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Product ManagementProjects, Case Studies, and Insights
ACES PortalThe ACES Portal is a single, centralized tool for managing key distribution and space access. Replacing outdated paper methods, it integrates AngularJS, Node.js, and MariaDB to enable quick requests, real-time tracking, and automated approvals—all within a user-friendly digital workflow.
BGSU Student Retention (pt. 1)We built a robust, automated data pipeline using Python to collect and clean fragmented student data from across the university’s systems and web platforms.PythonAutomationSeleniumWeb Crawling
BGSU Student Retention (pt. 2)Using Random Forest and XGBoost, we developed interpretable models to predict student retention risk based on academic, behavioral, and engagement patterns.Random ForrestXGBoostPredictive AnalysisSQL
BGSU Student Retention (pt. 3)We translated predictions into intuitive Power BI dashboards that empowered advisors to act early and support students with data-informed conversations.Power BIInteractiveDashboard
Meat Sciences Lab Mobile AppWe created a mobile MVP for the University of Illinois Meat Science Lab, using Adobe XD and AngularJS to modernize offline ordering. Key features included a featured meats section, recipe suggestions, simple ordering, and a subscription system.App DevelopmentAngular JSSCSSAdobe XD- No imageRAG based Knowledge Graph Construction on ALSGraphNeo4jOntology
RESEARCHPublished Papers and Preprints
High Impact Attacks on Graph Neural Networks
Anonymous
Under review
Adaptive Horizons: Advancing Continual Learning for Domain-Specific Large Language Models
Anonymous
Under review
Flexible Memory Rotation (FMR): Rotated Representation with Dynamic Regularization to Overcome Catastrophic Forgetting in Continual KG Learning
Lijing Zhu, Dong Hyun Jeon, Wenbo Sun, Li Yang, Yixin Xie and Shuteng Niu
IEEE BigData, 2024
KGIF: Advancing Graph Attention Networks for Relation aware recommendations through Information Fusion
Dong Hyun Jeon, Wenbo Sun, Houbing Herbert Song, Dongfang Liu, Velasquez Alvaro, Yixin Chloe Xie and Shuteng Niu
IEEE BigData, 2024
Surprised or Not Surprised? Exploring a Visualization Tool for COVID-19 Data
Dong Hyun Jeon, Jong Kwan Lee, Prabal Dhaubhadel and Aaron Kuhlman
ISIITA 2023
Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection
Zenan Sun, Jingyi Su, Dong Hyun Jeon, Alvaro Velasquez, Houbing Song and Shuteng Niu
IEEE IPCCC, 2022
TeachingTeaching Experience
CS1010: Introduction to Python Programming
Fall 2024, Spring 2025
Algorithms. Programming language features: expressions, assignments, functions with parameters, conditions, loops and arrays. Several programming assignments required. Does not apply to the computer science major. The programming concepts encompass not only the basic constructs common to almost all programming languages, but also problem-solving techniques and analytical thinking. This course will require considerable effort in problem analysis and design, coding, testing, and debugging Python programs. While the concepts taught in this course are relatively simple, when used together in a large program, the cognitive complexity of their interrelations can be challenging and time consuming.