Flint

Abstract 32

• Name(s): Myrna Issa, Caleb Porrett      
• Institution: University of Michigan-Flint
• Presentation Title: A Study of Open-Source Java Software Test Cases on Github

Abstract: This study investigates the use of test cases in open-source Java projects on GitHub, analyzing their frequency, quality, and potential risks. By combining automated searches, manual reviews, and a literature review, the research identifies the dominance of JUnit frameworks and the reliance on simple keyword conventions. Findings highlight the reliance on @Test keyword indicating reliance on frameworks and the potential to uncover additional non-framework testcases through more sophisticated test detection methods. We identified some samples of simple malicious test cases.This work supports the development of better software tools for evaluating and improving automated testing practices and malicious software identification within the open-source Java community.

Faculty advisor(s): Jeffrey Yackley, University of Michigan-Flint   

Abstract 33

• Name(s): Naima Cleveland        
• Institution: University of Michigan-Flint
• Presentation Title: Examining the Effect of a His66Asp Point Mutation on Furin Function & Trafficking Using Site-Directed Mutagenesis

Abstract: Furin, a serine endoprotease, plays a significant role in the processing and activation of many precursor proteins involved in embryonic development, the activation of pathogenic substances, and eukaryotic homeostasis. Interactions between furin’s domains are essential for the protein’s 3D structure, trafficking, and maturation. Notably, excision and release of the propeptide domain, which carries out intramolecular chaperone activity, are responsible for furin trafficking and activation. We proposed a His66Asp point mutation into the propeptide domain, 3 bases away from the well-conserved pH sensing and transport detecting His69 residue, would have implications for furin trafficking to the trans-Golgi network and activation. Replacing a basic and cyclic histidine with the acidic and non-cyclic aspartate amino acid may have potential consequences for required interactions with His69. Through the use of site-directed mutagenesis, we found this mutated version of furin was retained in the endoplasmic reticulum, with its endoprotease autocatalytic cleavage activity abolished. Provided furin’s involvement in activating pathogens and other disease-related cellular components, fully characterizing amino acids significant for its functionality, such as His66, could prove valuable in drug development and therapeutic targeting.

Faculty advisor(s): Joseph Sucic, University of Michigan-Flint   

Abstract 34

• Name(s): Natalie Frary
• Institution: University of Michigan-Flint
• Presentation Title: Factors Influencing Micromobility Adoption in a University Community

Abstract: The rapid emergence of e-micromobility options in urban environments has introduced new dynamics to university commuting patterns. While research has explored general adoption patterns, the interplay between personal attitudes about bicycling, pro-environmental sentiment, and adoption intention in university settings remains understudied, particularly in Central European contexts. This study examines factors influencing e-micromobility adoption intentions for short trips (≤1 km) among a university community in Warsaw, Poland. Using an online survey of faculty, staff, and students, we investigated two key aspects: how current cycling attitudes influence e-bicycle or e-scooter adoption; and explored the relationship between pro-environmental attitudes and e-micromobility potential.

Faculty advisor(s): Greg Rybarczyk, University of Michigan-Flint   

Abstract 35

• Name(s): Nicklas Smith        
• Institution: University of Michigan-Flint
• Presentation Title: Designing a Protocol for Pollinator Observations Within Residential Gardens

Abstract: With the global decline of pollinator populations, gardens have become a vital source of both pollen and nectar, which our pollinators rely on for survival. Gardeners can improve the quality of the landscape for pollinators by growing plants that are valuable foraging resources for them. The goal of our research is to understand which plants gardeners can grow to assist in pollinator conservation within their residential gardens. To do this, we’ve developed a protocol for insect identification using morphotypes, classifying groups of insects based on their general characteristics. We will be using a non-lethal observation method using a digital camera to photograph each specimen that visits a flower. We have also developed methods using meandering transects to observe flowering plants and which insects pollinate them. Each transect will wind around the garden at each of our sites, allowing us to observe clusters of a particular plant species all at once. 

Faculty advisor(s): Rebecca Tonietto, University of Michigan-Flint   

Abstract 36

• Name(s): NIdish Shetty, Pooja Ramesh Nalawade      
• Institution: Kettering University
• Presentation Title: Lean Thinking & Agile Execution: A Strategic Framework for Startup Innovation

Abstract: This presentation explores the integration of Lean Thinking and Agile Methodologies as a strategic framework to foster innovation, adaptability, and value-driven outcomes in startup environments and beyond. Drawing on Eric Ries’ Lean Startup principles—entrepreneurs are everywhere, entrepreneurship is management, validated learning, Build-Measure-Learn, and innovation accounting—we analyze how these concepts enable startups to thrive under conditions of extreme uncertainty. The case of Quibi, a high-profile failure in the mobile streaming sector, illustrates the consequences of neglecting iterative validation and customer-centric design. We demonstrate how a Lean-Agile approach could have redirected Quibi’s trajectory through early MVP testing, rapid feedback loops, and adaptive sprints. Furthermore, we extend the discussion to complex industries such as automotive and healthcare, showing how Lean Startup methods can optimize prototyping, improve user engagement, and reduce systemic waste. Agile frameworks like Scrum and Kanban offer tactical mechanisms to implement Lean Thinking in diverse domains—from digital health innovation to electric vehicle platforms. By combining Lean’s efficiency focus with Agile’s responsiveness, this approach creates resilient, scalable innovation systems. The presentation aims to provide both theoretical grounding and real-world strategies for applying Lean-Agile methods to foster sustainable innovation and mitigate startup failure across industries.

Faculty advisor(s): Lawrance Navarre, Kettering University   

Abstract 37

• Name(s): Nour Almounajed, Alexander Stockford, Lily Ethington 
• Institution: University of Michigan-Flint
• Presentation Title: Development of a conceptual framework on factors associated with effective adolescent-healthcare provider communication during telehealth visits: Interviews with adolescents 

Abstract: “The study aims to develop a conceptual framework on factors that promote effective communication between adolescents and healthcare providers via telehealth, improving health outcomes. The framework, specific to adolescents, builds on the published Telemedicine and Doctor-Patient Communication Theoretical Framework, which includes socio-demographic, patient, and provider characteristics. These interact to influence medical communication (e.g., information seeking and giving) and health outcomes; all mediated by the telehealth delivery method (e.g., video, phone, email). Flyers were distributed in pediatrician offices in Genesee County, MI, inviting participation. Adolescents were interviewed about their relationships with healthcare providers, focusing on how providers convey listening and build trust. Among 81 participants: 16 (19.8%) were 14, 20 (24.7%) were 15, 23 (28.4%) were 16, and 22 (27.2%) were 17 years old. Racial/ethnic composition included 45 (55.5%) non-Hispanic White, 20 (24.7%) non-Hispanic Black, 5 (6.2%) White Latino, and others. Adolescents identified provider traits that foster effective communication in video visits: professional attire, non-verbal behaviors (nodding, smiling, eye contact), and verbal signs of active listening (e.g., “I understand It sounds like you said…”). This framework informs strategies to enhance telehealth communication quality, supporting better adolescent satisfaction and health outcomes.

