The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain

Dr. Hossein Pourrahmani is a distinguished researcher in mechanical and energy engineering, focusing on computational science, artificial intelligence, and advanced energy systems. He holds a Ph.D. in Energy from EPFL and has significantly advanced renewable energy technologies, particularly in proton exchange membrane fuel cells and electrolyzers. He authored ""The Decentralized Hydrogen Revolution Using Artificial Intelligence, Internet of Things, and Blockchain,"" highlighting AI's role in the hydrogen economy. With over 40 peer-reviewed publications and collaborations with organizations like the DOE and European Commission, he is set to publish ""Mechanical and Chemical Engineering in the Age of Artificial Intelligence,"" bridging theory and practice. Dr. Hossein Madi is a distinguished scientist at the Paul Scherrer Institut (PSI), renowned for his contributions to energy transition and the decarbonization of energy systems. Having earned his Ph.D. from École Polytechnique Fédérale de Lausanne in 2016, Dr. Madi has been at the forefront of research in various energy domains ever since. His pioneering work on integrating biogas with SOFC systems and investigating the effects of impurities on SOFC performance has garnered significant attention. Since joining PSI in 2019, Dr. Madi's focus has shifted towards Power-to-X concepts, where he conducts thorough techno-economic analyses to evaluate the feasibility of energy conversion and storage solutions, including hydrogen production, methanation, and methanol synthesis. Dr. Jan Van herle is an electrochemist specialised in fuel cells and electrolysis since over 30 years. After a Ph.D. in the field at EPFL Switzerland in 1993, he did a postdoc in Japan and returned to EPFL to lead a research group activity. Switching to Mechanical Engineering in 2000 and founding a fuel cell start-up the same year, he built up a Laboratory that covers aspects from nanometric interfaces all the way to entire system optimisation, combining detailed experimental diagnostics and validation with multi-scale multi-physics modelling. His Group produced so far 26 PhD theses, 95 master theses and over 400 publications, contributing to understanding performance durability and improving designs and characterisation of fuel cell and electrolyzer devices.