Supervisor: Syed Ahmed Rakin, Albert Kim, Prof. Jayashree Kalpathy-Cramer

Working on predicting chemical properties of small molecules using message passing neural networks

Using ~189K molecules from QM9 dataset

Supervisor: Prof. Raviprasad Aduri, Prof. Ashwin Srinivasan, Prof. Erik Meijring and Prof. Tirtharaj Dash

Working on using computer vision for plant phenotype prediction. This project is a part of The Artificial Intelligence for Future Agricultural Resilience, Management, and Sustainability (AIFARMS)

Supported by the USDA National Institute of Food and Agriculture and the National Science Foundation

Supervisor: Prof. Narendra Ahuja

Worked on tracking vehicles using vehicle re‑identification on autonomous multi‑objective sequential dataset.

Used Semantics‑guided Part Attention Network to track vehicles on nuScenes Autonomous Dataset by from one camera view to another camera view.

This model was also trained on Surveillance datasets like VeRi Wild, Cityflow.The model used Deep CNN architecture, Attention mechanism to generate semantic masks(front, side and rear).

Supervisor: Prof. C Krishna Mohan

Worked on finding the optimal path from a source to an end point using Multi Ant Colony System for Vehicle Routing Problem using Time Windows and Ant Colony Optimization algorithms.

Implemented the algorithms to deliver all the patients to closest hospitals for each time step.

Collected and created datasets from hospitals neaby Pune.

Supervisor: Prof. Sumit Biswas