Seyedhamidreza Mousavi, Doctoral student
I’m a computer science PhD student at Mälardalen University.
I’m broadly interested in machine learning and computer vision. Currently, my research focuses on the automatic design of safe, high-performance, and compact deep learning models.
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping (Apr 2022) Seyedhamidreza Mousavi International Symposium on Quality Electronic Design (ISQED)
TAS:Ternarized Neural Architecture Search for Resource-Constrained Edge Devices (Mar 2022) Mohammad Loni, Seyedhamidreza Mousavi, Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin Design, Automation and Test in Europe Conference (DATE'22)
Aadam: A Fast, Accurate, and Versatile Aging-Aware Cell Library Delay Model using Feed-Forward Neural Network (Nov 2020) Seyedhamidreza Mousavi IEEE/ACM International Conference On Computer Aided Design (ICCAD 2020)