KAUST Ph.D. student Dmitry Kovalev has been named one of nine recipients of the 2020 Ilya Segalovich Scientific Prize for Young Researchers. Awarded by the Russian multinational corporation Yandex, Dmitry received the accolade for his “significant advances in computer science.”
The foundation of building a successful academic career is generally thought to be the pursuit of excellence through specialization. Of course, the cross-disciplinary quest has its important place, but it's often thought of primarily as the fruitful collaboration between specialized entities or experts in particular fields.
Juan C. Pérez is a biomedical engineering graduate from Universidad de Los Andes, Colombia, who joined KAUST in January 2021. Juan first came to KAUST as an intern and was amazed by its excellent research atmosphere, environment, and resources. These factors served as an impetus in choosing KAUST as the destination to further his academic career.
Optimizing network communication accelerates training in large-scale machine-learning models.
Chronic kidney disease (CKD) is among the most common causes of death in Saudi Arabia. According to the 2018 edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report, the prevalence of CKD among the Kingdom’s general population stands at 5.44% and accounts for a 4.04% mortality rate.
Zhenwei Tang, a telecommunications graduate from Beijing University of Posts and Telecommunications, China, joined KAUST in January 2021. Tang joined KAUST as a M.S./Ph.D. candidate and member of the Machine Intelligence & kNowledge Engineering (MINE) Lab under the supervision of Professor Xianglinag Zhang.
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.
A focus on the fundamental physics of cloud formation leads to highly realistic simulations of different types of clouds.
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.