Middle Tennessee State University (USA)
Saudi Aramco Fellow (Saudi Arabia)
Abdul Khaliq received a Ph.D. in Mathematics and M.Sc. In Numerical Analysis from Brunel University, UK and M.Sc. in Mathematics from Quaid-i-Azam University, Pakistan. Dr. Khaliq's area of expertise is Numerical Analysis and Scientific Computing, with specialization in the “Development of Stable and Efficient Numerical Methods for Large Scale Systems of Partial Differential Equations (PDEs)”. His primary research interest lies at the interface of applied mathematics and computational science. Dr. Khaliq's current research interest is the numerical solutions of Fractional Partial Differential Equations (FPDEs). Solving PDEs with deep learning, Data driven modeling of complex PDE systems, and scientific machine learning. Analyses of uncertainty and error that arise in the modeling and simulation of complex systems.
During his 36 years of professional career at institutions of higher educations, Dr Khaliq has compiled a wide-ranging record of research and scholarly activities. He has organized international conferences and has presented research papers at international conferences as a keynote speaker, had a large number of published research articles in highly reputed refereed journals, and his research is frequently cited by the scientific community. He has supervised several PhD dissertations and MS theses. Currently, he serves on the editorial boards of four international journals and is editor-in-chief of the International Journal of Computer Mathematics. Dr Khaliq is currently serving as a Professor at the Middle Tennessee State University (MTSU), USA. He was awarded the MTSU Distinguished Research Awards in 2007 and 2016, Western Illinois Outstanding Faculty Excellence Research University Award in 2002.
Ali Dogru is the Saudi Aramco Fellow and a
member of US National Academy of Engineering (NAE).
Dogru received his PhD in Petroleum Engineering/Applied
Mathematics from the University of Texas at Austin in 1974. He
spent his early career in academia until he joined Mobil R&D in
1982. In 1988, he transferred, initially on a loan basis until
he transferred to Saudi Aramco.
He is presently leads Strategic Modeling Technology under the Petroleum Engineering & Development. Dr. Dogru has published extensively and holds numerous U.S. Patents. He has received SPE’s John Franklin Carll, Reservoir Description and Dynamics, Honorary & Distinguished Membership and World Oil’s Innovative thinker awards. His current research is focused on developing next-generation parallel reservoir and basin simulators, to improve reservoir models and optimize hydrocarbon recovery in mature fields, helping Exploration finding new oil and gas fields. In 2018, he was named Earth Resources Laboratory Fellow at MIT.
University of West Georgia (USA)
EXPEC ARC, GPT Saudi ARAMCO
|Amin Boumenir graduated from Oxford university, in 1986. His PhD dissertation was on inverse problems and the factorization under the direction of J.B. Mcleod and Postdoc with W.N. Everitt. His area of research is spectral, inverse spectral theory of operators and computational spectral theory.||Hongwei Liu got his PhD in geophysics in 2010 from Chinese Academy of Sciences and joined Saudi Aramco as a research Geophysicist since 2013. His research interest includes HPC based on GPU/CPU collaborative computing, Seismic Imaging and inversion, Time-Lapse seismic for reservoir monitoring and seismic attenuation simulation.|
Xiamen University (China)
KFUPM (Saudi Arabia)
|Huangxin Chen received his Ph.D. from AMSS, Chinese Academy of Sciences in 2011. Then he joined in the School of Mathematical Sciences of Xiamen University in 2011. Now he is an Associate Professor in Xiamen University. Recently he works as a Research Scientist at KAUST due to the sabbatical leave from Xiamen University. He also worked as a postdoc at KAUST during the period from May 2015 to February 2016. His research interests include adaptive finite element methods, multigrid methods, discontinuous Galerkin method, and flow and transport in porous media. His recent work focuses on the simulation of flow and transport problems in fractured porous media and the related topics in the field of petroleum reservoir simulation.||Ibrahim Sarumi is a PhD student and
Lecturer-B in the Department of Mathematics and Statistics at
King Fahd University of Petroleum and Minerals (KFUPM). His
research interests include computational methods for fractional
differential models and machine learning. In particular he is
currently working on fractional (Non-Local and History
dependent) models for flow in fractured media.
He received the first rank award in scientific research track at the KFUPM 10th student forum, 2019.
