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Prof Debanjan Bhowmik

vidwan id: 70329
Male

Assistant Professor, Department of Electrical Engineering
Indian Institute of Technology Delhi

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 45
Books 0
Proceedings 0

Publications

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Scopus

Citations 1128
h-index 12

CrossRef

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Citations 683
h-index 8
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Bio

Magnetism, Spintronics, Micromagnetics, Memory devices, Condensed Matter Physics

Personal Details

  • Male
  • Assistant Professor , Indian Institute of Technology Delhi
  • Indian Institute of Technology Delhi, Hauz Khas
Ph.D.
Other Institute 2015
Assistant Professor Jan 2017 – Present
Indian Institute of Technology Delhi | Department of Electrical Engineering

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Scholarly Work

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Scholarly Publications

On-Chip Learning in Spintronics-Based Spiking Neural Network for Handwritten Digit Recognition

Open Access
Conference Paper
Authors: Sahu U.;Goyal K.;Bhowmik D.

Comparing domain wall synapse with other non volatile memory devices for on-chip learning in analog hardware neural network

Open Access
Article
Authors: Kaushik D.;Singh U.;Sahu U.;Sreedevi I.;Bhowmik D.
10

Comparing domain wall synapse with other non volatile memory devices for on-chip learning in analog hardware neural network

Open Access
Article
Authors: Kaushik D.;Singh U.;Sahu U.;Sreedevi I.;Bhowmik D.

Supervised learning with a quantum classifier using multi-level systems

Open Access
Article

Synapse cell optimization and back-propagation algorithm implementation in a domain wall synapse based crossbar neural network for scalable on-chip learning

Open Access
Article

On-chip learning for domain wall synapse based Fully Connected Neural Network

Open Access
Article
Authors: Bhowmik D.;Saxena U.;Dankar A.;Verma A.;Kaushik D.;Chatterjee S.;Singh U.

On-chip learning in a conventional silicon mosfet based analog hardware neural network

Open Access
Conference Paper
Authors: Dey N.;Sharda J.;Saxena U.;Kaushik D.;Singh U.;Bhowmik D.

Spike time dependent plasticity (STDP) enabled learning in spiking neural networks using domain wall based synapses and neurons

Open Access
Article
Authors: Sahu U.;Pandey A.;Goyal K.;Bhowmik D.