Connected and Autonomous Vehicles (CAVs) have the potential to expedite the realization of a smart city by allowing for sharing/storing digital content, sensing, and mobilizing electrical power.
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The increasing penetration rates of residential rooftop photovoltaics (PV) and distributed energy resources (DERs) has led to an increase in the number of prosumers and enhanced end-users flexibility.
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Automatic understanding of visual data collected from UAVs has been of great interest to industry and academia. Thus, visual object detection is instrumental in a fully autonomous systems.
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The advances in Automated and Connected Vehicles have reached new levels in autonomy. This is achieved through Federated Learning (FL), distributed, decentralized, and cooperative techniques. Moreover, new areas of research and development are being considered for Unmanned Aerial Vehicles (UAVs), where a swarm of intelligent drones is deployed to not only provide new and state-of-the-art services but also assist core network infrastructures in the communication process.
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Industry partnerships give students and faculty additional funding by striking up corporate partnerships that allows for the diversification of research directions.
We help startups bootstrap during its early stages and often provides mentoring, guidance, co-working space and also at times some funding
Our research work offers a fundamentally new vision based on technology trends that will drive significant disruption and opportunity in the upcoming years.
Our labratory relies on the state-of-the-art technologies to build and deploy the latest and most powerful machine learnin models.
Mohammed Bin Zayed University of Artificial Intelligence's (MBZUAI) esteemed Metaverse Research Team, led by Professor Mohsen and Dr. Moayad, is delighted to announce their exceptional achievement of winning the Best Paper Award at the renowned 2022 IEEE International Conference on Metaverse, a part of the esteemed 2022 IEEE Smart World Congress (UCI/ATC/ScalCo/DigitalTwin/PriComp/Metaverse-2022).
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ArtifiTialLeap, a research team of Ammar Kamal Abasi, Moayad Aloqaily, and Mohsen Guizani, has been awarded the Best Paper Award at IEEE GLOBECOM 2022. The team's "Grey Wolf Optimizer for Reducing Communication Cost of Federated Learning" paper was presented at the CSM Symposium.
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ArtifiTialLeap has been awarded the Best Paper Award at IEEE MeditCom 2022 for its research on reducing communication costs in Federated Learning. The winning paper, "Sine Cosine Algorithm for Reducing Communication Costs of Federated Learning," was authored by Ammar Kamal Abasi, Moayad Aloqaily, Mohsen Guizani, and Fakhri Karray.
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