MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG Signal Classification. - Seyed Ahmad Mirsalari; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (ISCAS, 2020)

Multi-level Binarized LSTM in EEG Classification for Wearable Devices. - Najmeh Nazari; Seyed Ahmad Mirsalari; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (PDP, 2020)

ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture. - Seyed Ahmad Mirsalari; Najmeh Nazari; Seyed Ali Ansarmohammadi; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (ISCAS, 2021)

E2BNet: MAC-free yet accurate 2-level binarized neural network accelerator for embedded systems. - Seyed Ahmad Mirsalari; Najmeh Nazari; Seyed Ali Ansarmohammadi; Mostafa E. Salehi; Soheil Ghiasi (J. Real Time Image Process., 2021)

FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks. - Seyed Ahmad Mirsalari; Najmeh Nazari; Sima Sinaei; Mostafa E. Salehi; Masoud Daneshtalab (IEEE Des. Test, 2022)

TransLib: A Library to Explore Transprecision Floating-Point Arithmetic on Multi-Core IoT End-Nodes. - Seyed Ahmad Mirsalari; Giuseppe Tagliavini; Davide Rossi; Luca Benini (DATE, 2023)

Optimizing Self-Organizing Maps for Bacterial Genome Identification on Parallel Ultra-Low-Power Platforms. - Seyed Ahmad Mirsalari; Saba Yousefzadeh; Giuseppe Tagliavini; Dimitrios Stathis 001; Ahmed Hemani (ICECS, 2023)

MONO: Enhancing Bit-Flip Resilience With Bit Homogeneity for Neural Networks. - Maryam Eslami; Yuhao Liu; Salim Ullah; Mostafa E. Salehi; Reshad Hosseini; Seyed Ahmad Mirsalari; Akash Kumar 001 (IEEE Embed. Syst. Lett., 2024)