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Milad Lankarany is an Assistant Professor involved in the field of Neuroscience at the University of Toronto and works at the Krembil Brain Institute. He leads a clinical computational neuroscience research program which includes the Neural Systems Brain Signal Processing Lab. His research primarily focuses on developing multi-scale brain models and machine learning algorithms to understand the mechanisms of information processing and coding in neural systems. Lankarany's work also involves advancing wearable neurotechnology and bio-sensors, with collaborations with various industry partners to create devices that can simultaneously sense and process electrophysiological signals, including ECG, EMG, and EEG. His research interests also extend to neuromorphic computing, where he is working on the development of circuits that mimic biological neuronal connections, aimed at creating efficient and low-power computational systems. Lankarany's commitment to research education is demonstrated through his supervision of various trainees, including PhD and MSc students, as well as undergraduate scholars.
Krembil Brain Institute – University Health Network (UHN) • Toronto, Canada
Conducts leading-edge research in clinical computational neuroscience, focusing on brain signal processing and wearable neurotechnology.
KITE, Toronto Rehabilitation Institute, UHN • Toronto, Canada
Collaborates on research related to rehabilitation engineering and neurotechnology.
Institute of Biomedical Engineering, University of Toronto • Toronto, Canada
Engages in educational and research activities in the field of biomedical engineering.
Department of Sociology