Digital Commons Network^™

Designing Crime Prevention And Crowd Management Plans For The New Berea Campus Expansion Project For The Cleveland Browns, Elleana G. Grant

Williams Honors College, Honors Research Projects

The Cleveland Browns are expanding their CrossCountry Mortgage Campus by 16 acres. This research seeks to answer a core question: How can the design of the new expansion support both crime prevention and effective crowd management for events drawing up to 6,000 guests? Additional research questions include identifying the safety risks associated and determining which evidence-based strategies are most appropriate. The main goal of this research is to ensure that the expanded campus is safe for all visitors. This work is motivated by the significant increase in daily activity that the expansion will bring, not only during major events, but …

Codezip: A University-Based Coding Practice And Collaboration Platform, Manoj Khatri

Williams Honors College, Honors Research Projects

This project proposes the development of CodeZip, a university-exclusive web platform designed to help University of Akron students practice coding problems, prepare for technical interviews, and engage in collaborative learning. CodeZip ensures a secure environment by restricting access to users with @uakron.edu email addresses via Clerk API authentication.

The goal of this honors project is to expand CodeZip into an intelligent, interactive system. Planned enhancements include AI-generated problem hints, automated grading with performance analytics, and a visual dashboard to track learning progress. These features will provide personalized guidance, encourage collaboration between students and alumni, and create a dynamic platform that …

Ai-Based Music Mood Analysis With Historical And Real-Time Data, Biswash Bhattarai

Williams Honors College, Honors Research Projects

The Music Mood Analyzer Dashboard identifies and visualizes the emotional tone of songs using audio features like tempo, energy, and valence. It classifies tracks into moods such as happy, sad, or calm and presents insights through an interactive dashboard. The project combines music analysis and data visualization to help users understand how sound relates to emotion.

Effects Of Hofmeister Ions On Lower Critical Solution Temperatures Of Poly(N-Isopropylacrylamide) And Poly(Vinyl Methyl Ether), Joseph Joaquin

Williams Honors College, Honors Research Projects

The goal of this study is to compare how four different Hofmeister anions (Cl-, SCN-, F-, and I-) affect the Lower Critical Solution temperature (LCST) on two thermo-responsive polymers: poly(N-isopropylacrylamide) (pNIPAAM) and poly(vinyl methyl ether) (PVME). pNIPAAm is commonly used in the environmental applications such as monitoring, oil-water separations, or antifouling materials, and in medical industry from drug delivery to tissue engineering. When pNIPAAM or PVME reaches a temperature above their LCST, they become hydrophobic, and the polymer chains coiled, leading to their aqueous solutions turn opaque. PVME exhibits a similar LCST as that of pNIPAAM, so it can be …

Pitch Report: Purdue Ivy Tech Chips Evaluation Report, Jennifer Sdunzik

Evaluation and Learning Research Center Reports

The Purdue Ivy Tech CHips (PITCH) program is a university-industry-community partnership aimed at developing an educational pipeline capable of providing a qualified workforce for the growing semiconductor industry in the region. Increasing student interest in microelectronics, awareness of current and future microelectronics careers, and self-efficacy to pursue microelectronics opportunities are foundational to building the industry’s workforce. The PITCH program addressed these needs by offering a summer experience that introduced high school students to the semiconductor industry.

The PITCH leadership team engaged Purdue's Evaluation and Learning Research Center (ELRC) to (1) identify (short and longer-term) impacts of the summer program on …

Simplified Traffic Studies For Local Agencies, Laura Slusher

Indiana Local Technical Assistance Program (LTAP) Publications

Traffic studies are critical in the decision-making process for many transportation-related projects, funding requests, paving and plowing priorities, and in reporting to elected officials and the public. It is often difficult for local jurisdictions with limited equipment, staff, and time to perform these studies or have the funds available to hire them out. This handbook describes simplified procedures that are easy to apply and are written for all potential users.

Advancing The Iot4ag Agbridge Program Through Continuous Improvement Practices, Yury A. Kuleshov, Yaguang Zhang

Indiana STEM Education Conference

The authors are implementing improvements to the pilot AgBridge program. The AgBridge program is a mentorship program that brings together graduate students in engineering and/or engineering technology and education and matches them with educators in agriculture-related fields with support from faculty members and volunteers. Each team creates an educational product for use in a K-12 classroom, such as school curriculum focused on a research project. The program approach differs from a conventional post-secondary classroom, where students of different majors have minimal interaction with one another and have limited input from practitioners and/or industry professionals. The authors used feedback data to …

Proceedings Of The Eleventh Annual Indiana Stem Education Conference: Stem Journeys, William S. Walker Iii, S. Selcen Guzey

Indiana STEM Education Conference

The Proceedings of the Eleventh Annual Indiana STEM Education Conference are edited by the Center for Advancing the Teaching and Learning of STEM (CATALYST, https://www.education.purdue.edu/catalyst/) at Purdue University. The theme for the 2026 conference is STEM Journeys, celebrating the multiple pathways and experiences that advance student learning in STEM education.

