Professor Michmizos presented his team's work in the neuromorphic research field in an online event that was held on June 9th.

A snapshot of the event

On Tuesday, June 9, 2020 the Biomedical Simulations and Imaging (BioSim) Laboratory co-organized along with the IEEE Greece Section, the IEEE NTUA Student Branch and the IEEE EMB NTUA Chapter an online event entitled "Toward Less Artificial Intelligence: Neuromorphic Robotic Systems". The speaker, Professor Konstantinos Michmizos, presented the contribution of his team in advancing the neuromorphic research field into the mainstream of engineering. Specifically, he discussed their work on computationally capturing biological principles of intelligence that overturn their assumptions of how the brain computes and learns, as well as their efforts to translate them in computational primitives, deploy them to neuromorphic hardware, and evaluate them in solving real-world robotic problems. Τhe overarching goal of the presentation was to suggest that this novel synergy of computational neuroscience, neuromorphic computing and robotics is a direction worth pursuing. The event was successfully held and attended by more than 100 participants.

Konstantinos Michmizos is an assistant professor of Neuromorphic Computing in the department of Computer Science at Rutgers University, NJ, USA, where he directs the Computational Brain lab. He is an executive council faculty member at Rutgers Center for Cognitive Science and a faculty member of the Brain Health institute and the center for Computational Biomedicine Imaging and Modeling. From 2013 to 2017, he was a research affiliate at the McGovern Institute for Brain Research, MIT. Konstantinos completed his undergraduate studies in the department of Computer Engineering and Informatics at the University of Patras in 2004. He received a master’s degree in Biomedical Engineering, from McGill University in 2006. He then spent 4.5 wonderful years at the National Technical University of Athens where he earned his PhD degree in Electrical and Computer Engineering, advised by Prof. Konstantina S. Nikita. Between 2011 and 2013, he was a postdoctoral fellow at MIT, where he developed a pediatric neurorehabilitation robot under Hermano Igo Krebs and Neville Hogan. Between 2013 and 2015, he was a postdoctoral fellow at the Martinos Center’s Magnetoencephalography (MEG) Lab, Massachusetts General Hospital, Harvard Medical School. His research is supported by several corporate and federal agencies, including Intel and NIH.