General AI research publications from MBZUAI, KAUST, TII, QCRI, and other GCC institutions, including conference papers, journal articles, and preprints.
MBZUAI Professor Fakhri Karray delivered a talk on advances in operational AI, highlighting its potential to grow global GDP by 15% by 2025. He discussed AI's impact on IoT, self-driving machines, virtual assistants, and other fields. Karray outlined milestones in AI, achievements in operational AI, future directions, and challenges for safe and beneficial AI. Why it matters: The presentation underscores MBZUAI's role in shaping the discourse around AI's transformative potential and ethical considerations in the region.
Dr. Mohammad Yaqub from MBZUAI will present AI solutions used to combat the COVID-19 pandemic, addressing healthcare consequences, social, economic, and policy-making decisions. The talk will cover the applications of AI and also discuss challenges like privacy, data needs, generalizability, data noise, and human acceptance. Yaqub's background includes a DPhil from the University of Oxford in Biomedical Engineering and research at the Institute of Biomedical Engineering, focusing on machine learning solutions for medical problems. Why it matters: This talk highlights the important role of AI in addressing pandemics and the ethical considerations that come with its application in healthcare and policymaking.
Daniela Rus from MIT CSAIL discussed the role of AI in revolutionizing autonomous vehicles, emphasizing the need for risk evaluation, intent understanding, and adaptation to diverse driving styles. The talk highlighted integrating risk and behavior analysis in autonomous vehicle control systems. Social Value Orientation (SVO) can be incorporated into decision-making for self-driving vehicles. Why it matters: This research advances the development of safer and more adaptive autonomous vehicles, crucial for their successful deployment in diverse real-world driving scenarios within the GCC region and globally.
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.
Dr. Najwa Aaraj from MBZUAI and TII discussed the impact of quantum computers and machine learning on cryptographic algorithms. The talk covered post-quantum cryptographic (PQC) schemes, standardization efforts, and the role of machine learning in advancing cybersecurity solutions. Dr. Aaraj also highlighted the challenges of transitioning current cryptographic systems to quantum-resistant alternatives. Why it matters: As quantum computing advances, understanding and implementing post-quantum cryptography is crucial for maintaining secure communications and data protection in the UAE and globally.
This article discusses the application of uncertain time series (UTS) approach to manage and analyze big traffic data for high-resolution vehicular transportation services. The study addresses challenges such as data sparseness, decision-making among multiple UTSs, and future forecasting with spatio-temporal correlations. Jilin Hui, previously a Research Associate at the Inception Institute of Artificial Intelligence (UAE), is applying this approach to solve problems related to increased congestion, greenhouse gas emissions, and reduced air quality in urban environments. Why it matters: The application of AI techniques to traffic management could significantly improve urban mobility and environmental sustainability in the GCC region and beyond.
Dr. Xinwei Sun from Microsoft Research Asia presented research on trustworthy AI, focusing on statistical learning with theoretical guarantees. The work covers methods for sparse recovery with false-discovery rate analysis and causal inference tools for robustness and explainability. Consistency and identifiability were addressed theoretically, with applications shown in medical imaging analysis. Why it matters: The research contributes to addressing key limitations of current AI models regarding explainability, reproducibility, robustness, and fairness, which are crucial for real-world applications in sensitive fields like healthcare.
MBZUAI President Eric Xing delivered a talk at Carnegie Mellon University on May 13, 2022, titled “From Learning, to Meta-Learning, to Lego-Learning — theory, systems, and engineering.” Xing discussed the development of a standard model for learning, inspired by the standard model in physics, which aims to unify various machine learning paradigms. Before joining MBZUAI, Xing was a professor at CMU and founder of Petuum Inc., an AI development platform company. Why it matters: This talk highlights MBZUAI's leadership in advancing theoretical frameworks for machine learning and its commitment to unifying different AI approaches.
