Bio

Zhishan Guo is an associate professor in the Department of Computer Science at NC State University, where he also holds an affiliated faculty position in the Operations Research Graduate Program. His research focuses on real-time scheduling theory, machine learning theory, and their applications in cyber-physical systems. His work spans areas such as embedded and real-time systems, parallel and distributed systems, and healthcare information technology.

Before joining NC State in 2022, Guo held faculty positions at the University of Central Florida and Missouri University of Science and Technology. His work has earned multiple honors, including the ACM SIGBED CAREER Award (2023), Best Paper Awards at RTSS and ICIST (2023), and the UCF Reach for the Stars Award (2022).

Area(s) of Expertise

Algorithms and Theory of Computation
Artificial Intelligence and Intelligent Agents
Cyber-Physical Systems
Embedded and Real-Time Systems
Health Care Information Technology
Parallel and Distributed Systems

Publications

• CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage , Proceedings of the AAAI Conference on Artificial Intelligence (2026)
• ULTRA-MoCap: A Multimodal IMU and sEMG Dataset for Upper Body Joint Kinematics Analysis , Scientific Data (2026)
• DOMAIN ADAPTATION TECHNIQUE TO TRANSFER KNOWLEDGE AMONG DIFFERENT DATASET FOR IMPROVED KINETICS ESTIMATION , (2025)
• Faster Classification of Time-Series Input Streams , DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (2025)
• Knowledge transfer-driven estimation of knee moments and ground reaction forces from smartphone videos via temporal-spatial modeling of augmented joint kinematics , PLoS ONE (2025)
• Lightweight and Efficient Kinetics Estimation with Sparse IMUs via Multi-Modal Sensor Distillation , IEEE Sensors Journal (2025)
• Soteria: A Formal Digital-Twin-Enabled Framework for Safety-Assurance of Latency-Aware Cyber-Physical Systems , Proceedings of the 28th ACM International Conference on Hybrid Systems: Computation and Control (2025)
• ULTRA-MoCap: A Multimodal IMU and sEMG Dataset for Upper Body Joint Kinematics Analysis , (2025)
• Wearable PPG-to-Multi-Lead ECG Conversion for Cardiac Monitoring , (2025)
• When machine learning and neural networks marry real-time scheduling , Real-Time Systems (2025)

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