Intelligent Antenna Optimization
Multi-objective optimization methods for compact, broadband, and array antennas using AI-assisted techniques.
Research
Fast modeling and optimization for electromagnetic systems.
The research interface emphasizes clear categories, representative work, and direct links from each topic to related publications and projects.
Microwave CAD
CAD-oriented frameworks for simulation-driven component design.
Space Mapping
Efficient design methods that connect coarse and high-fidelity models.
Surrogate Modeling
Data-efficient modeling for microwave and antenna design workflows.
Qingsha S. Cheng
Associate Professor, SUSTech
Biography
Qingsha S. Cheng
Qingsha (Shasha) Cheng received the B.Eng. and M.Eng. degrees in automation from Chongqing University, China, in 1995 and 1998, respectively, and the Ph.D. degree in electrical engineering from McMaster University, Canada, in 2004 (Advisor: Prof. John W. Bandler). He is currently an Associate Professor at Southern University of Science and Technology in Shenzhen, China. He is a Senior Member of IEEE and has published over 200 papers, including 4 book chapters and 30+ invited presentations.
His research interests include space mapping, surrogate modeling, simulator-based tuning, multi-objective optimization, microwave circuit and antenna design, electromagnetic compatibility modeling, and AI applications in electromagnetic design.
Academic Path
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.
SUSTech Appointment
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.
Professional Service
Associate Editor of International Journal of Numerical Modelling: Electronic Networks, Devices and Fields . Reviewer for leading journals including IEEE TAP, TMTT, and MWCL. Reviewer for the National Natural Science Foundation of China (NSFC) General, Youth, and Regional Project Proposals.
Conference Activity
Award Chair of WSCE 2025, TPC Co-chair of IEEE NEMO 2025. Invited Senior Professional of IEEE MTT-S Young Professionals Workshop on Electromagnetic Modeling and Optimization. He has long organized or chaired sessions for IEEE IMS, NEMO, ACES, and ICCEM.
One of the original contributors to the Space Mapping algorithm, with more than 25 years of research experience and more than 6100 Google Scholar citations as of September 2026.
B.Eng. and M.Eng., Chongqing University
Ph.D., McMaster University, 2004
Joined SUSTech in 2014
Adjunct Professor, University of Regina, 2018
Associate Editor, International Journal of Numerical Modelling
Publications
Classified Research output
Showing 21-30 of 141 publications
Port tuning and tuning space mapping,
G. Wang, Z. Zhang, and Q.S. Cheng, "Port tuning and tuning space mapping," 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO) (Winnipeg, MB, Canada, 2023), pp. 62-65.
SSPP-based mmWave array antenna design based on MSAO framework,
G. Wang, Q. Zhu, R. Ni, and Q.S. Cheng, "SSPP-based mmWave array antenna design based on MSAO framework," 2023 International Applied Computational Electromagnetics Society (ACES) Symposium.
Yield-driven antenna design using principal directions
S. Koziel, A. Pietrenko-Dabrowska, and Q.S. Cheng, "Yield-driven antenna design using principal directions" 2022 IEEE Conference on Antenna Measurements and Applications (CAMA). (Guangzhou, China, Nov. 2022).
Surrogate-based design and tuning methods for RF/microwave devices
Y. Yu, Z. Zhang, Q.S. Cheng, B. Liu, and Y. Wang, "Surrogate-based design and tuning methods for RF/microwave devices", IEEE MTT-S Int. Microwave Symp. (Denver, CO, June 2022). (accepted)
An efficient yield-constrained design framework using global surrogates for microwave filters,
Z. Zhang, Y. Yu, Q.S. Cheng, Y. Yang, and F. Shen, "An efficient yield-constrained design framework using global surrogates for microwave filters," 2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT2022) (Harbin, China, July 2022).
Reliable design closure of high-frequency components by adaptive design specifications,
A. Pietrenko-Dabrowska, S. Koziel, and Q.S. Cheng, "Reliable design closure of high-frequency components by adaptive design specifications," 2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT2022) (Harbin, China, July 2022).
Feedless mode tracking optimization of metasurface antenna using characteristic mode analysis,
Y. Kuang, Z.N. Chen, and Q.S. Cheng, "Feedless mode tracking optimization of metasurface antenna using characteristic mode analysis," IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI 2021), (Singapore, Dec. 2021).
Quad-band impedance transformer for extremely high load impedance matching with out-of-band spurious response suppression,
R. K. Barik, Q.S. Cheng, and S. Koziel, "Quad-band impedance transformer for extremely high load impedance matching with out-of-band spurious response suppression," IEEE MTT-S International Wireless Symposium (IEEE IWS 2021), (Nanjing, China, May 2021). (FLASH competition Finalist)
Design and experimental validation of highly compact branch-line balun for quad-band applications,
R. K. Barik, Q.S. Cheng, and S. Koziel, "Design and experimental validation of highly compact branch-line balun for quad-band applications," IEEE MTT-S International Wireless Symposium (IEEE IWS 2021), (Nanjing, China, May 2021).