Faculty advisor(s):  Gergana Kodjebacheva, University of Michigan-Flint; Charlotte Tang, University of Michigan-Flint

Abstract 38

• Name(s): Osama Kidwai        
• Institution: Kettering University
• Presentation Title: Forecasting Tool For Food Bank of Eastern Michigan (FBEM)

Abstract: The Food Bank of Eastern Michigan (FBEM) requires supply chain planning tools to enhance efficiency. A mathematical modeling tool will forecast operational volume to improve food distribution to agencies serving those in need.

Faculty advisor(s): Lawrence Navarre, Kettering University   

Abstract 39

• Name(s): Owen Sartele        
• Institution: University of Michigan-Flint
• Presentation Title: Neutralizing the Narrative: AI-Powered Summarization from Diverse News Perspectives

Abstract: Navigating the contemporary news landscape often presents challenges in discerning objective facts amidst pervasive biases. This project introduces a novel automated system designed to mitigate partisan distortion and provide users with a more balanced and factual understanding of a given topic. The system queries multiple news sources spanning the political spectrum to capture diverse perspectives using a custom search API based on user-provided input. For each source, it analyzes the top 30 articles, employing a relevance scoring algorithm to identify the most representative article. These key articles, one from each source, are then processed through an initial layer of AI summarization using the OpenAI API. Subsequently, these individual summaries are aggregated and subjected to a second layer of AI summarization to synthesize these diverse perspectives into a single, cohesive, and less-biased final summary. By systematically gathering information across the news spectrum and employing a layered summarization approach, this project aims to reduce inherent biases, allowing users to access a more comprehensive and fact-centric overview of any given topic.

Faculty advisor(s): Murali Mani, University of Michigan-Flint   

Abstract 40

• Name(s): Raevyn Kremer        
• Institution: University of Michigan-Flint
• Presentation Title: Rainbow Homestead©: A Research-Driven Initiative to Build a Brighter, More Inclusive Tomorrow for LGBTQ+ Communities

Abstract: The Rainbow Homestead Initiative bridges independent research and creative action to address homelessness among LGBTQ+ individuals and families. Developed as a self-directed project within an academic setting, the initiative arose from a foundational study identifying the critical need for safe housing, mental health support, and sustainable living programs in LGBTQ+ communities. This ongoing project combines evidence-based research with actionable solutions, including targeted fundraising campaigns, stakeholder engagement, and community partnerships. The Rainbow Homestead Initiative’s mission is to empower marginalized individuals through safe spaces, resources, and resilience-building programs, fostering inclusivity and lasting social impact. This presentation highlights the evolution of the initiative—from its research origins to its actionable goals—inviting collaboration and support from the broader community.

Faculty advisor(s): Crystal Starkey, Delta College   

Abstract 41

• Name(s): Raqibul Islam        
• Institution: Kettering University
• Presentation Title: Global Flint Initiatives

Abstract: The Global Flint Initiative is a collaborative research project between Kettering
University, the International Center of Greater Flint, and the University of Michigan–Flint.
The initiative explores the complex challenges faced by immigrants, asylum seekers,
refugees, and international students residing in the city of Flint and surrounding areas.
Our primary goal is to develop inclusive strategies that help attract and retain non-
native-born residents, contributing to a more welcoming, global, and resilient
community. The research employs both quantitative (surveys) and qualitative (focus groups,
interviews) methods to identify key barriers related to legal, cultural, economic, and
social integration. Data collection spans diverse population groups, with findings
highlighting shared and unique struggles faced by each group. Through out this project,
we aim to generate actionable recommendations that inform local policy and community
programs. This work contributes to a deeper understanding of migration and inclusion in mid-sized American cities and emphasizes the importance of locally driven, collaborative solutions
in fostering inclusive growth.

Faculty advisor(s): Kenneth Williams, Kettering University   

Abstract 42

• Name(s): Teryn Dunning        
• Institution: University of Michigan-Flint
• Presentation Title: What Factors Influence The Spread Of Health Misinformation On Social Media?

Abstract: Health misinformation is known as incorrect or false information that is being spread on online sources. It is well known for influencing individuals’ health decisions, which can be life-altering. Being given the correct information is crucial in making the right decisions. The problem under investigation is what factors are influencing people to believe this misinformation. It is hypothesized that content characteristics, persuasive techniques, and critical thinking skills are the leading causes of misinformation being believed. Each person has their own way of processing information and thinking critically through the peripheral route and the central route. It is shown that there is a difference in levels of susceptibility between those who think critically while on social media and those who do not.  In this research poster, I will be digging deeper to explain how cues such as source cues, content cues, and style cues all have persuasive effects based on each person’s information processing skills. As well as how these techniques affect individuals’ health decisions. 

Faculty advisor(s): Audrey Michal, University of Michigan-Flint   

Abstract 43

• Name(s): Thi Thanh Thuy Nguyen        
• Institution: University of Michigan-Flint
• Presentation Title: “Unlocking Social Media Data: How to Use APIs Effectively”

Abstract: Social media platforms have become essential tools for research, offering vast amounts of real-time data. However, efficiently accessing and analyzing this data requires leveraging Application Programming Interfaces (APIs). This presentation explores the use of social media APIs for academic and industry research, focusing on data collection, ethical considerations, and analytical methodologies. I will discuss key APIs from platforms like Blue Sky, Youtube, and Reddit, highlighting their functionalities, limitations, and best practices for data extraction. The talk will also address challenges such as rate limits, privacy concerns, and data preprocessing. Additionally, I will demonstrate practical applications, including sentiment analysis, trend detection, and network analysis, using Python-based tools. By the end of this session, attendees will gain insights into harnessing social media APIs effectively while adhering to ethical guidelines. This research is particularly relevant for scholars and professionals in computational social science, marketing, and public opinion analysis.

Faculty advisor(s): Murali Mani, University of Michigan-Flint   

Abstract 44

• Name(s): Toby Schuraytz, Donna Tachoir      
• Institution: University of Michigan-Flint
• Presentation Title: Improving Eating Disorder Screening, Referral, and Follow-up in a Psychiatric Clinic with Provider Education and a Standardized Screening and Referral System

Abstract: Eating disorders (EDs) are one of the fastest growing health problems in the world.  Screening for eating disorders is an essential part of psychiatric evaluation due to increase morbidity, mortality, and increased suicide rates. Symptoms can be subtle, vary tremendously from one individual to another, not appropriately diagnosed. The specific aim of this research is to increase the screening of eating disorders by using the SCOFF questionnaire.  The SCOFF questionnaire is used identifying eating disorders in adolescents and adults at their first psychiatric appointment and recommend treatment if appropriate as recommended by APA, 2023. The survey, the SCOFF questionnaire, will be presented upon initial psychiatric visit.  Data from the 6-month experimental period (3 months before intervention, 3 months after intervention) will be collected for a convenience sampling method. Results are pending as we are nearing completion. Eating disorders can be incredibly difficult to identify and outcomes are highly associated with early identification, intervention, and treatment. It is the overall desire to improve access to quality care and better health outcomes for those in need of eating disorder treatment.

