Hasib-Al Rashid

According to our database, Hasib-Al Rashid authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., May, 2024

TinyM²Net-V3: Memory-Aware Compressed Multimodal Deep Neural Networks for Sustainable Edge Deployment.

Hasib-Al Rashid, Tinoosh Mohsenin

CoRR, 2024

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

2023

HAC-POCD: Hardware-Aware Compressed Activity Monitoring and Fall Detector Edge POC Devices.

Hasib-Al Rashid, Tinoosh Mohsenin

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

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, Tinoosh Mohsenin

ACM Trans. Design Autom. Electr. Syst., 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

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

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

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, Jae-Sun Seo, Tinoosh Mohsenin

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection.

Hasib-Al Rashid, Arnab Neelim Mazumder, Utteja Panchakshara Kallakuri Niyogi, Tinoosh Mohsenin

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

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

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

Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020

An Energy-Efficient Low Power LSTM Processor for Human Activity Monitoring.

Arnab Neelim Mazumder, Hasib-Al Rashid, Tinoosh Mohsenin

Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020

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

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020