Chemical Engineering Graduate Seminar

Abstract

In a world rapidly transitioning towards cleaner and more sustainable energy sources, the quest for innovation in fuel design has never been more critical. "Fueling the Future: AI-Powered Fuel Design" delves into the intersection of Artificial Intelligence (AI) and the energy sector, showcasing how AI is revolutionizing the way we conceive, develop, and optimize fuels. This talk explores how machine learning can be used for fuel design by analyzing vast datasets of chemical properties, combustion behaviors, and environmental impacts to identify optimal fuel compositions. Through predictive modeling, machine learning algorithms can pinpoint the most efficient combinations of chemical components, allowing for the creation of cleaner-burning and more energy-efficient fuels. The talk will take a deep dive into fuel molecular structure and how it influences the properties of fuels like gasoline. The talk will discuss how refineries can make use of AI for better design of gasoline whilst avoiding undesirable scenarios, such as off-specification products and quality giveaways, as these scenarios overburden refineries’ operational expenditures. 

Bio

Dr. Abdul Gani Abdul Jameel is an Assistant Professor in the department of Chemical Engineering at King Fahd University of Petroleum and Minerals (KFUPM). He is also an affiliate of the Center for Refining and Advanced Chemicals, and SDAIA-KFUPM Joint Research Center for Artificial Intelligence at KFUPM. He did his PhD and post-doc stint at the Clean Combustion research center (CCRC) at King Abdullah University of Science and Technology (KAUST). His research interests are in the domain of petroleum fuels for transportation and energy generation. He is primarily interested in using machine learning (ML) techniques for predicting fuel properties and designing fuels of the future using ML techniques. He is also interested in the application of computational fluid dynamics (CFD) in various research domains. He has published over forty papers in leading peer-reviewed journals in various research areas.