Renewable Energy Innovation: A Mathematics-Driven Integrated Stem Approach For K-12 Classrooms, Humphrey Chinenye Ochulor, Dayat Hidayat

Indiana STEM Education Conference

This research brief presents Renewable Energy Innovation (REI) as a mathematics-driven Integrated STEM (iSTEM) approach for engaging upper elementary and middle school students to design, analyze, test, and refine solar cars and wind turbines through mathematical modeling (MM) and problem solving (PS). Research suggests that renewable energy activities support students’ abilities to design systems, quantify variables, construct multiple representations, and refine mathematical models to clarify relationships between energy output and design features. Positioning mathematics as the driver in REI iSTEM engineering design contexts aligns with the Common Core State Standards for Mathematics and foregrounds mathematics as a primary organizing discipline …

Optical Fibre Raman Spectroscopy: A Potential Novel Sensor System For Monitoring The Durability Of Concrete Structure, Yanfei Yue, Jingjing Wang, P. A. Muhammed Basheer, Yun Bai

International Conference on Durability of Concrete Structures

Concrete during its service lifetime, is exposed to and also interacts with the environment (such as CO2, SO42- & Cl-), which would trigger deterioration mechanisms and subsequent durability degradation. Recent decades have witnessed an increased worldwide interest in the development and application of built-in sensor networks for the purpose of continuous Structural Health Monitoring (SHM) of concrete structures. However, the existing sensors face some challenges such as the limited long-term stability and impossibility of recalibration of some optical fibre sensors. Raman spectroscopy is a vibrational technique, demonstrating unique advantages of ‘spectroscopic fingerprint’, fast response and nondestructive nature. During the past …

Stem Integration Through Environmental Data Analysis For Real-World Problem Solving, Abigail Erskine

Indiana STEM Education Conference

Integrating authentic, environmental-based data can make STEM instruction more meaningful. As part of a broader high school STEM curriculum, I designed a lesson that connects mathematical and statistical concepts, technology, and environmental data through environmental data analysis to develop real-world problem solving. Using local deer mortality data, I examined how descriptive statistics and data interpretation could reveal population and ecological patterns. Designing with real data highlighted how mathematics can serve as a lens for understanding environmental issues and promote connections across STEM disciplines. This research brief focuses on the instructional design and reflection as the lesson designer.

Breech Baby, Madison Kaufman, Cassidy Allen, Lilian Mills

Williams Honors College, Honors Research Projects

Our project aims to develop a non-invasive device to assist in turning breech babies to a head down position before delivery. Pregnant women facing breech presentations often need safe and effective solutions, yet current options like external cephalic version (ECV), maternal positioning techniques, and cesarean sections can present challenges. Key barriers include variability in maternal and fetal anatomy, patient comfort, compliance, and training for healthcare providers, along with cost and insurance concerns.

Our innovative device will address these issues by providing clear guidance and support throughout the process. It will prioritize minimizing discomfort and risk, ensuring adaptability for various stages …

From Coursework To Research: A Scalable Model For Student-Industry Ai Collaboration, Hyeong Kyun Park, Andrew Joon Cha

Indiana STEM Education Conference

Preparing students for advanced technical careers requires more than foundational theory; it demands a shift to genuine research methodology. With the rising need for university-industry partnerships in AI innovation, this case study dissects a successful student-industry AI engineering collaboration project and transforms it into an essential preparation model easily adopted by technology personnel. The student participants include undergraduate and graduate engineering, data science, and computer science students working directly with practicing industry AI engineers. While universities publish most AI research and generate higher-novelty work, industry contributes state-of-the-art models, large datasets, and computational resources. Students gain research readiness, data literacy, and …

The Influence Of Teachers And Career Counselors Of Middle School Students' Interest In Pursuing Stem Careers, Damilola Ayokanmi, Paul Asunda

Indiana STEM Education Conference

At the front of every STEM classroom, teachers hold more than just textbooks, they hold the potential to shape students’ aspirations, confidence, and perceptions of what is possible in science, technology, engineering, and mathematics (STEM). Beyond teaching content, they nurture problem-solving skills and position STEM careers as attainable (Dare et al., 2021). Career counselors complement this work by providing career-related information, exposing students to STEM professions, and guiding them through academic pathways (Rottinghaus et al., 2018). Together, these educators form an essential support system influencing students’ early career awareness (Murcia et al., 2020). This ongoing qualitative study examines how teachers …

Centering Learners' Voices: Mapping As A Tool For Visuospatial Reasoning In Mathematics, Maria Eloisa C. Nuguid

Indiana STEM Education Conference

Visuospatial reasoning considers visual imagery and the dynamics of space rooted in learners’ lived experiences. Mapping is an example of a visuospatial task where learners interact with and represent their environment. The research focuses on children’s experiences with mapping tasks in the context of informal science, technology, engineering, art, and mathematics (STEAM) education.

