- Graduate Field Affiliation
- Electrical and Computer Engineering
Biography
Jae-sun Seo is an Associate Professor at Cornell Tech in the Electrical and Computer Engineering Department. Until 2023, he was an Associate Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU). From 2022 to 2023, he was a visiting researcher at Meta Reality Labs. Before joining ASU, he was a Research Staff Member at IBM T. J. Watson Research Center. He received his Ph.D. in Electrical Engineering from University of Michigan, Ann Arbor, and received his B.S. in Electrical Engineering from Seoul National University.
His research revolves around efficient ASIC/FPGA hardware design of machine learning and neuromorphic algorithms, and hardware-efficient AI algorithm design. He was a recipient of IBM Outstanding Technical Achievement Award (2012), NSF CAREER Award (2017), Intel Outstanding Researcher Award (2021), and IEEE TVLSI Best Paper Award (2022). He has served on the the technical program committees for ISSCC, MLSys, DAC, DATE, ICCAD, etc.
Select Publications
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Yifan He, Xiaofeng Hu, Hongyang Jia, and Jae-sun Seo, “SRAM and eDRAM-based Compute-in-Memory Designs, Accelerators, and Evaluation Frameworks,” IEEE Solid-State Circuits Magazine (SSC-M), vol. 17, no. 2, pp. 39-48, Spring 2025.
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HanGyeol Mun, Jian Meng, Xiaofeng Hu, Yuan Liao, and Jae-sun Seo, “ASAP: A 28nm Transformer Training Accelerator with Alternating Sparsity and Asymmetrical Microscaling Floating-Point Precision,” IEEE Symposium on VLSI Technology and Circuits, June 2025.
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Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, and Jae-sun Seo, “Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training,” Advances in Neural Information Processing Systems (NeurIPS), December 2023.
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Shreyas K. Venkataramanaiah, Jian Meng, Han-sok Suh, Injune Yeo, Jyotishman Saikia, Sai Kiran Cherupally, Yichi Zhang, Zhiru Zhang, and Jae-sun Seo, “A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity,” IEEE Journal of Solid-State Circuits (JSSC), vol. 58, no. 7, pp. 1885-1897, July 2023.
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Minkyu Kim and Jae-sun Seo, “Energy-Efficient Deep Convolutional Neural Network Accelerator Featuring Conditional Computing and Low External Memory Access,” IEEE Journal of Solid-State Circuits (JSSC), vol. 56, no. 3, pp. 803-813, March 2021.
Select Awards and Honors
- Best Paper Award, IEEE Transactions on Very Large Scale Integration Systems (TVLSI) 2022
- Outstanding Research Award, Intel 2020
- CAREER Award, National Science Foundation 2017
- Major Outstanding Technical Achievement Award, IBM 2012