artificial intelligence

Najmeddine Dhieb

Yasmeen Alsaedy

M.S. Student, Computer Science
She is an AI researcher specializing in generative AI and deep learning. With a strong academic foundation and hands-on experience in machine learning, data science and artificial intelligence, she is passionate about advancing AI applications in real-world scenarios. She has contributed to cutting-edge projects, published research, and collaborated on innovative solutions that bridge the gap between AI theory and practice. Her expertise includes designing and implementing advanced data models, AI-driven visual/text computing, and deep learning architectures.

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)

The Robots are Coming – to your Farm

Girish Chowdhary, Associate Professor, UIUC

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KAUST

Featured Sessions
For more information please visit the website

Bioinspired Subsea Robots and Underwater Networks

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B18 Fellowship Hall

Featured Sessions
Abstract Advanced subsea robots and monitoring networks have become increasingly important for subsea exploration, environmental observation, industrial control, and maritime security. These systems face challenges ranging from shallow water to deep-sea applications. To overcome these challenges, engineers can draw inspiration from nature. Studies on the bio-sonar of dolphins provide a clue for reliable underwater communication and positioning, which is the basis for modern subsea networks and collaborative underwater robots. Pressure-resistant electronic design enables devices to operate at

Marine Autonomy: Research and Applications

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B18 Fellowship Hall

Featured Sessions
Abstract Marine autonomy does not have as many constraints as there are on land but there are still challenges that need to be overcome to make the most of current and future opportunities. My talk will concentrate on the research works done in the marine autonomous systems research group at Plymouth where the focus of the research group has been towards application of AI techniques to the navigation, guidance and control of autonomous marine vehicles. The talk will also discuss future challenges in the marine autonomy areas and their likely solutions. Biography Dr Sanjay Sharma, Associate