Caiwen Ding
Assistant Professor · Algorithm-system co-design of machine learning/artificial intelligence
University of ConnecticutAbout
Caiwen Ding is an Assistant Professor at the School of Computing, University of Connecticut. His research focuses on algorithm-system co-design of machine learning/artificial intelligence, computer architecture, privacy-preserving machine learning, and neuromorphic computing. He actively explores computer vision, natural language processing, and machine learning applications in electronic design automation (EDA).
- Education: Ph.D., Northeastern University (Boston), 2019
Research Trends: His work bridges machine learning with hardware optimization (FPGAs/GPUs) and addresses cross-disciplinary challenges in secure computation and AI-driven EDA tools. Collaborative efforts span computer architecture, heterogeneous computing, and cognitive modeling for neural systems.
Scientific Awards & Honors
- NSF CAREER Award
- Amazon Research Award
- CISCO Research Award
- Best Paper Award at AAAI DCAA 2023
- Outstanding student paper award at HPEC 2023
- Best Paper Award Nomination at DATE 2018 and DATE 2021
- Publicity paper at DAC 2022
- Stanford’s World’s Top 2% Scientists (2023)
- UConn Research Excellence Awards (2021, 2023)
- UConn Provost’s Excellent in Teaching Award (2021)
Contact: caiwen.ding@uconn.edu | Phone: (860) 486-0006
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