Undergraduate Student Support Survey And Scoring Guide, Kerrie A. Douglas, Adrian Gentry, Julie P. Martin, Tiantian Li

School of Engineering Education Working Papers

No abstract provided.

Heartbeats: Sustainable Practices In Business, Natalie Pham, Shareef Awadallah, Lily Lisco, Logan Blissenbach, Nikolaos Verginis

Williams Honors College, Honors Research Projects

HeartBeats Co. LLC is a premier audio and software technology brand that brings renewed character and performance to a stagnant space, revolutionizing the listening experience by engineering a digital music platform and headphones that possess distinct style and exceptional performance. While our team identifies and tracks trends in the market, we strive to establish market trends rather than to follow them. We are a company founded on innovation, redefining the music streaming market by combining the importance of wellness with the latest audio and software technologies and innovative functionalities. This document outlines a ten-year plan for efficient and impactful scaling, …

Bare Bones Creamery/Ice Cream, Hanna Pope, Mason Dexter, Stephen Parker, Evan Trumpower, Logan Miller

Williams Honors College, Honors Research Projects

Essentially, our project focuses on the fictional company, “Bare Bones Creamery.” Bare Bones Creamery is a company that sells all natural, affordable, no nonsense ice cream targeted towards people between the ages of 18 to 40. Our main goal is to document the process to grow and scale this company to 100 employees in about 10 years. Outside of this, we’ll also develop different departments of the company including finance, accounting, supply chain, IT/ data analytics, human resources, legal, sales, and marketing. Each department will grow with the company and will become more detailed as time progresses. Certain variables such …

Pawpulse Dog Collar, Sean Graham, Hailey Barger, Connor Mulichak, Addison Towne, Kieran Nolan

Williams Honors College, Honors Research Projects

PawPulse is revolutionizing pet care through innovative technology that enhances pet health, safety, and well-being. Combining advanced hardware designs, AI-driven analytics, and IoT integrations, PawPulse offers a comprehensive ecosystem that empowers pet owners with actionable insights into their pets' health and activity. As a global leader in pet health technology, PawPulse integrates features like real-time health monitoring, predictive analytics, and location tracking into a seamless mobile app experience.

This project examines the growth and scaling strategies of PawPulse, focusing on critical areas such as Information Systems, Analytics, and Legal frameworks. It details the company's strategic evolution from a startup to …

Nail Salon Appointment Management System., Alexander Tran

Williams Honors College, Honors Research Projects

I will create an appointment management system for my family's nail salon. This will contain a database and tables that keep track of data of the employees, customers, and the receptionist to make it easier to book appointments for the nail salon. This was originally made to create an appointment system because I have family members who don't understand technology well and wanted to make something simple and intuitive for anyone to use, since the appointment system that we currently use is extremely off the cuff, and this should remedy that.

Length Modulatin Hip Implant, Ethan Smith

Williams Honors College, Honors Research Projects

Leg length discrepancy is a well-documented complication of total hip arthroplasty, commonly known as hip replacement surgery. Even small differences in leg length can lead to an altered gait, increased joint stress, and long-term postural issues that may affect a patient’s overall mobility and comfort. The current method for correcting this discrepancy often involves a follow-up surgical procedure, which extends recovery time and increases the physical and financial burden on the patient. To address these shortcomings, we developed a concept for an adjustable hip implant that can be lengthened noninvasively after surgery. The design incorporates an internally housed battery and …

Machine Learning For Recession Prediction, Ethan Reusser

Williams Honors College, Honors Research Projects

Macroeconomic predictions present challenges in machine learning due to the rarity of economic recessions, the constantly-changing matter of global markets, and severe class imbalance in historical data. This project focuses on predicting the onset of United States economic recessions within a 12-month window using Python and Jupyter Notebook. A machine learning pipeline was developed utilizing multiple models: Logistic Regression, Random Forest, XGBoost, and Long Short-Term Memory (LSTM) neural networks. For class imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied strictly to training data, paired with Platt scaling for calibration on thresholds. The resulting models were evaluated in the 2005 …

Analysis Of Sessile Drop And Captive Bubble Contact Angle Measurements On Metallic And Hydrophobic Surfaces, Jack H. Darnell

Williams Honors College, Honors Research Projects

Contact angle measurements are widely used to characterize surface wettability and determine changes in surface energy, yet the choice of measurement technique can significantly influence the results. This study compares the sessile drop and captive bubble methods for measuring contact angles of sodium dodecyl sulfate (SDS) solutions on carbon steel, stainless steel, and a hydrophobic wafer. Additionally, the time‑dependent wetting behavior of water, SDS, polysorbate 20 (commercial name Tween 20), and rhamnolipids on a hydrophobic wafer was evaluated over a five‑minute period. Results show that the sessile drop method consistently produced higher contact angles than the captive bubble method on …

