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Vahid Tarokh is a renowned researcher in the field of Electrical and Computer Engineering, focusing on innovative methods and applications in artificial intelligence, machine learning, and signal processing. He is currently the Rhodes Family Distinguished Professor at Duke University, where he has contributed significantly to the advancement of methodologies that leverage data-driven approaches for complex systems. His research spans various topics including foundations of AI, learning representations, transfer learning, and meta-learning, as well as applied areas like hypothesis testing and optimization. Tarokh's work is characterized by an emphasis on developing algorithms that integrate theoretical insights with practical implementation, making significant contributions to understanding dependencies in data and improving predictive performance in machine learning models. He has been recognized for his contributions to the field through numerous awards, including being elected to the National Academy of Engineering in 2019. Tarokh has actively published works in leading journals and conferences, showcasing his extensive knowledge and innovative approaches to engineering problems.
Department of Biomedical Engineering (MS program)