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)

An Energy-Efficient Low Power LSTM Processor for Human Activity Monitoring. - Arnab Neelim Mazumder; Hasib-Al Rashid; Tinoosh Mohsenin (SoCC, 2020)

End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection. - Haoran Ren; Arnab Neelim Mazumder; Hasib-Al Rashid; Vandana Chandrareddy; Aidin Shiri; Nitheesh Kumar Manjunath; Tinoosh Mohsenin (SoCC, 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)

CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection. - Hasib-Al Rashid; Arnab Neelim Mazumder; Utteja Panchakshara Kallakuri Niyogi; Tinoosh Mohsenin (AICAS, 2021)

A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference. - Arnab Neelim Mazumder; Jian Meng; Hasib-Al Rashid; Utteja Kallakuri; Xin Zhang 025; Jae-Sun Seo; Tinoosh Mohsenin (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. - Mohit Khatwani; Hasib-Al Rashid; Hirenkumar Paneliya; Mark Horton; Nicholas R. Waytowich; W. David Hairston; Tinoosh Mohsenin (ACM J. Emerg. Technol. Comput. Syst., 2021)

TinyM2Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices. - Hasib-Al Rashid; Pretom Roy Ovi; Aryya Gangopadhyay; Tinoosh Mohsenin (CoRR, 2022)

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)

E2HRL: An Energy-efficient Hardware Accelerator for Hierarchical Deep Reinforcement Learning. - Aidin Shiri; Uttej Kallakuri; Hasib-Al Rashid; Bharat Prakash; Nicholas R. Waytowich; Tim Oates 001; Tinoosh Mohsenin (ACM Trans. Design Autom. Electr. Syst., 2022)

HAC-POCD: Hardware-Aware Compressed Activity Monitoring and Fall Detector Edge POC Devices. - Hasib-Al Rashid; Tinoosh Mohsenin (BioCAS, 2023)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices. - Hasib-Al Rashid; Argho Sarkar; Aryya Gangopadhyay; Maryam Rahnemoonfar; Tinoosh Mohsenin (CoRR, 2024)

TinyM2Net-V3: Memory-Aware Compressed Multimodal Deep Neural Networks for Sustainable Edge Deployment. - Hasib-Al Rashid; Tinoosh Mohsenin (CoRR, 2024)

TinyM2Net-V2: A Compact Low-power Software Hardware Architecture for Multimodal Deep Neural Networks. - Hasib-Al Rashid; Utteja Kallakuri; Tinoosh Mohsenin (ACM Trans. Embed. Comput. Syst., 2024)

Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning. - Ziyuan Bao; Eiman Kanjo; Soumya Banerjee; Hasib-Al Rashid; Tinoosh Mohsenin (CoRR, 2025)