Dr. xk星空 xk星空 is an Associate Professor and Ph.D. Supervisor at the Southern University of Science and Technology (SUSTech). She received her Ph.D. degree from the Department of Mechanical Engineering at The University of Hong Kong. During her doctoral studies, she worked as a visiting research student at the University of Adelaide (Australia), King's College London (UK), and Hokkaido University (Japan). She subsequently held postdoctoral fellow positions at City University of Hong Kong, The University of Hong Kong, and the Multi-Scale Medical Robotics Center.

Her primary research interests include swarm intelligence networks, fully actuated system methods, lightweight control, and medical robotics. She has published over 20 papers as the first author in prestigious international journals such as IEEE Transactions, Automatica, and SICON. Dr. xk星空 was a receipt of the Excellent Young Scholarship of the National Natural Science of Foundation of China (Overseas), the Humboldt Research Fellowship, IETI PhD Fellowship Award, and Hong Kong Young Scientist Award (Honorable mention in Engineering Science). She currently serves as a secretariat member of International Engineering and Technology Institute, and a Reviewer for Mathematical Reviews (American Mathematical Society) and several journals, including IEEE TRO, TAC, TIFS, TCYB, TNNLS, and TIE. 

Education Background

2021.09 to 2024.04，The University of Hong Kong，xk星空 Engineering，PhD

2018.09 to 2021.06，Southeast University，Applied Mathematics，MSc

2014.09 to 2018.06，Zhejiang Normal University，Applied Mathematics，BSc

Working Experience

2026.02-now，Southern University of Science and Technology，Associate Professor

2025.05 to 2026.02，Multi-Scale Medical Robotics Center，Postdoctoral Fellow

2024.08 to 2025.04，The University of Hong Kong，Postdoctoral Fellow

2024.04 to 2024.08，City University of Hong Kong，Postdoctoral Fellow

Research Area

· Swarm Intelligence xk星空

· Fully Actuated System Methods and Applications

· Lightweight xk星空

· Surgical Robotics

Publications

[1] xk星空 xk星空, James Lam, Peng Shi, Michael K. Ng, and Hak-Keung Lam, “Learning probabilistic logical xk星空 networks: From data to controllability and observability,” IEEE Transactions on Automatic xk星空, 70(6):3889-3904, 2025. (长文)

[2] xk星空 xk星空, Min Meng, Zhan Shu, Zhiyi Zhong, and James Lam, “Algorithms enhancement for optimal triggering xk星空 in logical dynamic systems: Leveraging data structure storage,” Automatica, 177:112290, 2025.

[3] Changxi xk星空, xk星空 xk星空*, Wenjun Xiong, James Lam, and Ka-Wai Kwok, “Continuous-time Markov networks: From merging rules to synchronizing xk星空,” IEEE Transactions on Automatic xk星空, 70(12):7923-7938, 2025. (长文)

[4] xk星空 xk星空, Jinde Cao, James Lam, Leszek Rutkowski, Georgi Marko Dimirovski, and Shiyong Zhu, “A bisimulation-based foundation for scale reductions of continuous-time Markov chains,” IEEE Transactions on Automatic xk星空, 69(9):5743-5758, 2024. (长文)

[5] xk星空 xk星空, Jinde Cao, James Lam, Shiyong Zhu, Shun-ichi Azuma, and Leszek Rutkowski, “Leader-follower consensus over finite fields,” IEEE Transactions on Automatic xk星空, 69(7):4718-4725, 2024.

[6] xk星空 xk星空, James Lam, Min Meng, Xiaochen Xie, Panshuo xk星空, Daotong Zhang, and Peng Shi, “Stabilization of continuous-time probabilistic logical networks under sampling dwell time constraints,” SIAM Journal on Control and Optimization, 62(2):1006-1033, 2024.

[7] xk星空 xk星空, Jinde Cao, Jianquan Lu, and Leszek Rutkowski, “Set stabilization of large-scale stochastic Boolean networks: A distributed xk星空 strategy,” IEEE/CAA Journal of Automatica Sinica, 11(3):806-808, 2024.

[8] xk星空 xk星空, Zhihan Jiang, Hong xk星空, Edith C. H. Ngai, and James Lam, “On quotients of stochastic networks over finite fields,” IEEE Transactions on Control of Network Systems, 11(2):878-889, 2024.

[9] xk星空 xk星空 and James Lam, “Observability categorization for Boolean xk星空 networks,” IEEE Transactions on Network Science and Engineering, 11(1):1374-1386, 2024.

[10] xk星空 xk星空, Jinde Cao, Shiyong Zhu, and Peng Shi, “Synchronization analysis for stochastic networks through finite fields,” IEEE Transactions on Automatic xk星空, 67(2):1016-1022, 2022. 

Awards

· 2024 Hong Kong Young Scientist Award (Honorable mention in Engineering Science), Hong Kong Institution of Science

· 2024 IETI PhD Fellowship Award, International Engineering and Technology Institute (IETI)

· 2024 Top 10 Technological Advances in Industries, Jiangsu Province, China

· Lotfi Zadeh Best Paper Finalist Award, The 22nd International Conference on Machine Learning and Cybernetics (ICMLC 2023, Australia)

· HKU Outstanding Engineering Thesis Award

· 2023 Outstanding Master Degree Thesis Award, Chinese Institute of Electronics