Recent Projects

Think of TMS-GNN as the brain of public transit 🧠 —analyzing how passengers move and how traffic impacts their journeys.

A cutting-edge AI-powered query processor that understands, optimizes, and executes complex database queries with machine learning.

Instead of training models from scratch for every city, we teach AI how to learn efficiently from one city and apply its knowledge to another! Could be generalized to any network problem from social media to health care domains!

Traditional AI struggles with changing environments, but Dynamic Spatial-Temporal Graph Neural Networks (STGNNs) adapt in real-time. By integrating dynamic node relationships, evolving patterns, and real-time learning, this innovation unlocks smarter, faster, and more resilient AI for complex, ever-changing systems.