Avishek Biswas

Orcid: 0000-0002-7964-7020

According to our database1, Avishek Biswas authored at least 10 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
An area-efficient 6T-SRAM based Compute-In-Memory architecture with reconfigurable SAR ADCs for energy-efficient deep neural networks in edge ML applications.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2022

2021
Motor Babble: Morphology-Driven Coordinated Control of Articulated Characters.
Proceedings of the MIG '21: Motion, 2021

Neural Network Based Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2019
CONV-SRAM: An Energy-Efficient SRAM With In-Memory Dot-Product Computation for Low-Power Convolutional Neural Networks.
IEEE J. Solid State Circuits, 2019

2018
Energy-efficient smart embedded memory design for IoT and AI.
PhD thesis, 2018

Conv-RAM: An energy-efficient SRAM with embedded convolution computation for low-power CNN-based machine learning applications.
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

2017
An offset-cancelling four-phase voltage sense amplifier for resistive memories in 14nm CMOS.
Proceedings of the 2017 IEEE Custom Integrated Circuits Conference, 2017

2016
A 0.36V 128Kb 6T SRAM with energy-efficient dynamic body-biasing and output data prediction in 28nm FDSOI.
Proceedings of the ESSCIRC Conference 2016: 42<sup>nd</sup> European Solid-State Circuits Conference, 2016

2015
A 28 nm FDSOI Integrated Reconfigurable Switched-Capacitor Based Step-Up DC-DC Converter With 88% Peak Efficiency.
IEEE J. Solid State Circuits, 2015

2014
A 28nm FDSOI integrated reconfigurable switched-capacitor based step-up DC-DC converter with 88% peak efficiency.
Proceedings of the ESSCIRC 2014, 2014


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