Gaussian process regression modeling based on landmark isometric feature mapping for antennas,
Z. Zhang, Y. Yu, F. Jiang, and Q.S. Cheng. "Gaussian process regression modeling based on landmark isometric feature mapping for antennas," EUCAP 2021.
People
Grouped profiles for current members and alumni.
The people page can organize researchers by role, degree status, and alumni year while keeping each profile compact and consistent.
Current Members 16
Hongcai Chen
Research Assistant Professor
Rusan Kumar Barik
Postdoctoral Fellow
Sounik Kiran Kumar Dash
Postdoctoral Fellow
Asif Khan
Postdoctoral Fellow
Yuxin Zhang
Ph.D. student (co-supervised with WONG Hang Steve, CityU, Hong Kong)
Takele Yonas Mirete
Ph.D. student
Yiqian Kong
Ph.D. student
Ziyi Fang
Ph.D. student
Ruiqi Xu
Ph.D. student
Yueguang Lu
Ph.D. student
Hepeng Li
Master’s student
Ziyao Nian
Master’s student
Runci Huang
Master’s student
Lingshan Zeng
Master's student
Renping Cai
Master's student
Yizhuo Zhou
Master's student
Alumni 22
Xiaolin Fan
Ph.D. (co-supervised with Paul Laforge, University of Regina, Canada) (Graduated 2021)
Song (Sam) Li
Ph.D. (co-supervised with Paul Laforge, University of Regina, Canada) (Graduated 2021)
Fan Jiang
Ph.D. (co-supervised with Ross Murch, HKUST, Hong Kong) (Graduated 2021)
Yang Yu
Ph.D. degree (co-supervised with Michael Lancaster and Yi Wang, University of Birmingham, UK and Bo Liu, University of Glasgow, UK) (Graduated 2022)
Zhen Zhang
Ph.D., SUSTech-HIT joint Ph.D. program (Graduated 2022, Guangzhou University)
Jiahua Lv
Ph.D. (co-supervised with Yaping Du, the Hong Kong Polytechnic University) (Graduated 2023)
Yu Kuang
Ph.D. student (co-supervised with Zhining Chen, National University of Singapore)
Tianrui Qiao
Ph.D. student (co-supervised with Ross Murch, HKUST, Hong Kong)
Chuanzhen Jia
Ph.D. student (co-supervised with Yaping Du, the Hong Kong Polytechnic University)
Juntao Zhang
Master’s student（Graduated 2026）
Yu Deng
Master’s student（Graduated 2026）
Junjie Tan
Master’s student（Graduated 2026）
Kaidi Xie
Master’s degree (Graduated 2018)
Yiran Song
Master’s degree (Graduated 2019)
Ying Liu
Master’s degree (Graduated 2019)
Siyuan Li
Master’s degree (Graduated 2020)
Yaxi Jiao
Master’s degree (Graduated 2022)
Jiaxin Liu
Master’s degree (Graduated 2022)
Haorui Guo
Master’s degree (Graduated 2022)
Hongzhen Yi
Master’s degree (Graduated 2024)
Guangying Wang
Master’s degree (Graduated 2024)
Fu Zou
Master’s degree (Graduated 2024)
Join Us
Available Positions
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.
News & Teaching
Short updates and courses.
News and teaching content should use the same calm visual language as publications: compact, dated, and easy to scan.
Advanced Nonlinear Optimization
Learn nonlinear optimization concepts/algorithms；Learn application of nonlinear optimization ；Learn Matlab and Optimization Toolbox ；Identify optimization problem and suggest possible optimization algorithms ；Solve optimization problems using Matlab.
Antennas and Propagation
This course covers the fundamental topics in antennas and propagation. It is composed of two parts: one part on antennas and another on propagation. The antennas section covers dipole and monopole antennas, microstrip and slot antennas, wideband and frequency-independent antennas. The propagation section coversbasic path loss models, large-scale and small-scale fading, channel measurements and channel modeling.
Signals and Systems
This course introduces convolution, LTI systems, continuous-time Fourier series, the continuous-time Fourier transform, discrete-time Fourier series, the discrete-time Fourier transform, sampling, introduction to amplitude and angle modulations.
Recent Publications
Latest journal and conference updates for the front page.
Explore the frontiers of electromagnetic modeling and optimization.
We are always looking for motivated Master's, Ph.D. students, and Postdocs. Feel free to reach out.