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.apen... 
• 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.... 
• 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.citi... 
• 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.apge...

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