Surface Immobilization Of Stimuli-Responsive Polymers Using A Network Of Aminopropyltriethoxysilane, Walter Bungard, Ryan Nixon

Williams Honors College, Honors Research Projects

The goal of this honors project is to develop a cost-effective and accessible method for entrapping stimuli-responsive polymers onto solid substrates using aminopropyltriethoxysilane (APTES). The entrapment network process will first be replicated on glass or silicon using APTES and poly(N-isopropylacrylamide), involving spin coating and thermal annealing to chemically bond the polymer to the substrate. Once validated, the method will be applied to other stimuli-responsive polymers, including thermo-responsive, electroactive, and pH-sensitive types, with APTES as a control. For each sample, film stability, responsiveness, and surface behavior will be evaluated using contact angles, optical microscopy, and spectroscopic analysis, followed by statistical evaluation. …

The Impact Of Surveying, Nicholas A. Cosper

Williams Honors College, Honors Research Projects

My project consists of three parts. The first part will be helping the public. To do this I will be helping the Boy Scouts earn their surveying merit badge. This badge is known to be one of the hardest for scouts to obtain. In the next part of my project, I will be running a 3-wire level on the Davey Tree Seed Campus. This project will be extremely useful to them (the rest of this information is confidential). In the final part of my project, I will be conducting a topographical survey for the Cuyahoga Valley National Park for a …

Effects Of Coupling Agents On An Epoxy Coating And Consequent Corrosion Resistance Of Carbon Steel, Breck A. Mooney

Williams Honors College, Honors Research Projects

This project will include the determination of how coupling agents affect corrosion resistance on select carbon steel when combined with a polymer coating. This research will explore 2 different silane coupling agents: 3-aminopropyltriethoxysilane (APTES) and 3-glycidoxypropyl-trimethoxysilane (GPTMS). 1 polymer coating, Bispenol A diglicidyl ether (BADGE), will be explored as well. These coatings will be applied to select carbon steels in various ratios to determine their effects on corrosion.

Pipeline Corrosion And Relevant Microbial Influence, Renee E. Bamberger

Williams Honors College, Honors Research Projects

This study investigated the role of microbial activity and oxygen availability in the corrosion of carbon steel pipelines with a focus on microbially influenced corrosion (MIC). Sediment collected from Old Woman Creek, Ohio, was used to simulate natural soil conditions, and carbon steel coupons were incubated under four treatments: nonsterile oxic, nonsterile anoxic, autoclaved oxic, and autoclaved anoxic over 85 days. Corrosion was assessed through mass loss measurements and the analysis of pH, sulfate, chloride, and dissolved iron concentrations. The greatest mass loss was observed in autoclaved oxic conditions, contrary to the initial hypothesis that microbial activity would greatly enhance …

High School Students’ Uses Of Ai In The Writing Process: A Qualitative Study, Sydney S. Thomas

Williams Honors College, Honors Research Projects

The purpose of this Honors Research Project was to examine how Artificial Intelligence (AI) impacts the quality of student writing and to provide educators with insight into how AI-assisted work may differ from independently produced writing. This study includes a review of current literature on the growing use of AI in education, along with concerns related to student dependence and the limitations of AI-detection software. Anonymous archived student writing samples were then analyzed using a researcher-developed rubric that measured grammatical accuracy, sentence complexity, vocabulary, organization, use of evidence, and voice/originality. Results showed that AI-assisted writing consistently performed strongly in grammatical …

A Look Deeper Into Ohio’S Opioid Crisis And The Lasting Political Effects Of The Issue, Robert C. Dunn

Williams Honors College, Honors Research Projects

This research studies how the opioid crisis deepened partisan divisions in Ohio from the late 1990s to the present. By investigating political responses from both policy-makers and voter behavior following the introduction of OxyContin. This study will focus on the relationship between addiction and overdose rates, which influences those ideological divides. Using qualitative research, such as political rhetoric and legislative responses, and quantitative research, such as election results, to find a correlation between the opioid crisis and partisan polarization. This project aims to highlight how politically motivated decision-making can prevent proper bipartisan responses.

Network Merge, Alexander York

Williams Honors College, Honors Research Projects

This project will be simulating the merge of two company's networks. Company A will contain two sties connected with a VPN, and will extend this VPN to one site for Company B. This project will focus on researching how merging a network works, how routes are commonly redistributed across different routing protocols, and how each site can run their own but link servers(DHCP, DNS, etc.). Both sites will be secured from both outside and inside attacks through passwords and other network security features such as VLANs & BPDU Guard.