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Dr Mrigank Sharad

vidwan id: 158421
Male

Assistant Professor (Grade-I), Rajendra Mishra School of Engineering Entrepreneurship
Indian Institute of Technology Kharagpur

Expertise

  • Computer Science Information Systems

Publications

Total Articles 62
Books 0
Proceedings 0

Publications

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Scopus

Citations 945
h-index 15

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Citations 0
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Professional Recognition

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Community & Membership

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Bio

Nanoelectronics and VLSI Design (Digital/Mixed-Signal Circuit/Architecture),Application Specific Signal Processing,Bioelectronics and Neuromorphic Computing, Spintronics (Spin Memory and Logic)

Personal Details

  • Male
  • Assistant Professor (Grade-I) , Indian Institute of Technology Kharagpur
  • Department of Rajendra Mishra School of Engg Entrepreneurship, IIT Kharagpur
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Assistant Professor (Grade-I) Jan 2015 – Present
Indian Institute of Technology Kharagpur | Rajendra Mishra School of Engineering Entrepreneurship

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Scholarly Work

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Scholarly Publications

Classification of Hand Movements by Surface Myoelectric Signal Using Artificial-Spiking Neural Network Model

Open Access
Conference Paper
Authors: Mukhopadhyay A.;Chakrabarti I.;Sharad M.

STT-MRAM for low power access for read-intensive parallel deep-learning architectures

Open Access
Conference Paper
Authors: Chattopadhyay S.;Brahma K.;Ray A.;Sharad M.

Variation aware performance analysis of TFETs for low-voltage computing

Open Access
Conference Paper
Authors: Sehwag V.;Maji S.;Sharad M.

Ultra Low Power Sensor Node for Security Applications, Facilitated by Algorithm-Architecture Co-design

Open Access
Conference Paper
Authors: Sharma S.;Mukherjee A.;Dongre A.;Sharad M.

Low Power Implantable Spike Sorting Scheme Based on Neuromorphic Classifier with Supervised Training Engine

Open Access
Conference Paper
Authors: Pathak R.;Dash S.;Mukhopadhyay A.K.;Basu A.;Sharad M.

Low Power Image Acquisition Scheme Using On-Pixel Event Driven Halftoning

Open Access
Conference Paper

Digitally assisted analog processing unit for MPG based wearable device

Open Access
Conference Paper

Real-time digitized neural-spike storage scheme in multiple channels for biomedical applications

Open Access
Conference Paper