Student presentations
Presentations will take place at Floyd Hall in room D-202 on Dec. 8.
Nonprofit Property Management Application
9 to 9:25 a.m.
Team Members:
Kyle Munger
Luke Balentine
Demitrius Webb
Sponsor:
Steve Walsh, Vine Neighborhood Association
Faculty Advisor:
Dr. Wuwei Shen
The Vine Neighborhood Association is a local nonprofit group that seeks to improve the quality of life in the Vine by hosting parties and events, advocating for residents and equitably managing twelve residential properties. However, property management is currently complicated by fragmented spreadsheets, decentralized communication and challenges in managing tenant relationships and maintenance needs. The goal of this project is to plan and develop property management software that will allow the association to track properties, leases, tenants and maintenance requests, while providing tenants and the association with a centralized platform for communication. The project deliverables will include a React and Django web application along with supporting technical and project documentation.
VERT (Veterinary Emergency Records Transfer)
9:30 to 9:55 a.m.
Team Members:
Jake Dembowske
Alice Cutler
Gage Frei
Sponsor:
David Anderson
Faculty Advisor:
Dr. Wuwei Shen
VERT is a veterinary emergency records database that keeps a record history of pets
inspired by MyChart. Its purpose is to connect clinics and share information on individual animals in case a pet is taken to a clinic other than its normal veterinarian during an emergency. The system allows emergency veterinarians to quickly access important information such as allergies, medications, medical conditions, laboratory results, vaccination history and previous treatments. Instead of relying on phone calls, faxes or waiting for a pet’s regular clinic to open, veterinarians can access the information they need in one centralized system. The platform also includes owner consent, secure record sharing and the ability to send post-visit information back to the pet’s primary veterinarian. [EV1.1]
Consumers Energy Outage Simulator
10 to 10:25 a.m.
Team Members:
Paul Schreiber
Trent Kimmel
Kaelis White
Sponsor:
Matthew Spencer, Consumers Energy
Faculty Advisor:
Wuwei Shen
Consumers Energy is an electricity company that provides power to much of Michigan’s lower peninsula. When a power outage occurs, it is important to quickly and efficiently fix it by sending out available crew members to affected locations. Having a way to simulate these power outages helps train managers to make better decisions in regard to optimizing cost and efficiency for real scenarios. By gamifying this simulation with leaderboards, it encourages managers to improve their skills.
Douglass Community Association Web App
10:30 to 10:55 a.m.
Team Members:
Johnathon Hamblin
Andrew Klien
Jack Carlson
Brian Packard
Sponsors:
Stacey Ledbetter, B.S.’91, M.P.A.’99, Douglass Community Association
Victor Ledbetter II, B.B.A.’18, Douglass Community Association
Faculty Advisor:
Dr. Wuwei Shen
The Douglass Community Association (DCA) is a local nonprofit organization that works to enrich the Northside Kalamazoo community. The DCA sought a method for members to easily access relevant information, such as events, forms and organizational details. To answer this need, we developed a web app to augment the DCA’s static WordPress website. The web app includes an event calendar to display past and upcoming events via integration with the DCA’s existing Google Calendar setup, push notifications for community updates and event reminders through a Progressive Web App, form response tracking to improve their administrative workflow, and a staff dashboard to allow DCA staff to update the web app's information by logging in with single sign-on. We utilized modern web technologies, including React, TanStack, TailwindCSS, BetterAuth and Prisma. Ultimately, this web app allows community members to effectively navigate the breadth of the DCA's offerings.
Presentations will take place at Floyd Hall in room D-202.
Gordon Water System Procurement and Inventory System Update
8:30 to 8:55 a.m.
Team Members:
Dinh Tuan Khang
Julio Cesar Flores Cercado
Wyatt Young
Kai Watanabe
Ben Goliak
Sponsors:
Steve Duisterhof, Gordon Water System
Tom Duisterhof, Gordon Water System
Carl Karidler, Gordon Water System
Drew Gorzen, M.S.’15, Gordon Water System
Faculty Advisor:
Dr. Wuwei Shen
At Gordon Water System, the workflow from requesting delivering and decommissioning assets is currently fully manual, which means there are a lot of flaws in visibility of assets, lack of statistic of the inventory flow for business decisions and exposure to unrealized theft. The goal of the project is to be able to research, plan, develop and deploy the initial semi-automated and controllable inventory system that helps the company's internal operation and eventually be maintained by GWS internal software team as well as used by GWS operational team. The project deliverables consist of a web app for staff usage, configuration and maintenance documentation for RFID handheld/ceiling mounted UHF readers, set up a commissioning station and operational plans, and an incremental cost plan for purchasing the necessary hardware for implementing the system.
