Aadam: A Fast, Accurate, and Versatile Aging-Aware Cell LibraryDelay Model using Feed-Forward Neural Network
Seyed Milad Ebrahimipour, Behnam Ghavami,Hamid Mousavi, Mohsen Raji, ZhenmanFang, Lesley Shanno
ICCAD 2020
I am currently a PhD student at Malardalan University. My main interests lie in machine learning and computer vision. Right now, my research is focused on creating deep learning models that are both high-performing and compact, while also ensuring their safety. I am also interested in the intersection of tiny deep neural networks and important factors like trustworthiness, adversarial attacks, reliability, and fairness. This means I study how deep learning models can be vulnerable to attacks and work on developing ways to make them more robust. Additionally, I am passionate about making sure that these models are fair in their decision-making processes.
Seyed Milad Ebrahimipour, Behnam Ghavami,Hamid Mousavi, Mohsen Raji, ZhenmanFang, Lesley Shanno
ICCAD 2020
Hamid Mousavi, Mahdi Eftekhari, Behnam Ghavami.
CSICC 2018
Hamid Mousavi, Mahdi Eftekhari, Behnam Ghavami.
Electronics Industries Journal, 2020.
Hamid Mousavi, Mahdi Eftekhari, Behnam Ghavami
CICIS 2019.
Behnam Ghavami, Hamid Mousavi, Zhenman Fang, Lesley Shannon
ISQED 2022 WIP
Mohammad Loni, Hamid Mousavi, Mohammad Riazati , Masoud Daneshtalab and Mikael Sjodin
DATE 2022
H Mousavi, M Loni, M Alibeigi, M Daneshtalab
arXiv preprint 2022
H Mahini, H Mousavi, M Daneshtalab
arXiv preprint 2022