A multi-bit error tolerant register file for a high reliable embedded processor. - Siamak Esmaeeli; Morteza Hosseini; Bijan Vosoughi Vahdat; Bizhan Rashidian (ICECS, 2011)

An Apta-Biosensor for Colon Cancer Diagnostics. - Mojgan Ahmadzadeh-Raji; Ghasem Amoabediny; Parviz Tajik; Morteza Hosseini; Ebrahim Ghafar-Zadeh (Sensors, 2015)

A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms. - Morteza Hosseini; Rashidul Islam; Amey M. Kulkarni; Tinoosh Mohsenin (FCCM, 2017)

Energy Efficient Convolutional Neural Networks for EEG Artifact Detection. - Mohit Khatwani; Morteza Hosseini; Hirenkumar Paneliya; Tinoosh Mohsenin; W. David Hairston; Nicholas R. Waytowich (BioCAS, 2018)

BiNMAC: Binarized neural Network Manycore ACcelerator. - Ali Jafari; Morteza Hosseini; Adwaya Kulkarni; Chintan Patel; Tinoosh Mohsenin (ACM Great Lakes Symposium on VLSI, 2018)

MC3A: Markov Chain Monte Carlo ManyCore Accelerator. - Lahir Marni; Morteza Hosseini; Tinoosh Mohsenin (ACM Great Lakes Symposium on VLSI, 2018)

A Real-Time Wearable FPGA-based Seizure Detection Processor Using MCMC. - Lahir Marni; Morteza Hosseini; Jennifer Hopp; Pedram Mohseni; Tinoosh Mohsenin (ISCAS, 2018)

A Scalable and Low Power DCNN for Multimodal Data Classification. - Ali Jafari; Morteza Hosseini; Houman Homayoun; Tinoosh Mohsenin (ReConFig, 2018)

MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers. - Morteza Hosseini; Rashidul Islam; Lahir Marni; Tinoosh Mohsenin (SoCC, 2018)

On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers. - Morteza Hosseini; Mark Horton; Hiren Paneliya; Uttej Kallakuri; Houman Homayoun; Tinoosh Mohsenin (DAC, 2019)

A Probabilistic Method to Find and Visualize Distinct Regions in Protein Sequences. - Morteza Hosseini; Diogo Pratas; Armando J. Pinho (EUSIPCO, 2019)

Minimizing Classification Energy of Binarized Neural Network Inference for Wearable Devices. - Morteza Hosseini; Hirenkumar Paneliya; Utteja Kallakuri; Mohit Khatwani; Tinoosh Mohsenin (ISQED, 2019)

A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection. - Hasib-Al Rashid; Nitheesh Kumar Manjunath; Hirenkumar Paneliya; Morteza Hosseini; W. David Hairston; Tinoosh Mohsenin (ISQED, 2020)

CSCMAC - Cyclic Sparsely Connected Neural Network Manycore Accelerator. - Hirenkumar Paneliya; Morteza Hosseini; Avesta Sasan; Houman Homayoun; Tinoosh Mohsenin (ISQED, 2020)

Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information. - Morteza Hosseini; Haoran Ren; Hasib-Al Rashid; Arnab Neelim Mazumder; Bharat Prakash; Tinoosh Mohsenin (CoRR, 2020)

2021 Roadmap on Neuromorphic Computing and Engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (CoRR, 2021)

The chemical space of terpenes: insights from data science and AI. - Morteza Hosseini; David M. Pereira (CoRR, 2021)

QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI. - Morteza Hosseini; Tinoosh Mohsenin (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Binary Precision Neural Network Manycore Accelerator. - Morteza Hosseini; Tinoosh Mohsenin (ACM J. Emerg. Technol. Comput. Syst., 2021)

An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning. - Nitheesh Kumar Manjunath; Aidin Shiri; Morteza Hosseini; Bharat Prakash; Nicholas R. Waytowich; Tinoosh Mohsenin (IEEE Open J. Circuits Syst., 2021)

Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks. - Morteza Hosseini; Nitheesh Kumar Manjunath; Bharat Prakash; Arnab Neelim Mazumder; Vandana Chandrareddy; Houman Homayoun; Tinoosh Mohsenin (IEEE Trans. Very Large Scale Integr. Syst., 2021)

An Improved Energy-Aware Routing Protocol Using Multiobjective Particular Swarm Optimization Algorithm. - Zhihao Peng 005; Mehdi Sajedi Jabloo; Yahya Dorostkar Navaei; Morteza Hosseini; Rozita Jamili Oskouei; Poria Pirozmand; Seyed Saeid Mirkamali (Wirel. Commun. Mob. Comput., 2021)

Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor. - Arnab Neelim Mazumder; Haoran Ren; Hasib-Al Rashid; Morteza Hosseini; Vandana Chandrareddy; Houman Homayoun; Tinoosh Mohsenin (IEEE Des. Test, 2022)

2022 roadmap on neuromorphic computing and engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (Neuromorph. Comput. Eng., 2022)