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
- A Wearable Motion Capture Dataset for Gait Analysis Using IMUs and Shank-Mounted Egocentric Cameras , Scientific Data (2026)
- Anytime ROS 2: Timely Task Completion in Non-Preemptive Robotic Systems , Proceedings - Real-Time Technology and Applications Symposium (2026)
- CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage , Proceedings of the AAAI Conference on Artificial Intelligence (2026)
- DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction , arXiv (Cornell University) (2026)
- Edge-Assisted Utility-Aware Scheduling for Real-Time Layered ECG Transmissions , IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) (2026)
- Explainable Context-Aware Fusion Network for Non-Small Cell Lung Cancer Analysis with Application to Smart Healthcare Systems , Computer Modeling in Engineering & Sciences (2026)
- Lightweight and Efficient Kinetics Estimation With Sparse IMUs via Multimodal Sensor Distillation , IEEE Sensors Journal (2026)
- PlantBGC: Transformer for Plant BGC Discovery via Label-Free Domain Adaptation and Weak Supervision , arXiv (Cornell University) (2026)
- STAR-GS: Truthful and Visibility-Aware Resource Scheduling for Ground Station as a Service , arXiv (Cornell University) (2026)
- Supporting Mixed-Criticality and Mutually Exclusive Callback Groups in Multi-Thread ROS 2 , Proceedings - Real-Time Technology and Applications Symposium (2026)
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.
Groups
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