Leszek KotulskiView profile
Professor
Leszek Kotulski is a Professor at the Department of Applied Informatics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His office is located in building C-2, 4th floor, room 425, with contact number +48 12 617 51 93 and email kotulski@agh.edu.pl. He serves on the Disciplinary Council for Technical Information Technology and Telecommunications. Professor Kotulski's research focuses on graph-based computational methods applied to smart city infrastructure, particularly in energy-efficient street lighting systems and IoT networks. His work integrates graph transformations, multi-agent systems, and spatial data processing to optimize urban infrastructure. He has developed innovative approaches for digital twin generation, lighting system modernization, and energy conservation in urban environments. His research bridges computer science with practical urban engineering challenges, creating solutions that improve both efficiency and sustainability of city infrastructure. Analysis of his recent publications reveals a clear research trajectory focused on applying graph theory to urban infrastructure challenges, with a particular emphasis on lighting systems. His work demonstrates increasing sophistication in integrating IoT networks with graph-based computational models, evolving from basic lighting control systems to comprehensive smart city solutions involving digital twins and distributed network configurations. The interdisciplinary nature of his research connects computer science, electrical engineering, and urban planning, with consistent contributions to both theoretical frameworks and practical implementations. Professor Kotulski has made significant contributions to the field through his development of graph-based methods for optimizing public lighting systems, energy conservation in smart cities, and spatial data processing techniques. His work on reactive power compensation algorithms for street lighting and graph-based approaches to lighting retrofit projects demonstrates practical applications of his theoretical research. His research activities include leadership in the GRADIS (Graph-based Distributed Adaptive Design) project and contributions to the Alvis modeling language for embedded systems. He has developed multi-agent systems supporting automated photometric computations and large-scale lighting design, creating frameworks that enable more efficient urban infrastructure planning and management.







