Zhishan Guo
Computer Science
Associate Professor
Computer Science
Engineering Building II (EB2) 2262
919.515.3962 zguo32@ncsu.edu WebsiteBio
Zhishan Guois an associate professor in the Department of Computer Science at NC State University. His research interests lie in real-time scheduling theory, machine learning theory and their applications to Cyber-Physical Systems.
Education
Ph.D. Computer Science UNC - Chapel Hill 2016
M.P. Mechanical and Automation Engineering The Chinese University of Hong Kong 2011
B. Computer Science and Technology Tsinghua University 2009
Area(s) of Expertise
Zhishan Guo's reseaarch focuses in the areas of real-time systems, neural networks and machine learning and applications to intelligent 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
- 2023 | ACM SIGBED CAREER Award
- 2022 | UCF Reach for the Stars Award
- 2021 | Best Industry Solution Award, RTSS
- 2020 | Best Paper Award, EMSOFT
- 2019 | Best Student Paper Award, RTSS
- 2019 | Outstanding Paper Award, RTSS
- 2014 | Outstanding (Faculty) Undergraduate Teaching Award, UNC-Chapel Hill