About
Our lab aims to solve real-world problems using graph theory and computational geometry insights. Based on the properties of these two fields, we ensure that data or models encode pairwise relationships— whether between people, places, companies, or machine learning nodes. These are represented as nodes and edges in a graph. Just a taste of graph theory and computational geometry!
Research Fields
- Artificial Intelligence
- Algorithm Design for Fairness and Massive Datasets
- Scheduling Problems in Robotics and Networking
- Solution/Trajectory Privacy
- Parallel Programming
Exploring Fields
- How mental health is impacted in Generation Z.
- The influence of ChatGPT and other AI on mental well-being.
- Designing empathetic autonomous systems for the elderly.
- Ensuring real expert opinions are represented in AI systems.