KAUST held an Engineering Forum event on January 23. The event recognized members of the Technical Committee for their support in completing KAUST standards. No further details about the content of the forum are provided. Why it matters: Such events likely contribute to the development of engineering expertise and standards within Saudi Arabia.
Brandeis University in Massachusetts is launching a new Engineering program, with student enrollment slated for Fall 2026 while engineering courses are already available to non-majors. The program aims to develop engineers with a liberal arts background, translate basic science research into practical technologies, and foster cross-disciplinary innovation. Engineering faculty will be embedded within existing science departments and will teach in a new ABET-certified undergraduate Engineering Science major. Why it matters: This interdisciplinary approach to engineering education could serve as a model for integrating technical skills with broader societal considerations, though the article does not mention any collaboration or impact in the Middle East.
KAUST researchers are exploring novel chemical reactors and separation processes using mathematical design, with a focus on time and shape variables to enhance transport, heat transfer, and mass transfer. By aligning design, modeling, and 3D printing, they create customized shapes with great complexity and less material. This approach allows for the creation of bespoke reactors and separation processes tailored to specific applications, improving efficiency and reducing energy consumption. Why it matters: This research demonstrates the potential of advanced manufacturing techniques to revolutionize industrial design in the Middle East's chemical and pharmaceutical sectors.
Michael Yu Wang, Chair Professor and Founding Dean of the School of Engineering at Great Bay University, argues for combining "good old fashioned engineering" (GOFE) with learning-based approaches like LLMs for robot skill acquisition, particularly in manipulation. He suggests a modular framework that integrates engineering principles with learning, drawing inspiration from human hand-eye coordination and tactile perception. Wang emphasizes the need to address engineering features of robot tactile sensors, such as spatial and temporal resolutions, to achieve human-like robot manipulation skills. Why it matters: This perspective highlights the importance of hybrid approaches combining traditional engineering with modern AI for advancing robotics, especially in complex manipulation tasks relevant to industries in the GCC region.
Technology Innovation Institute's (TII) Directed Energy Research Center (DERC) is integrating machine learning (ML) techniques into signal processing to accelerate research. One project used convolutional neural networks to predict COVID-19 pneumonia from chest x-rays with 97.5% accuracy. DERC researchers also demonstrated that ML-based signal and image processing can retrieve up to 68% of text information from electromagnetic emanations. Why it matters: This adoption of ML for signal processing at TII highlights the potential for advanced AI techniques to enhance research and security applications in the UAE.