Suhaib Fahmy joins KAUST as an associate professor of computer science and the principal investigator of the KAUST Accelerated Connected Computing Laboratory (ACCL). Fahmy’s research explores novel ways to integrate accelerated computation and communication to achieve improved efficiency, latency, and security in computing systems — improvements he deems key considerations as computing continues to pervade all aspects of our lives.
Di Wang, assistant professor of computer science, joined KAUST in January 2021 to take up his new role as principal investigator of the KAUST Privacy-Awareness, Responsibility and Trustworthy (PART) Lab. Wang’s research interests include machine learning (ML), security, theoretical computer science, and data mining.
New book "Dynamic Programming Multi-Objective Combinatorial Optimization" by Michal Mankowski and Mikhail Moshkov is published by Springer.
Some organisms evolve an internal switch that can remain hidden for generations until stress flicks it on.
Professor Paulo Esteves-Veríssimo joins KAUST from the University of Luxembourg (UNILU), where he served as FNR PEARL Chair of UNILU’s Faculty of Science, Technology and Medicine and Interdisciplinary Centre for Security, Reliability and Trust. He joins KAUST as the director of the recently established KAUST Resilient Computing and Cybersecurity Center (RC3).
Computer models efficiently and accurately simulate the magnetic responses of ferrofluids by considering only the fluid’s surface.
The annual CEMSE Student Research Excellence Awards and Student Academic Accomplishment Awards celebrate the talent and achievements of the Division's students. Awarded around the KAUST Commencement ceremony, the awards are presented in recognition of the academic accomplishments and research impact created by our leading students in the fields of Applied Mathematics and Computer Science (AMCS), Computer Science (CS), Electrical and Computer Engineering (ECE), and Statistics (STAT).
Fifteen KAUST faculty members and one postdoctoral researcher rank among the 2020 Highly Cited Researchers from around the world, according to Clarivate Web of Science Group, a global leader of academic research analytics. The list names individuals whose work accounts for the top 1% of research cited worldwide.
Congratulations to Computer Science alumna Imane Boudellioua (Ph.D. ’19, MS ’12) for receiving a prize in the 19th edition of the annual KACST Almarai National Prize for Creative Scientific Work for Students (Ph.D. Level). As a Ph.D. student in the Computational Bioscience Research Center, Dr. Boudellioua worked in machine learning and data mining algorithms, with research targeting the potential to help patients with mysterious ailments find genetic causes for their undiagnosed disease.
Researchers from the KAUST High-Performance Visualization Group (VCCVIS) have won the IEEE Scientific Visualization (SciVis) 2020 Best Paper Award at the IEEE Visualization Conference (IEEE VIS) 2020. Held virtually from October 25-30, IEEE VIS 2020 brought together a host of researchers and practitioners from academia, government, and industry to discuss advances in theory, methods and visual analytics applications.
Bernard Ghanem, KAUST associate professor of electrical and computer engineering and computer science, recently received the 2020 Abdul Hameed Shoman Award for Arab Researchers for ''Machine Learning and Big Data.''
As e-commerce continues to spike worldwide, especially with the pandemic, the number of parcels delivered each day has dramatically increased. Customer expectations for speedy fulfillment have also been rising, however, leaving companies to grapple with multiple, last-mile delivery challenges.
A KAUST-designed symbolic algorithm to solve nonlinear ordinary differential equations (ODEs) has been selected for inclusion in the current version of the computer algebra system (CAS) Maple 2020. The global symbolic and numeric computing software system—developed by the Canadian company Waterloo Maple (Maplesoft)—is widely used by scientists, engineers, and researchers to analyze, visualize, and solve mathematical problems.
KAUST Ph.D. student, Yu Li, is a talented young computer scientist with an interest in developing novel computational methods and algorithms to solve and understand the principles behind the “bio-world.”