Hamdi Altaheri

AI researcher and IEEE Senior Member with over a decade of experience developing deep learning models across neurotechnology, computer vision, and intelligent systems. Currently serves as an Assistant Professor at the College of Applied Computer Science, King Saud University. Held a Postdoctoral Fellowship at the University of Waterloo (2024–2025), focusing on the integration of large language models with brain signals using self-supervised learning. Previously served as a researcher at the Center of Smart Robotics Research (2019–2024) and as Adjunct Lecturer at the College of Applied Computer Science (2022–2024), King Saud University. Author of 23 peer-reviewed publications, including articles in IEEE Transactions on Industrial Informatics and the IEEE Internet of Things Journal, with several works recognized as Highly Cited by Web of Science. Co-inventor on two U.S. patents. Developed open-source deep learning models for EEG-based brain decoding, adopted in widely used research toolkits such as TorchEEG and Braindecode. Recipient of several academic and national awards, including the President of the Republic of Yemen Prize for Youth in Applied Sciences. Current research interests include foundation models, generative AI, and multimodal learning, with a focus on translating advanced AI research into robust, real-world systems.