- Aditya completed his BS and MS theses during January 2025 - May 2026
- He also did a summer internship in the lab during summer 2023
- He worked on time series data, federated learning, and computer vision for smart transporation and vision on edge.
Contributions
- M.S. thesis title: Robust traffic sign recognition for low-light environments and temporally stable edge deployment
- Submitted two papers from his Masters’s work. Both are under-review.
- Curated an Indian night-time traffic dataset and developed a multimodal CLIP–GCNN classifier with adaptive image enhancement for traffic sign recognition.
- Deployed a lightweight TSR pipeline on NVIDIA Jetson Orin Nano with track- aware temporal stabilization and hysteresis-based label locking
- During his summer internship, he developed a state-of-the-art LSTM based framework for energy forecasting in residential and commercial buildings with limited training data leveraging physical and weather parameters. He published this work in the Energy and Buildings journal
