Arman Roohi is currently an assistant professor at the School Computing, University of Nebraska-Lincoln, USA, where he is the director of the Intelligent Device-2–Applications (iDEA) Laboratory. Before joining UNL in 2020, he was a postdoctoral research fellow with UT Design Automation Laboratory, 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 design of cross-layer (device/ circuit/ architecture) co-design for implementing complex machine learning tasks, secure computation, including hardware security, and the security of artificial intelligence, reconfigurable and adaptive computer architectures, and beyond CMOS computing, with emphasis on Spintronics.
Sepehr Tabrizchi is currently a Ph.D. student at the School of Computing, University of Nebraska-Lincoln, USA. He received a master's degree in computer systems architecture from Azad University, Science and Research Branch, Tehran, Iran, in 2018 and a Bachelor of Engineering degree in computer engineering from the Azad University Najafabad Branch, Iran. His research interests include processing-in-memory (PIM), in-sensor computing, VLSI design, non-volatile memories, and brain-inspired (neuromorphic) computing.
Nedasadat Taheri is currently a Ph.D. student at the School of Computing, University of Nebraska-Lincoln, USA. She received a bachelor's degree in Electrical Engineering from Shahid Beheshti University, Tehran, Iran in 2019. Her research interests include VLSI circuit design, intermittent computing, and non-volatile memories.
Rebati Raman Gaire is currently a Master’s Student at the School of Computing, University of Nebraska-Lincoln, USA. He received a Bachelor’s degree in Computer Engineering from IOE, Pulchowk Campus, Nepal, in 2021. His research interest includes Machine Learning and Computer Vision. At the iDEA lab, he is researching on optimization of computation models for efficient deployment on edge devices.
Rebati Raman Gaire
William (Mike) Turner develops software to automate, instrument, and build systems for technical challenges and educational opportunities in robotics. He focuses on robot interactions to solve complex problems between robots, humans, and other intelligent agents. To that end, he is researching neural network acceleration within the iDEA Lab to enable better safety and performance of robots on construction sites.
William (Mike) Turner
Undergraduate Research Assistants
Ricardo Canovas is heading into his last year of college at California State University, San Bernardino, in computer engineering. His interest research area is hardware with programming implementations, specifically, programming in FPGAs, especially on neural networks.
Since (June 2022-Aug 2022)