Sima Sinaei, Post Doc


[Show all publications]

Latest publications:

MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification (Oct 2020)
Seyed Ahmad Mirsalari , Sima Sinaei, M Ersali, Masoud Daneshtalab
IEEE transaction on circuits and Systems (ISCAS)

Hardware Acceleration for Recurrent Neural Networks (May 2020)
Sima Sinaei, Masoud Daneshtalab
Institution of Engineering and Technology (IET)

DPAC Newsletter Spring 2020 (May 2020)
Kristina Lundqvist, Mikael Sjödin, Saad Mubeen, Håkan Forsberg, Mikael Ekström, Cristina Seceleanu, Nandinbaatar Tsog, Jakob Danielsson, Mohammad Loni, Baran Çürüklü, LanAnh Trinh, Afshin Ameri E., Luciana Provenzano, Kaj Hänninen, Susanne Fronnå, Marjan Sirjani, Rong Gu, Masoud Daneshtalab, Sima Sinaei, Joakim Lindén

Multi-level Binarized LSTM in EEG Classification for Wearable Devices (Mar 2020)
Najmeh Nazari , Seyed Ahmad Mirsalari , Sima Sinaei, M Ersali, Masoud Daneshtalab
in Proceedings of 28th IEEE Euromicro Conference on Parallel, Distributed and Network-Based Computing (PDP'20)

DeepMaker: A Multi-Objective Optimization Framework for Deep Neural Networks in Embedded Systems (Jan 2020)
Mohammad Loni, Sima Sinaei, Ali Zoljodi , Masoud Daneshtalab, Mikael Sjödin
Elsevier journal of Microprocessors and Microsystems (MICPRO)

NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems (Sep 2019)
Mohammad Loni, Ali Zoljodi , Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin
The 28th International Conference on Artificial Neural Networks (ICANN 2019)