Faculty advisor(s): Teresa Sienkiewicz, University of Michigan-Flint; Zora Injic, University of Michigan-Flint

Abstract 45

• Name(s): Tyler Judd        
• Institution: University of Michigan-Flint
• Presentation Title: A performance evaluation of post quantum digital signatures for proof of stake consensus

Abstract: Blockchain technology extends beyond cryptocurrencies to sectors like healthcare, real estate, and supply chain management. While current blockchains rely on cryptographic security, quantum computing threatens this foundation. A powerful quantum computer could use Shor’s algorithm to break widely used cryptographic schemes like RSA and ECDSA, endangering blockchain security. Though such quantum machines do not yet exist, their potential emergence within the next decade makes it critical to transition to quantum-secure signature schemes. Many blockchain signature schemes, including ECDSA, EdDSA, and BLS, lack quantum resistance and must be replaced. My research examines the spatial complexity of adopting quantum-secure signatures, particularly their impact on transaction and block sizes in blockchains specifically using proof of stake consensus systems. Using Ethereum as a case study, it highlights the challenges of increased data overhead through replacing the digital signatures used in Ethereum with quantum-safe alternatives.

Faculty advisor(s): Suleyman Uludag, University of Michigan-Flint   

Abstract 46

• Name(s): Yasmien Elshikary         
• Institution: University of Michigan-Flint
• Presentation Title: Introduction of mutation W254S into Furin

Abstract: Furin the serine protease enzyme,, plays a crucial role-in cleaving protein. Its plays an essential role in the malignant phenotype and involved in tumor growth. We hypothesize that change amino acids in this region will significantly impact its function and structure

Faculty advisor(s): Joseph Sucic, University of Michigan-Flint   

Abstract 47

• Name(s): Zoiya Morell        
• Institution: University of Michigan-Flint
• Presentation Title: Investigating the Reproducibility of LLMs in Optimization Algorithms

Abstract: The project will review key findings from our systematic survey on large language models (LLMs) for optimizing evolutionary algorithms. We conducted a literature review of several databases of peer-reviewed journals from 2017 to the present, resulting in 29 relevant papers. This poster will demonstrate that LLM-based studies involving optimization algorithms have very limited repeatability and explainability. We will discuss three aspects of this finding. First, our survey indicates that large language models and evolutionary algorithms inherently lack repeatability. Second, most studies in our survey did not provide sufficient information to be minimally replicable. Third, many studies lacked consistent metrics or tests for statistical validity, hindering comparison or confirmation through future research. Finally, the poster will explore possible standards and avenues for future research to ensure additional studies achieve greater replicability and explainability. 

Faculty advisor(s): Thiago Ferreira, University of Michigan-Flint   

Abstract 48

• Name(s): Aaron DeHaven        
• Institution: Kettering University
• Presentation Title: Hand Gesture Reconition for Human-Machine Interaction

Abstract: This research presents the study, and future implementation of a real-time hand gesture recognition system integrated with a robotic arm featuring six degrees of freedom (6-DOF). The system conducts inferencing using a YOLOv10x (You Only Look Once) model using the Hand Gesture Recognition Dataset (HAGRID) for detection and classification. The intention is for recognized gestures to be mapped to corresponding control commands, allowing the robot to perform precise movements and tasks in response to user input. The integration enables intuitive and contactless human–machine interaction, with potential applications in assistive robotics, remote manipulation, and rehabilitation. 

Faculty advisor(s): Jungme Park, Kettering University   

Abstract 49

• Name(s): Annaliese Elliott, Brent Gasser, Ashton Herrick    
• Institution: University of Michigan-Flint
• Presentation Title: The improvement of self-efficacy in using the Amazon Echo Dot among older adults in Genesee County. 

Abstract: This study explored the impact of AI virtual home assistants on self-efficacy among older adults living alone in Genesee County, Michigan. Using a pre-post intervention design, 13 participants aged 60 and older received an Amazon Echo Dot and Smart Light, along with hands-on training and weekly text support. Participants were recruited from three senior centers, with inclusion criteria ensuring cognitive function and no prior AI device experience. Results showed an overall improvement in self-efficacy, with participants reporting it was easier to use AI and that they felt calmer during use. Those from lower socioeconomic areas reported greater gains, likely due to less prior exposure to AI. However, no significant changes were noted in some self-efficacy items, likely due to poor question wording. The study suggests that access to AI devices can positively influence self-efficacy in older adults, especially when tailored to digital literacy levels. Future research should explore the use of more diverse AI devices and target varied living environments to further evaluate the role of AI in supporting self-efficacy of the aging population.

Faculty advisor(s): Rie Suzuki, University of Michigan-Flint; Charlotte Tang University of Michigan-Flint

Abstract 50

• Name(s): Benjamin (Bentley) Derby        
• Institution: Mott Community College
• Presentation Title: Investigating Potential Damage Caused By Boston Ivy

Abstract: While some research has been done on English Ivy (Hedera Helix), little research has been conducted on growing Boston Ivy (Parthenocissus tricuspidata) on walls for aesthetic or practical reasons. This project aims to uncover hard scientific evidence of any damage caused by Boston Ivy growing on common building surfaces. The Ivies grow using the building surface to support itself structurally; various materials can handle the stress while others are thought to fail, both chemically and mechanically. Our pilot survey completed in November 2024 counted instances of damage caused by Boston Ivy along with side by side control areas without ivy to sample what the overall condition of the building surface was. Our results were largely inconclusive due to the sample size and it is believed more rigorous research needs to be done. This ambiguity mirrors some discussions by Millward and Blake (2024) on a study of Boston Ivy Microclimates in the Toronto, Canada region. However, we found some evidence that painted surfaces suffer from ivy growth more than unfinished masonry surfaces, while the unfinished masonry may benefit from the growth of Boston Ivy.

Faculty advisor(s): Ron Stamper, Mott Community College   

Abstract 51

• Name(s): Brent Gasser, Asthon Herrick, Annaliese Elliot    
• Institution: University of Michigan-Flint
• Presentation Title: Examining the Potential of Artificial Intelligence Usage to Combat Loneliness in Elderly Adults Living Alone in the Greater Flint Area

Abstract: Loneliness among elderly adults living alone is a growing public health concern, particularly in the Greater Flint area. The use of artificial intelligence (AI) and virtual home assistants (VHAs) has the potential to provide cognitive engagement and opportunities for social interaction. This study explores the feasibility and impact of AI technology in effecting loneliness among older adults living alone. By equipping participants with VHAs and evaluating their experience over eight weeks, this qualitative research aimed to assess changes in perceived loneliness, social connectedness, and overall well-being. Themes drawn from post-study interviews include comparison between pre- and post-study opinions, utilization patterns, confidence in VHAs, continuation of use, perceived effects on loneliness and suggestions for design improvement. These findings suggest that VHAs can provide meaningful assistance with daily tasks and provide some social engagement, proving to be a useful tool. However, limits in current capabilities suggest that VHAs may not be a reliable method in mitigating loneliness in
older adults living alone. Aligning with the competencies of the University of Michigan, Flint MPH competencies, this research provides meaningful insight into the potential methods in addressing loneliness in older adults. 

