Foto von Elvin Hajizada

B.Sc. Elvin Hajizada

Main workplace: Intel Labs

Technische Universität München

Lehrstuhl für Kognitive Systeme (Prof. Cheng)

Short biography:

Towards the end of my bachelor studies in Electrical and Electronics Engineering, my interest in brain & AI brought me to an internship at a start-up developing photonic computing for AI in Paris. Here I was introduced to neuromorphic computing, further increasing my interest in brain-like computing & AI and paving my way into Neuroengineering Master program at TUM. Throughout my master’s studies, I conducted my research on neuromorphic models of cerebellum and visual cortex for robotics applications at TUM and Intel, respectively. Integrating neuroscientific knowledge into AI research for practical applications has been main pillar of these projects are considered and I believe training/running SNN (Spiking Neural Networks – the 3rd generation of neural networks) fast and efficiently in neuromorphic hardware will pave the way for new breakthroughs in AI.   

Since June 2021, I am a doctoral student at Intel and Institute for Cognitive Systems (ICS). At Intel my research involves developing new brain-inspired algorithms and applications for neuromorphic chip Loihi which will be deployed as “brain” in robotic systems that can learn and act in real life settings. my email at Intel is:


  • Neuromorphic vision for robotic applications
  • Spiking Neural Networks & event-based computing
  • Neuromorphic computing
  • Computational neuroscience
  • Robotics & embodied cognition
  • Visual perception & event-based cameras
  • Sensorimotor (more specifically visuomotor) learning

Recent fellowships and rewards:

  • 2019-2020: Deutscher Akademischer Austauschdienst (DAAD) fellowship for Master’s in Neuroengineering
  • 2019-2020: SMARTSTART fellowship by the Bernstein Network for Computational Neuroscience
  • 2014-2018: Study Abroad Scholarship by the Azerbaijan Ministry of Education



  • Simon Armleder, Dr. Emmanuel Dean-Leon, Florian Bergner, Prof. Gordon Cheng: Interactive Force Control Based on Multimodal Robot Skin for Physical Human−Robot Collaboration. Advanced Intelligent Systems, 2021 mehr… BibTeX Volltext ( DOI )