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Vahid Tarokh is a member of the National Academy of Engineering and serves as the Rhodes Family Distinguished Professor in Electrical and Computer Engineering at Duke University. He has made significant contributions to the fields of artificial intelligence, signal processing, and various domains of learning including representations, transfer learning, and meta-learning. His research emphasizes innovative methods for managing datasets, focusing on foundational aspects of AI and signal processing. Tarokh's prior work involved investigating complex methods such as physics-infused learning and extreme value theory, significantly advancing understanding in these areas. He has been active in teaching and mentoring students, guiding them through various advanced topics in deep learning and their applications. As a seasoned researcher, he has numerous publications in top journals and conferences, offering insights into advanced computation methods and their real-world applications. His role also extends beyond academia as he participates in various engineering initiatives and collaborations aiming for technological advancements.
Duke University • Durham, NC
Leading research initiatives in Electrical and Computer Engineering, focusing on Artificial Intelligence and signal processing.
Department of Biomedical Engineering (MS program)