Faculty advisor(s): Rie Suzuki, University of Michigan-Flint; Charlotte Tang, University of Michigan-Flint

Abstract 52

• Name(s): Gabriel Cruz        
• Institution: Kettering University
• Presentation Title: Optimization of Front/Rear Aerodynamic Downforce for Performance and Handling for a Formula SAE Vehicle

Abstract: There have been many improvements in automotive aerodynamics since the boom in the 1960’s. As such, there have been significant improvements in the modeling of aerodynamic forces for automotive applications. In particular, software such as Adams Car can allow end users to determine the changes in vehicle response due to the change in aerodynamic forces. The Formula Society of Automotive Engineers (FSAE) competition gives students around the globe the opportunity to show their engineering prowess by making and racing a formula style race car at the Michigan International Speedway. Aerodynamics can be a very integral aspect of an FSAE team’s strategy to break lap records and score more points. This paper aims to provide an insight into automotive vehicle dynamics and performance from the perspective of adjusting the location of the aerodynamic forces for an FSAE vehicle. With the information gathered, the front and rear aerodynamic balance will be adjusted for a FSAE vehicle. A discussion of these results will be used to determine the response of a vehicle due to the shift in the location of the center of pressure. 

Faculty advisor(s): Jennifer Bastiaan, Kettering University   

Abstract 53

• Name(s): Hailey Owens        
• Institution: University of Michigan-Flint
• Presentation Title: Country-Level Political Violence and Intimate Partner Sexual Violence in Low-and-Middle-Income Countries in Sub-Saharan Africa

Abstract: Low-and-middle-income countries (LMICs) face disproportionately high rates of terrorism and political violence- especially countries located in Sub-Saharan Africa. The rate of sexual violence perpetrated by combatant groups and civilians often increases during times of war, and studies have been conducted to explore the dynamics of this type of violence. However, in-depth research examining a possible relationship between intimate partner sexual violence and other types of political violence, including acts of terrorism, is not abundant. The current study aims to explore a possible association between country-level terrorism/political violence and increased rates of sexual violence between intimate partners in LMICs in Sub-Saharan Africa. Data from UNICEF’s Multiple Indicator Cluster surveys via IPUMS-MICS related to intimate partner sexual violence was utilized, and data related to terrorism was sourced from Our World in Data. The terrorism rate and rate of sexual IPV were compared for five countries: Benin, Central African Republic, Chad, Madagascar, and Zimbabwe. A modest general upward trend was observed, with the trend becoming more clear with forced intercourse (in comparison to other forced sex acts). The results suggest that interventions related to the prevention of sexual IPV are needed in countries in which terrorism and political violence are prevalent.

Faculty advisor(s): Julie Ma, University of Michigan-Flint   

Abstract 54

• Name(s): Jai Rathan Batte        
• Institution: Kettering University
• Presentation Title: Charge-Discharge Analysis of Lithium Battery

Abstract: This report investigates the performance of lithium-ion batteries through controlled charge and discharge testing, with a focus on electrical behavior and thermal response. Using experimental data collected from two separate tests, key metrics such as voltage, current, and capacity were analyzed over time to evaluate battery efficiency. The results demonstrate predictable trends in charging and discharging characteristics, with voltage rising and falling consistently and current flow aligning with standard charging profiles. Capacity plots reveal steady energy accumulation during charging and a gradual release during discharge, confirming system integrity. Temperature and SOC variations were also considered to support the need for effective thermal regulation. The collected data provides a foundation for further modeling and optimization of battery management systems in real-world applications such as electric vehicles and energy storage.  

Faculty advisor(s): Susanta Das, Kettering University   

Abstract 55

• Name(s): Katheren Barger        
• Institution: University of Michigan-Flint
• Presentation Title: Analysis of Breast Cancer Metastasis Through Three-Dimensional Cell Culture Imaging

Abstract: Breast cancer is a deadly disease that often spreads throughout the body, forming further metastatic tumors. In pursuit of determining if and how microenvironments affect the rate of metastasis, we accumulated thousands of three-dimensional layered images of breast cancer cell culture “spheres” across a variety of time points, cancer strains, and cell cross-sections. In order to gather relevant data, these images were required to be organized to compare invasiveness across the relevant variables being studied. The online software Total Commander was used to sort images by experiment, strain, well number, and Z-stack cross-section. With the first several experiments being properly organized, the analysis process has started. Our goal is to qualitatively and quantitatively detail the invasiveness in cell cultures over time in order to provide AI with the tools and background to further analyze metastatic tendencies. 

Faculty advisor(s): Joseph Sucic, University of Michigan-Flint; You-shin Chen, University of Michigan-Flint

Abstract 56

• Name(s): Kathryn Poniatowski Corey Osborne Carmen Schuler Christopher Johnson  
• Institution: University of Michigan-Flint
• Presentation Title: Machine Learning and Predictive Profiling for Parkinson’s Disease

Abstract: Background—Previous research has indicated that metabolic profiles may be useful in predicting and treating Parkinson’s disease. Further research may identify reliable and sensitive diagnostic biomarkers. Objective— To conduct a metabolomic analysis of biochemicals in venous serum to identify diagnostic biomarkers for Parkinson’s disease (PD).
Methods— Subjects with PD and controls were tested for the presence of 1,496 metabolic biomarkers.  Samples were taken from an initial (Baseline) visit, and an additional six-month follow-up (V06). Recursive Feature Elimination (RFE) was applied to machine learning models to identify the top 20 predictive features. Models were trained and tested with an 80/20 split. Extensive preprocessing, normalization by median scaling, SHAP analysis, and permutation importance were also used for interpretability. Results— t-SNE visualizations suggest enhanced biomarker signals over time. All models achieved an overall accuracy of 70% with the Random Forest model achieving the highest (AUC = 0.80). Retraining XGBoost with SHAP and permutation features boosted accuracy to 85%. RFE selections from all three models identified two shared metabolites present in both datasets. Conclusions— Indole-3-lactic acid (I3LA) and N-acetyl aspartate (NAA) may be possible predictors of Parkinson’s Disease. The research indicates strong potential for machine learning-assisted metabolomic diagnostics in neurodegenerative diseases.

