KAUST Professor Marc Genton has received the Royal Statistical Society’s (RSS) 2023 Barnett Award for his contributions to environmental statistics. Genton's work includes the development of ExaGeoStat, a high-performance software for geostatistics, and the use of spectral methods to emulate climate model outputs. His research includes a five-year study on wind energy potential in Saudi Arabia, informing the Kingdom’s national wind energy strategy. Why it matters: This award recognizes impactful environmental statistics research at KAUST with implications for Saudi Arabia's renewable energy sector and beyond.
KAUST Professor Tadeusz Patzek has received the EAGE Desiderius Erasmus Award for his contributions to energy supply research. The award recognizes Patzek's analysis of shale gas and biofuels, as well as his work on climate change and environmental damage. Patzek currently directs the Ali I. Al-Naimi Petroleum Engineering Research Center at KAUST, focusing on the impact of fossil fuels and agrofuels on social and ecological systems. Why it matters: The recognition highlights KAUST's contribution to research on sustainable energy strategies and their impact on global environmental policy.
KAUST Ph.D. student Manal Al-Qahtani won a best poster presentation award. The award was presented in the late summer of 2016. The announcement was made on the KAUST website. Why it matters: Showcases the achievements and talent within KAUST's Ph.D. program.
KAUST Ph.D. student Chiheb Ben Hammouda won the best poster award at the Society for Industrial and Applied Mathematics Conference on Financial Mathematics & Engineering (FM19) for his work on option pricing under the rough Bergomi model. The winning poster, titled "Hierarchical adaptive sparse grids and quasi-Monte Carlo for option pricing under the rough Bergomi model," details research carried out under the supervision of KAUST Professor Raul Tempone. The research group designed new efficient numerical methods for pricing derivatives under the rough Bergomi model by combining smoothing techniques. Why it matters: This award highlights KAUST's growing expertise in financial mathematics and its contribution to solving complex problems in the field using advanced numerical methods.
KAUST Professor Pierre Magistretti received the 2016 Fondation IPSEN Neuronal Plasticity prize for his work in neuroenergetics. The award recognizes Magistretti's contributions to understanding the relationship between neuronal activity and brain energy consumption. He shares the award with Dr. David Attwell and Dr. Marcus Raichle, and will be honored at FENS in Copenhagen. Why it matters: This award highlights KAUST's contribution to international neuroscience research and strengthens its reputation in biological and environmental science.
KAUST Professor Hussain was awarded the Outstanding Young Texas Ex Award (OYTEX) by the University of Texas (UT). Hussain studied at UT from 2003-2005 and later founded KAUST's Integrated Nanotechnology Laboratory in 2009. His work includes 15 patents, 18 research awards, and recognition from Intel and Samsung. Why it matters: The award recognizes the impact of KAUST faculty and their contributions to nanotechnology research, highlighting KAUST's growing prominence in the field.
KAUST Associate Professor Aamir Farooq has been named a co-recipient of the 2019 Hiroshi Tsuji Early Career Researcher Award, co-sponsored by Elsevier and The Combustion Institute. Farooq, who leads the KAUST Chemical Kinetics and Laser Sensors Laboratory, is recognized for his work on fuel ignition chemistry. His research aims to improve fuel efficiency and reduce greenhouse gas emissions in transportation and power generation. Why it matters: This award highlights KAUST's commitment to fostering talented faculty and advancing research in clean combustion, a critical area for Saudi Arabia's energy future.
KAUST Ph.D. alumna Sabrina Vettori and Ph.D. student Yuxiao Li received a Distinguished Student Paper Award at the 2018 Eastern North American Region (ENAR) Spring Meeting of the International Biometric Society. Li's paper focused on efficient estimation for non-stationary spatial covariance functions, while Vettori's paper addressed Bayesian hierarchical modelling of air pollution extremes. Both students were recognized for their contributions to statistical environmental studies and air pollution modeling. Why it matters: This award highlights KAUST's commitment to fostering high-quality research and recognizes the achievements of its students in addressing critical environmental challenges.