Tsung-Yi Ho

Tsung-Yi Ho is a Professor in the Department of Computer Science at The Chinese University of Hong Kong. His research interests include Artificial Intelligence, Machine Learning, Computer Engineering, Intelligent Systems Integration & Design, VLSI Computer-Aided Design, Computer Theory, Optimization, and Quantum Computing. He has served as an Associate Editor for several IEEE and ACM journals and conferences, including ACM Journal on Emerging Technologies in Computing Systems, ACM Transactions on Design Automation on Electronic Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, and IEEE Transactions on Very Large Scale Integration Systems. He is a Fellow of IEEE and a Distinguished Member of ACM.

Tsung-Yi Ho is a researcher with expertise in Electronic Design Automation, Microfluidics, and Trustworthy Machine Learning. His work explores the intersection of these fields, focusing on adversarial machine learning, robust AI systems, and secure deep learning models. He has published extensively on topics such as backdoor attacks on diffusion models, adversarial object detection, and the security of retrieval-augmented generation systems. Additionally, his research addresses challenges in digital microfluidic biochips, including error recovery, droplet routing, and reagent-saving mixing algorithms. Ho's contributions emphasize the development of reliable and secure AI systems while advancing the design and functionality of microfluidic technologies for biomedical applications.