Zhishan Guo
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).
Education
Ph.D. Computer Science University of North Carolina at Chapel Hill 2016
M.Phil. Mechanical and Automation Engineering The Chinese University of Hong Kong 2011
B.E. Computer Science and Technology Tsinghua University 2009
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)
Grants
This award supports planning for a large-grant project addressing the scalability issue among heterogeneous systems, specifically for big-data and deep-learning applications. This project supports an interdisciplinary planning process, with researchers from computer architecture, high-performance computing (HPC), security and privacy, systems, and algorithms.
This project aims at developing an intelligent bar hanger that intelligently leverages several cloud-point cameras as input and grabs the bar to hang it towards a targeted pin via a Robot Arm. Location identification at mm level, path planning with constraints, real-time control system module integration are the major efforts.
Honors and Awards
- Best Paper Award, RTSS - 2023
- Best Paper Award, ICIST - 2023
- ACM SIGBED CAREER Award - 2023
- UCF Reach for the Stars Award - 2022
- Best Industry Solution Award, RTSS - 2021
- Best Paper Award, EMSOFT - 2020
- Best Student Paper Award, RTSS - 2019
- Outstanding Paper Award, RTSS - 2019
- Outstanding (Faculty) Undergraduate Teaching Award, Department of Computer Science, UNC-Chapel Hill - 2014-2015
- Humboldt Research Fellowship (for experienced researchers) - 2024