Dr T. Manos has a PhD on Applied Mathematics and Physics which was co-directed by the Department of Physics, Université d’Aix-Marseille I (France) and Department of Mathematics, University of Patras (Greece).
He has a bachelor’s degree in mathematics and a master’s degree in applied mathematics from the Department of Mathematics, University of Patras (Greece). After obtaining his PhD, he has worked as post-doctoral researcher at the Max Planck Institute for the Physics of Complex Systems, Dresden (Germany), University of Florence (Italy), University of Nova Gorica (Slovenia), University of Maribor (Slovenia) and as a senior researcher at the Institute of Neuroscience and Medicine (INM-7) at the Research Centre Jülich (Germany).
In September 2019, he started working as Assistant Professor at the Department of Mathematics, CY Cergy Paris Université (France) and since September 1st, 2022, he is holding an Associate Professor (HDR) position at the Department of Mathematics, CY Cergy Paris Université (France). He is currently a member of the ETIS lab of CNRS and his research is on Nonlinear Dynamical Systems and Chaos Theory and Mathematical/Computational Neuroscience (synchronization phenomena, neuromodulation for the treatment of brain abnormal activity, e.g., Parkinson’s disease, Epilepsy, tinnitus, and whole brain dynamics informed by neuroimaging data).
Personal website: https://sites.google.com/site/thanosmanos/
- Mathematical & computational neuroscience
- Complex (Nonlinear) dynamical systems
- Whole brain dynamics informed by neuroimaging data
- Synchronization in neural networks
- Synaptic and structural placticity in neural networks
T. Manos’ ongoing research activity is in complex (nolinear) dynamical systems and in mathematical & computational neuroscience. He has worked on neurostimulation and protocols’ optimazition for the treatment of brain abnormal activity such as Parkinson’s disease or tinnitus (collaboration with Prof. Peter Tass) as well as the role of the different types of plasticity (e.g., synaptic and structural) in the long-term efficiency of such therapies. He has investigated the implementation and simulation of whole brain dynamical models with realistic large-scale connectivity using EEG/fMRI-based neuroimaging data, and investigation of neuronal dynamics in large subject populations (collaboration with Prof. Simon Eickhoff).
In 2021, he acquired a PhD scholarship to study the “Neural network structure, onset and propagation of epileptic seizures” (Labex MME-DII – PhD cotutelle scholarship together with Prof. Mathias Quoy and Prof. Yulia Timofeeva (Department of Computer Science, University of Warwick, UK).
Recently, he has launched a new collaboration together with Prof. Alex Leow, Dr. Chris Antonopoulos and Dr. Sandra Diaz-Pier, on “Reconciling Network Inference and Dynamics with Neuroimaging Data in Alzheimer’s Disease” currently also supported by a Labex MME-DII grant.