Vassilis Gaganis holds an assistant Professor’s position at the National Technical University of Athens (NTUA), School of Mining and Metallurgical Engineering. He holds a BSc in Mechanical Engineering from the University of Patras, Greece, an MSc and a PhD in Petroleum Engineering from the Technical University of Crete. He has been working for many years in the petroleum engineering industry providing consulting work on issues related to fluids, thermodynamics, and machine learning applications for big companies such as Schlumberger, Oilphase, Petroleum Experts, and ADNOC. His research interests include applications of pattern recognition and machine learning in subsurface fluid flow modeling with applications such as natural gas production and storage, geothermal energy applications, and CCS. He is also involved in the development of computational methods to accelerate related calculations. He is the author of more than 70 journal and international conference papers in upstream and downstream petroleum engineering as well as 4 book chapters. He holds one international patent and has been teaching petroleum engineering courses at various Universities. He has served as a reviewer for 10 journals.