Yuzhen Qin

Radboud University, Nijmegen, Netherlands.

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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

Nov 9, 2024 I will serve as an Associate Editor for European Control Conference 2025.
Nov 8, 2024 We submitted a paper “Modeling and Detection of Critical Slowing Down in Epileptic Dynamics” to European Control Conference 2025 (Arxiv).
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).
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.

selected publications

  1. AAAI
    Stochastic contextual bandits with long horizon rewards
    Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, and Samet Oymak
    Proceedings of the AAAI Conference on Artificial Intelligence, Feb 2023
  2. PRResearch
    Phase-amplitude coupling in neuronal oscillator networks
    Yuzhen Qin, Tommaso Menara, Danielle S. Bassett, and Fabio Pasqualetti
    Physical Review Research, Jun 2021