Two papers on neuro-AI published by Michmizos Lab won the 2nd Best Paper Awards in two prominent conferences, in Brain Informatics and Robotics. The first paper presents for the first time a principled theoretical analysis of the practical advantages for

Michmizos receives a global research award grant from Intel to develop a robotic nurse. This work is based on a new method developed this year in Michmizos’s Lab, to co-train deep and spiking neural networks. This is a $150K, single-PI

ComBra Lab receives two new Intel Loihi neuromorphic chips, a “Nahuku” 32-chip and a “Nahuku” 8-chip, that will serve the Lab’s research and educational activities. The 40 neuromorphic chips add to the “Kapoho-Bay” 2-chip equipment that the Lab has been

Konstantinos Michmizos wins the Rutgers Vice Chancellor for Research and Innovation Grant for the proposal entitled “Translating Biological to Artificial Intelligence.” This is the second Award received within 6 months, in collaboration with leaders in experimental neuroscience: Cheryl Dreyfus, Zhiping

Prof. Konstantinos Michmizos wins the NIH K Career Development Award on Neurorehabilitation Robotics. The NIH K Awards are given to Professors who have demonstrated abilities to become leaders in their field. The K Career Award ($250K, 2 years) will enable

Prof. Konstantinos Michmizos wins the Brain Health Institute Grant Award for the proposal entitled “Computational Astrocyence.” This Award is in collaboration with leaders in experimental neuroscience: Cheryl Dreyfus, Zhiping Pang (Rutgers Medical School), and Bonnie Firestein (SAS Cell Biology and

Konstantinos Michmizos wins an Intel Grant Award on Neuromorphic Computing for his single-PI proposal entitled “Spike-based Active SLAM for autonomous robots developing action habits.” Konstantinos’s efforts are timely placing our Department at the center of the emerging Neuromorphic Community and

Prof. Konstantinos Michmizos introduces a new graduate course Brain Inspired Computing. The course explores how computation in the human brain can be effectively modeled across the main levels of abstraction (from a single neuron to biological neural networks and system;

Prof. Konstantinos Michmizos received the Busch Biomedical Grant Award for his project, entitled “Computational Neuromodulation: Neuromarkers to personalize Deep Brain Stimulation.” The award is highly competitive, with only 5% of submitted proposals receiving an award. The grant is for an

Each year, the Computer Science Graduate Student Society (CSGSS) votes to recognize excellence in graduate-level teaching. For the 2015-2016 academic year, CSGSS has given its teaching award to Prof. James Abello, with Prof. Konstantinos Michmizos the runner-up.