Industry Professor
Dr. Stanislav Sobolevsky is an Industry Professor at the Center for Urban Science and Progress at New York University. He leads the Urban Complexity Lab, studying complex urban systems, urban mobility and social interactions through the prism of big data. Dr. Sobolevsky teaches Principles of Urban Informatics and Applied Data Science, introducing masters students to data science, machine learning and network analysis. His applied projects were supported by the US Department of Energy, Department of Transportation, National Geospatial Intelligence Agency, as well as private sector funders, such as Lockheed Martin and Future Cities Catapult.
Previous experience includes leading a research team at MIT, faculty and administrative positions at Belarusian State University, software engineering, and big data/machine learning/IT consulting. Holds PhD (1999) and Doctor of Science habilitation degree (2009) in Mathematics. Authored over a 100 of research papers in top-tier journals and conferences, including Nature’s Scientific Reports, PNAS, Physical Review E, PLOS ONE, International Journal of GIS, Applied Geography, Environment and Planning B, Studies in Applied Mathematics etc, a monograph, several textbooks, two patents. His works attracted over 5000 citations worldwide. Recipient of the Masaryk University Award in Science and Humanities ’2021 (Czech Republic), Best Paper Award at ASE International Conference on Data Science 2015, winner of the LinkedIn Economic Graph Challenge in 2015, multiple research awards and fellowships in Belarus, as a high school student – winner of the two Silver medals on the International Mathematical Olympiads.