MBZUAI Highlights AI Innovations For Sustainability At World Future Energy Summit 2024

The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is currently showcasing a suite of artificial intelligence (AI) innovations at the World Future Energy Summit (WFES), held at the Abu Dhabi National Exhibition Centre (Adnec) until April 18. This participation underscores the university's commitment to advancing sustainability research across three pivotal areas: smart grids, malaria control, and urban heat island effect detection and mitigation. The event also features MBZUAI faculty members delivering keynote speeches and engaging in panel discussions, further emphasizing the institution's role in fostering AI-driven solutions for real-world challenges.

At its booth located in the Innovation Zone (Hall 5 – Stand 5250) of WFES, MBZUAI is introducing interactive research portals alongside an AI Face Interactive ChatGPT. These tools are designed to demonstrate the practical applications of AI in addressing pressing global issues. The university's research spans several critical sectors, including health, education, and climate change, aligning with the UAE's ambitious goal to achieve a carbon-neutral footprint through technology-enabled solutions.

The university has outlined a comprehensive schedule for its participation in WFES, highlighting the contributions of its faculty members to the field of AI. Notable events include:

• Tuesday, April 16 at 2:30 p.m.: Dr. Mohammad Yaqub, associate professor of computer vision at MBZUAI, will present on "Real-time Autonomous Malaria Diagnosis and Assessment from Microscopy Images".
• Wednesday, April 17 at 1:00 p.m.: Dr. Hosni Ghedira, director of engagement services at MBZUAI, will participate in a panel discussing "AI for Net Zero Cities: Innovations, Strategies, and Impact" at the Scaling Climate Tech event.
• Wednesday, April 17 at 1:30 p.m.: Dr. Martin Takac, associate professor of machine learning at MBZUAI, will talk about "Powering the Future: Innovating Grid Efficiency in the Renewable Energy Era".
• Thursday, April 18 at 11:30 a.m.: Dr. Salman Khan, associate professor of computer vision at MBZUAI, will delve into "AI-enabled Urban Heat Island Detection and Mitigation".

The participation of MBZUAI in WFES highlights the university's dedication to leveraging AI for sustainable development. By focusing on areas such as smart grids for enhanced energy efficiency, innovative strategies for malaria diagnosis and treatment, and advanced detection methods for urban heat islands, MBZUAI is at the forefront of addressing some of the most pressing environmental challenges facing our world today. Through its research and public engagement at forums like WFES, MBZUAI continues to contribute significantly to the global dialogue on sustainability and innovation.