A CMU researcher, Dr. Hongyi Wang, presented an evaluation of gradient compression methods in distributed training, finding limited speedup in most realistic setups. The research identifies the root causes and proposes desirable properties for gradient compression methods to provide significant speedup. The talk was promoted by MBZUAI. Why it matters: Understanding the limitations of gradient compression techniques can help optimize distributed training strategies for AI models in the region.
MBZUAI Professor Salman Khan is researching continuous, lifelong learning systems for computer vision, aiming to mimic human learning processes like curiosity and discovery. His work focuses on learning from limited data and adversarial robustness of deep neural networks. Khan, along with MBZUAI professors Fahad Khan and Rao Anwer, and partners from other universities, presented research at CVPR 2022. Why it matters: This research has the potential to significantly improve the ability of AI systems to understand and adapt to the real world, enabling more intelligent autonomous systems.
MBZUAI welcomes Hao Li, CEO of Pinscreen, as a new faculty member specializing in virtual humans. Li envisions a future where virtual humans facilitate interactions and overcome limitations of physical presence, citing benefits like improved education and remote collaboration. His work focuses on the intersection of computer vision, computer graphics, and machine learning to enable immersive digital experiences. Why it matters: This signals MBZUAI's commitment to advancing research in virtual reality and the metaverse, potentially positioning the UAE as a leader in this emerging field.
The Ambassador of the Kingdom of the Netherlands to the UAE, Lody Embrechts, met with MBZUAI's Interim President Michael Brady and Provost Ling Shao. They discussed promoting further collaboration between the UAE and the Netherlands on AI innovation. MBZUAI is partnering with G42, Cerebras, and India’s C-DAC to advance AI research. Why it matters: International collaborations like this are crucial for fostering innovation and developing a robust AI ecosystem in the UAE.
MBZUAI has appointed Dr. Ling Shao as Executive Vice President and Provost to lead academic affairs and research. Dr. Shao is also the CEO and Chief Scientist of the Inception Institute of Artificial Intelligence (IIAI). MBZUAI is partnering with IIAI for PhD student supervision and curriculum development. Why it matters: This appointment signals MBZUAI's commitment to attracting top AI talent and establishing itself as a leading AI research institution in the region.
MBZUAI is hosting a webinar on September 1st featuring Professor Anil K. Jain to discuss AI research advances in biometrics, its applications, and challenges like user privacy. The webinar will highlight opportunities presented by new biometric and facial recognition systems and key application areas like airport security. The UAE's adoption of multi-biometric entry and exit programs in airports will also be discussed. Why it matters: As biometric technology sees increased adoption, this talk will help address concerns around reliability, security and accuracy of biometric recognition algorithms.
Professor Ling Shao, Executive Vice President and Provost of MBZUAI, has been elected an IEEE Fellow. This honor recognizes his contributions to computer vision and representation learning. The IEEE Fellowship is a prestigious distinction given to select IEEE members. Why it matters: This recognition highlights the growing prominence of MBZUAI and its faculty in the international AI research community.
MBZUAI is developing AI algorithms to intelligently process data from wearables and home sensors for remote patient monitoring. The algorithms aim to analyze multiple strands of health data to provide a more comprehensive view of a patient's health, distinguishing between genuine emergencies and benign situations. MBZUAI's provost, Professor Fakhri Karray, believes this approach could handle 20-25% of diagnoses virtually, reducing the burden on healthcare systems. Why it matters: This research could significantly improve healthcare efficiency and accessibility in the UAE and beyond by enabling more effective remote patient monitoring and reducing unnecessary hospital visits.
UC Berkeley professor Michael I. Jordan will lead a session on AI, Machine Learning and Economy as part of the MBZUAI Executive Program. The program is headed by MBZUAI President Eric Xing and includes 42 participants from ministerial leadership and top industry executives. The 12-week program aims to support the UAE's AI leadership mission through education, capacity building, innovation, and R&D. Why it matters: The involvement of a prominent academic figure like Jordan highlights the UAE's commitment to attracting global expertise in AI education and solidifying its position as an AI hub.
