Yuzhen Qin
Radboud University, Nijmegen, Netherlands.
Office: MM 03.385
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 backed by a substantial 10-year grant totaling € 21.9M.
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 in the Department of Mechanical Engineering at the University of California, Riverside.
Curent Research Topics
- Control of Complex Networks
- Modeling and Control of Brain Dynamics
- Efficient Online Decision-Making (Reinforcement Learning and Bandits)
- Data-Driven Control
Google Scholar | LinkedIn | Twitter (X) | ResearchGate
news
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). |
Sep 16, 2023 | I started a new position as an assistant professor in the Department of Machine Learning and Neural Computing in the Donders Institute for Brain, Cognition and Behaviour at Radboud University, the Netherlands! |
Feb 18, 2023 | I gave a talk on “Stochastic Contextual Bandits with Long Horizon Rewards” at ITA 2023. |
Feb 9, 2023 | I gave a talk on “Stochastic Contextual Bandits with Long Horizon Rewards” at AAAI 2023. |