MBZUAI graduate Ahmed Elhagry received the Best Ph.D. Forum Paper Award at IEEE MetaCom 2023 for his work on generating virtual worlds using digital twin technology and AI through a text-to-metaverse pipeline. The research addresses the challenge of manually constructing 3D models for metaverse applications, which is time-consuming and costly. Elhagry's approach uses multimodal AI and DT technology to produce realistic virtual environments, benefiting industries like education, healthcare, and entertainment. Why it matters: This award recognizes innovative research at MBZUAI with the potential to advance metaverse development and AI-driven virtual environment creation in the region.
MBZUAI and RIKEN-AIP (Japan) co-hosted a joint workshop at MBZUAI's Masdar City campus. The workshop facilitated the sharing of research and perspectives across machine learning, computer vision, and natural language processing. Researchers from both institutions explored interdisciplinary cooperation to enhance AI's capacity to address real-world problems. Why it matters: This collaboration strengthens MBZUAI's position as a hub for cross-disciplinary AI research and fosters international partnerships in the field.
Two teams from MBZUAI won awards at the IEEE SLT international hackathon held in Qatar. One team won the "Best Potential Impact Project" award for Autodub, a human-in-the-loop AI dubbing platform. The second MBZUAI team won the "Craziest Idea Award" for a commentator voice synthesizer for video games. Why it matters: The wins highlight MBZUAI's strength in applied AI research and its students' ability to develop innovative solutions with practical applications.
MBZUAI students participated in the Climate Ambassadors Programme (CAP) at Expo City Dubai, role-playing a COP28 session. Representing different countries, the students developed innovative climate change solutions, emphasizing AI's role. The event, part of a series leading up to COP28, saw MBZUAI ambassadors highlighting the need for proactive environmental action. Why it matters: This initiative showcases the potential of AI-focused education in addressing global climate challenges and promoting youth engagement in sustainability efforts within the UAE.
Emirates Health Services (EHS) and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) have signed an MoU to strengthen cooperation and knowledge sharing. The agreement focuses on developing human capital, promoting skills, and advancing scientific research and innovation. It includes research opportunities, sponsoring EHS employees for master’s and doctorate degrees at MBZUAI, and providing specialized AI training programs in healthcare. Why it matters: This partnership aims to enhance healthcare efficiency and digital skills in the UAE through AI, contributing to the overall well-being of the population.
MBZUAI hosted its second in-person Internships and Opportunities Fair, connecting master's and doctoral students with 37 organizations from the UAE's private and public sectors. Companies like ADNOC, Dubai Police, and Etihad Airways showcased short-term and permanent AI-related opportunities. An industry panel discussion featuring DHL and General Motors gave career advice. Why it matters: The event highlights the increasing demand for AI expertise within the UAE and MBZUAI's role in contributing to the nation's AI capabilities.
The Abu Dhabi Music & Arts Foundation (ADMAF) and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) have signed a Memorandum of Understanding (MoU) to co-curate a program involving international professors, artists, and scientists. The collaboration will focus on STEAM projects, artist residencies, and publishing research papers. The partnership was announced in conjunction with the Riwaq Al Fikr talk exploring AI's implications for the music and creative industries. Why it matters: This MoU signifies a growing trend of integrating AI with arts and culture in the UAE, potentially fostering innovation and new forms of artistic expression.
MBZUAI students Hanoona Bangalath and Muhammad Maaz, with perfect GPAs, had papers accepted at ECCV 2022 ("Class-agnostic Object Detection with Multi-modal Transformer") and NeurIPS 2022 ("Bridging the Gap between Object and Image-level Representation for Open-Vocabulary Detection"). Both will stay at MBZUAI for their PhDs, crediting the university's resources and faculty. Their supervisor, Salman Khan, praised their curiosity and hard work, highlighting their role in building the institution's reputation. Why it matters: The success of these students underscores MBZUAI's potential to foster high-quality AI research and attract top talent to the UAE.
