My research areas are in Software Engineering, more specifically in Software Models, Software Design, and Software Testing.
I have also worked in the area of Mobile Computing.
Since 2017, I have had the privilege of collaborating with Dr. Song Chen from the Department of Mathematics and Statistics at UW–La Crosse (2013–2024) and, more recently, with Indeed Inc. (2024–present) on research in machine learning, with our work expanding into the broader field of artificial intelligence.
The student projects I have recently supervised are classified into three categories:
| Machine Learning | Mobile App Development | Software Engineering |
| OverStock: A Web Application for Stock Prediction | Vigilare - A Mobile Application using Expo with React Native | Build a Front-Desk Chatbot for the office of International Education & Engagement |
| A Web Application for Sales Forecasting | Explore Mobile App Development with React Native | DataTracker: A Comprehensive Artifact Management Tool for Embedded Chiller Applications |
| Building a Stock Machine Learning Model using Numerai Dataset | Workout Track & Plan App | Launch Web Tool Document Generator from Legacy tool Spectrum to Generate Equipment Submittals |
| A Detection Tool for Traffic Objects | An Android App for Detecting Sleep and Pausing Media | Test Case Generation from UML Models |
| Tongue Diagnosis in Diabetes by Deep Learning | An Android UWL Campus Guide App (kotlin) | A Web-based Testing Tool |
| Developing an Autonomous Driving Model Based on Raspberry Pi | A Ride Sharing Application: UberLite | A Design of the Test Engine |
| Using Machine Learning to Play the Game Super Mario Kart | Context-based Mobile User Interface | |
| A Web Application for Restaurant Recommendations | A Mobile Application for Collecting Plant Observation Data | |
| A Web-based Application for Optimal Inventory Redistribution | An Android UWL Campus Guide App (Java) |