Principal Investigator
Dr. Cong (Callie) Hao, Assistant Professor at the Department of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology (GaTech)
Office: Klaus Advanced Computing Center, Room 2306
Address: 266 Ferst Drive, Atlanta, GA 30332
Email: callie.hao@ece.gatech.edu
Homepage: http://callie.ece.gatech.edu
Talented Ph.D. Students
Rishov Sarkar is a Ph.D. student at Georgia Tech, supervised by Prof. Callie Hao. He received his B.S. degree in 2020 in Computer Engineering with a minor in Robotics and his M.S. degree in 2021 in Electrical and Computer Engineering, both from Georgia Tech.
His research lies primarily in developing FPGA accelerators for graph neural networks using High-Level Synthesis.
Contact: rishov.sarkar@gatech.edu
Hanqiu Chen is a senior student at Nanjing University and currently working as an intern at Georgia Tech, supervised by Prof. Callie Hao. He will receive his B.S. degree in 2022 in Physics from Nanjing University and will join Georgia Tech as a Ph.D. student in Fall 2022.
His research interests include high-level synthesis, designing FPGA accelerators for GNNs and DNNs, and hardware-efficient computing.
Contact: hanqiuchen2022@gmail.com
Hang Yang
Hang Yang is a senior student at Nankai University. He will receive his B.S. degree in June 2022 in Computer Science. By this Fall, he will join Georgia Tech as a Ph.D. student. His previous research pertains to pattern recognition via machine learning in several interdisciplinary projects, including Ophthalmology, Dermatology, and Psychology.
His research interests cover Machine Learning and compiler optimization with Multi-Level Intermediate Representation (MLIR).
Contact: innallyyang@hotmail.com
Excellent M.S. Students
Stefan Abi-Karam is a first-year graduate student at Georgia Tech pursuing thesis-based Master’s degree. He received his Bachelor’s degree from Georgia Tech. Previously, he interned at NASA Goddard Space Flight Center as an Applied Machine Learning and Science Autonomy Research Intern.
His research focuses on the hardware acceleration of graph neural networks.
Contact: stefanabikaram@gatech.edu
Akshay Kamath is a first-year Master’s thesis student at Georgia Tech. He received his Bachelor’s degree from NITK Surathkal, India. Before joining Georgia Tech, he spent over 4 years as an ASIC RTL Design Engineer at Samsung Semiconductor India Research (SSIR) developing cryptographic accelerator IPs, high-speed mixed-signal transceiver IPs, and test chips. He has also previously interned at the University of Toronto as a Mitacs Globalink Fellow.
His research involves the development of scalable FPGA-based accelerators for computer vision applications using High-Level Synthesis tools.
Contact: Akshay’s LinkedIn
Lakshmi S
Lakshmi is a Master’s thesis student at Georgia Tech, supervised by Prof. Callie Hao. She received her B.Tech. in ECE from Amrita Vishwa Vidyapeetham, India.
Her primary interest is in enabling research and discovery through the use of efficient AI/ML methods, particularly Graph Neural Networks, as well as the use of HLS-based hardware-level optimizations to enable faster ML on FGPA.
Contact: lsathidevi3@gatech.edu
Priyal Chhatrapati is a first-year Master’s student at Georgia Tech. He received his Bachelor’s degree from BITS Pilani (Goa), India. Before joining Georgia Tech, he worked for SiFive as a VLSI Engineer in the FPGA team. Previously, he has worked at National University of Singapore for his Bachelor’s thesis on Approximate Computing, and in Shakti Microprocessor team (RISE Labs), IIT Chennai on IP design for Convolutional Neural Network Accelerators.
His research involves the development of scalable FPGA-based accelerators for computer vision applications.
Contact: ch.priyal98@gmail.com
Yahya Alhinai
Yahya Alhinai is a first-year graduate student at Georgia Tech pursuing an ECE Master’s thesis supervised by Prof. Callie Hao. He received his Bachelor’s degree in Computer Engineering from The University of Minnesota – Twin Cities. His previous projects span different disciplines ranging from unconventional logic computing to algorithms, to mathematics.
His research interest is in developing various algorithms and ML model architectures optimized for speed and efficiency in FPGA using High-Level Synthesis tools.