Public Media Network Mobile Application
9 to 9:25 a.m.
Team Members:
Logan Mahon
Brayden Bazner
Riannat Sanusi
Billy Schnetzler
Aaron Hrangthawng
Sponsors:
Matt Schuster, B.A.’93, Public Media Network
Britni Russell-Bianchi, B.A.’08, Public Media Network
Faculty Advisor:
Dr. Wuwei Shen
Public Media Network has found that residents of Kalamazoo and the surrounding area struggle with staying connected and informed on local governmental and community news. Currently, municipal departments, school boards, county agencies and community organizations each maintain separate information sources, forcing residents to visit dozens of different platforms to stay informed. Important information about city council meetings, zoning changes, public health alerts, school board decisions and community events is spread across multiple sources, when it exists at all. Many local government updates remain on outdated websites or are simply not published online, leaving residents unaware of decisions that directly impact their daily lives. Public Media Network aims to solve this problem by providing residents with an application that aggregates all local news sources into one centralized, user-friendly platform. Ultimately, the application seeks to improve transparency while increasing citizen engagement with local government and the community.
Bio Visualizer
9:30 to 9:55 a.m.
Team Members:
Drew Abbo
Zachary Bishop
William Laham
Claire Wood
Sponsor:
Jacklyn Brickman, Western Michigan University
Faculty Advisor:
Dr. Wuwei Shen
This project aims to create a streamlined, offline desktop application that enables artists to edit and manipulate video using real-time biofeedback and multimedia inputs within a single, cohesive workflow. Rather than relying on multiple apps, web services, or separate hardware tools, the software will unify video files, images, live camera feeds, microphone audio and USB biofeedback devices into a flexible node-based editor where users can visually chain effects and control how media is processed. Built with Rust for performance and reliability, the system will leverage FFmpeg’s mature and widely trusted media framework for robust decoding, encoding, and format support, alongside wgpu for stable, cross-platform GPU-accelerated rendering and real-time visual effects. The application will emphasize ease of use and simplicity, so artists can focus on creative expression without technical barriers.
Interventive Learning Teaching Assistant
10 to 10:25 a.m.
Team Members:
Andrew Wojciechowski
Asher Harper
Bassem Warsi
Riya Jain
Harman Sohi
Sponsors:
Dr. Larry Blackmer, Ed.D.’87, Interventive Learning
Dr. Joe Krevotics, Interventive Learning
Faculty Advisor:
Dr. Wuwei Shen
The Interventive Learning Teaching Assistant is a program that aims to assist K-5 teachers by providing an adaptive, AI powered learning assistant that can deliver personalized lessons to students in alignment with core standards in math and English. Students are assessed on their current grade level proficiency with a certain standard and are then given personalized lessons and assessments by an AI instructor, all while having their progress and feedback delivered to the teacher.
AI Symbolic Problem Grader
10:30 to 10:55 a.m.
Team Members:
Alejandra Ceballos
Ani Malachi
Borsha Podder
Chae Delarosa
Kyle Hurt
Sponsor:
Dr. Dean Johnson, Western Michigan University
Faculty Advisor:
Dr. Wuwei Shen
The AI Symbolic Problem Grader (AI-SPG) is a web system that helps instructors create and grade symbolic math problems. It replaces older tools that no longer work and aims to save time while giving students quick feedback. With the retirement and lessened use of LSI’s symbolic grading software for McGraw-Hill’s Connect, LMS has created a significant gap in automated assessment tools. Previous attempts to develop a Symbolic Problem Grader (SPG) showed promise but lacked checking capabilities that modern AI can provide. This project will bridge that gap by developing a system that utilizes artificial intelligence for accurate mathematical expression evaluation.
AV Carla Project
11 to 11:25 a.m.
