Resume: Sahidul Islam
Assistant Professor
Email: sislam19[@]kennesaw[.]edu
Interest
Music, Nature, ExploreAffiliation
Peer Reviewed Journal and Conference Publication
TCAD
Intermittent OTA Code Update Framework for Tiny Energy Harvesting Devices [PDF]
Wei Wei; Chen Pan, Sahidul Islam, Jishnu Banerjee, Shyamala Palanisamy and Mimi Xie.
Accepted In TCAD, 2024.
Wei Wei; Chen Pan, Sahidul Islam, Jishnu Banerjee, Shyamala Palanisamy and Mimi Xie.
Accepted In TCAD, 2024.
ISVLSI'24
Energy-Aware Incremental OTA Update for Flash-based Batteryless IoT Devices [PDF]
Wei Wei, Jishnu Banerjee, Sahidul Islam, Chen Pan and Mimi Xie.
Accepted In ISVLSI, 2024.
Wei Wei, Jishnu Banerjee, Sahidul Islam, Chen Pan and Mimi Xie.
Accepted In ISVLSI, 2024.
GLSVLSI'24
Autotile: Autonomous Task-tiling for Deep Inference on Battery-less Embedded System [PDF]
Banerjee, Jishnu; Sahidul Islam, Wei Wei, Chen Pan and Mimi Xie
In Proceedings of the Great Lakes Symposium on VLSI 2024 (GLSVLSI ’24). Association for Computing Machinery, New York, NY, USA, 323–327.
Banerjee, Jishnu; Sahidul Islam, Wei Wei, Chen Pan and Mimi Xie
In Proceedings of the Great Lakes Symposium on VLSI 2024 (GLSVLSI ’24). Association for Computing Machinery, New York, NY, USA, 323–327.
ISQED'24
Deep Learning Based IoT System for Real-time Traffic Risk Notification [PDF]
Islam, Sahidul; Seth Klupka, Ramin Mohammadi, Yufang-Jin and Mimi Xie.
In 25th International Symposium on Quality Electronic Design (ISQED), pp. 1-6. IEEE, 2024.
Islam, Sahidul; Seth Klupka, Ramin Mohammadi, Yufang-Jin and Mimi Xie.
In 25th International Symposium on Quality Electronic Design (ISQED), pp. 1-6. IEEE, 2024.
ISQED'23
A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller. [PDF]
Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam, Sheida Nabavi, Mimi Xie and Caiwen Ding.
In 24th International Symposium on Quality Electronic Design (ISQED), San Francisco, CA, USA, 2023.
Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam, Sheida Nabavi, Mimi Xie and Caiwen Ding.
In 24th International Symposium on Quality Electronic Design (ISQED), San Francisco, CA, USA, 2023.
ICCAD'22
EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System. [PDF]
Islam, Sahidul; Shanglin Zhou, Ran Ran, Yu-Fang Jin, Wujie Wen, Caiwen Ding, and Mimi Xie
In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, pp. 1-9. 2022.
(Acceptance Rate 22%, Csranking)
Islam, Sahidul; Shanglin Zhou, Ran Ran, Yu-Fang Jin, Wujie Wen, Caiwen Ding, and Mimi Xie
In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, pp. 1-9. 2022.
(Acceptance Rate 22%, Csranking)
DATE'22
Enabling fast deep learning on tiny energy-harvesting IoT devices. [PDF]
Islam, Sahidul; Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, and Mimi Xie.
In 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 921-926. IEEE, 2022.
(Acceptance Rate 25%)
Islam, Sahidul; Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, and Mimi Xie.
In 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 921-926. IEEE, 2022.
(Acceptance Rate 25%)
ISQED'22
An Intermittent OTA Approach to Update the DL Weights on Energy Harvesting Devices. [PDF]
Wei, Wei, Sahidul Islam, Jishnu Banerjee, Shanglin Zhou, Chen Pan, Caiwen Ding, and Mimi Xie.
In 2022 23rd International Symposium on Quality Electronic Design (ISQED), pp. 1-6. IEEE, 2022.
Wei, Wei, Sahidul Islam, Jishnu Banerjee, Shanglin Zhou, Chen Pan, Caiwen Ding, and Mimi Xie.
In 2022 23rd International Symposium on Quality Electronic Design (ISQED), pp. 1-6. IEEE, 2022.
ASAP'21
Memory-aware efficient deep learning mechanism for iot devices. [PDF]
Banerjee, Jishnu, Sahidul Islam, Wei Wei, Chen Pan, Dakai Zhu, and Mimi Xie.
In 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), pp. 187-194. IEEE, 2021.
Banerjee, Jishnu, Sahidul Islam, Wei Wei, Chen Pan, Dakai Zhu, and Mimi Xie.
In 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), pp. 187-194. IEEE, 2021.
ASAP'21
Binary complex neural network acceleration on fpga. [PDF]
Peng, Hongwu, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li et al.
In 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), pp. 85-92. IEEE, 2021.
Peng, Hongwu, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li et al.
In 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), pp. 85-92. IEEE, 2021.
Manuscript Under Review
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Scalable Multi-Task Deep Inference on Resource Constrained Device.
Islam, Sahidul, Shanglin Zhou, Bin Lei, Caiwen Ding, and Mimi Xie
Manuscript Under Preperation
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MetaDNN: Forecasting DNN Precision for On-device Inference with Cloud Collaboration
Islam, Sahidul, Jishnu Banerjee, Alejandro villanueva and Mimi Xie -
Shared-weight DNN Design to Achieve Environment Adaptvity for Resource Constrained System.
Sahidul Islam and Mimi Xie.