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.
Professor Mohsen Guizani has hit the ground running in his endeavor to increase Mohamed bin Zayed University of Artificial Intelligence’s (MBZUAI) rankings and research accolades. Guizani has earned himself his seventh Best Journal/Conference Paper Award in eight years.
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Dr. Moayad Aloqaily's work addressed the importance of blockchain-enabled energy trading for cyberphysical systems and provided a thorough overview of Peer-to-Peer (P2P) energy trading in blockchain systems.
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ccording to Professor Fakhri Karray, MBZUAI’s provost, there is a gap in the market for algorithms that can intelligently analyze multiple strands of health data, rather than just individual metrics, to provide a bigger picture of a human’s health.
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