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Mahdi Imani is currently an assistant professor with the Department of Electrical and Computer Engineering, George Washington University, Washington, DC, USA. His research interests include machine learning, Bayesian statistics and decision theory, with a wide range of applications from computational biology to cyber–physical systems. He received the Ph.D. degree in electrical and computer engineering from Texas A&M University, College Station, TX, USA, in 2019. He is the recipient of the Association of Former Students Distinguished Graduate Student Award for Excellence in Research-Doctoral in 2019, the Best Ph.D. Student Award in the ECE Department, Texas A&M University, in 2015, and a single finalist nominee of the ECE Department for the Outstanding Graduate Student Award in College of Engineering, Texas A&M University, in 2018. He is also a recipient of the Best Paper Finalist award from the 49th Asilomar Conference on Signals, Systems, and Computers, 2015. He is the corresponding author of this article. Contact him at mimani@gwu.edu.
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Seyed Hamid Hosseini,Mahdi Imani
IEEE/ACM transactions on computational biology and bioinformaticsno. 99 (2024): 1-13
Systems Science & Control Engineeringno. 1 (2024)
arxiv(2024)
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2023 IEEE CONFERENCE ON ARTIFICIAL INTELLIGENCE, CAI (2023): 282-284
ACC (2023): 3957-3964
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Seyed Hamid Hosseini,Mahdi Imani
2023 IEEE Conference on Artificial Intelligence (2023): 285-287
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