Yuzhen Qin
Radboud University, Nijmegen, Netherlands.
Office: MM 02.364
Email: yuzhen.qin@ru.nl
I am a Tenure-Track Assistant Professor in the Department of Machine Learning and Neural Computing in Donders Institute for Brain, Cognition and Behaviour at Radboud University, the Netherlands. I am also a member of Dutch Brain Interface Initiative (DBI2), a multi-institude consortium.
I obtained my Ph.D. in Dec. 2019 from University of Groningen, the Netherlands, advised by Prof. Ming Cao. I received my M.E. from Wuhan University in 2015. From 2020 to 2023, I was a Postdoctoral Researcher with Prof. Fabio Pasqualetti with the Department of Mechanical Engineering at the University of California, Riverside.
Curent Research Topics
- Modelling and Control for Brain Disorders Dynamics
- Control of Complex Networks
- Efficient Online Decision-Making (Reinforcement Learning and Bandits)
- Data-Driven Control
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news
Sep 12, 2024 | We submitted a paper “Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic Environments” to 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (Arxiv). |
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Aug 15, 2024 | We submitted our paper “Vibrational Control of Complex Networks” to IEEE Transactions on Control of Network Systems (Arxiv). |
Jul 25, 2024 | Our paper has been accepted to IEEE CDC 2024. |
Mar 25, 2024 | We submitted our paper “Analytical Characterization of Epileptic Dynamics in a Bistable System” to IEEE CDC 2024. |
Nov 6, 2023 | Our paper “Vibrational Stabilization of Cluster Synchronization in Oscillator Networks” has been accepted to IEEE Open Journal of Control Systems (HTML). |