Eran Segal from Weizmann Institute of Science presented The Human Phenotype Project, a large-scale prospective cohort with over 10,000 participants. The project aims to identify novel molecular markers and develop prediction models for disease onset using deep profiling. The profiling includes medical history, lifestyle, blood tests, and molecular profiling of the transcriptome, genetics, microbiome, metabolome and immune system. Why it matters: Such projects demonstrate the growing focus on personalized medicine in the region, utilizing advanced AI and machine learning techniques for disease prevention and treatment.
Giulia De Masi, Principal Scientist at the Technology Innovation Institute (TII) in Abu Dhabi, specializes in Collective Intelligence and Swarm Robotics. Her work focuses on designing emergent behaviors in robot swarms through local interactions, drawing inspiration from social insects. De Masi's background includes positions at academic institutions in the UAE and a PhD from the University of Rome La Sapienza. Why it matters: This highlights the growing focus on swarm robotics and collective intelligence research within the UAE, with potential applications in various industries.
Ian Reid, a Professor of Computer Science at the University of Adelaide, gave a talk at MBZUAI on leveraging deep learning to go beyond geometric SLAM. The talk covered using prior domain knowledge to improve map and shape estimation and enabling navigation in unvisited environments. The research aims to turn cameras into devices for flexible, large-scale situational awareness or "Spatial AI" sensors. Why it matters: Integrating deep learning with SLAM could significantly advance robotic navigation and spatial understanding, with applications for autonomous systems in various industries.
MBZUAI and the Weizmann Institute of Science (WIS) are deepening research ties through ongoing engagement and knowledge sharing. A delegation from MBZUAI visited WIS to discuss collaboration across a range of research projects overseen by a joint review board. The partnership, formalized in 2021 through the MBZUAI-WIS Joint Program for Artificial Intelligence Research, focuses on advancing research in natural and machine intelligence. Why it matters: This collaboration strengthens the AI research ecosystem in the region and leverages expertise from both institutions to develop AI technologies for societal benefit.
An all-female team including two MBZUAI master's students won the WomenHackAI competition, presented by Siemens Female Data Science Network. The team developed an anomaly detector for financial time-series datasets, achieving 99% performance. The solution involved building models to analyze historical data and a GUI for real-time data upload and anomaly flagging. Why it matters: The recognition of MBZUAI students in an international competition highlights the growing talent pool in AI within the UAE and the university's role in fostering innovation.
100 C-suite leaders from UAE's industrial sector graduated from the Leadership 4.0 training program, implemented by MoIAT in collaboration with MBZUAI. The program aims to develop AI implementation skills in industry, aligning with the 'Make it in the Emirates' initiative. The training took place at MoIAT’s headquarters in Dubai. Why it matters: This initiative signals a strategic push to integrate AI into the UAE's industrial sector by upskilling leadership, potentially boosting competitiveness and innovation.
MBZUAI researchers are applying federated learning to optimize smart grids while protecting user data privacy. This approach leverages techniques from smart healthcare systems to enhance energy efficiency and local energy sharing. The research addresses the challenge of balancing grid optimization with the risk of user identity theft associated with traditional data-intensive smart grids. Why it matters: This research demonstrates a practical application of privacy-preserving AI in critical infrastructure, addressing key concerns around data security and fostering trust in smart grid technologies.
Two student teams from MBZUAI won top prizes at the inaugural Agritech Hackathon (“Agrithon”) organized by ADAFSA. The “Masdar Boys” team developed a dashboard integrating ML models for plant disease diagnosis, optimal animal clinic placement, and disease outbreak zone classification. The “Green AI” team built a machine learning framework for plant disease classification, winning second prize. Why it matters: This highlights the growing role of AI in addressing food security challenges in the UAE and the region, with potential for real-world applications through ADAFSA's interest in further developing the students' work.
