Dr. Cong (Callie) Hao is an assistant professor in ECE at Georgia Tech, where she currently holds the Sutterfield Family Early Career Professorship. She was a postdoctoral fellow in the School from 2020-2021 and also worked as a postdoctoral researcher in ECE at the University of Illinois at Urbana-Champaign from 2018-2020. 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.
Ph.D., Electrical Engineering and Computer Science, Waseda University, 2017
Hao's research centers on the design and optimization of computing systems, with particular emphasis on parallel and distributed architectures. Her work explores novel techniques to improve system performance, energy efficiency, and scalability. This includes investigations into heterogeneous computing platforms, hardware-software co-design, and developing methodologies to address emerging challenges in high-performance and embedded computing systems. Her research actively involves collaboration with students at multiple levels.
Hao's teaching focuses on core electrical and computer engineering topics, including computer architecture, embedded systems, and hardware design. She is committed to integrating theoretical foundations with practical applications, fostering analytical and problem-solving skills among undergraduate and graduate students. Her courses emphasize the development of efficient and scalable solutions in computing systems while encouraging student engagement through hands-on projects and collaborative learning environments.
- Amazon Research Award, 2022
- Best Paper Nomination, IEEE ASAP, 2022
- Sony Faculty Innovation Award, Sony Group Corp, 2022
- Best Paper Award, ACM GLSVLSI, 2021
- I Youssef, CC Hao, Late Breaking Results: FPGen-3D: Automated Framework for 3D-FPGA Architecture Generation and Exploration, DAC 2025, 1–2, 2025
- H Yang, Y Hu, Y Liu, C Hao, Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI, MLCAD 2025, 1–7, 2025
- R Sarkar, C Hao, OmniSim: Simulating Hardware with C Speed and RTL Accuracy for High-Level Synthesis Designs, Proceedings of the 58th IEEE/ACM International Symposium on …, 2025
- S Abi-Karam, R Sarkar, S Basalama, J Cong, C Hao, FIFOAdvisor: A DSE Framework for Automated FIFO Sizing of High-Level Synthesis Designs, arXiv:2510.20981, 2025
- I Youssef, H Yang, C Hao, LaZagna: An Open-Source Framework for Flexible 3D FPGA Architectural Exploration, ICCAD 2025, 1–9, 2025