Nicholas A. Kotov is Irving Langmuir Distinguished University Professor in Chemical Sciences at the University of Michigan. He is a pioneer of theoretical foundations and practical implementations of complex systems from ‘imperfect’ nanoparticles that offer a vast field for the application of data science and machine learning. Chiral nanostructures, biomimetic nanocomposites, and graph theoretical representations are the focal points in his current work. Nicholas is a recipient of more than 60 awards and recognitions. Together with his students, Nicholas founded several startups that commercialized self-assembled nanostructures for the energy, healthcare, and automotive industry. Nicholas is a Fellow of the America Academy of Arts and Sciences and the National Academy of Inventors. He is an advocate for scientists with disabilities.
COntact
WebsiteLocation
Ann Arbor
Methodologies
Artificial Intelligence / Bayesian Methods / Data Integration / Data Mining / Graph-Based Methods / Machine Learning / Networks
Applications