Arman Roohi
University of Nebraska - Lincoln, USA
Biography
Arman Roohi (S’22) is currently an assistant professor with the School of Computing, University of Nebraska-Lincoln, USA, and the director of the Intelligent Device-2–Applications Laboratory (iDEA-Lab). Before joining UNL in 2020, he was a postdoctoral research fellow at the University of Texas at Austin. He received his Ph.D. in Computer Engineering at the University of Central Florida, Orlando, FL, USA, in 2019. His research interests span the areas of cross-layer co-design for implementing complex machine learning tasks and secure computation, including hardware security and the security of artificial intelligence, reconfigurable and adaptive computer architectures, and beyond CMOS computing. He has completed over 60 publications on these topics, including best paper recognition, book chapters, and STEM curricular development. He received Ph.D. Forum at DAC 2018 Scholarship, Frank Hubbard Engineering Endowed Scholarship in 2018, best paper recognition in IEEE Transactions on Emerging Topics in Computing in 2019, and paper of the month at IEEE Transactions on Computers in 2017. Arman Roohi (S’22) is currently an assistant professor with the School of Computing, University of Nebraska-Lincoln, USA, and the director of the Intelligent Device-2–Applications Laboratory (iDEA-Lab). Before joining UNL in 2020, he was a postdoctoral research fellow at the University of Texas at Austin. He received his Ph.D. in Computer Engineering at the University of Central Florida, Orlando, FL, USA, in 2019. His research interests span the areas of cross-layer co-design for implementing complex machine learning tasks and secure computation, including hardware security and the security of artificial intelligence, reconfigurable and adaptive computer architectures, and beyond CMOS computing. He has completed over 60 publications on these topics, including best paper recognition, book chapters, and STEM curricular development. He received Ph.D. Forum at DAC 2018 Scholarship, Frank Hubbard Engineering Endowed Scholarship in 2018, best paper recognition in IEEE Transactions on Emerging Topics in Computing in 2019, and paper of the month at IEEE Transactions on Computers in 2017.
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