Faculty advisor(s): Halil Bisgin, University of Michigan-Flint   

Abstract 57

• Name(s): Lalitkishore Nagarajan        
• Institution: Kettering University
• Presentation Title: Evaluating Structural Performance and Weight Efficiency of 3D-Printed Parts Using Generative Design

Abstract: This project explores the structural performance of 3D-printed parts using generative design methodology. As support distances increase, stronger or more optimized structures are required. Prototypes were fabricated using additive manufacturing, and compression tests assess each design’s strength. Generative design is then utilized to create and realize weight-to-strength ratios. The study aims to understand how different design for additive manufacturing methodologies such as generative design configuration affects structural integrity and weight efficiency. It is expected that the generative design-based parts will demonstrate significant weight reduction while maintaining or improving mechanical strength. The experimental evaluation involves measuring load-bearing capacity and comparing weight savings across multiple design configurations.

Faculty advisor(s): Ping Ren, Kettering University; Osama Aljarrah, Kettering University

Abstract 58

• Name(s): Laura Spitzfaden        
• Institution: University of Michigan-Flint
• Presentation Title: Investigating the Perceived Effectiveness, Usefulness, Usability, and Equity of an Epidemiology Calculator Developed for Use in the Epidemiology Classroom

Abstract: Introduction: Teaching epidemiology to public health students presents concerns regarding math aptitude, math anxiety, understanding of epidemiological concepts, and student interest/engagement. We investigated if graduate students believe that using an epidemiology calculator will enhance, inhibit, or have no effect on epidemiological learning. Materials/Methods: A qualitative cross-sectional design utilizing surveys completed by graduate students regarding their experiences using an incidence proportion calculator in an epidemiology course. Results: Twenty-three participants responded to the survey. Investigators qualitatively explored themes of effectiveness, usefulness, usability, and equity. Conclusions:
A common theme among participant responses was that the incidence proportion calculator was useful and usable by saving time and enhancing accuracy. For those who felt that the calculator could enhance understanding of epidemiology, there were themes of reduced frustration, decreased math intimidation, increased organization of concepts, and increased time for focusing on interpretation and critical analysis. Many found that the calculator increased accessibility to epidemiological concepts by reducing the deleterious effects of math anxiety and lack of familiarity with epidemiological terms. A few suggested that the calculator had the potential to support individual learning styles. However, several also felt that the calculator could be misused or might limit learning if introduced too early.

Faculty advisor(s): Michelle Sahli, University of Michigan-Flint; Murali Mani, University of Michigan-Flint

Abstract 59

• Name(s): Maha Vishnu Vardhan Reddy Kanthala        
• Institution: Kettering University
• Presentation Title: Development of a Hardware and Instrumentation System for Full-Scale Vehicle Tire Blowout Testing

Abstract: Tires are pivotal in vehicle dynamics as they are the sole interface through which all driving forces, such as traction, braking, and cornering, are transmitted to the road. Their mechanical properties, including stiffness, grip, and deformation behavior under load, significantly influence the vehicle’s handling, stability, and safety. As dynamic systems, tires interact continuously with the road surface, making their performance critical in scenarios involving acceleration, deceleration, steering inputs, and varying road conditions. Any compromise in tire integrity can lead to severe consequences, especially during high-speed driving or manoeuvring. One of the most dangerous tire-related incidents is a tire blowout, which refers to a sudden and rapid loss of air pressure in a tire, often resulting from structural failure, punctures, or overheating. Tire blowouts can severely disrupt vehicle stability, leading to a loss of control, vehicle rollover, or collisions. These incidents pose a serious threat not only to the driver and passengers but also to nearby motorists. Understanding the vehicle’s dynamic response during such events is crucial to developing better safety mechanisms and control strategies. To explore these dynamics, the study first utilizes high-fidelity vehicle dynamics simulations to model tire blowout scenarios under various conditions. These simulations help predict vehicle behavior and inform the design of control strategies aimed at mitigating blowout-related instability. However, real-world blowout events are unpredictable, highly dynamic, and challenging to study under repeatable and safe conditions. This unpredictability poses a significant challenge for researchers attempting to analyze vehicle behavior and validate control or safety mechanisms during such critical scenarios. This thesis presents the creation of a tire blowout mechanism that allows for safe, repeatable, controlled, on-demand tire blowout events on a real-size test vehicle in order to address the challenge. This device’s design rapidly deflates a tire by activating one or more solenoid valves integrated directly within the wheel assembly. Multiple solenoid valves are installed on the same wheel and controlled independently to achieve different deflation profiles. These valves connect to an Arduino-based control system, which enables precise timing and selective activation of each valve. The system is wirelessly operated through a remote interface, allowing real-time triggering of blowout events during dynamic vehicle tests. This configuration enables researchers to initiate controlled deflation at specific moments, facilitating consistent and repeatable evaluation of vehicle dynamics, safety strategies, and control responses across various test conditions within a safe and controlled environment. We would conduct initial experimental testing on a production/test vehicle under controlled tire blowout conditions to validate the simulation results. These tests aim to collect real-world data to compare against simulation outputs, ensuring the simulated vehicle dynamics accurately reflect actual behavior during blowout events. The OxTS RT3000 v4 system, a sophisticated GNSS/INS (Global Navigation Satellite System/Inertial Navigation System) that combines two GNSS receivers with a top-notch MEMS Inertial Measurement Unit (IMU), will be utilized to assess the vehicle’s behavior in tire blowout situations. This system provides high-precision real-time localization, velocity, and motion tracking, allowing detailed analysis of vehicle response. A Controller Area Network (CAN) data acquisition system such as Vector CANalyzer will also monitor critical vehicle parameters, including speed, yaw rate, and lateral acceleration. The experimental data obtained through this setup will serve as a foundation for validating the previously obtained simulation results.

Faculty advisor(s): Wen-Chiao Lin, Kettering University   

Abstract 60

• Name(s): Pooja Dulaboji        
• Institution: Kettering University
• Presentation Title: Characterizing Crash Profiles of ADAS and ADS-Equipped Vehicles

Abstract: Partially automated driving (PAD) systems have introduced a paradigm shift in the automotive industry, offering a glimpse into the future of autonomous vehicles. Amidst the advancements, understanding the intricacies of human interaction with these systems and the associated safety implications is paramount. This study characterizes crash profiles of Advanced Driver Assistance Systems (ADAS), and Automated Driving Systems (ADS) equipped vehicles to elucidate the underlying reasons and types of crashes occurring in the United States during the years 2014 – February 2024. We leveraged data mining techniques using the National Highway Traffic Safety Administration (NHSTA) database, to investigate the dynamics of crashes involving partially autonomous vehicles. Through a comprehensive examination of crash data and associated factors, including human-automation interaction, environmental conditions, and system performance, we identify crash patterns and trends in PAD systems that allow for a characterization of crash profiles of ADS-equipped vehicles. More generally, these findings can inform the development of strategies to mitigate crashes and enhance the safety of autonomous driving systems. These strategies may include improved human-machine interfaces, enhanced training for drivers, adaptive algorithms, and regulatory measures aimed at standardizing safety protocols across the industry.

