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 Ph.D. student Abdulkhaleq Almansaf won 3M's 2017 Invent a New Future Challenge, representing Saudi Arabia among 14 global finalists. Almansaf presented an idea to use metal nanoclusters in solar energy, drawing on KAUST's example of resource utilization and diversity. As part of his win, Almansaf will receive mentorship from a 3M senior leader for six months. Why it matters: The recognition highlights KAUST's role in fostering innovation and its students' ability to contribute solutions on a global scale.
KAUST Ph.D. student Muhammad Akram Karimi won the Three Minute Thesis competition at the IEEE MTT International Microwave Symposium in Boston. Karimi's presentation, titled "Making Materials Smart Using Microwaves," detailed his research on low-cost in situ microwave sensors. His work, in collaboration with Saudi Aramco, focuses on detecting water fraction in oil using sensors printed directly on pipes. Why it matters: This award recognizes innovative research at KAUST and highlights the potential of microwave sensor technology for applications in the oil and water industries within the region.
A team of MBZUAI graduate students won first place at the UAE University's University Challenge for their SawabAI project, which addresses AI-generated misinformation about climate change. The winning team included Salem Bin Saqer AlMarri, Hanoona Bangalath, and Muhammad Maaz, all Computer Vision Ph.D. students. SawabAI is envisioned as a platform to evaluate the authenticity and source of information, including text, image, and video, to combat fake news. Why it matters: This win highlights the growing importance of AI in addressing misinformation and promoting sustainability in government communication within the region.
KAUST doctoral student Jose Filho won the 2022 InnovateFPGA Design Contest for his "Customized Medicine for Corals" project. The project uses an automatic feeder technology to deliver coral probiotics and monitor their efficacy via cloud connectivity, computer vision, and an FPGA. The system gathers data from cameras, temperature sensors, and luminosity sensors, using AI to determine the coral's bleaching stage and deploy beneficial microorganisms. Why it matters: This win highlights KAUST's innovative research in applying AI and cloud technology to address critical environmental challenges like coral bleaching, demonstrating the potential for technology to aid marine conservation efforts.