Space Mapping and Surrogate Modeling
Efficient model-based optimization methods that connect fast coarse models, high-fidelity simulations, and engineering design decisions.
Research in space mapping, surrogate modeling, simulation-driven optimization, microwave circuits, antennas, and RF engineering.
Efficient model-based optimization methods that connect fast coarse models, high-fidelity simulations, and engineering design decisions.
Computer-aided design, tuning, and optimization workflows for microwave circuits, components, and RF systems.
Multi-objective and data-efficient optimization methods for compact, broadband, array, and MIMO antenna designs.
Applied electromagnetic modeling for wireless sensing, RF systems, and related industrial engineering problems.
Qingsha (Shasha) Cheng received the B.Eng. and M.Eng. degrees in automation from Chongqing University, China, and the Ph.D. degree from McMaster University, Canada, in 2004. He is currently an associate professor at Southern University of Science and Technology in Shenzhen, China.
His research focuses on space mapping, surrogate modeling, simulator-based tuning, computer-aided design, and fast modeling and optimization methods for microwave circuits, antennas, and RF systems.
He worked with Peking University in 1998 and joined the Simulation Optimization Systems Research Laboratory at McMaster University in 1999, later serving as a postdoctoral fellow, research associate, research engineer, and sessional lecturer.
He joined SUSTech in 2014 as an assistant professor and later became a tenured associate professor. He was appointed Adjunct Professor with the University of Regina, Canada, in 2018.
He has served as an associate editor of the International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, and has reviewed for major microwave and antenna journals.
He has organized or chaired workshops and sessions for SMSMEO, IEEE IMS, IEEE NEMO, IEEE ICCS, IEEE ACES, IEEE ICCEM, and ACES-China, including electromagnetic modeling and optimization activities for IEEE MTT-S Young Professionals.
[2023] Q.S. Cheng and Y. Kuang, "Surrogate Model Design," Electromagnetic Information Theory White Paper,Huawei 2012 Lab, 2023.
[2022] Q.S. Cheng and Z. Zhang, "Sampling methods for surrogate modeling and optimization," in Surrogate Modeling for High-Frequency Design, S. Koziel, and A. Pietrenko-Dabrowska (Eds.), World Scientific, March 2022.
[2013] S. Koziel, S. Ogurtsov, Q.S. Cheng, and J.W. Bandler, "Space mapping," in Simulation-Driven Design Optimization and Modeling for Microwave Engineering, S. Koziel, X.S. Yang, and Q.J. Zhang (Eds.), Imperial College Press, 2013, pp. 81-105.
[2013] Q.S. Cheng, J.W. Bandler, and S. Koziel, "Tuning space mapping," in Simulation-Driven Design Optimization and Modeling for Microwave Engineering, S. Koziel, X.S. Yang, and Q.J. Zhang (Eds.), Imperial College Press, 2013, pp. 107-128.
Research Assistant Professor
Postdoctoral Fellow
Postdoctoral Fellow
Postdoctoral Fellow
Ph.D. student (co-supervised with WONG Hang Steve, CityU, Hong Kong)
Ph.D. student
Ph.D. student
Ph.D. student
Ph.D. student
Master’s student
Master’s student
Master’s student
Master’s student
Master’s student
Master’s student
Ph.D. (co-supervised with Paul Laforge, University of Regina, Canada) (Graduated 2021)
Ph.D. (co-supervised with Paul Laforge, University of Regina, Canada) (Graduated 2021)
Ph.D. (co-supervised with Ross Murch, HKUST, Hong Kong) (Graduated 2021)
Ph.D. degree (co-supervised with Michael Lancaster and Yi Wang, University of Birmingham, UK and Bo Liu, University of Glasgow, UK) (Graduated 2022)
Ph.D., SUSTech-HIT joint Ph.D. program (Graduated 2022, Guangzhou University)
Ph.D. (co-supervised with Yaping Du, the Hong Kong Polytechnic University) (Graduated 2023)
Ph.D. student (co-supervised with Zhining Chen, National University of Singapore)
Ph.D. student (co-supervised with Ross Murch, HKUST, Hong Kong)
Ph.D. student (co-supervised with Yaping Du, the Hong Kong Polytechnic University)
Master’s degree (Graduated 2018)
Master’s degree (Graduated 2019)
Master’s degree (Graduated 2019)
Master’s degree (Graduated 2020)
Master’s degree (Graduated 2022)
Master’s degree (Graduated 2022)
Master’s degree (Graduated 2022)
Master’s degree (Graduated 2024)
Master’s degree (Graduated 2024)
Master’s degree (Graduated 2024)
The em+ Lab welcomes applications and inquiries from prospective master's students, Ph.D. students, postdoctoral fellows, and engineers interested in electromagnetic modeling, microwave CAD, antenna optimization, surrogate modeling, and simulation-driven design.
Signals and Systems (2024)
Advanced Nonlinear Optimization (2021-2025)
Antenna Theory and Techniques (2020-2026)
The publication section has been rebuilt from the legacy website and can now be maintained from the Django …