Turing Award winner Raj Reddy spoke at the MBZUAI Executive Program. Reddy is a Professor of Computer Science and Robotics at Carnegie Mellon University (CMU) and has held leadership roles at CMU, AAAI, and IEEE. His research focuses on AI, human-computer interaction, and technology's societal impact. Why it matters: High-profile speakers at UAE AI programs can help attract talent and investment to the region.
MBZUAI has appointed Professor Timothy Baldwin as Associate Provost and acting chair of its new NLP Department. Baldwin will focus on strengthening the curriculum and building a world-class faculty team. He previously spent 17 years at the University of Melbourne. Why it matters: The recruitment signals MBZUAI's commitment to becoming a leading center for NLP research and education in the region.
MBZUAI faculty members led or co-led several top global AI conferences in 2022, including ACL, ICML, CLeaR, and UAI. Faculty members Timothy Baldwin, Le Song, Kun Zhang, and Preslav Nakov held leadership positions at these conferences. According to CSRankings, MBZUAI ranks in the top 30 globally in AI, computer vision, machine learning, and NLP. Why it matters: This highlights MBZUAI's growing influence and reputation in the global AI research community, solidifying its position as a leading institution in the field.
MBZUAI Professor Kun Zhang received a Test of Time Award Honorable Mention at ICML 2022 for his 2012 paper “On causal and anticausal learning." The paper, co-authored with researchers from the Max-Planck Institute, is considered foundational for causal learning in machine learning. Zhang's work demonstrated the importance of causality for machine learning tasks, helping to shift views in the field. Why it matters: This award highlights the growing recognition of causal AI research and MBZUAI's role in advancing the field.
A delegation from MBZUAI visited Egypt to discuss potential collaborations with Egyptian universities in AI. Discussions involved joint research projects in healthcare and Arabic language processing, establishing joint AI labs, faculty exchange programs, and dual degree programs. MBZUAI expressed its enthusiasm for collaborating with Egyptian universities, offering its faculty and research capabilities. Why it matters: This partnership can help advance AI research and education in both countries, especially in areas like Arabic NLP and AI applications in healthcare, fostering regional AI talent and innovation.
MBZUAI hosted an AI Talks session featuring Dr. Mohammad Yaqub discussing AI's role in fighting COVID-19 and predicting future pandemics. AI can detect outbreaks by mining news and social media for unusual patterns, as demonstrated by companies flagging pneumonia cases in Wuhan before the official announcement. AI-empowered drug repurposing identified Baricitinib as a potential COVID-19 treatment and can predict virus mutations. Why it matters: This highlights the potential of AI to enhance pandemic preparedness and response in the region, particularly through institutions like MBZUAI.
MBZUAI faculty member Dr. Hang Dai won first and second place in the Commands 4 Autonomous Vehicles (C4AV) Workshop Challenge at ECCV 2020. Dr. Dai participated in the competition as part of two teams, earning top spots for using AI in autonomous vehicles. The C4AV Workshop Challenge aims to develop models for joint understanding of vision and language in self-driving cars. Why it matters: This win demonstrates MBZUAI's commitment to advancing AI research and its applications in key areas like autonomous vehicles.
MBZUAI's president Eric Xing warns against the unchecked pursuit of increasingly large AI models, drawing an analogy to an "atomic bomb" due to the unpredictability of their behavior. He argues that the field lacks sufficient understanding of what these models learn and whether their outputs are reliable, advocating for more efficient models. Xing emphasizes the need for debuggability and error tracking in AI, similar to established engineering practices. Why it matters: The piece highlights growing concerns within the AI community about the scalability and potential risks associated with increasingly complex AI models, particularly regarding transparency and control.
Dr. Qirong Ho joins MBZUAI as an assistant professor focusing on machine learning systems, aiming to inspire students to specialize in this area. He emphasizes the importance of AI software systems for turning AI prototypes into real products, addressing a skills imbalance in the AI field. MBZUAI is expanding its machine learning department and finalizing its Centre for Integrative AI. Why it matters: This highlights MBZUAI's focus on developing expertise in AI infrastructure and systems, crucial for translating research into practical applications within the UAE and beyond.
