50 citations · 106 across the 8 of their papers we have counts for
9 papers
Approximate Logic Synthesis Using BLASYS
Jingxiao Ma, Soheil Hashemi, Sherief Reda
Approximate computing is an emerging paradigm where design accuracy can be traded for improvements in design metrics such as design area and power consumption. In this work, we ove…
EEGsig: an open-source machine learning-based toolbox for EEG signal processing
Fardin Ghorbani, Javad Shabanpour, Sepideh Monjezi +3
In the quest to realize a comprehensive EEG signal processing framework, in this paper, we demonstrate a toolbox and graphic user interface, EEGsig, for the full process of EEG sig…
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
Abdelrahman Hosny, Soheil Hashemi, Mohamed Shalan +1
Logic synthesis requires extensive tuning of the synthesis optimization flow where the quality of results (QoR) depends on the sequence of optimizations used. Efficient design spac…
Noninvasive Blockade of Action Potential by Electromagnetic Induction
Soheil Hashemi, Amirhossein Hajiaghajani, Ali Abdolali
Conventional anesthesia methods such as injective anesthetic agents may cause various side effects such as injuries, allergies, and infections. We aim to investigate a noninvasive…
BLASYS: Approximate Logic Synthesis Using Boolean Matrix Factorization
Soheil Hashemi, Hokchhay Tann, Sherief Reda
Approximate computing is an emerging paradigm where design accuracy can be traded off for benefits in design metrics such as design area, power consumption or circuit complexity. I…
Flexible Deep Neural Network Processing
Hokchhay Tann, Soheil Hashemi, Sherief Reda
The recent success of Deep Neural Networks (DNNs) has drastically improved the state of the art for many application domains. While achieving high accuracy performance, deploying s…