Graduate Teaching Assistant
Joined department: Fall 2022
Amit Roy is a second-year Ph.D. student in Purdue Computer Science, joined the department being offered Ross Fellowship. His research focus is mainly Graph Representation Learning and he is currently working on the Graph Anomaly Detection problem, advised by Prof. Pan Li.
Prior to joining Purdue Computer Science in the Fall of 2022, he worked as a research assistant in the Artificial Intelligence and Cybernetics Lab (AGenCy Lab) at Independent University Bangladesh where he worked on several research projects related to deep learning on graphs, funded by the ICT Division Government of Bangladesh. Also, he has experience working as a software engineer at Tiger IT Bangladesh Limited where his responsibility was to work on the back-end part of applied computer vision projects from real-time video data e.g. automated number plate recognition and object detection.
Earlier in 2020, he finished his undergrad at the Department of Computer Science, University of Dhaka, Bangladesh, securing the first position in the Faculty of Engineering and Technology with a CGPA of 3.96 on a scale of 4.00.
- GAD-EBM: Graph Anomaly Detection using Energy-Based Models (Under Review)
Amit Roy, Juan Shu, Olivier Elshocht, Jeroen Smeets, Ruqi Zhang, Pan Li [To Appear]