General AI research publications from MBZUAI, KAUST, TII, QCRI, and other GCC institutions, including conference papers, journal articles, and preprints.
Prof. Karl Leo has been appointed as the Director of KAUST's Solar and Photovoltaics Engineering Research Center (SPERC). He joins KAUST from Technische Universität in Dresden, bringing expertise in organic semiconductors and photovoltaics. His research aims to improve the efficiency and lifetime of organic solar cells, with a goal of reaching 20% efficiency. Why it matters: This appointment strengthens KAUST's solar energy research program and aligns with Saudi Arabia's focus on renewable energy technologies.
In 2013, KAUST faculty members Jean Frechet and Yves Gnanou received international awards recognizing their scientific contributions. Nina Fedoroff was also awarded the 2013 Nevada Medal for achievements in science and engineering. KAUST research was featured in high-impact journals across diverse fields, and a KAUST Seed Fund winner launched an iPad housing device for underwater use that was featured by Apple. Why it matters: These achievements highlight KAUST's growing reputation as a hub for scientific research and innovation in the region and globally.
KAUST Seed Fund announced the four winning teams from its 2013 Fall Round, including Falcon Viz (3D aerial scanning), Nano Assembly (quantum dot production), ROFix (desalination plant performance), and u. The Seed Fund has funded 21 projects in its first six rounds, creating three companies and 15 jobs. Barig Siraj noted KAUST's leadership in commercializing ideas in Saudi Arabia. Why it matters: The KAUST Seed Fund plays a vital role in fostering entrepreneurship and technological innovation within Saudi Arabia, addressing critical needs in areas like desalination and infrastructure.
Fred Farina, Chief Innovation Officer at Caltech, spoke at KAUST about commercializing academic research. He emphasized licensing research to corporations and creating startups, highlighting the importance of academic-industry partnerships for transitioning to a knowledge economy in the region. Farina noted that successful technology transfer requires a long-term commitment and a robust ecosystem of venture capital and companies. Why it matters: This highlights the increasing focus on diversifying GCC economies beyond oil through strategic investments in research and technology transfer, with universities playing a central role.
KAUST researchers have developed an enhanced hot-electron nanoscopy technique. The new method improves the resolution and sensitivity of mapping materials at the nanoscale. Why it matters: This advancement can accelerate materials science research and development in areas relevant to the GCC, such as sustainable energy and advanced manufacturing.
Professor Mohammad Younis, a new Associate Professor of Mechanical Engineering at KAUST, focuses his research on micro and nanotechnology, specifically the interface between nonlinear dynamics and micro/nano electromechanical systems (MEMS and NEMS). He is developing a generic platform for sensing and actuation with potential uses in detecting poisonous gases, biohazards, and earthquake signals. He is also working on actuator systems that can assist elderly people after a fall by automatically calling for help. Why it matters: This research has significant implications for safety, environmental monitoring, and elderly care in the Middle East and beyond.
KAUST and SABIC are collaborating on research in flexible electronics. The collaboration involves researchers from KAUST and SABIC's New Materials Solutions Group working together in KAUST labs. The research aims to develop innovations in new materials. Why it matters: This partnership highlights the increasing focus on materials science and advanced manufacturing within Saudi Arabia's research and development landscape.
KAUST faculty profile highlights Dr. Omar Abdelsaboor, Assistant Professor of Chemical Science, who specializes in ultrafast laser spectroscopy and 4D electron imaging. His research focuses on visualizing chemical reactions and developing highly-efficient solar cells using advanced techniques. Dr. Abdelsaboor aims to contribute to solar energy research in Saudi Arabia and is collaborating with other KAUST faculty. Why it matters: This underscores KAUST's investment in cutting-edge research and its commitment to advancing renewable energy technologies in the region.
SABIC reaffirmed its commitment to supporting research at KAUST during a meeting between SABIC's Vice Chairman and CEO, Mohamed Al-Mady, and KAUST's President, Dr. Jean-Lou Chameau. Discussions covered SABIC’s technology and innovation strategy, KAUST's research initiatives, and talent development programs sponsored by SABIC at KAUST. Since 2011, SABIC has recruited around 40 KAUST-trained scientists and researchers. Why it matters: This continued collaboration strengthens the ties between industry and academia in Saudi Arabia, fostering innovation and developing local talent in areas relevant to the Kingdom's industrial goals.