Team Members:
Abby Wheaton
Meaghan Baker
Arin Brody
Calypso Harden
Sponsors:
Steve Drager, AFRL
Dr. Matt Anderson, AFRL
Ioannis Nearchou, Western Michigan University
Faculty Advisor:
Dr. Wuwei Shen
Our project seeks to develop a self-adaptive system for autonomous driving as part of an assurance case driven framework for functional autonomous vehicles within the Carla simulator. Carla is a program used to implement autonomous vehicle principles within a virtual testing environment. Using this simulation, our group is attempting to develop a vehicle that can react to surrounding traffic and obstacles within its environment while trying to reach its destination. It is also an important factor in our project that our vehicle obeys basic traffic laws while performing this task.
Autonomous Vehicle Perception and Control for IGVC 2026
11:30 to 11:55 a.m.
Team Members:
Jack Herrington
Graham Rais
Carrasco Nbunh
Ebisa Bunti
Nicholas Vreeland
Sponsors:
Dr. Zachary Asher, Western Michigan University
Dr. Shiva Om Bade Shrestha, Western Michigan University
Faculty Advisor:
Dr. Wuwei Shen
In today's constantly evolving world, autonomous vehicles are becoming more commonplace. To address this, we are building an autonomous ground vehicle, based on a donated electric wheelchair, to compete in the Intelligent Ground Vehicle Competition (IGVC) in June 2026. The project will be developed using ROS2, Python, and C++. This project has been split into two multidisciplinary teams of ME and CS students. Our responsibility is to handle perception and controls, including provisioning the lidar and camera to function as sensors for navigational data, and implementing control algorithms for the vehicle to move. We will be working with another group that will be responsible for navigation and sensor fusion. With our combined efforts, we aim to create a fully functional self-driving vehicle with the ability to sense its surroundings and intelligently plan a path forward.
3D-Mapping of WMU Main Campus and Route Generation for Autonomous Vehicles
1 to 1:25 p.m.
Team Members:
Aaron Charnas
Shannon Giberson
Mauricio Mancera-Bohorquez
Jonah Parker
Sponsor:
Dr. Zachary Asher, Revision Autonomy
Faculty Advisor:
Dr. Wuwei Shen
Autonomous vehicles require reliable route planning and obstacle avoidance capabilities. Western Michigan University’s (WMU) Disability Services for Students (DSS) offers a vehicle for student transportation, which, while not autonomous, was developed to emulate an autonomous vehicle framework. A high-fidelity map of WMU’s main campus was created for use by this vehicle and was integrated into a ROS2-based visualization and routing framework. OpenStreetMap data, refined through on-site measurements, supported generation of a Lanelet2 map for localization, routing and planning. Autoware tools enabled conversion and visualization in RViz, overlaying GPS tracking, LiDAR point clouds, routes, and detected objects. Recorded LiDAR, GPS, and IMU data were replayed using ROS bags to validate map and routing accuracy. This mapping and real-time visualization system provided a foundation for future navigation assistance research.
Autonomous Vehicle System Integration for IGVC 2026
1:30 to 1:55 p.m.
Team Members:
Rio Nugroho
Rafa Rukmanto
Charles Rodgers
Sponsor:
Dr. Zachary Asher, Western Michigan University
Faculty Advisor:
Dr. Wuwei Shen
For Western Michigan University’s first year participating in the Intelligent Ground Vehicle Competition (IGVC), the various subsystems responsible for fully autonomous driving required a cohesive and well-structured integration. Because this is the inaugural year, the team developed the required architecture and integration strategies completely from the ground up. Utilizing ROS2, NAV2, Python, and C++, the project encompasses the creation of the system architecture and infrastructure, advanced path planning using NAV2, simulation testing in Gazebo and comprehensive field testing to validate performance. This work not only prepares the vehicle for the autonomous competition, but also provides a scalable, well documented architecture for future participation.
Access Control List Management System
2 to 2:25 p.m.
Team Members:
Ridha Chehime
Aus Al Rasbi
Rua Hamed Al Rasbi
Parker Reed
Sponsor:
Mark Broeckel, Sindecuse Health Center, Western Michigan University
Faculty Advisor:
Dr. Alan Rea
Many organizations operate in regulated environments that require periodic reviews of user access to internal systems and data. These reviews involve multiple users, systems, and data sources and follow a defined lifecycle that includes uploading access information, comparing it against expected access, documenting outcomes, and retaining records for future reference. A semi-automated access control list management system supports this process by enabling administrators to upload required datasets and receive clear, structured results that identify discrepancies requiring review. By organizing complex access information, standardizing the review process, and preserving results across review cycles, the system supports consistent, well-documented decision-making while improving clarity, accountability, and traceability within a regulated business environment.
