The Iossifidis Laboratory focuses on research and teaching in the areas of artificial intelligence, the development of biologically inspired autonomous robotic systems, the development of Brain-Computer Interfaces (BCI ), and its application in medical technology. The understanding of the mechanisms of information processing in the human brain forms the basis for developing a theory of machine learning algorithms and the transfer to artificial systems.
Further scientific foci are the design of so-called “Simulated Realities” (VR/AR) for the simulation and evaluation of interactions between humans, machines, and the environment, the development of generative models of human movements, as well as the development of cortical, exoprosthetic components.
- Virtual reality based Machine Learning Arm-Hand Function Evaluation and Support (VAFES)
- Lead market IKT.NRW (EFRE) – funding volume € 2.092.917,- / € 898.747,-(HRW)
- Smart rehabilitation of the upper extremities through an intelligent soft exoskeleton (REXO)
- Leitmarkt Gesundheit.NRW (EFRE) – funding volume: € 2.084.843.- / € 998.607.
- BmBF: “VR-basierte Therapieumgebung für Patient*innen mit chronischen Schmerzen“ – funding volume: € 923.191.-
- EU: HORIZON-CL4-2021-DIGITAL-EMERGING “NEUROCOBOTS: Developing brain-machine interface for dynamic human-robot collaboration” (under review)
- EU: HORIZON-EIC-2021-PATHFINDEROPEN “NEUROCOBOTS: Developing brain-machine interface for dynamic human-robot collaboration” (under review)
- BmbF – NSF USA Collaboration Grant: “Towards wearable BCI systems that leverage contextual neuromechanics and edge-computing”(under review).
- DFG: Motor-parietal cortical neuroprosthesis with somatosensory feedback for restoring hand and arm functions in tetraplegic patients (completed Mai, 2021)