Faculty advisor(s): Reem Alzahabi, Kettering University   

Abstract 61

• Name(s): Prince Azu        
• Institution: University of Michigan-Flint
• Presentation Title: Learnova: Designing an AI-Powered Learning Assistant for the Future of Education

Abstract: Learnova is an AI-powered learning assistant I developed using Flutter, aimed at transforming how students study, research, and retain information. The software leverages AI to generate structured research outlines, simplify complex topics, and provide intelligent study guidance in a fast, intuitive environment. This presentation explores the full product development cycle—from UX research and interface design in Figma to front-end development using Flutter and Dart. The design focuses on creating an experience that is simple, responsive, and student-friendly, especially for learners with limited access to guided study resources. By blending AI technology with human-centered design, Learnova offers a fresh approach to educational tools—turning passive reading into interactive, personalized learning. Attendees will learn how AI can be thoughtfully integrated into software solutions to empower users and enhance academic productivity. The talk will also highlight real feedback from student testers and the impact of responsive UX in educational innovation.

Faculty advisor(s): Suleyman Uludag, University of Michigan-Flint   

Abstract 62

• Name(s): Rachel Trisler        
• Institution: University of Michigan-Flint
• Presentation Title: The Prevalence and Policy Impact of Parental Physical Abuse in Low- and Middle-Income Countries

Abstract: This presentation explores the prevalence and policy impact of parental physical abuse in low- and middle-income countries, drawing attention to a global issue often underrepresented in child welfare discourse. Through a comprehensive review of cross-national data, this study highlights alarming rates of physical abuse experienced by children at the hands of caregivers, particularly in regions lacking protective infrastructure and adequate social policy. Key themes include the influence of cultural norms, economic hardship, and insufficient legal frameworks on the normalization and perpetuation of abuse. The presentation critically analyzes how national policies—or lack thereof—correlate with reported prevalence rates, and identifies both barriers and opportunities in creating effective child protection systems. Recommendations include increased policy investment, trauma-informed prevention strategies, and culturally responsive social work interventions. Ultimately, this presentation advocates for the global social work community to take a more active role in promoting policy reform and cross-cultural collaboration to protect vulnerable children in LMICs.

Faculty advisor(s): Julie Ma, University of Michigan-Flint   

Abstract 63

• Name(s): Reese Robinson        
• Institution: University of Michigan-Flint
• Presentation Title: The Ethics of Deceit: The Tuskegee Syphilis Study and the Legacy of Unethical Research in America

Abstract: The Tuskegee Syphilis Study, conducted from 1932 to 1972, remains one of the most egregious examples of unethical medical research in American history. This paper examines the ethical violations committed during the study, which involved the deliberate deception and mistreatment of African American men with syphilis. It explores the historical context, systemic racism within U.S. healthcare, and the lasting impact on public trust in medical institutions. By analyzing primary and secondary sources, this study highlights the broader pattern of exploitation in medical research and proposes reforms to prevent future violations. The paper also addresses the continuing legacy of racial injustice in healthcare practices. In addition to the historical analysis of the Tuskegee study, this paper draws connections between past unethical practices and current issues in medical ethics, such as vaccine hesitancy and ongoing racial disparities in healthcare. The research underscores the importance of informed consent and transparency in medical studies and proposes specific policy recommendations aimed at rebuilding trust with marginalized communities. By critically evaluating the ethical failures of the Tuskegee Syphilis Study, this paper advocates for systemic reforms to ensure equity and accountability in contemporary research practices.

Faculty advisor(s): Derwin Munroe, University of Michigan-Flint   

Abstract 64

• Name(s): Riley Zidel, Kyle Ventura, Bharathi K    
• Institution: University of Michigan-Flint
• Presentation Title: Parkinson’s Disease Diagnosis & Disease Progression: Analysis of Metabolite Data

Abstract: Parkinson’s disease (PD) affects approximately 90,000 individuals annually in the United States, with prevalence expected to rise significantly in the coming decades. As a degenerative neurological disorder, PD presents with both motor and non-motor symptoms that progressively impair quality of life. Although early intervention can improve patient outcomes, current diagnostic methods rely on clinical observation, often after irreversible neurological damage has occurred. There are no established biomarkers for early-stage detection.
This study investigates whether spinal fluid metabolite profiles can be used to identify patients with Parkinson’s disease before the onset of overt clinical symptoms. Using a dataset of cerebrospinal fluid samples from 70 individuals (32 controls, 38 PD), we applied machine learning techniques to develop classification models capable of distinguishing PD from control cases. Models were trained on baseline data and evaluated on an independent follow-up set. Feature selection and hyperparameter optimization were performed across multiple model types. Several metabolites—such as 3-methoxytyrmamine sulfate and p-cresol glucuronide—were frequently selected as predictive features in top-performing models. These findings support the potential for metabolomic biomarkers in the early detection of Parkinson’s disease and demonstrate the viability of machine learning approaches for clinical biomarker discovery.

Faculty advisor(s): Halil Bisgin, University of Michigan-Flint   

Abstract 65

• Name(s): Rutchanon Hatasen 
• Institution: University of Michigan-Flint
• Presentation Title:  Road surface condition analysis using accelerometer and acoustic sensor signals

Abstract: Road safety and vehicle efficiency are important concerns in our society and are heavily influenced by the condition of the road surface. National Highway Traffic Safety Administration indicates that 22% of vehicular accidents are weather-related, resulting in substantial economic and human losses. Slippery roads due to rain, snow, and ice, can affect a vehicle’s functionality and the safety of its occupants. Knowing the type of road surface (rough, smooth, etc) the car is traveling on is important for emergency braking and stability control. The need to identify the road surface conditions it even more important for autonomous driving and electric vehicles [1-2]. Different road conditions such as surfaces, weather effects, and tire condition could change the tire friction on a large scale. In this investigation we address these issues by effectively detecting and analyzing various road conditions in real-time, providing valuable information to the vehicle’s control systems, which is essential for enhancing vehicle control systems, including braking and stability controls as well as better range prediction of electrical vehicles. A Lincoln MKZ car was used to test different road surfaces including dirt, concrete and asphalt. The vertical acceleration, inside noise and noise at the wheels were recorded. The time-domain signal and frequency distribution were used to build a machine learning Model, with the ultimate goal being to identify the differences in road surfaces. In conclusion, this information is going to be used by the vehicle-embedded systems to make cars safer and have a better estimate of the range of EVs.

Faculty advisor(s): Mihai Burzo, University of Michigan-Flint; Linda Zhu, University of Michigan-Flint

Abstract 66

• Name(s): Shabaaz Alam Mohammad        
• Institution: Kettering University
• Presentation Title: Integrating 3D Printing with Traditional Sand Casting

Abstract: This study investigates a hybrid manufacturing process that combines traditional sand casting with 3D printing. This method involves first 3D printing a wax prototype of the finished product. A sand mold is then made using this wax design. The wax is melted and removed by the high temperature of the molten metal during casting, enabling the metal to fill the cavity and make the desired part. Creating intricate designs, cutting lead time, and saving tooling costs are just a few advantages of this method. Applications in the automotive and aerospace sectors, where lightweight and highly precise components are crucial, benefit from it.

