Picture of Zied Tayeb

Zied Tayeb

Technical University of Munich

Assistant Professorship of Neuroscientific System Theory (Prof. Conradt)

Postal address

Postal:
Karlstraße 45-47
80333 München

Short Biography

As of April 2017: Doctoral Candidate and Teaching Assistant at Technical University of Munich (TUM), Department of Electrical and Computer Engineering.

July 2016- March 2017: Researcher at Neuroscientific System Theory Group, Technical University of Munich. Human Brain Project (HBP). https://www.humanbrainproject.eu/

September 2010- June 2015: Diploma (Diplom-Ingenieur) in electrical engineering. University of Tunis El-Manar (http://www.utm.rnu.tn/utm/eng/), National Engineering School of Tunis (ENIT). Diploma thesis: Design of an upper limb myoelectric prosthetic hand controlled by surface electromyography signals (sEMG).

July 2014- October 2014: Intern. Université libre de Bruxelles, Active Structures Laboratory (http://scmero.ulb.ac.be/). Hummingbird project: Design and control of an inspired micro aerial vehicle (MAV).

Honors & Awards:

Research PhD scholarship (4 years funding:~100.000 EUR) awarded by the German Academic Exchange Service DAAD (2017)

Teaching Experience:

-Mixed Signal Electronics (Master), Technical University of Munich

-Mixed Signal Electronics in Neuroengineering, Technical University of Munich

-Brain-Machine Interfaces-- Principles, Design and Application, Technical University of Munich

Selected Invited Talks/Presentations:

https://www.youtube.com/channel/UChFahuA5Xoo_JkfrBqPgXFg

Personal Websites:

Github: https://github.com/gumpy-hybridBCI

LinkedIn: https://www.linkedin.com/in/zied-tayeb-b171a295/

Interests

-Brain-Robot Interfaces

-Neuroprosthetics

-Computational Neuroscience

-Deep Reinforcement Learning

Publications

Zied Tayeb, Emeç Erçelik, and Jörg Conradt, Decoding of Motor Imagery Movements from EEG Signals using SpiNNaker Neuromorphic Hardware, 8th IEEE International Conference on Neural Engineering ( IEEE EMBS), 2017 (Accepted).

Zied Tayeb, Nicolai Waniek, Juri Fedjaev, Leonard Rychly, Christian Widderich, Christoph Richter, Jörg Conradt, "Gumpy: A Python Toolbox Suitable for Hybrid Brain-Computer Interfaces", Journal of neural engineering, 2018 (Submitted).