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The CCCN-CityU-PolyU Joint Seminar Series began in 2001, and has since become regular weekly meetings for visitors, faculty, researchers and students to discuss latest progresses in their research.
The next seminar is:
| Date & Time: | December 5, 2025, Friday, 4:30pm-5:30pm |
| Title: | Minimal Stability-Recovery in Perturbed Markov Chains |
| Speaker: | Dr Lin Lin, The University of Hong Kong |
| Venue: | FYW-3316, CityU Zoom ID 859 8869 4437 Password 123456 |
| Abstract: |
In this seminar, we will discuss stability-analysis and minimal-recovery problems for perturbed Markov chains, which serve as a fundamental model for autonomous systems operating under stochastic uncertainty and functional perturbations. To tackle the challenges of robustness assurance and resilience quantification, a computational framework is presented that establishes stability criteria through the spatial relation of reachable and invariant sets, introduces a robustness indicator to identify system-critical transitions, and synthesizes minimal recovery strategies to ensure system resilience. The theoretical results are demonstrated through two applications: an ultrasound navigation system that ensures reliable anatomical landmark identification, and a robotic soft tissue surgery plan that guarantees success against anatomical uncertainties. |
| Speaker's Bio: |
Dr Lin Lin is currently a Post-Doc Fellow at The University of Hong Kong and the Multi-Scale Medical Robotics Center, Hong Kong. Prior to that, she was a Post-Doc Fellow in the Department of Electrical Engineering at City University of Hong Kong. She received her Ph.D. degree in Mechanical Engineering from The University of Hong Kong in April 2024. She was a visiting research student at the University of Adelaide, King’s College London, and Hokkaido University in Oct.-Dec. 2022, May-Jul. 2023, and Feb. 2024, respectively. Her research interests include networked collective intelligence, logical networks, and reinforcement learning. Dr. Lin was a recipient of the Hong Kong Young Scientist Award (Honorable mention), IETI PhD Fellowship Award, the Outstanding Engineering Thesis Award from HKU, and Outstanding Master Degree Thesis Award from Chinese Institute of Electronics. |
Our Mission
The Centre for Complexity and Complex Networks aims to conduct emerging and cutting-edge research in the multidisciplinary area of complex systems and networks, including fundamental theory in dynamical networked systems and cyber physical systems, and applications in
- epidemic progression modelling
- energy systems and power grids
- information and communication systems
- transportation networks
- resilience of critical infrastructures
- cryptocurreny and blockchains
- business and finance
Through the significant and groundbreaking contributions of its members to the fundamental theory of nonlinear science and applications over the past 20 more years, the centre has established itself as one of the leading research centres in the world focusing on nonlinear science, complexity and complex systems.
Our centre promotes inter-institutional and interdisciplinary collaborations, and supports the industrial and business development of Hong Kong and the mainland via technology transfer and joint research projects.