HIPAA Security Risk Assessment/ Remediation Project
2:30 to 2:55 p.m.
Team Members:
Ashley Diget
Nick Ford
Ian Murphy
Sponsor: Mark Broeckel, Sindecuse Health Center, Western Michigan University
Faculty Advisor: Dr. Alan Rea
Creation of a Document Management System (DMS) that connects all the related HIPAA regulations, NIST Cyber Security framework, Office of the National Coordinator for Health IT (ONC) and HHS Office for Civil Rights (OCR)'s HIPAA Security Risk Assessment (SRA) questions that covered entities and business associates utilize to conduct a risk assessment per the HIPAA Security Rule requirements under a central location along with an organization's overall response; the DMS application transforms compliance management from a scattered process into a clear and accessible system. It allows users to see exactly how their organization meets each standard from various security dimensions, understand where documentation exists and easily access the materials that support compliance. This will help locate the evidence during internal reviews, audits or certification processes.
Real Time Wireless Network Monitoring Dashboard
3 to 3:25 p.m.
Team Members:
Rohin Hora
Garrett Finley
Mace Himmelspach
Zeke Graham
Sponsor:
Matthew Burke, Western Michigan University
Faculty Advisor:
Dr. Alan Rea
The WMU Wireless Network Monitoring System provides the Western Michigan University Office of Information Technology (WMU OIT) with a centralized and real-time view of wireless network performance across campus. The system collects data on throughput, latency, signal strength, and other important wireless metrics using recycled OIT laptops as clients that receive data. These measurements are transmitted securely to a central Ubuntu server and visualized on a web-based dashboard created with SigNoz. The platform allows staff to identify issues with connectivity, monitor network health, and receive alerts when performance reaches a certain threshold, ensuring that the network is reliable for students and faculty.
Presentations will take place at Floyd Hall in room D-202.
Blockchain: Construction Insurance
9 to 9:25 a.m.
Team Members:
Angel Forestieri
Jacob Rosey
John Burhans
Tristian Skinner
Faculty Advisor:
Halil Ibrahim Dursunoglu
Dr. Wuwei Shen
Our project delivers a full-stack web application that connects construction companies with insurance providers. Construction companies upload their safety records, and the system calculates Data Envelopment Analysis (DEA) scores to determine their risk category. Construction companies control which insurers can view their scores, while insurers use this information to determine policy offerings based on their risk tolerance. The application is hosted on Amazon Web Services and incorporates a Hyperledger Fabric blockchain to ensure transparency and immutability of on-chain data.
University Management System
9:30 to 9:55 a.m.
Team Members:
Benjamin Paul Morin
Dawon Yu
Lokananda Debnath
Param Joshi
Faculty Advisor:
Halil Ibrahim Dursunoglu
Dr. Wuwei Shen
The Research Expenditure Web Application is designed to streamline the collection, management and reporting of university research expenditures. Supporting four user roles—department, college, university and administrator. The system ensures secure, role-based access and data integrity. Departments can enter and manage faculty, funding and expenditure data, while higher roles view aggregated reports. Automated calculations, real-time data validation and Excel export functionality enhance accuracy and usability. Administrators can manage fiscal years, user accounts and system-wide settings. Optimized for performance, security and scalability, the application provides fast response times, single sign-on authentication, daily backups and intuitive navigation, enabling efficient oversight of research investments.
Revamp of the Begleri Tricks Website
10 to 10:25 a.m.
Team Members:
Noah Caballero
Victor Reyes-Rodreguez
Jayden Anders
Adrian Rolling
Sponsor:
Begleri Tricks
Faculty Advisor:
Halil Ibrahim Dursunoglu
Dr. Wuwei Shen
Reworking the Begleri Tricks website to the modern standard. Providing a refreshing optimized rendition for users to learn and experience new tricks of exquisite variety. Proficient loading times, revised backend, and a reimagined frontend to not only entice but also showcase what Begleri Tricks has to offer for veteran and newcomers alike to the website.
Autodesk Revit Copilot
10:30 to 10:55 a.m.
