I am a PhD student at Georgia Tech in the School of Electrical and Computer Engineering under my advisor Prof. Cong (Callie) Hao as part of Sharc Lab. My main research area is in the intersection of hardware acceleration and applied deep learning as well a mix of other topics, including electronic design automation (EDA), FPGA architecture, VLSI algorithms, non-linear optimization, and high-level synthesis (HLS).
I am also a research faculty at Georgia Tech through Georgia Tech Research Institute (GTRI) within the Cybersecurity, Information, Communication, Command and Control and Software Systems (CIPHER) lab division.
Google Scholar: https://scholar.google.com/citations?user=y1QO9ooAAAAJ
Graph Neural Network Accelerators
Building FPGA accelerators for graph neural networks (GNNs) using HLS. Also building an automated framework to translate PyTorch models to GNN accelerators.
Graph Neural Networks for Electonic Design Automation and Hardware Security
Using GNNs to better representations of digital hardware netlists. Also using these representations to build EDA and HOST tools for hardware designers. Currently exploring self-supervised learning and multi-task learning for this problem.
M5: Multi-modal Multi-Task Model Mapping on Multi-FPGA with Accelerator Configuration Search
Akshay Karkal Kamath, Stefan Abi-Karam, Ashwin Bhat and Cong Hao
| Conference: DATE 2023 |
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference
Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao
| Conference: HPCA 2023 | Link 1 |
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration
Stefan Abi-Karam*, Yuqi He*, Rishov Sarkar*, Lakshmi Sathidevi, Zihang Qiao, Cong Hao
| Preprint: Arxiv | Link 1 |
Honors and Awards
Recipient of the Georgia Tech "Warren Batts and Austin Brown Innovation Award" VIP Scholarship
| Georgia Tech |
3rd Place Oral Presentation
| The Georgia Tech Undergraduate Research Symposium |
- Member | Institute of Electrical and Electronics Engineers (IEEE)
- Member | Association for Computing Machinery (ACM)
- Member | American Meterological Society (AMS)
Python and Computer Science Foundations + Scientific Computing + Data Science + Machine Learning / Deep Learning + Scientific Data Visualization
| American Heritage School, Grades 9-12 | Plantation, FL, USA | Link 1 |