Dr. Pengtao Xie joins MBZUAI as an assistant professor focusing on healthcare and machine learning, inspired by human learning. He is developing automated machine learning methods for healthcare, such as neural architectures for pneumonia detection from chest X-rays. His method achieves state-of-the-art performance with 95% accuracy and is under review by Nature Scientific Report. Why it matters: This appointment strengthens MBZUAI's research capabilities in healthcare AI and signals the university's commitment to attracting top global talent to Abu Dhabi.
Najwa Aaraj, Chief Researcher at the Cryptography Research Centre at TII, has joined MBZUAI as the first female faculty member in the Machine Learning Department. Aaraj leads R&D of cryptographic technologies, including post-quantum cryptography and lightweight cryptographic libraries. Her research will focus on the intersection of cryptography, cybersecurity, and machine learning, including using ML for cryptanalysis and protecting ML models with cryptography. Why it matters: This appointment strengthens MBZUAI's expertise in a critical area of AI security and cryptography, fostering cross-disciplinary research and innovation in the UAE.
Dr. Kun Zhang from Carnegie Mellon University will spend 2022 as a Visiting Associate Professor in the Machine Learning Department at MBZUAI. Zhang's research focuses on causal discovery and causality-based learning, with applications in neuroscience, computer vision, computational finance, and climate analysis. He aims to develop methods for automated causal discovery from various kinds of data. Why it matters: This appointment strengthens MBZUAI's machine learning department and promotes research in causal AI, which is crucial for understanding and predicting complex systems.
MBZUAI Adjunct Professor Mérouane Debbah was named a Highly Cited Researcher by Clarivate, placing him in the top 1% of researchers globally. Debbah, who joined MBZUAI's machine learning department in 2021, also serves as chief researcher at the Technology Innovation Institute (TII) in Abu Dhabi. His research focuses on multi-agent reinforcement learning, distributed AI, and applying AI to improve telecommunications, including reducing dead spots and improving energy efficiency. Why it matters: This recognition highlights the UAE's growing prominence in AI research, particularly in leveraging AI for advancements in telecommunications infrastructure and multi-agent systems.
MBZUAI has appointed Professor Mohsen Guizani as Associate Provost for Faculty Affairs and Institutional Advancement, bringing over 30 years of academic experience. Guizani previously served as the Founding Associate Vice President for Graduate Studies at Qatar University. He has secured over $30 million in research grants and published extensively in AI, IoT, and cybersecurity. Why it matters: This appointment strengthens MBZUAI's leadership and faculty development, contributing to its goal of becoming a globally recognized institution in AI research and education.
Dr. Mohammad Yaqub, an Assistant Professor at MBZUAI, leads the BioMedIA lab and focuses on applying AI to real-world healthcare challenges, particularly in smart imaging. He was inspired by a textbook by Tom Mitchell and his work at Oxford University where he helped develop ScanNav, an AI solution aiding sonographers in anomaly scans during pregnancy. ScanNav assists in assessing fetal growth and detecting abnormalities, potentially improving early intervention. Why it matters: This highlights the growing importance of AI in enhancing medical diagnostics and improving healthcare outcomes in the UAE and globally.
MBZUAI Associate Professor Martin Takáč is working on high-performance computing and machine learning with applications in logistics, supply chain management, and other areas. His research focuses on using AI to improve precision and efficiency in tasks like predicting demand and optimizing delivery routes. Takáč's interests include imitative learning, predictive modeling, and reinforcement learning to enable AI to mimic human behavior and predict future outcomes. Why it matters: This research contributes to the development of more efficient and reliable AI systems that can be applied to a wide range of industries in the UAE and beyond.
MBZUAI Associate Professor Karthik Nandakumar is conducting computer vision research with students, focusing on security, privacy, and trustworthiness in AI. His SPriNT-AI lab is developing machine learning algorithms for industries like energy, health, and security, aligning research with the UAE’s strategic goals. One project involves using drones to detect defects in solar plants in collaboration with Masdar. Why it matters: This applied research contributes to the UAE's sustainable development goals and enhances the practical skills of AI students for local industry needs.