KAUST President Jean-Lou Chameau spoke at the 5th Annual Saudi International Technology Incubation Conference in Riyadh. He emphasized that universities are catalysts for innovation through a commitment to excellence in education and research. KAUST was created to be a model for advanced education, scientific research, and economic development. Why it matters: The discussion highlights the crucial role of universities like KAUST in fostering innovation and economic growth in transitional economies like those in the GCC.
KAUST professors Samir Hamdan and Nina Fedoroff collaborated on research published in Nucleic Acids Research focusing on microRNA (miRNA) biogenesis in plants. The study examined miRNA production in Arabidopsis thaliana and found that the protein SERRATE (SE) is integral to the processing of pri-miRNA by DCL1. They characterized the interactions of SE with RNA and DCL1, elucidating the mechanism by which SE promotes DCL1 activity. Why it matters: Understanding miRNA biogenesis could help modify crop plants to better tolerate stressful conditions, potentially increasing crop yields and productivity in the region.
A proposed recognition system aims to identify missing persons, deceased individuals, and lost objects during the Hajj and Umrah pilgrimages in Saudi Arabia. The system intends to leverage facial recognition and object identification to manage the large crowds expected in the coming decade, estimated to reach 20 million pilgrims. It will be integrated into the CrowdSensing system for crowd estimation, management, and safety.
This paper introduces a new non-statistical Arabic lemmatizer algorithm designed for information retrieval systems. The lemmatizer leverages Arabic language knowledge resources to generate accurate lemma forms and relevant features. The algorithm achieves a maximum accuracy of 94.8% and 89.15% on first seen documents, outperforming the Stanford Arabic model's 76.7% on the same dataset. Why it matters: Accurate Arabic lemmatization is crucial for improving the performance of Arabic information retrieval systems, which can enhance access to Arabic language content.
Researchers created a cross-cultural corpus of annotated verbal and nonverbal behaviors in receptionist interactions. The corpus includes native speakers of American English and Arabic role-playing scenarios at university reception desks in Doha, Qatar, and Pittsburgh, USA. The manually annotated nonverbal behaviors include gaze direction, hand gestures, torso positions, and facial expressions. Why it matters: This resource can be valuable for the human-robot interaction community, especially for building culturally aware AI systems.
The paper introduces a web-based expert system called RCSES for civil service regulations in Saudi Arabia. The system covers 17 regulations and utilizes XML for knowledge representation and ASP.net for rule-based inference. RCSES was validated by domain experts and technical users, and compared favorably to other web-based expert systems.
Khalifa University has announced the accreditation of new PhD programs across various disciplines within its College of Computing and Mathematical Sciences and College of Engineering and Physical Sciences. These programs include Computer & Information Engineering, Computer Science, Robotics, Mathematics, Materials Science & Engineering, Mechanical Engineering, Nuclear Engineering, Petroleum Engineering, and Physics. The university aims to provide an environment where researchers can transform ideas into innovative technological solutions with real-world impact. Why it matters: The expansion of advanced graduate programs at a leading UAE institution strengthens the region's research capabilities and talent pipeline in critical scientific and engineering fields.
Khalifa University has announced the accreditation of several new PhD programs within its colleges. These include programs in Computer & Information Engineering, Computer Science, Robotics, and Mathematics, offered by the College of Computing and Mathematical Sciences. The College of Engineering and Physical Sciences also launched new PhDs in Materials Science & Engineering, Mechanical Engineering, Nuclear Engineering, Petroleum Engineering, and Physics. Why it matters: This expansion of advanced academic offerings strengthens the UAE's research capabilities and talent pipeline in critical scientific and engineering fields, including AI-relevant areas like computer science and robotics.
Khalifa University has announced the accreditation of new PhD programs, including Computer & Information Engineering, Computer Science, Robotics, and Mathematics. These advanced programs are designed to provide researchers with an ideal environment to transform ideas into innovative technological solutions with real-world impact. Dr. Sami Muhaidat, Acting Dean of the College of Computing and Mathematical Sciences, highlighted these new offerings. Why it matters: Expanding doctoral programs in key technological fields like AI and Robotics signals a commitment to developing local research talent and contributing to the UAE's knowledge economy.
