Research output per year
Research output per year
Personal profile
Biography
Dr. Kai Zhou received his B.S. and M.S. in automotive engineering from Chongqing University in 2007 and 2010, respectively, and received his Ph.D. degree in mechanical engineering from the University of Connecticut (UCONN) in 2015. After graduation, he worked in the industry as a research engineer and then returned to academia as a postdoctoral researcher in the advanced manufacturing research group at UCONN. Prior to joining PolyU as an Assistant Professor in May 2023, he was a Research Assistant Professor in the Department of Mechanical Engineering and Engineering Mechanics at Michigan Technological University (MTU).
Research interests
Dr. Kai Zhou has a broad research interest, ranging from structural dynamics and vibration control, structural health monitoring, prognostics and health management, smart materials and sensors, to metamaterial design and optimization. He has strong expertise in data-driven design optimization, uncertainty quantification, propagation and reliability analysis, machine learning, and modeling and simulation of multi-physics systems and processes.
Teaching
Dynamic Systems
Mechanical System Design and Analysis
Structural Mechanics
Mechanical Vibrations
Education/Academic qualification
Doctor of Philosophy, University of Connecticut
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Research output
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A reinforcement learning hyper-heuristic in multi-objective optimization with application to structural damage identification
Cao, P., Zhang, Y., Zhou, K. & Tang, J., Jan 2023, In: Structural and Multidisciplinary Optimization. 66, 1, 16.Research output: Journal article publication › Journal article › Academic research › peer-review
1 Citation (Scopus) -
Damage identification using piezoelectric electromechanical Impedance: A brief review from a numerical framework perspective
Cao, P., Zhang, S., Wang, Z. & Zhou, K., Apr 2023, In: Structures. 50, p. 1906-1921 16 p.Research output: Journal article publication › Review article › Academic research › peer-review
1 Citation (Scopus) -
Directed Gaussian process metamodeling with improved firefly algorithm (iFA) for composite manufacturing uncertainty propagation analysis
Ball, A. K., Zhou, K., Xu, D., Zhang, D. & Tang, J., May 2023, In: International Journal of Advanced Manufacturing Technology. 126, 1-2, p. 49-66 18 p.Research output: Journal article publication › Journal article › Academic research › peer-review
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Structural Damage Identification Using Piezoelectric Impedance Sensing with Enhanced Optimization and Enriched Measurements
Zhang, Y., Dupont, J., Wang, T., Zhou, K. & Tang, J., 2023, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023. Su, Z., Glisic, B. & Limongelli, M. P. (eds.). SPIE, 1248610. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12486).Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review
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A DEEP LONG SHORT-TERM MEMORY NETWORK FOR BEARING FAULT DIAGNOSIS UNDER TIME-VARYING CONDITIONS
Zhou, K., 2022, 34th Conference on Mechanical Vibration and Sound (VIB). American Society of Mechanical Engineers(ASME), V010T10A016. (Proceedings of the ASME Design Engineering Technical Conference; vol. 10).Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review