Prof. Tariq A. Alkhalifah is a professor in the Physical Sciences and Engineering Division. He joined KAUST in June 2009. Before he joined KAUST, Alkhalifah was research professor and director of the Oil and Gas Research Institute at King Abdulaziz City for Science & Technology (KACST). Previously, he held the positions of associate research professor, assistant research professor, and research assistant at KACST. From 1996 to 1998, Alkhalifah served as a postdoctoral researcher for the Stanford Exploration Project at Stanford University, United States. He received the J. Clarence Karcher Award from the Society of Exploration Geophysicists (SEG) in 1998 and the Conrad Schlumberger Award from the European Association for Geoscientists & Engineers (EAGE) in 2003, and served as an honorary lecturer for the SEG in 2011. He also received the Virgil Kauffman Gold medal from the SEG in 2023. Alkhalifah received his doctoral degree in geophysics and his master’s degree in geophysical engineering, both from the Colorado School of Mines, United States. He holds a bachelor’s degree in geophysics from King Fahd University of Petroleum and Minerals, Saudi Arabia. Alkhalifah’s research interests include seismic imaging and waveform inversion in complex media, and recently his interest included the utilization of machine learning for such objectives.

Wisit Promrak is the Head of the Seismic Technology Solutions at PTTEP, where he leads geophysical research and provides guidance on seismic imaging and related geophysical topics. He holds a Bachelor’s degree in Geophysics from the University of Texas at Austin and a Master’s degree in Applied Computational Sciences from Imperial College London. In addition, Wisit is also responsible for seismic monitoring solutions for carbon capture and storage (CCS) projects within PTTEP.

Dr. Andrew Long, PhD, was until recently the Chief Geoscientist at PGS / TGS, with multi-decade interests in most areas of seismic technology and the quantitative interpretation of data relevant to the O&G life cycle, offshore wind farm development, and CCS project monitoring. For the past decade he has been actively involved in AI / deep learning applications to the management of both fixed and floating physical energy assets, and to the automation of seismic imaging and subsurface characterization workflows. Most recently, his interests are on disruptive AI-driven solutions that may align seismic monitoring workflows with net-zero obligations. He is a member of ASEG (Honorary), PESA (Fellow), EAGE and SEG.

Prof. Christine Erbe is the Director of the Centre for Marine Science and Technology (CMST) at Curtin University in Perth, Australia, and the Director of the Centre of Ocean and Earth Science and Technology (COEST) at Curtin Mauritius. With a background in Physics (M.Sc., Dortmund University) and Geophysics (Ph.D., University of British Columbia), she is studying marine soundscapes, passive acoustic monitoring of megafauna, underwater noise generation and propagation, and the effects of noise on animals. Her centre works closely with offshore industries (energy, blue economy) on acoustic environmental monitoring. They use a diversity of ML/AI tools to detect biotic and abiotic signals in ocean soundscapes. She is a Fellow of the Acoustical Society of America, Board member of the International Commission for Acoustics, and member of the underwater noise and light pollution advisory group on subsea mining at the International Seabed Authority. She chaired the international conference series on the Effects of Noise on Aquatic Life for several years. She has worked on International Standardization Organization (ISO) working groups on underwater noise and on the scientific committee to assess underwater noise impacts on Antarctic fauna for the German Environmental Protection Agency.

Andres Bracho is a Senior Reservoir Engineer at Rock Flow Dynamics, working with clients across Australia, New Zealand, Papua New Guinea, and Timor Leste on advanced reservoir modelling and simulation. He specializes in integrated workflows that connect static and dynamic models, with a focus on applying uncertainty quantification, optimization, and machine learning to real world subsurface challenges. Andres has worked on projects ranging from conventional and unconventional oil and gas fields to large scale carbon capture and storage developments. At RFD, he is actively involved in helping operators adopt next generation digital tools and making complex simulation technology accessible and practical. He frequently collaborates with operators and technical teams to tailor solutions that improve efficiency, reduce risk, and unlock new insights from subsurface

Jacob Low is a Subsurface Geophysicist at Woodside Energy with previous roles in exploration, seismic processing, reservoir characterisation, and development. He holds a BSc (Hons) in Geophysics from the University of Adelaide and an MSc in Petroleum Geoscience from the Australian School of Petroleum. In a previous digital subsurface technology role at Woodside, he was involved in the development and testing of machine learning tools for subsurface applications, including automated fault interpretation, thin section litho-classification, and well log data conditioning. His current interests lie in advancing the integration of AI/ML into geoscience workflows, with a focus on enhancing seismic interpretation and reservoir characterisation practices to drive efficiency and improve subsurface insights.

Genna Petho is a Reservoir Engineer at CO2CRC, specialising in CO₂ storage with a strong background in reservoir simulation and dynamic modelling. She brings experience from both the CCS and oil and gas sectors, having worked with major Australian operators on offshore field operations, well planning, and execution. At CO2CRC, Genna is engaged in ongoing CO₂ storage research conducted at the Otway International Test Centre. She also provides technical expertise and guidance on numerous emerging CCS projects across Australia and internationally, focusing on storage site evaluation, reservoir simulation studies, risk assessment, and the design of monitoring and verification programs. Genna holds a Bachelor of Engineering in Petroleum Engineering (Honours) and a Bachelor of Science in Geology and Geophysics from the University of Adelaide.

Artem Goncharuk is a seasoned technology leader with extensive experience in the field of artificial intelligence. He currently serves as the Director of Engineering at X, the Moonshot Factory, formerly Google X. Prior to this role, Artem was the Engineering Lead for the X early pipeline and held engineering leadership positions at Google Assistant. Prior to Google, Artem founded API.AI, a conversational AI company that was later acquired by Google, and served as a foundation for Google Cloud Conversational AI platform.

Minjun Park is an AI Research Scientist at X, the Moonshot Factory (formerly Google X), where he works for AI in the Geoscience domain. He recently graduated with his PhD in Geophysics from the Stanford Doerr School of Sustainability, where his research focused on developing reliable machine learning monitoring systems using fiber-optic DAS cables and geophones. His work in this area earned an Honorable Mention at the IMAGE 2023 conference.