G42, in collaboration with UAE Team Emirates-XRG and MET Helmets, unveiled a special-edition AI-designed helmet, created with AI artist Gizem Akdağ, which debuted at Stage 5 of the Tour de France. This event marks the upcoming launch of the second edition of Helmetverse on July 13, a global design platform inviting cycling fans to create their own AI-generated helmet designs. The winning design from the Helmetverse competition, which generated nearly 20,000 designs in its first edition, will be manufactured by MET Helmets and worn by UAE Team Emirates-XRG at the UAE Tour in February 2027. Why it matters: This initiative showcases G42's commitment to making AI accessible for creative and public engagement applications, highlighting the intersection of sports, technology, and fan interaction from a prominent UAE-based AI company.
Khalifa University's "KU Pulse" podcast released an episode featuring Dr. Jamal Alsawalhi discussing the challenges and solutions for decarbonizing the transport sector. The discussion covers critical issues such as battery costs, charging infrastructure, supply chain realities, and public perception impacting EV adoption. The episode also highlights emerging technologies being developed at Khalifa University, including rare earth-free motors and wireless charging systems for electric vehicles. Why it matters: This podcast episode showcases Khalifa University's active research and thought leadership in sustainable transport solutions, which are crucial for the UAE and the broader region's decarbonization efforts.
Khalifa University's KU Pulse podcast features Dr. Jamal Alsawalhi and Dr. Glenda El Gamal discussing obstacles to decarbonizing the transport sector. The discussion covers battery costs, charging infrastructure, supply chain challenges, and public perception. It also highlights emerging KU technologies like rare earth free motors and wireless charging. Why it matters: The podcast addresses critical issues in sustainable transportation, showcasing KU's research contributions to regional and global environmental challenges.
Khalifa University's podcast, KU Pulse, featured Dr. Jamal Alsawalhi discussing the challenges of decarbonizing the transport sector. The episode explores battery costs, infrastructure, supply chains, and public perception, highlighting emerging KU technologies like rare earth free motors and wireless charging. Another episode featured Dr. Mohamed Ramy Elmarry and Omar Aldhanhani discussing the UAE's first mainland Antarctic expedition. Why it matters: The podcast highlights KU's research contributions to sustainable technologies and polar science, crucial for addressing climate change and promoting innovation in the UAE.
MBZUAI alumnus Numan Saeed is applying machine learning to medical imaging and cancer research as a research scientist at the University. He collaborates with UAE hospitals like Sheikh Shakhbout Medical City and Cleveland Clinic to build datasets and gather clinical feedback. Saeed's team is developing a model focused on head and neck cancer using the HECKTOR dataset and local data. Why it matters: This research contributes to the UAE's healthcare ambitions by enabling earlier diagnosis and personalized care through AI-driven analysis of medical images.
MBZUAI Visiting Professor Haiyan Huang is working on bridging biology and AI by incorporating domain knowledge into modeling frameworks. She combines statistical principles, AI tools, and domain expertise to develop scientifically informed and statistically grounded methods. Her work addresses the challenge of extracting meaningful signals from complex biological data. Why it matters: This interdisciplinary approach can lead to more accurate and useful AI models for biological research and healthcare applications in the region.
MBZUAI alumnus Abdelrahman Shaker reflects on his evolving definition of impact in AI research, now valuing real-world usefulness over publication count. His work on efficient models like SwiftFormer (ICCV'23) and EdgeNext saw unexpected adoption, with millions of downloads and integration into real-world applications. Shaker chose MBZUAI for its faculty alignment, resulting in 10 publications and over 2,500 citations by graduation. Why it matters: This highlights the increasing focus on practical applications and real-world impact within the AI research community in the GCC region, as opposed to purely academic metrics.
MBZUAI graduates Dhanalaxmi Gaddam and Abbas Bamidele Abdulsalam won DP World’s Big Tech Project with a metaverse-based solution for logistics. Their winning solution uses VR/AR to enhance training and productivity at DP World's ports. They will receive master’s degrees from MBZUAI and commence a paid internship with DP World. Why it matters: The project highlights the growing role of AI and metaverse applications in optimizing logistics and trade across the GCC, which Strategy& projects could contribute $15 billion annually to GCC economies by 2030.