Dr. Min Xu joins MBZUAI as Affiliated Assistant Professor in Computer Vision to advance AI-based biomedical image analysis. His research focuses on cellular cryo-electron tomography (Cryo-ET) 3D image analysis, spatial transcriptomics, digital pathology, and automated science. Xu will collaborate with MBZUAI faculty and advise master’s students, leveraging his expertise in computational biology and bioinformatics. Why it matters: This appointment strengthens MBZUAI's capabilities in applying AI to critical areas of biomedical research, potentially leading to breakthroughs in disease understanding and treatment.
MBZUAI Assistant Professor Bin Gu is working on black-box optimization techniques, especially in the context of vertical federated learning. Gu's work, in collaboration with JD.com, aims to enhance data and model privacy in machine learning. He is also focused on large-scale optimization and spiking neural networks to bring machine automation closer to the way the human brain operates. Why it matters: This research contributes to advancements in privacy-preserving machine learning techniques relevant to sensitive sectors like finance and healthcare in the region.
MBZUAI faculty Eric Xing and Qirong Ho are developing AI operating systems (AI OS) for efficient AI development, similar to mobile OS. They co-founded AI startup Petuum and lead the CASL community, which focuses on composable, automatic, and scalable learning. CASL provides a unified toolkit for distributed training and compositional model construction, with contributions from MBZUAI, CMU, Berkeley, and Stanford. Why it matters: The development of AI OS aims to optimize AI applications by efficiently connecting software and hardware, fostering innovation and broader adoption of AI solutions across industries in the region.
UAE University (UAEU) and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) are strengthening research ties through collaboration. A UAEU delegation visited MBZUAI to discuss joint programs and cooperation, aiming to develop academic talent. MBZUAI has 133 students from 40 countries enrolled in graduate programs like computer vision, machine learning, and NLP. Why it matters: This partnership between two leading UAE institutions can help advance the nation's AI capabilities and contribute to its 50-year vision.
MBZUAI President Eric Xing has been elected a fellow of the American Statistical Association (ASA) for 2022. The ASA recognized Xing for pioneering machine learning research in areas like structured inference and probabilistic graphical models, as well as his entrepreneurship and leadership in AI education. He was previously a professor at CMU and the founder of Petuum Inc. Why it matters: This recognition highlights the growing prominence of MBZUAI and its leadership in the international AI research community.
MBZUAI Professor Timothy Baldwin delivered the presidential keynote at the 60th Annual Meeting of the Association for Computational Linguistics (ACL). Baldwin also published three papers at the conference, including work on biomedical literature summarization, NLP for Indonesian languages, and understanding procedural texts. The papers address challenges such as reducing human effort in reviewing medical documents and digitally preserving Indonesian indigenous languages. Why it matters: Baldwin's contributions and leadership role at ACL highlight the growing prominence of MBZUAI and GCC-based researchers in the global NLP community.
MBZUAI's President Eric Xing compares the current state of AI to the early stages of physics and chemistry, emphasizing the university's role in shaping the future of AI. He stresses the importance of addressing societal concerns and ensuring AI's trustworthiness, safety, and responsibility, advocating for AI researchers to engage with the community and uphold scientific principles. MBZUAI aims to foster a culture of innovation and contribute to the transparent and socially minded development of AI. Why it matters: This underscores the UAE's strategic focus on responsible AI development, positioning MBZUAI as a key player in guiding the ethical and societal implications of AI on a global scale.
A delegation from Malaysia, including His Royal Highness Hassanal Ibrahim Alam Shah Ibni Al-Sultan Abdullah Ri’ayatuddin Al-Mustafa Billah Shah, visited MBZUAI. The delegation toured the campus and discussed potential collaborations between MBZUAI and Malaysian educational institutions. Discussions also covered leveraging AI for societal and economic benefits, and how MBZUAI's curriculum will shape future AI experts. Why it matters: This visit signals growing international interest in MBZUAI and potential partnerships that could foster AI development in both the UAE and Malaysia.