MBZUAI has launched a Metaverse Lab led by Hao Li, focusing on integrating computer vision, graphics, and machine learning for metaverse applications. The lab aims to develop AI algorithms for photorealistic virtual humans and dynamic environment digitization. Pinscreen, Li's AI startup, previously created avatars for Expo 2020 Dubai. Why it matters: This initiative positions MBZUAI and the UAE as key players in the development of core technologies underpinning the metaverse and digital communication.
MBZUAI hosted its first in-person Opportunities Fair on September 7, connecting graduate students with 38 employers from various industries. Companies like ADNOC, Mubadala, DP World, G42, and McKinsey participated in the event, which included an exhibition and career development workshops. MBZUAI ranks 24th globally in AI, computer vision, machine learning, and NLP. Why it matters: This fair highlights the growing demand for AI talent in the UAE and MBZUAI's role in supplying qualified graduates to meet this demand.
MBZUAI has launched the third edition of its Executive Program (MEP), bringing together 45 global leaders, with over a third being women. The 12-week program will cover topics from AI fundamentals to ethics, and will include capstone projects addressing real-world problems with AI solutions. This edition will sponsor participants from an NGO and a startup to broaden perspectives. Why it matters: The program aims to build AI capabilities in line with UAE's vision and establish Abu Dhabi as an international AI hub, equipping leaders with skills to implement AI solutions across sectors.
NYUAD and MBZUAI co-hosted the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) in Abu Dhabi from December 7-11. EMNLP is a top-tier NLP and AI conference organized by the ACL special interest group on linguistic data (SIGDAT). MBZUAI's Natural Language Processing Department is actively developing NLP datasets and methods to solve social problems. Why it matters: Hosting EMNLP in the UAE highlights the growing importance of NLP research in the region and the increasing contributions of local institutions like MBZUAI to the field.
MBZUAI showcased its AI research and innovation at GITEX Global 2022 in Dubai, featuring an interactive exhibit. The university highlighted faculty research, student innovations, and presentations, including a keynote by President Eric Xing. A key focus was on AI technologies for the metaverse, led by Hao Li, and innovations like a communication aid for speech-impaired individuals. Why it matters: MBZUAI's presence at GITEX underscores its commitment to advancing AI literacy and demonstrating practical AI applications across diverse sectors in the UAE.
MBZUAI hosted a panel discussion in collaboration with the Manara Center for Coexistence and Dialogue. Chaoyang He, co-founder of FedML, presented on federated learning (FL), covering privacy/security, resource constraints, label scarcity, and scalable system design. FedML is a platform for zero-code, cross-platform, secure federated learning across industries like healthcare and finance. Why it matters: Federated learning is an important subfield for the GCC region, allowing privacy-preserving model training across distributed data sources.
MBZUAI faculty and researchers had 27 papers accepted at the 2022 NeurIPS conference. 12 MBZUAI faculty members have at least one paper accepted, with Professor Kun Zhang leading with 10 papers. Other faculty with accepted publications include Eric Xing, Le Song, and Fahad Khan. Why it matters: This achievement highlights MBZUAI's growing prominence in the global machine learning research community.
MBZUAI Department Chair Le Song served as a program co-chair at the 39th International Conference on Machine Learning (ICML). MBZUAI faculty, researchers, and students had 7 papers accepted at ICML 2022. Song noted the increasing focus on biomedicine and other science areas within the AI research community. Why it matters: Song's leadership role at ICML and MBZUAI's strong presence highlights the university's growing influence in the global machine learning landscape.
ICESCO and MBZUAI concluded a series of meetings at Moroccan universities to introduce engineering and science students to AI and scholarship opportunities at MBZUAI. Over 500 master’s and doctoral students participated in the week-long event. MBZUAI representatives highlighted the university's focus on computer vision and machine learning. Why it matters: This collaboration promotes AI education and research opportunities for students in Morocco, potentially fostering AI talent and innovation in the region.
