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
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
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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
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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
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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
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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