Sergey Kozlov, a research scientist at KAUST's Catalysis Center (KCC), is leaving to take up a tenure-track position as an assistant professor at the National University of Singapore (NUS). During his time at KAUST, Kozlov focused on simulating the chemical properties of catalysts using computational chemistry methods and the Shaheen II supercomputer. His research focused on applications in energy and CO2 utilization technologies. Why it matters: Kozlov's move highlights KAUST's role in developing research talent and contributing to advancements in computational chemistry and catalysis within the region.
KAUST Associate Professor Jürgen Kosel has been named a distinguished lecturer of the Institute of Electrical and Electronics Engineers (IEEE) Sensors Council for 2020-2022. Kosel's research focuses on sensors and transducers with applications in animal monitoring, precision farming, Formula One racing, and biomedical instruments. His group is also developing magnetic devices for high-density data storage and cancer treatment. Why it matters: This recognition highlights KAUST's contributions to sensor technology and its potential impact on diverse fields, including healthcare in developing regions.
This article is a brief faculty profile of Stefaan De Wolf at KAUST. It appears to be part of a standard template on the KAUST website. Why it matters: Such profiles help showcase the expertise and research areas of faculty at KAUST.
KAUST researchers presented their work on stabilizing nanoparticle catalysts at the 252nd American Chemical Society Meeting & Exposition. The team devised a "molecular Scotch tape" using a silica gel support coated with a single molecule layer of soft material containing sulfur. This approach allows nanoparticles to stick to one side while leaving the other side free for catalysis, preventing aggregation without killing the catalyst. Why it matters: This innovation in catalyst stabilization could lead to more efficient and sustainable chemical processes, impacting various industries.
Alexander Gasnikov from the Moscow Institute of Physics and Technology presented a talk on open problems in convex optimization. The talk covered stochastic averaging vs stochastic average approximation, saddle-point problems and accelerated methods, homogeneous federated learning, and decentralized optimization. Gasnikov's research focuses on optimization algorithms and he has published in NeurIPS, ICML, EJOR, OMS, and JOTA. Why it matters: While the talk itself isn't directly related to GCC AI, understanding convex optimization is crucial for advancing machine learning algorithms used in the region.
Ekaterina Radionova from Smarter AI (formerly Samsung AI Center) presented an approach to generating lifelike real-time avatars. The work focuses on generating high-quality video with authentic facial features to support online generation. Radionova's master's degree is from Skoltech on Data Science program and Bachelor degree at Moscow Institute of Physics and Technology on Applied Math. Why it matters: Achieving realistic real-time avatars is critical for applications in online communication, entertainment, and virtual reality within the region.
Altynay Kaidarova, a Ph.D. student in electrical engineering at KAUST, researches magnetic microsystems for biology and medicine under Professor Jürgen Kosel. Her group's work focuses on areas like cancer cell destruction, drug delivery, and smart nanoprobes. Kaidarova chose KAUST for its research activity, global thought leaders, and diversity. Why it matters: Highlighting student research helps promote KAUST's capabilities in advanced biomedical applications of micro and nanotechnology.
KAUST Ph.D. student Sofya Mudrova won the best poster award at the 4th International Congress on Invertebrate Morphology (ICIM4) in Moscow. The poster was in the biology domain. The award recognizes research presented at the conference. Why it matters: Showcases KAUST's strength in attracting and developing talent in interdisciplinary research areas.