Wykaz obszarów badawczych związanych z tagiem Sustainable-development:
| # | Obszar badawczy | Dziedzina naukowa |
|---|---|---|
| 1 |
Modeling of transport, logistics and production systems and processes: analytical and simulation methods, digital twins. Application of pseudo-random number generators in logistics and production processes and providing sensitivity analyses of selected parameters of logistics facilities operation in the aspect of dynamically changing conditions. Decision support modeling in transportation, logistics and production processes. Design of logistics facilities such as: warehouses, logistics centers, intermodal terminals, transshipment, etc. Application of augmented reality (AR) and artificial intelligence (AI) in logistics and manufacturing processes. Sustainability of transport systems, including prevention of transport poverty, ecology, karakuri. Issues of Industry 4.0 and Logistics 4.0. Research and analysis of railroad track condition. Research is mainly concerned the following branches and fields of transport: rail, road and internal transport. Simulation methods.
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| 2 |
My research focuses on energy market regulation at the national, EU, and international levels. With the development of decentralized energy systems, characterized by multidimensional relationships between producers, distributors, and consumers, the traditional regulatory model increasingly fails to meet contemporary needs. I analyze these trends from the perspective of implementing innovative technologies, including renewable energy sources (RES), nuclear energy, hydrogen, ammonia, e-fuels, recycled carbon fuels, and energy storage, as well as the role of transition minerals and other raw materials in the energy transition. My work examines the significance of energy solidarity, just transition, energy security, sustainable development, and ESG (Environmental, Social, and Governance) principles in shaping energy market regulatory frameworks. I am particularly interested in exploring experimental regulatory tools in the context of the energy transition, which address emerging challenges and support innovation. Recently, my research has also expanded to analyze the implications of increased automation and AI-driven regulatory developments in the energy sector. This includes assessing the impact of artificial intelligence and advanced digital tools on the adaptability, efficiency, and fairness of energy regulation models in an evolving energy landscape.
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