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Jeff Shamma elected IFAC fellow

KAUST ·

KAUST Professor Jeff Shamma has been elected as a fellow of the International Federation of Automatic Control (IFAC). IFAC is a multinational federation dedicated to the advancement of control engineering. Shamma is a professor of electrical and computer engineering at KAUST. Why it matters: This recognition highlights KAUST's contributions to the field of control engineering and the university's growing international reputation.

KAUST hosts International Graduate School on Control event

KAUST ·

KAUST recently hosted the European Embedded Control Institute's International Graduate School on Control (IGSC). As part of the event, KAUST Professor Jeff Shamma gave a one-week course on "Game Theory and Distributed Control". The course had over 30 registered attendees, including participants from KAUST, KACST, King Saud University, and nine European universities. Why it matters: Hosting international events like IGSC enhances KAUST's global reputation, fosters collaboration opportunities, and exposes visiting researchers to KAUST's research environment.

TII-EuroRacing Returns to Las Vegas for Indy Autonomous Challenge @ CES 2023 in January

TII ·

TII-EuroRacing Team, comprised of researchers from TII's ARRC and UNIMORE, is participating in the Indy Autonomous Challenge (IAC) at CES 2023 in Las Vegas. The team will compete with its DO12 racecar, a Dallara AV-21 retrofitted with automation hardware and advanced prototype software. The IAC aims to accelerate the commercialization of fully autonomous vehicles and advanced driver assistance systems. Why it matters: This participation allows TII to test and improve its autonomous vehicle technology in a dynamic environment, contributing to the advancement of autonomous systems in the region.

ARRC Team’s Research Paper Features in IEEE Transactions on Industrial Informatics Journal

TII ·

A research paper by Fatima Al Nuaimi, Dr. Pietro Tedeschi, and Dr. Enrico Natalizio from the Autonomous Robotics Research Center (ARRC) has been published in IEEE Transactions on Industrial Informatics. The paper, titled “Privacy-Aware Remote Identification for Unmanned Aerial Vehicles: Current Solutions, Potential Threats, and Future Directions”, examines vulnerabilities in UAV Remote ID systems. It identifies challenges for industry and academia in enhancing UAV security and privacy. Why it matters: The research highlights critical security and privacy considerations for the rapidly growing UAV sector in the region and globally.

KAUST postdoctoral fellow Elisabetta Fiacco wins topical best poster prize

KAUST ·

KAUST postdoctoral fellow Elisabetta Fiacco won the Best Poster Prize at the Spetses Summer School 2018 on Chromatin and Metabolism for her research on the role of carbohydrate-responsive element binding protein (ChRBP) during the onset of type 2 diabetes. Fiacco's research at KAUST, under Assistant Professor Antonio Adamo, uses human induced pluripotent stem cells to understand the epigenetic and transcriptional mechanisms dysregulated in type 2 diabetes. She also gave a 15-minute oral presentation on her work at the event, which gathered over 80 participants from top global universities. Why it matters: This recognition highlights KAUST's contribution to cutting-edge research in regenerative medicine and the study of metabolic disorders prevalent in the region.

A new strategy for complex optimization problems in machine learning presented at ICLR

MBZUAI ·

MBZUAI researchers presented a new strategy for handling complex optimization problems in machine learning at ICLR 2024. The study, a collaboration with ISAM, combines zeroth-order methods with hard-thresholding to address specific settings in machine learning. This approach aims to improve convergence, ensuring algorithms reach quality solutions efficiently. Why it matters: Improving optimization techniques is crucial for advancing machine learning models used in various applications, potentially accelerating development and enhancing performance.

Learn to control

MBZUAI ·

Patrick van der Smagt, Director of AI Research at Volkswagen Group, discussed the use of generative machine learning models for predicting and controlling complex stochastic systems in robotics. The talk highlighted examples in robotics and beyond and addressed the challenges of achieving quality and trust in AI systems. He also mentioned his involvement in a European industry initiative on trust in AI and his membership in the AI Council of the State of Bavaria. Why it matters: Understanding control in robotics, along with trust in AI, are key issues for further development of autonomous systems, especially in industrial applications within the GCC region.

Faculty Focus: Taous-Meriem Laleg-Kirati

KAUST ·

KAUST Associate Professor Taous-Meriem Laleg-Kirati leads the Estimation, Modeling and ANalysis (EMAN) research group, focusing on control theory, system modeling, and signal applications. Her group develops mathematical models and algorithms to control processes relying on real-time feedback, especially for systems where experimental data is limited. The EMAN group recently developed a real-time control algorithm for a solar membrane distillation system, increasing water production by over 50% in simulations. Why it matters: Laleg-Kirati's work advances both engineering and healthcare by combining model-based research with AI, offering opportunities for personalized medicine and efficient resource management in the region.