Amit Roy

Graduate Student

Graduate Teaching Assistant

Joined department: Fall 2022

Education

Bachelor of Science (B.Sc), University of Dhaka, Computer Science and Engineering (2020)

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.

Selected Publications

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]

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction (Under Review)
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li [ Paper ] [ Code ]

Last Updated: Jun 14, 2022 1:28 PM