An MBZUAI team led by Ph.D. student Dmitry Demidov won the Best Student Paper Award at VISAPP 2023 for their work on fine-grained visual classification. Their paper, 'Salient Mask-Guided Vision Transformer for Fine-Grained Classification,' introduces SM-ViT, a technique using a salient mask to improve Vision Transformer accuracy. The model focuses on defining characteristics of objects, outperforming standard ViT architecture, even with fewer or lower-resolution images. Why it matters: This award recognizes MBZUAI's contribution to advancing computer vision, particularly in applications requiring nuanced object recognition, such as robotics and automated systems.
MBZUAI researchers presented "TransRadar," a study at WACV proposing new uses for radar in object identification. The study, led by Yahia Dalbah, explores fusing radar with other technologies to identify objects, particularly for autonomous vehicles. The "TransRadar" approach uses an adaptive-directional transformer for real-time multi-view radar semantic segmentation. Why it matters: This research addresses the limitations of radar by enhancing its object recognition capabilities, potentially improving the reliability of autonomous systems in adverse conditions.
MBZUAI researchers are presenting a new approach to open-world object detection at the AAAI conference. The method enables machines to distinguish between known and unknown objects in images, and then learn to classify the unknown objects. PhD student Sahal Shaji Mullappilly is the lead author of the study, titled "Semi-Supervised Open-World Detection". Why it matters: This research addresses a key limitation in current object detection systems, allowing for more adaptable and robust AI in real-world applications.
MBZUAI researchers demonstrated a low-latency, multilingual multimodal AI system at GITEX that integrates speech, text, and visual capabilities for more lifelike human-machine conversation. The demo, led by Dr. Hisham Cholakkal, includes a mobile app where users can point their camera at an object and ask questions, receiving spoken answers in multiple languages. They are also integrating the model into a robot dog that can respond to voice commands. Why it matters: This work addresses key challenges in deploying LLMs to real-world applications in the Middle East, such as multilingual support and real-time responsiveness.
MBZUAI hosted AI Innovation Day, uniting over 200 UAE leaders from healthcare, government, science, and research to foster collaborations in AI-driven healthcare. The event featured sessions on multimodal foundation models, human genomics, longevity science, and robotics-enabled therapeutics. UAE's Minister of Health and Prevention, H.E. Ahmed bin Ali Al Sayegh, emphasized AI's fundamental role in the future of healthcare in the UAE. Why it matters: The event highlights the UAE's commitment to becoming a global hub for digital healthcare research and innovation, positioning MBZUAI as a key driver in the region's healthcare ecosystem.
MBZUAI student-led startup okkslides, incubated within the University’s Incubation and Entrepreneurship Center (IEC), is developing an AI-native presentation tool. Founded by Lan Wei, a computer science Ph.D. candidate, and Steve Liu, a professor at MBZUAI, okkslides aims to transform messy inputs into executive-grade narratives. The platform focuses on augmenting human reasoning with AI to capture brand nuance and support iterative, human-led collaboration in presentation creation. Why it matters: This highlights the growing entrepreneurial ecosystem at MBZUAI and the potential for AI to improve professional workflows in the region.
MBZUAI launched a report titled "AI for the Global South: 12 Critical Research Questions for the Next Decade" at the India AI Impact Summit. The report identifies 12 urgent research priorities related to AI's accessibility and benefits for developing countries. It grew out of MBZUAI’s AI for the Global South (AI4GS) workshop in December 2023, co-organized with IIT Delhi Abu Dhabi and sponsored by Microsoft. Why it matters: The report addresses the underrepresentation of local data, languages, and institutions from the Global South in modern AI systems, aiming to guide AI development towards inclusive and locally grounded systems.
MBZUAI celebrated its fifth anniversary with a ceremony attended by prominent figures, marking its establishment in 2020. The university is ranked 10th globally in AI, computer vision, machine learning, NLP, robotics and computational biology according to CSRankings. MBZUAI was also recognized among the top 50 organizations advancing AI at NeurIPS 2025, with a diverse academic community. Why it matters: MBZUAI's growth reinforces the UAE's position as a global AI leader, contributing significantly to the nation's knowledge-driven economy and AI research ecosystem.
