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.
MBZUAI is hosting a talk by Professor Eric Xing on the challenges of moving from performance-oriented AI to production and industrial AI. The talk will cover theoretical foundations for panoramic learning, compositional strategies for building Pan-ML programs, optimization methods for tuning systems, and systems frameworks for scaling ML production. Professor Xing was previously a professor at Carnegie Mellon University and the founder of Petuum Inc. Why it matters: Bridging the gap between academic AI and real-world industrial applications is critical for unlocking the economic potential of AI in the UAE and beyond.
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.
Nobuyuki Umetani from the University of Tokyo presented a talk on using AI to accelerate simulations and optimization for 3D shape designs. The talk covered interactive approaches integrating physical simulation into geometric modeling. Specific applications discussed included musical instruments, garment design, aerodynamic design, and floor plan design. Why it matters: This highlights growing interest in AI techniques at MBZUAI and across the GCC for streamlining engineering design and simulation processes.
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 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.
MBZUAI researchers are developing LAIKA, an autonomous quadruped robot for hazardous industrial environments, integrating vision-language AI models with 360-degree imaging. LAIKA can operate in operator-assist mode via natural language or autonomously to inspect, detect anomalies like leaks, and generate structured reports. The robot is designed for versatile tasks in industrial inspection, emergency response, and facility monitoring, with future versions integrating multi-robot collaboration. Why it matters: This technology demonstrates AI's potential to enhance industrial safety, reduce risks to human workers, and improve response times in critical situations within the region's vital energy and manufacturing sectors.
A talk at the Directed Energy Research Center (DERC) at TII will discuss rapid prototyping using laser-cutting facilities available at MakerSpace in Al Zeina. The talk will cover constructing prototypes from wood and acrylic and compare this approach to traditional 3D printing. The speakers will also describe the impact of the ‘4th Industrial Revolution’ on manufacturing in the UAE, and how makerspaces can contribute to Operation 300bn. Why it matters: This highlights the UAE's focus on advanced manufacturing and the role of makerspaces in fostering innovation and developing local capabilities.