Anton Rozhkov

About Anton Rozhkov

Dr. Rozhkov’s research interests focus on how energy policies and new technologies can affect infrastructure planning and the design of cities. He conducts research using a complex systems approach, together with geospatial analysis, machine learning, and AI, at the intersection of the concepts of urban planning and data science.

Selected Publications

Rozhkov, A. (2024). Applying graph theory to find key leverage points in the transition toward urban renewable energy systems. Applied Energy, 361: 122854. https://doi.org/10.1016/j.apenergy.2024.122854, Rozhkov, A. (2023). Harnessing European policies for energy planning in Illinois: Overcoming barriers and transitioning to a climate-neutral society. Sustainable Cities and Society, 98, 104803. https://doi.org/10.1016/j.scs.2023.104803, Rozhkov, A., Movahedi, A., & Derrible, S. (2023). A machine learning framework to assess the impact of the COVID-19 pandemic on electricity consumption patterns. Cities, 143, 104639. https://doi.org/10.1016/j.cities.2023.104639, Rozhkov, A., Zandiatashbar, A., Massey, D., Shin, J., Smith, J., & Zellner, M. (2023). Effectiveness variation of different census outreach activities: An empirical analysis from the state of Illinois using machine learning and user interface technologies for participatory data collection. Applied Geography, 154, 102928. https://doi.org/10.1016/j.apgeog.2023.102928

Recent Courses Taught

Urban Decision Models | NYU CUSP-GX 8053, Geographic Information System | NYU CUSP-GX 5053, Machine Learning for Cities | NYU CUSP-GX 7033, Urban Spatial Analytics | NYU CUSP-GX 8033