MBZUAI President Eric Xing argued at the World Economic Forum in Davos that AI's next phase requires redesigning AI for real-world understanding and uncertainty, rather than just scaling models. He highlighted MBZUAI's unique position in building foundation models from scratch, emphasizing the importance of understanding their nuances, safety, and risks. Xing expressed skepticism about claims of general intelligence in current AI systems, pointing out their fragility and limited form of intelligence. Why it matters: Xing's participation highlights the growing role of Middle Eastern AI institutions like MBZUAI in shaping the global conversation around the future of AI.
MBZUAI researchers developed LetBabyTalk, an AI-powered multilingual parenting app that analyzes baby cries to identify needs like hunger or sleepiness. The app is trained on over 1,000 baby cries and uses supervised machine learning with input from experienced parents and educators. Cradle AI, the startup behind the app, aims to bridge the gap between advanced AI research and real-world solutions, focusing on family care and education. Why it matters: This project demonstrates the potential of AI to address everyday challenges and improve the lives of families in the region and globally, while also showcasing MBZUAI's focus on AI for social good.
MBZUAI held its inaugural Human-Computer Interaction (HCI) Symposium in Abu Dhabi, focusing on the human and societal impacts of AI. The event, led by Professor Elizabeth Churchill, featured workshops and keynotes from figures like Google's Matias Duarte. Participants collaborated to address critical design aspects of human-AI interaction and co-author a book. Why it matters: The symposium highlights the increasing importance of human-centered design in AI development, ensuring AI tools are useful, desirable, and beneficial for society in the GCC region and beyond.
MBZUAI's Assistant Professor of Computational Biology, Eduardo Beltrame, is researching single-cell RNA sequencing to advance personalized medicine. He is also designing MBZUAI’s new master’s and Ph.D. programs in computational biology, set to launch in 2026, under the guidance of Professor Eran Segal. MBZUAI's research agenda includes foundational initiatives like AIDO and the Human Phenotype Project, leveraging vast datasets such as the Emirati Genome Project. Why it matters: This highlights MBZUAI's commitment to cutting-edge research and education in computational biology, positioning it as a potential rival to top global institutions in the field.
Dr. Pooja Khosla, formerly an academic, co-founded Entelligent, a climate fintech startup that uses big data and machine learning to help companies manage climate change risk. Khosla recently spoke at MBZUAI, advising academics to translate research into real-world applications, leveraging their unique access to data and analytical thinking. She emphasized the importance of simplifying complex work to make it accessible, noting AI's role in accelerating complex tasks. Why it matters: This highlights the growing trend of translating academic research into practical, impactful business solutions within the AI and climate tech sectors, potentially inspiring more researchers in the region to pursue entrepreneurial ventures.
MBZUAI has opened applications for its inaugural Ph.D. cohort in Human-Computer Interaction (HCI), set to begin in Fall 2026. The interdisciplinary program will focus on human-AI alignment, multimodal interfaces, and brain-computer interfaces, aiming to design AI systems that improve lives responsibly. Applications for the Master of Science in HCI (fall 2027 intake) will open in 2026. Why it matters: This program expands MBZUAI’s focus on human-centered AI design, aligning with the UAE’s vision for an innovation-led economy.
MBZUAI is hosting the AI for the Global South (AI4GS) workshop in collaboration with the Indian Institute of Technology Delhi Abu Dhabi. The workshop aims to address the underrepresentation of the Global South in AI development and ensure AI benefits everyone. It brings together researchers from diverse disciplines and geographies, including representatives from NGOs, technology companies like Microsoft, Google, Cohere, and G42, and startups. Why it matters: The initiative promotes inclusive AI development, ensuring that AI tools and research consider the needs and contexts of underrepresented regions.
