Hamdi Altaheri

AI Researcher specializing in deep learning and foundation models, with 10+ years of R&D experience. Currently a Postdoctoral Fellow at the University of Waterloo, leading research on integrating large language models (LLMs) with brain signals. Previously served as an AI Researcher at King Saud University’s Center of Smart Robotics Research (2019–2024) and as an Adjunct Lecturer (2022–2024), contributing to the development of AI solutions for health tech, brain–computer interfaces, computer vision, speech forensics, and robotics.

Published 21 peer-reviewed articles in international journals and conferences, including IEEE Transactions on Industrial Informatics and the IEEE Internet of Things Journal, with two papers listed as “Highly Cited” by Web of Science. Holds two U.S. patents in robotics and artificial intelligence. Developed deep learning models for EEG-based brain decoding, released as open-source projects and integrated into research toolkits such as TorchEEG and Braindecode. Recognized with multiple awards, including the President of the Republic of Yemen Prize for Youth in Applied Sciences.

Currently, focused on bridging brain signals with foundation models and generative AI through self-supervised multimodal learning. Open to roles that translate advanced research into scalable, real-world AI applications.