Faculty advisor(s): Osama Aljarrah, Kettering University   

Abstract 67

• Name(s): Shane Berkholz        
• Institution: University of Michigan-Flint
• Presentation Title: Revitalizing Flint: Public Art and Economic Development Through Facade Monetization

Abstract: This project proposes an innovative facade monetization initiative to support urban renewal efforts in Flint, Michigan. The model transforms derelict building facades along high-traffic corridors into spaces for public art or tasteful commercial advertising through a competitive auction process. Revenue generated is reinvested into facade improvements and neighborhood beautification, creating a self-sustaining funding cycle. The initiative aims to revitalize Flint’s urban landscape by enhancing aesthetics, fostering civic pride, stimulating local economic development, and attracting new investment. Through integration with existing Michigan incentive programs such as Tax Increment Financing (TIF) and the Obsolete Property Rehabilitation Act (OPRA), the project provides economic benefits to property owners while promoting historic preservation and environmental sustainability. By combining creative placemaking with financial incentives, this strategy offers a scalable model for addressing urban blight and reactivating Flint’s built environment with broad community engagement.

Faculty advisor(s): Micheal Witt, University of Michigan-Flint   

Abstract 68

• Name(s): Shannon Krueger        
• Institution: University of Michigan-Flint
• Presentation Title: Socioeconomic Status and Parental Attitudes Towards Discipline in Urban vs Rural Settings: Insights From MICS Data in Nigeria and Ghana

Abstract: This study explores how residential environment and socioeconomic status influence parents’ use of physical disciplinary practices, drawing on data from the Multiple Indicator Cluster Surveys (MICS) conducted in Ghana and Nigeria. Disciplinary practices—especially physical punishment like striking—can contribute to long-term developmental risks for children, including emotional and behavioral problems. As noted by Lubit et al. (2003), exposure to traumatic stress during early development, including violent discipline, can alter emotional regulation, learning capacity, and interpersonal relationships. Understanding physical discipline’s social and economic drivers is essential for building effective, culturally relevant interventions. This research examines how factors such as urban versus rural residence, household wealth, and maternal education influence disciplinary choices. The findings suggest that parenting behaviors are shaped by both environment and socioeconomic conditions, though not always in expected ways. For example, urban families were generally less likely to use physical punishment, while higher maternal education was unexpectedly linked to more frequent use. Although the statistical model explains a small portion of disciplinary behavior, the results underscore the importance of context when addressing parenting practices. These insights support the need for targeted community-based efforts to promote non-violent discipline and protect child development, particularly in underserved settings.

Faculty advisor(s): Julie Ma, University of Michigan-Flint   

Abstract 69

• Name(s): Sriram Sanjeev Devaraj        
• Institution: Kettering University
• Presentation Title: Implementation of A* Path Planning for Indoor Autonomous Navigation on a ROS-Based Mobile Robot

Abstract: This work presents a real-time implementation of the A* (A-star) path planning algorithm on a mobile robot platform equipped with a Jetson Nano running ROS 1 (Melodic) on Ubuntu 18.04. Unlike conventional applications of A* in full-scale autonomous vehicles, this research adapts the algorithm for indoor autonomous navigation using a compact robot. The system utilizes the GMapping SLAM algorithm to construct a 2D occupancy grid map of the environment from LiDAR and camera data. Visualization and monitoring of the robot’s pose, sensor feeds, and the generated map are performed using RViz, an essential ROS tool. The A* algorithm runs on the generated occupancy grid using 8-connected neighbors and an Euclidean distance heuristic to compute obstacle-avoiding paths. Odometry provides real-time localization, and the calculated path is downsampled and converted into waypoints sequentially published via the /move_base_simple/goal topic. Integrating key ROS topics, including /map, /odom, and /cmd_vel, enables accurate mapping, localization, and motion control. This project demonstrates a practical deployment of classical path planning in real-world robotic systems and highlights its effectiveness in navigating structured indoor spaces.

Faculty advisor(s): Jungme Park, Kettering University   

Abstract 70

• Name(s): Summer Dockery, Jaiden Kendall      
• Institution: University of Michigan-Flint
• Presentation Title: PGC1α Genotype Interacts with Balance Confidence to Impact Rapid Stepping in Older Adults

Abstract: Precision medicine is radically altering clinical practice, with genetic information from patients opening new avenues for the treatment of a variety of maladies. With the discovery of numerous genetic polymorphisms that may impact physical performance attributes like

strength, balance, and endurance, the possibility of applying the principles of precision medicine to physical therapy is becoming clinically relevant; this can be especially beneficial in elderly patients, who often face balance and falling issues that may be influenced by their genotype. Peroxisome proliferator-activated receptor-γ coactivator-1α (PGC1α; also known as PPARGC1A) is a transcriptional coactivator that has been linked to the expression of a wide variety of genes whose products are involved in key metabolic processes, including mitochondrial biogenesis, fatty acid oxidation, and glucose metabolism. A single nucleotide polymorphism in the gene encoding PGC1α has been tentatively linked to variability in power physical performance activities like sprinting and weightlifting. We examined the impact of this polymorphism on rapid stepping in 152 elderly, community-dwelling adults. Subjects completed a timed rapid stepping test and provided a saliva sample for genotyping analysis. Results suggest that the PGC1α genotype was significantly associated with rapid stepping through an interaction with balance confidence.

Faculty advisor(s): Joseph Sucic, University of Michigan-Flint; Allon Goldberg, University of Michigan-Flint

Abstract 71

• Name(s): Sydney Tremblay        
• Institution: University of Michigan-Flint
• Presentation Title: Determining Fish Movements and Habitat Use After a Dam Removal on the Flint River; Flint, MI

Abstract: The Hamilton Dam, located on the Flint River at the UM-Flint campus, was removed during the winter of 2024–2025 and replaced with a riffle system. Prior to riffle construction and removal of the Hamilton Dam, our objectives were to 1) determine if migratory fish are spawning in the restoration area; 2) evaluate the percent of fish of each migratory species that return to the Flint River each year to spawn; 3) investigate if there are differences between fish species in their movements; and 4) explore if there are sex- or size-specific differences in fish movements. Our primary focus is on walleye and sucker species. Data has suggested that fish that weighed less were more likely to return and that walleye tend to travel farther then white sucker and greater redhorse. Following the dam’s removal, we’ve continued monitoring to assess whether fish can now move upstream past the newly installed riffle system and whether they are using these upstream areas for spawning. 