Team Members:
John Paul Dai Yoshida
Joshua Whynot
Robert McCollum
Aminul Sarker
Faculty Advisor:
Halil Ibrahim Dursunoglu
Dr. Wuwei Shen
In civil engineering and architectural design, Autodesk Revit stands as the industry standard for creating detailed blueprints and 3D models. However, a significant learning gap has emerged. Western academics have observed that students and new professionals increasingly turn to web-based large language models (LLMs) to accelerate their mastery of Revit’s complex environment. This method, while innovative, is fundamentally limited. AI-generated responses often default to code snippets for peripheral tools like PyRevit or Dynamo, rather than providing direct guidance within Revit’s core interface. This necessitates pre-existing programming knowledge and fails to integrate seamlessly into the primary design workflow. Our team was commissioned to develop a native Revit add-in that directly embeds LLM capability into the software. This integrated solution allows users to get contextual, actionable assistance without leaving their project, transforming AI from a disconnected reference into an intuitive design partner. This integration is designed to dramatically flatten the learning curve, enhance productivity and solidify foundational Revit skills by providing guidance within the authentic design environment.
Presentations will take place at Floyd Hall in room D-202.
Student Projects Lab User Management System
8:30 to 8:55 a.m.
Team Members:
Estlin Mendez
Ben Crane
Clara McGrew
Renee Ricket
Kaden Kramer
Sponsor:
Allin Kahrl, Western Michigan University
Faculty Advisor:
Halil Dursunoglu
The purpose of the project is to develop a user management system for controlling access permissions for users of the Student Projects Lab on Western Michigan University’s Parkview campus. The system is used to control passage through a light fence into the lab’s machine shop, which is connected to a tower light and alarm system, as well as several computer consoles. Access is granted to users who have passed the requisite safety training modules via permissions associated with their Bronco IDs.
Dignity in Motion
9 to 9:25 a.m.
Team Members:
Lance Rafalko
Joshua Villanueva
Michael Lusebrink
David Harrison
Nicholas McManama
Derek Ballard
Sponsor:
Judy Lowery, B.A.’97, Dignity in Motion
Faculty Advisor:
Halil Dursunoglu
The web-based application for Dignity in Motion is designed to organize, manage and track bikes given out by handling who the bike was given to, the date, lock bar code number, bike serial number, and the bike description. The main focus is on making the interface easy to understand, condensed and secure. Logging demographics for each person such as name, height, email, phone number, gender, race, age and residence information is necessary for grants and serving people in a fair manner.
Design and Develop an Immersive Mixed-Reality Anatomy Lab Lesson
9:30 to 9:55 a.m.
Team Members:
Iskandar Kholmatov
Aiden Kim
Aylin Aytemiz
Martina Acosta
Cassidy Norkett
Jin Park
Sponsor:
Dr. Guan Yue Hong, Western Michigan University
Faculty Advisor:
Halil Dursunoglu
This project aims to develop an advanced educational platform for medical students and professors facilitating hands-free interaction with cadaver-based lessons using Microsoft HoloLens 2 and Apple Vision Pro. The system will feature a modular software architecture integrating intuitive user interfaces for students and faculty along with a powerful backend for data management and real-time interactive feedback. It will include immersive 3D anatomy models, multimedia content such as videos and explanatory text, customizable lessons that allow professors to tailor content, QR code-enabled checklists for task verification and voice command functionality for seamless hands-free control. By combining these features, the platform will enhance medical education through an interactive, immersive and efficient learning environment that improves engagement and knowledge retention for students.
Dynamic GUI Application
10 to 10:25 a.m.
Team Members:
Jadon Zufall
Christian Zehner
Andrew Cichy
Colby Ogrin
Brendan Hicks
Skyler Dare
Sponsor:
Michael Wildgen, Stryker Corporation
Faculty Advisor:
Halil Dursunoglu
The objective of the Dynamic GUI application is to provide developers with an automated method of producing device interfaces during the testing and development stages. The applications, and accompanying protocols, should be able to collect device information specified by a user and draw a GUI for the device based on a provided configuration file. This will relieve engineers of the burden of programming new GUIs on their own for each new device.
Shared Mixed Reality 2.1
10:30 to 10:55 a.m.
Team Members:
Nicholas Canfield
Justin Bowker
Philip Musyoka
Mo Lian
Chae DeLeRosa
Josh Gibson
Sponsor:
Dr. Dean Johnson, Western Michigan University
Faculty Advisor:
Halil Dursunoglu
A prior CS 4900 project is extended to use shared mixed reality for purposes of displaying computer architectures. This application will involve developing a Unity game that can place and connect computer architecture elements with busses and wires that can be cast on a wall using augmented reality with several Hololens using shared mixed reality. The control of this game will be built on a server and distributed to multiple Hololens for purposes of displaying the results of the architecture in on a wall of a classroom that will enhance the educational process.
