Dr. Karthik Mukundakrishnan is the Director of Research and Development development at Stone Ridge Technology and is one of the founding developers of ECHELON, a GPU-based high performance commercial reservoir simulator. Karthik received his PhD in Computational Sciences and has more than 15 years of commercial HPC software development experience in the fields of reservoir simulation and Computational Fluid Dynamics. Prior to joining Stone Ridge Technology, he was a Technology Manager at Dassault Systemes, SIMULIA leading the CFD team. Currently, he is interested in scientific machine learning, large language model applications for engineering, and developing a simulator-centric integrated ML framework for reservoir engineering.

Dominique Guérillot is an applied mathematician and researcher who has held various positions in the energy industry as a scientist or research manager. On the R&D management side: Director of the upstream R&D program at Saudi Aramco (06-09), Head of Reservoir Research at Qatar Petroleum (13-15), Director of the R&D Business Unit and Director of Geology and Geochemistry Research at IFPEN (95-09) (www.ifpenergiesnouvelles.fr/); On the scientific side, after his doctorate in applied mathematics from the University of Aix Marseille (univ-amu.fr/en), he completed his training in petroleum engineering at the IFP school (ifp-school.com) and worked with geologists and geophysicians during more than 15 years which allows him to address a wide range of research topics in geosciences from the scale of the well to the scale of the basin. His main technical fields of expertise are mathematical algorithms and using artificial intelligence techniques to improve methodologies and software in geosciences, mainly in reservoir and basin simulations, including improved oil recovery, unconventional storage and CO2 and hydrogen storage. Research engineer with IFP (82-91), guest scientist at the ELF Geoscience Research Centre in London, United Kingdom. (91-93), R&D project manager at IFP in Pau (93-95), senior tank consultant for Petrobras (10-13), professor at Texas A&M (16-20). In 2009, he created a Young Innovative Company (YIC), Terra 3E (Terra3E.com) very active in R&D with contracts sponsored by the French Research Agency (ANR.fr) and The French Agency for Ecological Transition (ademe.fr). He has published more than 50 complete and arbitrated documents and patents. https://scholar.google.com/citations?%20user=DsDUS2wAAAAJ&hl=fr&oi=ao&user=DsDUS2wAAAAJ His current research focuses on extending his approach using artificial intelligence techniques within reservoir simulators to other industrial fields (project ARIA: more information on request :dg@terra3e.com)

ABDULRAHMAN AL-FAKIH was born on April 4, 1989, in Sana'a, Yemen. A Ph.D. candidate specializing in machine learning applications in geophysics, petroleum, and geothermal fields, boasts a rich academic background and practical experience in the oil and gas industry. With a Master's in Energy Resources, he has published extensively on geothermal energy and AI's role in various aspects of energy exploration. His ongoing projects focus on advanced reservoir characterization using AI and deep learning for data analytics. Beyond academia, Abdulrahman actively contributes to professional organizations like SPE, SEG, and AAPG and engages in diverse hobbies such as programming, photography, and cooking. His profile is a fusion of academic excellence, industry insight, and a passion for innovative applications of technology in energy exploration. Reach him at g202103050@kfupm.edu.sa.

Currently based at Qatar University Mr. Ahmed Elrahmani is a researcher in Civil and Environmental Engineering specializing in the behavior of fine particles within subsurface porous media. With a primary focus on understanding and predicting clogging mechanisms due to fine particle transport, by leveraging machine learning and advanced modeling to explore permeability alteration in these systems.