Scholar
Hamdi Altaheri
Google Scholar ID: UkfsK6EAAAAJ
PhD, Post Doctoral Scholar at University of Waterloo
Citations & Impact
Citations
1,975
H-index
15
i10-index
17
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- 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.
Research Experience
- Postdoctoral Fellow at the University of Waterloo, researching the integration of large language models with brain signals; AI Researcher at King Saud University's Center of Smart Robotics Research (2019-2024); Adjunct Lecturer at King Saud University (2022-2024).
Education
- No specific educational background information provided.
Background
- 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.
Miscellany
- 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.
