A partner at Oblon, Stefan Uwe Koschmieder, explained key points for patenting software and AI inventions. Koschmieder works with GCC universities on IP programs and advises foreign clients on IP portfolio management. He also lectured at Freie Universität Berlin on Intellectual Property. Why it matters: As software and AI innovation grows in the GCC, understanding patent law is increasingly important for protecting intellectual property and fostering local innovation.
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KAUST Vice President for Research Dr. Donal Bradley was inaugurated as a Fellow of the U.S. National Academy of Inventors (NAI) at a ceremony in Florida. Bradley holds 16 granted U.S. patents, including a fundamental patent on conjugated polymer electroluminescence (U.S. 5,247,190) that led to the development of OLED displays. His work led to the founding of Cambridge Display Technology and collaborations with Dow Chemical and Sumitomo Chemical. Why it matters: This recognition highlights KAUST's impact on global innovation in materials science and engineering, particularly in the development of advanced display technologies.
The Autonomous Robotics Research Center (ARRC) is developing underwater communication systems, including a multimode modem prototype, and has filed three patents. One key technology is the Universal Underwater Software Defined Modem (UniSDM), which supports sound, magnetic induction, light, and radio waves. ARRC also developed a network management framework for automatic network slicing (ANS) of communication resources. Why it matters: These advancements are crucial for improving underwater exploration, industrial maintenance, and marine monitoring in the region, enabling more efficient and reliable communication for underwater robots.
KAUST alumna Jamaliah Aburabi’e's patent-pending membrane technology was highlighted in the North American Membrane Society's (NAMS) magazine. The patent (2017/0225127), developed with advisor Professor Klaus-Viktor Peinemann, describes a new method for preparing anisotropic/cross-linked membranes. The method reduces steps in membrane preparation, making it energy-efficient and allowing customization of the membrane's selective layer. Why it matters: This recognition highlights the impact of KAUST research in advanced materials and separation technologies, showcasing innovations with potential for energy efficiency and customization in industrial applications.
RDI and KAUST have launched a Technology Transfer Program to accelerate commercialization activities in Saudi universities. The Technology Transfer Internship Program aims to upskill leaders from research institutions across Saudi Arabia in technology commercialization. KAUST was selected by RDI due to its innovation ecosystem, including 1,448 patent families and 287 technology licenses. Why it matters: This partnership will help to translate Saudi research into commercial products, strengthening the country’s capacity for innovation and aligning with national goals for a knowledge-based economy.
KAUST hosted the KAUST Research Conference: Advances in Well Construction with Focus on Near-Wellbore Physics and Chemistry from November 7 to 9. The conference was co-chaired by Eric van Oort, a professor at UT Austin, and Tadeusz Patzek, director of the University’s Upstream Petroleum Engineering Research Center. Attendees included professors from the University of Queensland and UT Austin, and directors from GenesisRTS and Labyrinth Consulting Services, Inc. Why it matters: The conference facilitates international collaboration on advancements in petroleum engineering and well construction technologies, which are strategically important for Saudi Arabia.
MBZUAI researchers have developed an AI program using vision transformers that can learn a person's handwriting style and generate text in that style. The US Patent and Trademark Office recently granted a patent for this technology, which could aid individuals with writing impairments. The system overcomes limitations of previous GAN-based approaches by processing long-range dependencies in handwriting. Why it matters: This patented AI tool enhances personalized text generation and has potential applications in assistive technology and improving handwriting recognition models.