Sir Michael Brady, professor at Oxford and MBZUAI, argues that AI in healthcare must move beyond pattern recognition to causal understanding. He states that clinicians require AI models to articulate their reasoning behind diagnoses and therapy recommendations, not just provide statistical scores. He believes AI's immediate impact will be in personalized medicine, tailoring treatments to the individual rather than relying on epidemiological averages. Why it matters: This perspective highlights the critical need for explainable AI in sensitive domains like healthcare, paving the way for more trustworthy and clinically relevant AI applications in the region.
MBZUAI researchers developed a symbolic adversarial learning framework (SALF) for fake news detection using LLM-powered agents. SALF employs a generator and a detector in a debate-like setup, judged by another LLM, to improve the agents' ability to create and identify fake news. Testing showed that the SALF generator degraded the performance of existing fake news detectors by 53.4% on Chinese and 34.2% on English datasets. Why it matters: This research offers a novel approach to combating the evolving threat of LLM-generated disinformation, a critical issue for maintaining reliable information ecosystems in the region and globally.
Professor Cesare Stefanini of MBZUAI discusses his journey from Pisa to global prominence in robotics. He credits his time at Scuola Superiore Sant’Anna and mentorship from Paolo Dario for shaping his career. Stefanini won an international robotics competition in Japan, which inspired him to pursue a Ph.D. and further research. Why it matters: This highlights MBZUAI's commitment to attracting top international talent in robotics and fostering innovation in healthcare technology.
The inaugural Abu Dhabi AI-Robotics Conference was held at MBZUAI, focusing on AI-powered robotics to transform healthcare. Experts explored applications in microsurgery, biorobotics, and personalized treatment, with keynotes from H.E. Abdulla Abdulalee AlHumaidan, Timothy Baldwin, and Sami Haddadin. Dr. Hassa Al Mazrouei highlighted the potential for personalized care and automation driven by AI. Why it matters: The conference underscores the UAE's commitment to advancing AI and robotics in healthcare, potentially positioning the region as a leader in innovative medical technologies.
Olivier Oullier, Visiting Professor at MBZUAI, is working on brain-computer interfaces, founding Inclusive Brains to develop a Neural Foundation Model using neurophysiological and behavioral signals. This model integrates data from brainwaves, eye-tracking, and other modalities to allow machines to build a representation of the world closer to human cognition. Why it matters: Such advancements can transform human-computer interaction, with particular implications for people of determination in the region.
Laura Koesten, Assistant Professor of Human-Computer Interaction at MBZUAI, studies how people interpret and interact with data, driven by the increasing need to adapt digital environments to people. Her work focuses on making data more accessible and understandable for various audiences, drawing from her Ph.D. research at the University of Southampton and postdoctoral work at King's College London. She emphasizes the importance of data literacy for citizens in understanding how data is used in decision-making systems. Why it matters: This research contributes to bridging the gap between complex AI systems and human understanding, fostering broader societal engagement with data-driven technologies in the UAE and beyond.
MBZUAI researchers have developed a new action tokenization method called LipVQ-VAE to improve in-context robot learning. LipVQ-VAE combines VQ-VAE with a Lipschitz constraint to generate smoother robotic motions, addressing limitations of traditional methods. The technique was tested on simulated and real robots, showing improved performance in imitation learning. Why it matters: This research advances robot learning by enabling more fluid and successful robot actions through improved action representation, drawing inspiration from NLP techniques.
MBZUAI researchers have developed a "divide-and-conquer" technique to improve learning from demonstration in robotics. The approach breaks down complex dynamical systems into independently solvable subsystems, modeled as linear parameter-varying systems. This method aims to simplify computations while maintaining stability and accurately capturing joint interactions for robots in complex environments. Why it matters: The research addresses a key challenge in robotics, potentially enabling more efficient and safer robot learning from human demonstrations.
MBZUAI Provost Timothy Baldwin predicts that 2025 will be a breakout year for agentic AI, with 33% of enterprise software applications including agentic AI capabilities by 2028. MBZUAI doctoral students Wafa Alghallabi and Omkar Thawaker have launched Lawa.AI, an AI agent being tested on the university's website to provide faster answers and deeper understanding. Lawa.AI evolved from a research project in multimodal efficiency and LLMs and aims to bridge the gap between people and information in higher education and government. Why it matters: This highlights the UAE's focus on translating AI research into practical applications and the growing importance of agentic AI in various sectors.