International Congress and Workshop on Industrial AI and eMaintenance 2023

Uday Kumar, PhD, is the Chair Professor of Operation and Maintenance Engineering, and Director of Luleå Railway Research Center. He has more than 30 years of experience in consulting and finding solutions to industrial problems related to maintenance of engineering assets. He has a wide range of interests in equipment maintenance, reliability and maintainability analysis, product support, life cycle costing, risk analysis, system analysis, eMaintenance, and asset management. He has been involved in many EU framework projects, published more than 300 papers in International Journals and Conference Proceedings and co-authored four books on maintenance engineering and management. He is an elected member of the Swedish Royal Academy of Engineering Sciences.Prof. Ramin Karim is a Professor of Operation and Maintenance Engineering at Luleå University and Director of the Centre of Intelligent Asset Management. He has 15 years of experience in IT industry after obtaining hisdegree in computer science. He is responsible for the eMaintenance LAB, an applied laboratory for research and innovation in Industrial AI and eMaintenance. His research interest includes data analytics and predictive technology closely connected to operation and maintenance of industrial assets.Prof. Karim has initiated and developed the concept and platform called 'AI Factory', which is a universal concept for cross-industry data and model sharing based on digital and AI technologies. He is the founder of a spin-off company from LTU, which provides advanced analytics based on cloud/edge-technologies and artificial intelligence. Professor Karim has demonstrated how excellence in research can lead to sustainable development in society and benefits for business, through his innovative thinking and commitment to his research in digitalization, Industrial AI and eMaintenance. He has received recognition for his research results, and has been an in-demand lecturer and advisor in various contexts. His research results have been recognized two years in a row on IVA's 100 list in 2020 and 2021.

• Use cases of Generative AI in Asset Management of Railways.- A neuroergonomics mirror-based platform to enhance cognitive impairments in fighter pilots.- Risk-based safety improvements in railway asset management.- Performance of Reinforcement Learning in Molecular Dynamics Simulations: A Case Study of Hydrocarbon Dynamics.- Causal Effects of Railway Track Maintenance – An Experimental Case Study of Tamping.- Self-Driving Cars in the Arctic Environment.- Towards a Railway Infrastructure Digital Twin Framework for African Railway Lifecycle Management.