Dr. Mohamed Ferrag, a Lead Researcher at AIDRC, received the "Algeria Scopus Award" from Algeria's Ministry of Education and Higher Research for his contributions to computer science. Dr. Ferrag is an IEEE Senior Member and has authored many scientific papers and books. He was also ranked among the World's Top 2% Scientists from Stanford University in 2020-2022. Why it matters: This award recognizes and encourages scientific research and talent within the Algerian AI and computer science community.
KAUST faculty member Marco Canini is researching networked systems, focusing on improving their design, implementation, and operation. His work centers on Software-Defined Advanced Networked and Distributed Systems (SANDS). Canini aims to address challenges related to reliability, performance, security, and energy efficiency in large-scale networked computer systems. Why it matters: This research contributes to the development of more dependable and efficient digital infrastructure in Saudi Arabia, aligning with KAUST's mission to advance science and technology.
A professor from EPFL (Lausanne) gave a talk at MBZUAI on computing in the post-Moore era, highlighting the slowing of Moore's Law due to physical limits in transistor miniaturization. He discussed research challenges and opportunities for future computing technologies. He presented examples of post-Moore technologies he helped develop in the datacenter space. Why it matters: As Moore's Law slows, research into alternative computing paradigms becomes critical for the continued advancement of AI and digital services in the UAE and globally.
KAUST Ph.D. student Lukas Larisch won the Parameterized Algorithms and Computational Experiments (PACE) 2017 Challenge in the Optimal Tree Decomposition Challenge, solving more instances than competitors. He received the award at the International Symposium on Parameterized and Exact Computation (IPEC 2017) in Vienna, Austria. Larisch is pursuing his Ph.D. at KAUST and working in the University's Extreme Computing Research Center, focusing on acoustics and graph structure theory. Why it matters: This recognition highlights KAUST's contribution to advanced computer science research and its ability to attract and foster talented researchers in niche areas like parameterized complexity.
KAUST Associate Professor Xiangliang Zhang leads the Machine Intelligence and Knowledge Engineering (MINE) group, focusing on machine learning and data mining algorithms for AI applications. The MINE group researches complex graph data to profile nodes, predict links, detect computing communities, and understand their connections. Zhang's team also works on graph alignment and recommender systems. Why it matters: This research contributes to advancing machine learning techniques at a leading GCC institution, potentially impacting various AI applications in the region.
A computer science vision involves computing devices becoming proactive assistants, enhancing various aspects of life through user digitization. Current devices provide coarse digital representations of users, but there's significant potential for improvement. Karan, a Ph.D. candidate at CMU, develops technologies for consumer devices to capture richer user representations without sacrificing practicality. Why it matters: Advancements in user digitization can lead to improved extended reality experiences, health tracking, and more productive work environments, enhancing the utility of consumer devices.
KAUST is focused on optimizing scientific research through IT, including high-performance computing and supercomputing. KAUST's CIO, Jason Roos, emphasizes that IT at KAUST prioritizes research support, drawing from his experience in mission-critical IT in healthcare. KAUST houses Shaheen II, the fastest supercomputer in the Middle East, managed with state-of-the-art facilities. Why it matters: This focus enhances KAUST's research capabilities, providing resources on par with national labs and attracting top talent in science and technology to the region.
A new paper from MBZUAI researchers explores using ChatGPT to combat the spread of fake news. The researchers, including Preslav Nakov and Liangming Pan, demonstrate that ChatGPT can be used to fact-check published information. Their paper, "Fact-Checking Complex Claims with Program-Guided Reasoning," was accepted at ACL 2023. Why it matters: This research highlights the potential of large language models to address the growing challenge of misinformation, with implications for maintaining information integrity in the digital age.