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Presenter

Biography
Shaahin Angizi received his Ph.D. in Electrical Engineering at the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, in 2021. He has authored and co-authored +70 research papers in top-ranked international journals such as IEEE TNANO, IEEE TCAD, IEEE TC, IEEE TCASI, IEEE TETC, IEEE TMAG, etc., and top-tier EDA conferences including, DAC, DATE, ICCAD, ASP-DAC, ICCD, etc. He is the recipient of the Best Ph.D. Poster Award (1st-place) of 2018 Ph.D. Forum at Design Automation Conference (DAC), two Best Paper Awards of IEEE Computer Society Annual Symposium on VLSI (ISVLSI) in 2017 and 2018, and the Best Paper Award of ACM Great Lakes Symposium on VLSI (GLSVLSI) in 2019. His primary research interests include In-Memory Computing Based on Volatile & Non-Volatile Memories, Accelerator Design for Deep Neural Networks, Bioinformatics, Graph Processing, and Low Power and Area-efficient In-Sensor Computing for IoT.
Presentations
Research Manuscript
Embedded Systems
Near-Memory and In-Memory Computing
Hosted in Virtual Platform
Research Manuscript
Embedded Systems
Near-Memory and In-Memory Computing
Hosted in Virtual Platform