Contact: alhinai@gatech.edu
Tejas Shah is a first-year MS ECE student at Georgia Tech pursuing Special Problem (Fall 2021 and Spring 2022) under the supervision of Prof. Callie Hao. His work lies at the nexus of Deep Learning and Hardware Design with applications in Healthcare. He has previously worked on designing subsystems for Medical Devices at the Indian Institute of Science and at Siemens Healthineers.
His research is focused on exploring and developing generic Neural Architecture (and Implementation) Search algorithms.
Contact: tejas17shah@gmail.com
Rohan Banerjee
Rohan Banerjee is a first-year graduate student in Electrical and Computer Engineering at Georgia Tech. He completed his undergrad at BITS Pilani, India, followed by a brief stint in the industry as an RTL Design Engineer in the Samsung Semiconductors India R&D SoC team.
He is pursuing a Special Problem (Spring 2022), supervised by Prof. Callie Hao, involving the acceleration of State-of-the-Art Object Detection and Tracking Algorithms on an FPGA.
Contact: Rohan’s LinkedIn
Diego Fratta is a first-year graduate student at Georgia Tech. He received his Bachelor’s Degree from the University of Wisconsin – Madison. During his undergrad, he researched real-world object displays in virtual reality.
Diego is working on a Special Problem for the Spring 2022 semester on Complex-Valued Neural Networks with Prof. Callie Hao and Dr. Kanishka Tyagi from Aptiv.
Contact: fratta@gatech.edu
Atrey Hosmane
Atrey Hosmane is a first-year ECE graduate student at Georgia Tech. He completed his Bachelor’s degree from BMS College of Engineering, India. Before joining Georgia Tech, he worked as an RTL Design Engineer at Samsung Semiconductors India R&D (SSIR) developing Flash controller IPs for Samsung SSDs. He has also previously interned at Synopsys India.
He is pursuing a Special Problem (Spring 2022), supervised by Prof. Callie Hao, involving the acceleration of State-of-the-Art Object Detection and Tracking Algorithms on an FPGA.
Contact: atreyhosmane@gmail.com
Nithyashree Prabhu
Nithyashree Prabhu is a first-year MS ECE student pursuing a Special Problem on FPGA acceleration under Dr. Callie Hao for the Spring 2022 semester. Before starting her graduate studies at Georgia Tech, she worked with ARM for designing branch predictors for embedded applications.
Her research interests are in computer architecture, embedded systems, and related domains.
Ziqiao Xu (thesis)
Wendell Hom (Co-supervised with Dr. Oliver Brand)
Awesome Undergraduate Interns
Ali Besharati
Ali Besharati finished his B.S. in Mechanical Engineering at the K.N.Toosi University of Technology. He is currently working as an intern under the supervision of Prof. Callie Hao.
His research mainly focuses on Generic Neural Architecture Search and hardware acceleration.
Contact: a.besharati.ali@gmail.com
Eunjee Na
Eunjee Na is an undergraduate intern at Georgia Tech starting in Spring 2022.
Hanran Wu
Hanran Wu is a second-year undergraduate student at Georgia Tech working as an intern at Sharc Lab starting in Spring 2022.
His research involves approximate computing for GNNs.
Boyi Wei
Boyi Wei is a third-year undergraduate student at the University of Science and Technology of China (USTC) working as an intern in Sharc Lab since Spring 2022.
His research mainly focuses on GNN Neural Architecture Search and hardware acceleration.
Terrific Collaborators/Co-supervised Students
Nan Wu, Ph.D. candidate, University of California, Santa Barbara, co-supervised with Prof. Yuan Xie
Dr. Xinyi Zhang, Ph.D., University of Pittsburgh, co-supervised with Prof. Jingtong Hu. Degree obtained March 2022.
Alumni Interns/Students
You-Young Lee, 2021 fall semester research intern.
Zihang Qiao, undergraduate, 2021 summer/fall intern, Beijing University of Posts and Telecommunications, China
Zekun Li, undergraduate, 2021 summer/fall intern, Georgia Tech, USA.
Parima Mehta, master (Special Problem, Fall 2021)
Abhinav Sharma, undergraduate, 2021 summer/fall intern, Indian Institute of Information Technology, India.
Yuqi (David) He, undergraduate, 2021 fall intern, Georgia Tech, USA.