Students
Graduate Research Assistant — MIND Lab Members
- Ashish Ashish “Conformal Temporal Convolutional Forecasting for Battery-Aware Micro-UAV Mission Monitoring”
- Chaitanya Chodi “Battery-Aware Autonomous Drone Simulation and Temporal Fusion-Based Predictive Modelling for Energy-Efficient Mission Planning” Spring 2026
- Tej Acharya “GPS Trajectory-Based Traffic Congestion Detection and Classification Using Delaunay Triangulation and Graph Neural Networks” “HAGTNet: Hierarchical Attention-based Graph Transformer Network for GPS Trajectory-Based Traffic Flow States Detection” Best Poster Presentation Award, IEEE Southeast Michigan AI Summit, 2026 Spring 2025 – Fall 2025
- Maleha Ansari “GPS Trajectory-Based Traffic Congestion Detection and Classification Using Delaunay Triangulation and Graph Neural Networks” Fall 2025 – Spring 2026
- Rinkuben Patel “Graph Neural Network-Enabled Intelligence for Unmanned Aerial Vehicle Systems” Fall 2025
- Rup Boyana “Insights into Road Safety: A Study of Holland City’s Crash Trends” Fall 2023 – Spring 2024
- Keerthana Mahalingam “Unveiling Housing Insights: Exploring Community Feedback Using the Apriori Algorithm” Fall 2023 – Spring 2024
- Pavan Paravada “Adaptive Traffic Control: SARSA Reinforcement Learning for Dynamic Urban Mobility” Fall 2023 – Spring 2024
- Neelmani Kashyap “Augmented Reality Visualization for Underground Utilities” Best Poster Award, LTU Research Day 2022 Spring 2022 – Spring 2023