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) welcomed its inaugural cohort of 78 students from 29 countries in a virtual event. The students have enrolled in Machine Learning and Computer Vision programs, comprising 13 PhD students and 65 MSc students. H.E. Dr. Sultan Ahmed Al Jaber emphasized the importance of AI in transforming industries, with MBZUAI focusing on R&D across services, manufacturing, and sustainability. Why it matters: This marks a key step in the UAE's strategy to become a leader in AI research and development, particularly in areas that can address critical global challenges.
A delegation of Ethiopian government officials, led by State Minister for Innovation and Technology Dr. Ahmedin Mohammed, visited MBZUAI in Abu Dhabi. The delegation included representatives from Ethiopia's Technology and Innovation Institute and Artificial Intelligence Institute. Discussions focused on potential research collaborations and partnerships in AI. Why it matters: This meeting indicates growing interest from African nations in partnering with leading AI institutions in the GCC to advance their own AI capabilities.
Professor Le Song has joined MBZUAI as Deputy Department Chair of the Machine Learning Department. He brings decades of experience from institutions like Georgia Tech, Google Research, and Carnegie Mellon University. Le Song's research focuses on machine learning methods and algorithms for complex and dynamic data, with over 160 papers published in top ML conferences. Why it matters: This appointment bolsters MBZUAI's machine learning department and signals the university's commitment to attracting world-class AI talent to the UAE.
President Volodymyr Zelensky and First Lady Olena Zelenska of Ukraine visited Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi. They met with MBZUAI leadership including President Dr. Eric Xing and Dr. Behjat Al Yousuf. The delegation received a briefing on MBZUAI’s goals and strategies to support the UAE’s vision for a knowledge-based economy and AI leadership. Why it matters: The visit signifies the UAE's growing prominence as a hub for AI research and education on the global stage.
A delegation from the Kyrgyz Republic, including the Ambassador to the UAE and the Minister of Education and Science, visited MBZUAI. The visit included a tour of the MBZUAI campus and discussions on potential collaborations. The delegation expressed interest in increasing the number of Kyrgyz students at MBZUAI and collaborating on research projects. Why it matters: This engagement signals MBZUAI's growing role as a regional hub for AI education and research, extending its reach beyond the GCC.
Kazakhstan's Prime Minister, Askar Mamin, and senior delegates visited Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and were hosted by Professor Eric Xing and Dr. Behjat Al Yousuf. The visit included a tour of the MBZUAI campus in Masdar City and a briefing on the university's goals. Discussion between Mr. Shigeo Katsu, President of Nazarbayev University in Kazakhstan, and MBZUAI leadership explored potential partnerships. Why it matters: This visit signals growing interest and potential collaboration between Central Asian nations and the UAE in the field of AI research and education.
A senior delegation from Weizmann Institute of Science visited MBZUAI in Abu Dhabi to discuss the MBZUAI-WIS Joint Program for Artificial Intelligence Research. The AI Program, announced in February, aims to promote collaborative initiatives in fundamental AI research and explore AI applications in healthcare and genomics. The program will focus on Machine Learning, Computer Vision, NLP, Computational Biology, and Neural Sciences, with plans for researcher appointments and resources. Why it matters: This partnership strengthens the AI ecosystem in the UAE and the region, particularly in fundamental research and key application areas.
A delegation from Luxembourg, including H.E. Franz Fayot, Minister of Economy, and H.E. Elisabeth Cardoso, Ambassador to the UAE, visited MBZUAI. They met with MBZUAI President Prof. Eric Xing, Dr. Behjat Al Yousuf, and Prof. Le Song to discuss potential collaborations. The discussions focused on opportunities between MBZUAI and Luxembourg institutions. Why it matters: This visit signals growing international interest in partnering with MBZUAI, potentially fostering research and educational exchanges.