Faculty advisor(s): Heather Dawson, University of Michigan-Flint   

Abstract 72

• Name(s): Uttej Reddy Podduturi        
• Institution: Kettering University
• Presentation Title: Comprehensive 1D and 3D non-isothermal modeling and analysis of PEM fuel cell

Abstract: A full-scale 3D non-isothermal model of a Polymer Electrolyte Membrane (PEM) fuel cell has been developed and investigated in this study. The 3D model incorporated details of
electrochemical reactions, species transport, reactant flows, and heat transfer in various sublayers of a PEM fuel cell. The 3D PEM fuel cell model utilizes straight channel geometry for hydrogen flow on the anode and a mesh air flow geometry on the cathode along with liquid cooling channels for thermal management. Electroosmotic drag and membrane water
permeation were considered in the model for accounting accurate water management. A Multiphysics software, COMSOL, is employed to simulate the 3D PEM fuel cell model and a MATLAB-Simulink based software tool was used to simulate a 1D Polymer Electrolyte Membrane (PEM) fuel cell model comprehensively to understand the underlaying physics associated with a PEM fuel cell system. Simulation results reveal significant spatial variations in current density and nonlinear voltage drop due to concentration losses, consistent relationship between water production and reactants consumptions, electric potentials across the membrane and potential condensation areas in the flow channel are clearly visualized. These simulations help in understanding the crucial interplay between thermal-water management and electrical behavior in optimizing fuel cell performance. The plan for the future study is to experimentally validate the model simulation results under various operating conditions and incorporate real-time control strategies for dynamic voltage and temperature regulation, improving PEM fuel cell efficiency, durability, heat and water management, and overall system reliability for sustainable energy applications.

Faculty advisor(s): Susanta Das, Kettering University   

Abstract 73

• Name(s): Varun Rangaraj        
• Institution: Kettering University
• Presentation Title: Vibrational Characterization of Golf Club Heads Using Modal Analysis and  Scanning Laser Doppler Vibrometry (SLDV)

Abstract: The vibrational behavior of golf club heads plays a critical role in understanding their structural dynamics and mechanical performance. This study presents the vibrational characterization of a golf club head through experimental Modal Analysis, using LMS Test.Lab and Scanning Laser Doppler Vibrometry (SLDV) for high-resolution, non-contact measurements. The research focuses on identifying key modal parameters, including natural frequencies, damping ratios, and mode shapes, which are fundamental for evaluating the dynamic response of the structure. A comprehensive review of prior studies on vibrational testing of sports equipment and the application of Scanning Laser Doppler Vibrometry in structural dynamics is discussed. The findings and methodologies outlined provide a solid technical basis for advancing experimental techniques in the structural analysis of sports engineering, focusing on optimizing the structural assessment of golf club heads.

Faculty advisor(s): Javad Baqersad, Kettering University   

Abstract 74

• Name(s): Wendy Da’Cruz        
• Institution: University of Michigan-Flint
• Presentation Title: Triangular Trade of Transactions: Charting Non-Market Strategies through People, Policies, and Processes

Abstract: This presentation explores the dynamic interplay between people, policies, and processes in shaping effective non-market strategies. In an increasingly interconnected global environment, organizations face challenges that extend beyond conventional market transactions. By employing a framework inspired by historical trade routes, we chart a new course for navigating these challenges, emphasizing the importance of strategic alignment between internal capabilities and external regulatory landscapes.

Drawing on case studies and contemporary research, the discussion will examine how leadership, community engagement, and cross-cultural collaboration (People) interact with ethical guidelines, legal frameworks, and compliance measures (Policies) to drive innovation and resilience. Additionally, we analyze the role of process optimization—through agile methodologies, digital transformation, and scalable project management—in facilitating seamless integration of these elements. Attendees will gain insights into building strategies that not only enhance competitive positioning but also foster sustainable growth and social responsibility. This presentation invites scholars and practitioners to reimagine non-market strategies as a coordinated journey, where each component is crucial to charting a successful course in today’s complex business landscape.

Faculty advisor(s): George White, University of Michigan-Flint   

Abstract 75

• Name(s): Gianna Mask        
• Institution: University of Michigan-Flint
• Presentation Title: Honoring Stories with the Arts: The Laramie Project

Abstract: This presentation explores projection design in a justice-centered theatre production. Through layered imagery, text, and video, stories were told in a way that honored the real voices behind the text. Working in concert with acting, lighting, design and more, projection was used to amplify justice, advocacy, and truth. 

Faculty advisor(s): Janet Haley, University of Michigan-Flint  

Abstract 76

• Name(s): Dichondra Johnson-Geiger        
• Institution: University of Michigan-Flint
• Presentation Title: The Blueprint They Ignored – The Truth About the Comeback

Abstract: Neo-Detroit challenges the dominant narrative surrounding Detroit’s “comeback” by exposing the historical, structural, and intentional disinvestment patterns that have shaped the city’s current urban landscape. Based on original MBA capstone research conducted in 2006 and revisited through the lens of 2025 realities, this poster explores the overlooked innovations of Black Detroit, the manipulation of real estate markets, the misuse of legacy narratives like Motown, and the systemic exclusion of everyday Detroiters from decision-making rooms. With firsthand commentary and decades of data, this work invites viewers to reconsider who benefits from Detroit’s redevelopment—and who is left behind.

Faculty advisor(s): George White, University of Michigan-Flint   

Abstract 77

• Name(s): Adit Kishor Sankhe, Dharma Sheelan Thiruman Krishnan          
• Institution: Kettering
• Presentation Title: Developing FMVSS 126 & 127 Test Scenarios Using Advanced Test Equipments

Abstract: This presentation outlines the development and validation of test scenarios designed to comply with FMVSS 126 and FMVSS 127 using advanced Test Equipments at Kettering University’s GM mobility Research Center. FMVSS 126 governs the performance of Electronic Stability Control (ESC) systems, while FMVSS 127 mandates functionality of Automatic Emergency Braking (AEB) and Pedestrian AEB (PAEB) systems. The presentation demonstrates use case of high-precision tools including the OxTS RT3000 v4 with RT-Range for vehicle dynamics measurement, the Racelogic VBOX4 ADAS for relative positioning and data synchronization, and the AB Dynamics LaunchPad for simulating Vulnerable Road Users (VRUs) for Validating the Vehicle Safety Standards

Faculty advisor(s): Scott LaForest, Kettering University   

Abstract 78

• Name(s): Abhishek Patil
• Institution: Kettering University
• Presentation Title: Advancing Student Innovation Through the Bulldog Bolt AutoDrive Challenge Team

Abstract: The Bulldog Bolt AutoDrive Challenge Team at Kettering University is a student led team competing in the SAE GM AutoDrive Challenge Competition with an aim to convert a stock Chevy Bolt EV into an autonomous vehicle over five years. This project provides students with real-world experience in vehicle autonomy, system integration, project management, teamwork, and leadership. The team is divided into different teams such as Controls & Simulation, Perception, Hardware, Safety, Project Management, and Marketing. Students work on vehicles with industry-relevant tools and hardware like MATLAB/Simulink, ROS, LiDAR, and cameras, integrating them to make an actual autonomous vehicle. It bridges classroom learning with practical skills and prepares students for careers in the automotive and robotics industries. This poster highlights the team’s structure, roles, and the educational and societal benefits of participating in a multidisciplinary, student-driven autonomous vehicle program.

Faculty advisor(s): Diane Peters, Kettering University