Grants per year
Personal profile
Research Interests
My research interests include design automation of intelligent cyber-physical systems and Internet-of-Things applications, cyber-physical security, energy-efficient CPS, and system-on-chip design.
Recent work in my group has been focusing on system level synthesis, optimization and modeling methodologies for intelligent cyber-physical systems. We are particularly interested in addressing timing, heterogeneity, security and energy challenges in CPS design and operation.
Education/Academic qualification
Electrical Engineering & Computer Science, PhD, University of California, Berkeley
… → 2008
Computer Science, BE, Tsinghua University
… → 2003
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Grants
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Operator 4.0 via Fatigue and Motion Analyses in a Human Digital Twin Enabled Framework for Smart Manufacturing
Cao, J., Rogers, J. A. & Zhu, Q.
UI Labs, Picatinny Center for Contracting and Commerce
4/1/21 → 3/31/22
Project: Research project
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CPS: Medium: Batteryless Sensors Enabling Smart Green Infrastructure
Miller, W. M., Packman, A., Hester, J. D., Zhu, Q. & Wells, G.
1/1/21 → 12/31/23
Project: Research project
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Securing Grid-interactive Efficient Buildings (GEB) through Cyber Defense and Resilient System (CYDRES)
Texas A&M Engineering Experiment Station, Department of Energy
5/1/20 → 4/30/23
Project: Research project
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Building Adaptive, Dependable, and Secure Systems with a Cross-Layer Weakly-Hard Paradigm
9/30/19 → 9/29/22
Project: Research project
Research Output
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Special issue on design of embedded software and systems (SI:ICESS19)
Easwaran, A., Zhu, Q. & Zhan, N., 2021, (Accepted/In press) In: Journal of Systems Architecture. 101973.Research output: Contribution to journal › Editorial › peer-review
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Toward Practical Weakly Hard Real-Time Systems: A Job-Class-Level Scheduling Approach
Choi, H., Kim, H. & Zhu, Q., Apr 15 2021, In: IEEE Internet of Things Journal. 8, 8, p. 6692-6708 17 p., 9351534.Research output: Contribution to journal › Article › peer-review
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Cross-Layer Design of Automotive Systems
Wang, Z., Liang, H., Huang, C. & Zhu, Q., 2020, (Accepted/In press) In: IEEE Design and Test.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Divide and Slide: Layer-Wise Refinement for Output Range Analysis of Deep Neural Networks
Huang, C., Fan, J., Chen, X., Li, W. & Zhu, Q., Nov 2020, In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39, 11, p. 3323-3335 13 p., 9211410.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Efficient System Verification with Multiple Weakly-Hard Constraints for Runtime Monitoring
Wu, S. L., Bai, C. Y., Chang, K. C., Hsieh, Y. T., Huang, C., Lin, C. W., Kang, E. & Zhu, Q., 2020, Runtime Verification - 20th International Conference, RV 2020, Proceedings. Deshmukh, J. & Nickovic, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 497-516 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12399 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution