Picture of John Nassour

Dr.-Ing. John Nassour

Technical University of Munich

Chair of Cognitive Systems (Prof. Cheng)

Short biography:

I received an engineering degree in electronics and the Postgraduate Diploma degree in computer engineering and automation from Tishreen University, Lattakia, Syria, in 2003 and 2005, respectively, a Master of Science degree in intelligent and communicating systems from the University of Cergy-Pontoise, France, and the École Nationale Supérieure de l'Électronique et de ses Applications, France, in 2008, and the joint Ph.D. degree from the University of Versailles, France, and the Technical University of Munich, Germany, in 2014. From March 2014 to April 2020, I worked as a lecturer and researcher at the Chemnitz University of Technology, Germany.


I am interested in the interdisciplinary field of computational cognitive systems with a direct application on physical systems such as robots and wearable robotic devices. I am particularly interested in cognitive systems, inspired by the natural perception-cognition-action loop and their application in control robotic extensions of the human body. Besides, I have experience in robot learning for locomotion and manipulation, humanoid robots, design and control of soft robots, and soft wearable robots.

Since Mai 2020, I have a position as a postdoctoral researcher at the Institute of Cognitive Systems at TUM.


J. Nassour, H. G. Amirabadi, S. Weheabby, A. A. Ali, H. Lang and F. Hamker, "A Robust Data-Driven Soft Sensory Glove for Human Hand Motions Identification and Replication," in IEEE Sensors Journal, vol. 20, no. 21, pp. 12972-12979, 1 Nov.1, 2020, doi: 10.1109/JSEN.2020.3001982.


  • Nicholas Tacca, John Nassour, Stefan K. Ehrlich, Nicolas Berberich, Gordon Cheng: Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials. Journal of NeuroEngineering and Rehabilitation, 2022 mehr… BibTeX Volltext ( DOI )


  • John Nassour, Guoping Zhao, Martin Grimmer: Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads. Scientific Reports 11 (11), 2021, 1-14 mehr… BibTeX Volltext ( DOI )
  • John Nassour, Nicholas Tacca, Guan Erjiage, Gordon Cheng: Development of a wearable modular IMU sensor network suit with a distributed vibrotactile feedback for on-line movement guidance. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2021, 371-376 mehr… BibTeX Volltext ( DOI )
  • Matthijs Pals, Rafael Javier Pérez Belizón, Nicolas Berberich, Stefan K. Ehrlich, John Nassour, Gordon Cheng: Demonstrating the viability of mapping deep learning-based EEG decoders to spiking networks on low-powered neuromorphic hardware. 43rd International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2021, 2021 mehr… BibTeX Volltext ( DOI )
  • Svea Marie Meyer, Ashish Rao Mangalore, Stefan K. Ehrlich, Nicolas Berberich, John Nassour, Gordon Cheng.: A Comparative Study on ErrPs for Different Usage Conditions of an Exoskeleton with a Mobile EEG Device. 43rd International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2021, 2021 mehr… BibTeX Volltext ( DOI )
  • Xingying Chen, Simone Vera Löhlein, John Nassour, Stefan K. Ehrlich, Nicolas Berberich, Gordon Cheng: Visually-guided Grip Selection for Soft-Hand Exoskeleton. 43rd International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2021, 2021 mehr… BibTeX Volltext ( DOI )


  • J. Nassour, F. H. Hamker and G. Cheng: High-Performance Perpendicularly-Enfolded-Textile Actuators for Soft Wearable Robots: Design and Realization. IEEE Transactions on Medical Robotics and Bionics, 2020 mehr… BibTeX Volltext ( DOI )


  • John Nassour, Patrick Hénaff, Fathi Ben Ouezdou and Gordon Cheng: Multi-Layered Multi-Pattern CPG for Adaptive Locomotion of Humanoid Robots. Journal of Biological Cybernetics, 2014 mehr… BibTeX


  • John Nassour, Vincent Hugel, Fethi Benouezdou and Gordon Cheng: Qualitative Adaptive Reward Learning with Success Failure Maps: Applied to Humanoid Robot Walking. IEEE Transactions on Neural Networks and Learning Systems Volume: 24, Issue: 1, 2013, 81-93 mehr… BibTeX


  • John Nassour, Fathi Ben Ouezdou and Gordon Cheng: Exploiting Past Success Failure for Effective and Robust Task Learning. Proceedings of the 5th International Conference on Cognitive Systems (CogSys2012), 2012, poster No.81 mehr… BibTeX Volltext (mediaTUM)
  • John Nassour, Gordon Cheng: Cognitive Development Through a Neurologically-Based Learning Framework. International Conference on Humanoid Robots, 2012Workshop on Developmental Robotics mehr… BibTeX Volltext (mediaTUM)


  • John Nassour and Gordon Cheng: Experience-based Learning Mechanism with a Concept of Vigilance. BC11: Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting, October 4-6, 2011, 2011 mehr… BibTeX Volltext (mediaTUM)
  • John Nassour, Patrick Heaff, Fathi Ben Ouezdou and Gordon Cheng: Bipedal Locomotion Control with Rhythmic Neural Circuits. International workshop on Bio-Inspired Robots (BionicRobotsWorkshop 2011), 2011 mehr… BibTeX Volltext (mediaTUM)


  • John Nassour, Patrick Henaff, Fathi Ben Ouezdou and Gordon Cheng: Adaptive Locomotive Behaviors of a Biped Robot: Patterns Generation and Classification. SIMULATION OF ADAPTIVE BEHAVIOR (SAB'10), 2010 mehr… BibTeX Volltext (mediaTUM)