Hasib-Al-Rashid

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 8

Top Topics

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Hasib-Al-Rashid, Pretom Roy Ovi, Aryya Gangopadhyay, Tinoosh Mohsenin
Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices. CoRR (2022)
Mohit Khatwani, Hasib-Al-Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin
A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17 (2) (2021)
Arnab Neelim Mazumder, Jian Meng, Hasib-Al-Rashid, Utteja Kallakuri, Xin Zhang, Jae-Sun Seo, Tinoosh Mohsenin
A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Hasib-Al-Rashid, Arnab Neelim Mazumder, Utteja Panchakshara Kallakuri Niyogi, Tinoosh Mohsenin
CoughNet: A Flexible Low Power CNN-LSTM Processor for Cough Sound Detection. AICAS (2021)
Haoran Ren, Arnab Neelim Mazumder, Hasib-Al-Rashid, Vandana Chandrareddy, Aidin Shiri, Nitheesh Kumar Manjunath, Tinoosh Mohsenin
End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection. SoCC (2020)
Morteza Hosseini, Haoran Ren, Hasib-Al-Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information. CoRR (2020)
Hasib-Al-Rashid, Nitheesh Kumar Manjunath, Hirenkumar Paneliya, Morteza Hosseini, W. David Hairston, Tinoosh Mohsenin
A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection. ISQED (2020)
Arnab Neelim Mazumder, Hasib-Al-Rashid, Tinoosh Mohsenin
An Energy-Efficient Low Power LSTM Processor for Human Activity Monitoring. SoCC (2020)