Amit Roy
Graduate Student
Graduate Teaching Assistant
Joined department: Fall 2022
Education
Hello, I am Amit.
I am a graduate student in Purdue Computer Science and joined the department after being offered a Ross Fellowship. My research focus is
- Graph Machine Learning
- Large Language Models
- Data Mining
Until 2023, I worked on a project with Prof. Pan Li on Graph Anomaly Detection (GAD) and developed deep learning architectures using neighborhood reconstruction-based graph autoencoder and energy-based models funded by Sony, Belgium.
Before joining Purdue Computer Science in the Fall of 2022, I worked as a research assistant in the Artificial Intelligence and Cybernetics Lab (AGenCy Lab) at Independent University Bangladesh where I worked on several research projects related to deep learning on graphs, funded by the ICT Division Government of Bangladesh. Also, I have experience working as a software engineer at Tiger IT Bangladesh Limited working 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, I finished my 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.
Academic Activities @ Purdue CS:
Spring 2024*:
CS 50200: Compiling And Programming Systems
CS 53000: Introduction to Scientific Visualization
Teaching Assistant
CS 37300: Machine Learning and Data Mining
Instructor: Prof. Steve Hanneke and Prof. Ruqi Zhang
Fall 2023:
CS 58000: Algorithm Design, Analysis, And Implementation
CS 57300: Data Mining
CS 54100: Database Systems
Teaching Assistant
CS 57800: Statistical Machine Learning
Instructor: Prof. Ruqi Zhang
Spring 2023:
CS 58700: Foundations Of Deep Learning
(CS 69000-DPL: Deep Learning)
CS 57800: Statistical Machine Learning
CS 57700: Natural Language Processing
Fall 2022:
CS 59300-CLG: Computation and Learning over Graphs
CS 53600: Data Communication And Computer Network
Selected Publications
- GAD-EBM: Graph Anomaly Detection using Energy-Based Models
New Frontiers in Graph Learning (GLFRONTIERS), NeurIPS Workshop 2023
Amit Roy, Juan Shu, Olivier Elshocht, Jeroen Smeets, Ruqi Zhang, Pan Li [Paper]