David Bolin is an associate professor of mathematical statistics who joined the KAUST Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division earlier this month from the Department of Mathematical Sciences at the University of Gothenburg. Before joining KAUST, Bolin received both his Ph.D. degree in mathematical statistics and M.S.c in engineering mathematics from Lund University, Sweden, in 2012 and 2007, respectively. Upon completing his Ph.D., he spent one year at Umeå University, Sweden, working as a postdoctoral fellow before moving to the Chalmers University of Technology. In 2016, Bolin became an associate professor of mathematics at the University of Gothenburg, where a year later he received the title of Docent in mathematical statistics.

A magnetic skin that is safe and comfortable to wear could open the door to a wide range of wireless, remotely controlled applications.

Professor of Electrical Engineering, Ahmed Eltawil, recently joined the KAUST CEMSE Division from the University of California (UCI), Irvine, where he had worked for 14 years prior. At UCI, Eltawil worked in the Department of Electrical Engineering and Computer Science and was also the founder and director of the university’s Wireless Systems and Circuits Laboratory. As an expert in system integration for wireless systems, he joins KAUST with an established pedigree of university-industry collaboration, and he continues to act as an advisor in the development of wireless systems for leading international companies.

Prior to joining the KAUST CEMSE Division earlier this year, Mohamed Elhoseiny received his Ph.D. degree from Rutgers University, New Brunswick in 2016, before spending over two years working as a postdoctoral researcher at Facebook in the company’s AI research wing. Elhoseiny joins the Division as an assistant professor of computer science based in the KAUST Visual Computing Center (VCC). He will also act as the PI of the KAUST Computer Vision, Content AI (Vision-CAIR) Research Group. Outside of his duties at KAUST, he is also acting as an artificial intelligence (AI) research consultant for Baidu Research, Silicon Valley AI Lab.

Joaquín Ortega Sánchez is an instructional professor of statistics who joins the KAUST CEMSE Division after spending the last sixteen years working at the Mathematics Research Center (CIMAT) in Guanajuato, Mexico. Born in Venezuela, Ortega completed his postgraduate and graduate studies in London, where he studied mathematics at King’s College London, before obtaining his Ph.D. in Probability Theory across the city at Imperial College London. After his time in the U.K., he returned to his native Venezuela where he worked for over 20 years at the Universidad Central de Venezuela, Caracas.   Over the course of his career, Ortega’s research work has focused on stochastic processes, specifically Gaussian processes and time series with applications in oceanography and biostatistics. And more recently his work has focused on functional data analysis.

A deep learning tool could help in structure-based drug discovery.

Asrar Damdam is setting up her own biotech company in Silicon Valley while pursuing a Ph.D. at KAUST

KAUST Ph.D. student Asrar Damdam's business idea wins first place at pitching competition in Silicon Valley.

Stretchy, see-through, silver nanowire sheet combines optical transparency with excellent electrical conductivity.

Areas without earthquake monitoring systems could model the tremors by using data from local landslides.