EEMM-Based Network Analysis Program
11 to 11:25 a.m.
Team Members:
Alan Ho
Raif Rosman
Nabihah Abdullah
Eric Mianowski
Anton Arzhankin
Jamie Hidgon
Sponsors:
Madison Dirickson, Western Michigan University
Dr. Scott Gaynor, Western Michigan University
Faculty Advisor:
Halil Dursunoglu
Users will be asked to answer a set of questions from nine different categories, and based on these answers, the project will generate a graph to display the relationships between these various categories. The project will be done in HTML/CSS and JavaScript.
Intrusion Detection and Prevention System (IDPS)
1 to 1:25 p.m.
Team Members:
Brendan Lee
Dylan Gearhart
Jason Le
Mike Johnson
Sponsor:
Charles Norton, Western Michigan University
Faculty Advisor:
Dr. Alan Rea
This project is an Intrusion Detection and Prevention System (IDPS) for monitoring network traffic across various sub-networks. The system is built using an open-source network security monitoring and log management platform. Our implementation focuses on identifying and mitigating cybersecurity threats across different networks. The IDPS utilizes signature-based and anomaly-based detection methods to provide real-time alerts and automated responses to potential security incidents. Additionally, the system will integrate with an existing Security Information and Event Management (SIEM) solution to enhance threat visibility and incident response capabilities.
Enterprise Security Information and Event Management (SIEM) Solution
1:30 to 1:55 p.m.
Team Members:
Evey Ortiz-Martinez
Isaac Lussier
Sponsor:
Charles Norton, Western Michigan University
Faculty Advisor:
Dr. Alan Rea
This project is an advanced security monitoring solution using industry-standard open-source technologies. The solution features a distributed architecture with redundant components for reliability and performance. The system centralizes security event collection across network infrastructure while providing analytical capabilities for threat detection and response. The SIEM is focused on being a scalable, efficient platform that transforms raw log data into actionable security insights through an intuitive dashboard interface. The result enables security professionals to efficiently monitor their environment, investigate potential incidents, and maintain appropriate security records.
Presentations will take place at Floyd Hall in room D-202.
Smart Home IOT Testbed
9 to 9:25 a.m.
Team Members:
Michael Evans
Taseen Hakim
Arden Khoo
Joel Koll
Sponsor:
Dr. Shameek Bhattacharjee, Western Michigan University
Faculty Advisors:
Halil Dursunoglu
Dr. Wuwei Shen
The Internet of Things (IoT) has become an integral part of modern homes and daily life, yet it also presents significant security risks due to its susceptibility to network attacks. This project aims to address two primary challenges: enhancing network security for IoT devices and detecting attempted attacks on the network. To tackle these challenges, we established a secure network for IoT devices using a combination of VPN, firewall protection, and controlled routing. Network traffic is continuously monitored using TCPdump, capturing relevant data such as timestamps and IP addresses. This data is transformed into a structured JSON format and uploaded to a NoSQL database hosted on Amazon Web Services (AWS) DynamoDB for real-time analysis. By simulating various network attacks, we evaluate the system’s ability to detect malicious traffic and identify the source of attacks. Our approach not only provides a secure environment for IoT devices but also facilitates advanced data analysis for network defense. Future developments include automating the traffic monitoring process and integrating machine learning models to distinguish between normal and attack traffic, further strengthening the network’s defenses.
GreenifyAI
9:30 to 9:55 a.m.
Team Members:
Annabelle Byers
Phi Duong
Alex Mason
Hemangi Patel
Sponsor:
Boris Pokidaylo, Green Expectations LLC
Faculty Advisors:
Halil Dursunoglu
Dr. Wuwei Shen
This project aims to improve the Greenify Expectations LLC website to provide information and support for customers. Our objective is to add an artificial intelligence (AI) chatbot and integrate it into the existing website. This will revolutionize the way individuals interact with the Greenify website, making it not just a platform for browsing properties but also a trusted advisor in the realm of sustainable living. This AI chatbot connects technology with personal help, improving the user’s experience by giving smart, context-aware advice on eco-friendly living.
ATOM
10 to 10:25 a.m.
