Jaroslaw Krzywanski specializes in modeling energy and environmental engineering systems. His work bridges the natural sciences, engineering, artificial intelligence, and quantum machine learning, integrating advanced techniques such as neural networks, fuzzy logic, genetic algorithms, and automated machine learning to model and optimize energy conversion processes. He has been involved in national and international research projects on fluidized-bed combustion, chemical looping technologies, and adsorption-based cooling and desalination systems, with an emphasis on sustainable, clean energy development. His pioneering integration of AI methods into energy process modeling has earned him recognition at numerous international scientific conferences and editorial roles in scientific journals. Prof. Krzywanski continuously advances green engineering solutions by combining experimental research, advanced computational methods, and industrial collaborations to address global energy and environmental challenges