Cong (Callie) Hao will be an assistant professor in the School of Electrical and Computer Engineering effective in August 2021. Prior to joining the Georgia Tech faculty, Dr. Hao was a postdoctoral researcher in ECE at Georgia Tech from 2020 to 2021 and a postdoctoral researcher in ECE at the University of Illinois at Urbana-Champaign (UIUC) from 2018 to 2020. She received the Ph.D. degree in Electrical Engineering from Waseda University in 2017, and the M.S. and B.S. degrees in Computer Science and Engineering from Shanghai Jiao Tong University.
Dr. Hao believes in the power of software/hardware co-design. Her primary research interests lie in the joint area of efficient hardware design and machine learning algorithms. She is passionate about reconfigurable and high-efficiency computing and building useful electronic design automation tools.
Dr. Hao is a big fan of outdoor activities, especially mountain climbing, long distance hiking, cycling, and running. She is also a passionate but amateur Judo player.
- Reconfigurable computing and FPGAs
- Domain specific accelerators
- Hardware-aware machine learning
- Electronic design automation
- Third place winner in IEEE DAC-SDC, 2020
- Double-championship in IEEE DAC-SDC, 2019
- Third place winner in IEEE DAC-SDC, 2018
- Best Student Paper in IEEE International New Circuits and Systems Conference, 2016
- Best student paper in IEEE International Conference on ASIC, 2015 and 2013
Lixiang Li, Yao Chen, Zacharie Zirnheld, Pan Li, and Cong Hao. “MeLoPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank”, IEEE/ACM DAC, 2021
Cong Hao, Chen Yao, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-mei Hwu, and Deming Chen. "Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices." IEEE GLSVLSI, 2020
Yuhong Li*, Cong Hao*, Xiaofan Zhang, Chen Yao, Jinjun Xiong, Wen-mei Hwu and Deming Chen, "EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions", IEEE/ACM DAC, 2020
Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong,Wen-mei Hwu, Junli Gu and Deming Chen, "NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving", IEEE/ACM ICCAD, 2019
Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, and Deming Chen,"FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge", IEEE/ACM DAC, 2019
Last revised March 8, 2021