Team Members:
Ahmed Alabkri
Ali Azimi
Matthew Schaney
Sam Selesky
Cody Thornell
Sponsor:
Dr. Guan Yue Hong, Western Michigan University
Faculty Advisors:
Halil Dursunoglu
Dr. Wuwei Shen
In the high-stakes environment of pediatric emergency medical services (EMS), the accuracy of medication dosing is crucial. Unfortunately, the rate of medication errors in this setting is alarmingly high, particularly for certain drugs. This project proposes the development of a mixed-reality application for Microsoft HoloLens 2 aimed at addressing this critical issue. By leveraging the immersive capabilities of mixed reality (MR) through Unity and C# development in Visual Studio, the application will assist emergency medical professionals in calculating accurate medication dosages and performing proper medicine administration. There will also be a mobile application with the same functionality as the HoloLens 2 application and a desktop app to update medicine information. The project focuses on enhancing the safety and efficiency of pediatric medication administration for drugs with high error rates, aiming to significantly reduce the potential for error and improve patient outcomes.
Shared Mixed Reality
10:30 to 10:55 a.m.
Team Members:
Ethan Cochran
Alexander Holmes
Evan Schock
Jonathon Weaver
Sponsor:
Dr. Dean Johnson, Western Michigan University
Faculty Advisors:
Halil Dursunoglu
Dr. Wuwei Shen
The Shared Mixed Reality team is developing a spatial anchoring application for the deprecated Generation 1 Microsoft HoloLens after the loss of Microsoft Azure support for a similar program for our client, Dr. Dean Johnson. The application that our team is developing will allow any personal computer or laptop to host a local environment that would allow multiple HoloLens devices to view and interact in a connected augmented reality session. Each connected HoloLens device would utilize the following features: accessing 3D models (called holograms) from a website that stores the holograms for each instance, spatially mapping your local environment for obstacles and boundaries, and integrating holograms into the mapped environment so that it shares the space with the user. The team is designing the front end of the program in the Unity platform, using C# as our programming language. The database that the application will use is built on the MongoDB framework and the hosted web application is built on the Blazenet Web Assembly (.net), both of these applications utilize C as the programming language.
Stack GUI
11 to 11:25 a.m.
Team Members:
Christian Henning
Tyler Hitchcock
Jared Stamm
Camilla Vincent
Sponsors:
Tony Dowson, M.S.’05, Stryker
George Joseph, Stryker
Faculty Advisors:
Halil Dursunoglu
Dr. Wuwei Shen
This project aims to create a new diagnostic tool that will empower engineering teams to interface with Stryker’s broad spectrum of medical products more efficiently. S.T.A.C.K. is set to replace the Stryker Debugger Tool as a primary interface for software and test engineers and aims to rectify its deficiencies. The original debugger’s monolithic design has become a significant barrier to its enhancement and evolution, stifling adaptation to new requirements and the incorporation of new products. The new tool aims to resolve this by utilizing a modular design, making scaling and maintainability a lot more manageable. This modular approach will not only simplify future enhancements and bug fixes but will also ensure that the tool remains adaptive to changes in both software and hardware. Specifically, this tool is designed to provide a way to intuitively interact with data from Stryker’s medical devices through user-friendly visualizations in a Graphical User Interface (GUI). The GUI forms the user-facing front end of a larger suite of three other modules, which are foundational to this tool’s functionality, but will be implemented by Stryker software engineers.
Smart Water Metering
11:30 to 11:55 a.m.
Team Members:
Ben Antonellis
Alex Nguyen
Gabe Smith
Sponsor:
Dr. Shameek Bhattacharjee, Western Michigan University
Faculty Advisors:
Halil Dursunoglu
Dr. Wuwei Shen
This project is focused on developing a fully homomorphic encryption system for securing smart water usage data. The system will evaluate the accuracy of encrypted computations by comparing the arithmetic mean and harmonic mean difference across ciphertext and plaintext data. By calculating this difference on the encrypted data and comparing it with non-encrypted data, we aim to assess the computational error without interfering with privacy. The system is built using Microsoft SEAL and utilizes the fully homomorphic encryption scheme ensuring that sensitive information remains secure while maintaining computational accuracy. The implementation and the analysis are performed using C++ for efficient performance. The system will be tested with smart water usage data from Spain, proving its very usefulness in practical applications. The project is designed to support privacy-preserving analytics in smart water systems without sacrificing data accuracy.
Presentations will take place at Floyd Hall in room D-202.