Imam Abdulrahman bin Faisal University-IAU (Saudi Arabia)
KFUPM (Saudi Arabia)
|Mariem Zouch graduated as industrial engineer from Ecole Polytechnique de Tunisie, Tunisia. She holds a Master degree in statistics from the University of Montpellier, France and a Ph.D. in Automation and Computer Science from Ecole Polytechnique de Nantes, France. She worked as a research scientist at TNO, The Netherlands. She also worked as assistant professor at the University of Imam Abdulrahman Bin Faisal, Dammam, KSA where she was appointed as team leader of the machine learning research team. Her research interests are mainly reinforcement learning, decision making under uncertainty and open-world classification problems.||
Moataz Ahmed is faculty member in department of Information and Computer Science of King Fahd University of Petroleum and Minerals (KFUPM). He received his PhD from George Mason University, USA.
Dr. Ahmed served as an Adjunct/Guest Professor in a number of academic institutes such as George Mason University (USA), University of Salento (Italy), and Arab Academy for Science and Technology (Egypt). He taught several artificial intelligence and software engineering undergraduate and graduate courses at these institutes as well as at KFUPM.
Dr. Ahmed’s research interest is centered on the interdisciplinary applications of Artificial Intelligence. The objective of his research effort has always been to develop machine learning capabilities using deep learning, approximate reasoning, and metaheuristic algorithms to solve practical problems in different domains. He addresses problems in the domains of oil industry, military battlefields, seawater desalination and power production, chronic diseases, bioinformatics, software engineering, social media sentiment analysis, etc. Dr. Ahmed was able to graduate a number of MSc and PhD students in these areas. His research effort resulted in more than 100 articles in refereed international journals and conferences. Dr. Ahmed has also been serving as an associate/guest editor for a number of journals.
Dr. Ahmed also has a vast industrial experience; the most recent includes serving as a CTO for a couple of R&D firms in the US.
KAUST (Saudi Arabia)
University of West Georgia (USA)
|Shuyu Sun is currently a Full Professor and the Director of the Computational Transport Phenomena Laboratory (CTPL) at King Abdullah University of Science and Technology (KAUST). He is a founding faculty member jointly appointed by the program of Earth Sciences and Engineering (ErSE) and the program of Applied Mathematics and Computational Science (AMCS) at KAUST since 2009. He also holds a number of adjunct faculty positions across the world, including Adjunct Professorship in Xi’an Jiao Tong University, Adjunct Professorship in China University of Petroleum at Beijing, Adjunct Professorship in China University of Petroleum at Qingdao, and Adjunct Professorship in China University of Geosciences at Wuhan. Before joining KAUST, Dr. Sun served as an (tenure-tracked) Assistant Professor of Mathematical Sciences at Clemson University in the United States. He obtained his Ph.D. degree in computational and applied mathematics from The University of Texas at Austin. Prof. Sun's research includes the modeling and simulation of porous media flow at Darcy scales, pore scales and molecular scales. Dr. Sun has published 300+ articles, including 200+ refereed journal papers.||Vu Kim Tuan, PhD, has been a tenured professor at the University of West Georgia, GA, USA, since 2003, and is also the Marion Crider Distinguished Chair of Mathematics. Prior to that Dr. Tuan was a professor at the Kuwait University.Born in Vietnam, Tuan attended and graduated in 1984 with the highest honor from Belarus State University with an undergraduate degree in Mathematical Sciences with a concentration in Mathematical Analysis. Afterwards, he was accepted into the graduate program in mathematics at the same university, where his 13 research papers published during the undergraduate years earned him his Doctor of Philosophy in 1985, and 2 years later he defended his Doctor of Sciences dissertation written based on his 33 publications. While Tuan’s PhD thesis concentrated on the special functions of hypergeometric type, Tuan’s Dr.Sci. dissertation made a breakthrough discovery in the theory of integral transforms, showing that all known integral transforms can be decomposed as products of few simple Laplace, Fourier, Mellin transforms, and the operator of multiplication. In 1993 Dr. Tuan received the prestigious Alexander von Humboldt post-doctoral fellowship and spent 2 years at the Free University of Berlin investigating ill-posed problems.|
University of California (USA)
|YangQuan Chen earned his Ph.D. from Nanyang Technological University, Singapore, in 1998. He had been a faculty of Electrical Engineering at Utah State University from 2000-12. He joined the School of Engineering, University of California, Merced in summer 2012 teaching “Mechatronics”, “Engineering Service Learning” and “Unmanned Aerial Systems” for undergraduates; “Fractional Order Mechanics”, “Nonlinear Controls” and “Advanced Controls: Robustness and Optimality” for graduates. His research interests include mechatronics for sustainability, cognitive process control, small multi-UAV based cooperative multi-spectral “personal remote sensing”, applied fractional calculus in controls, modeling and complex signal processing; distributed measurement and control of distributed parameter systems with mobile actuator and sensor networks.|