WAM (Emirates News Agency) and MBZUAI have signed a strategic agreement to collaborate on media and AI, knowledge sharing, training, and development. MBZUAI will be the Strategic Academic Sponsor of the Global Media Congress organized by ADNEC and WAM in November 2022. MBZUAI will also provide WAM employees with seats in its Executive Program and offer consultancy services for establishing an AI lab at WAM. Why it matters: This partnership aims to modernize the UAE's media sector by leveraging MBZUAI's AI expertise to develop innovative media applications and support the Global Media Congress.
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.
The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has rescheduled the start of its first academic year to January 2021 due to COVID-19 disruptions. The decision was made by the Board of Trustees during a video conference chaired by H.E. Dr. Sultan Ahmed Al Jaber. The board also discussed campus progress, student onboarding, faculty appointments, and industry partnerships. Why it matters: The delay, while pragmatic, underscores the ongoing challenges faced by new academic institutions in establishing themselves amid global health crises, potentially impacting the growth of the 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 has appointed Dr. Behjat Al Yousuf as Executive Vice President for Outreach and Engagement. Dr. Al Yousuf will lead the university's external partnership mission, develop AI research initiatives, and provide AI advisory services to public and private sector organizations. Previously, Dr. Al Yousuf was Interim Provost of Masdar Institute and has held roles in the UAE Space Agency and other international groups. Why it matters: This appointment signals MBZUAI's commitment to expanding its reach and impact through strategic partnerships and community engagement in the UAE and beyond.
MBZUAI launched its Executive Program, a hybrid course for government and industry leaders to promote greater engagement with AI. The program's first session, led by MBZUAI President Eric Xing, covered the history and future of AI and machine learning. It aims to accelerate AI development across various sectors in the UAE, focusing on efficiency, cost savings, and environmental impact reduction. Why it matters: This initiative signals the UAE's commitment to fostering AI literacy and driving AI adoption across key sectors, aligning with national economic development plans.
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.
Harvard Professor David C. Parkes is leading a session on AI, Machine Learning, and Economics for the inaugural cohort of the MBZUAI Executive Program. This program includes 42 participants, including ministers and C-suite executives, and spans 12 weeks. The program aims to support the UAE's AI leadership mission through education and capacity building. Why it matters: This highlights the UAE's ongoing efforts to attract global AI expertise and develop local leadership in the field, furthering its national AI strategy.
Microsoft Azure AI CTO Dr. Xuedong Huang will speak at the MBZUAI Executive Program on AI-powered communications. Huang will share his experience in advancing Microsoft's AI stack, from deep learning infrastructure to new user experiences. He has over 170 U.S. patents and has contributed to speech technology, including Windows SAPI and Azure Speech. Why it matters: This talk can help foster knowledge transfer and collaboration between a global AI leader and the UAE's flagship AI university.
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 board member Sir Michael Brady and Weizmann Institute's Shimon Ullman lectured in the fourth module of MBZUAI’s Executive Program on December 11. Brady led a session on 'Artificial Intelligence (AI) and Image Analysis,' while Ullman presented on ‘AI and Human Intelligence: Lessons From Computer Vision.’ The 12-week Executive Program aims to educate high-level decision makers in AI, supporting the UAE's AI leadership mission. Why it matters: Showcases MBZUAI's commitment to attracting top global talent and fostering AI education for leadership in the UAE.
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 held its first Advisory Board meeting to discuss ongoing activities as it prepares to welcome its first graduate student class in September 2020. The board emphasized the importance of practical results and industry engagement, including knowledge of IP, patent laws, and startup finance. The Advisory Board will provide strategic recommendations and support in securing financial aid, internships, training, and employment opportunities for students. Why it matters: This event underscores MBZUAI's commitment to aligning AI education with real-world applications and fostering innovation in the UAE and beyond.
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.
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 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.
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.