Sima Sinaei, Post Doc


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Latest publications:

ELC-ECG: Efficient LSTM Cell for ECG Classification based on Quantized Architecture (May 2021)
Seyed Ahmad Mirsalari , Najmeh Nazari , Sima Sinaei, Mostafa Salehi , Masoud Daneshtalab
IEEE International Symposium on Circuits & Systems (ISCAS)

MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification (Oct 2020)
Seyed Ahmad Mirsalari , Sima Sinaei, Mostafa Salehi , Masoud Daneshtalab
IEEE International Symposium on Circuits & 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, Mostafa Salehi , 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)