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Technical University of Munich

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

2021

  • Zied Tayeb, Rohit Bose, Andrei Dragomir, Luke E. Osborn, Nitish V. Thakor, Gordon Cheng: EEG Decoding of Pain Perception for a Real-Time Reflex System in Prostheses. In: Brain-Computer Interface Research. Springer Professional, 2021, 47 - 58 more… BibTeX

2020

  • Bernhard Specht; Zied Tayeb; Emannual Dean; Rahil Soroushmojdehi; Gordon Cheng: Real-Time Robot Reach-To-Grasp Movements Control Via EOG and EMG Signals Decoding. 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 more… BibTeX Full text ( DOI )
  • Luke E Osborn, Keqin Ding, Mark A Hays, Rohit Bose, Mark M Iskarous, Andrei Dragomir, Zied Tayeb, György M Lévay, Christopher L Hunt, Gordon Cheng, Robert S Armiger, Anastasios Bezerianos, Matthew S Fifer and Nitish V Thakor: Sensory stimulation enhances phantom limb perception and movement decoding. Journal of Neural Engineering Vol 17 No 5, 2020 more… BibTeX Full text ( DOI )
  • Zied Tayeb, Rohit Bose, Andrei Dragomir, Luke E. Osborn, Nitish V. Thakor and Gordon Cheng: Decoding of Pain Perception using EEG Signals for a Real-Time Reflex System in Prostheses: A Case Study. Nature Scientific Reports 10,No1 , 2020, 5606 more… BibTeX Full text ( DOI )

2019

  • Tayeb, Zied and Fedjaev, Juri and Ghaboosi, Nejla and Richter, Christoph and Everding, Lukas and Qu, Xingwei and Wu, Yingyu and Cheng, Gordon and Conradt, Jörg: Validating deep neural networks for online decoding of motor imagery movements from EEG signals. Sensors and Actuators A: Physical, 19 (1), 2019, 210 more… BibTeX
  • Zied Tayeb, Philipp Jakovleski, Zhong Chen, Jannick Lippert, Pablo Lanillos, Dongheui Lee, Gordon Cheng: Enabling the sense of touch in EMG-controlled hand prostheses using vibro-tactile stimulation. 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019 more… BibTeX Full text ( DOI )

2018

  • Behrenbeck, Jan and Tayeb, Zied and Bhiri, Cyrine and Richter, Christoph and Rhodes, Oliver and Kasabov, Nikola and Espinosa-Ramos, Josafath I and Furber, Steve and Cheng, Gordon and Conradt, Jörg: Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware. Journal of neural engineering, 2018 more… BibTeX
  • Zied Tayeb, Nicolai Waniek, Juri Fedjaev, Nejla Ghaboosi, Leonard Rychly, Christian Widderich, Christoph Richter, Joans Braun, Matteo Saveriano, Gordon Cheng und Jörg Conradt: Gumpy: a python toolbox suitable for hybrid brain-computer interfaces. Journal of Neural Engineering, 2018 more… BibTeX
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