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Dr Rahul Shrestha

vidwan id: 113371
Male

Associate Professor, School of Computing and Electrical Engineering
Indian Institute of Technology Mandi

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 67
Books 0
Proceedings 0

Publications

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Scopus

Citations 611
h-index 12

CrossRef

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Citations 397
h-index 10
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Professional Recognition

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Bio

VLSI Design and Circuits and Systems for Signal Processing and Wireless Communication

Personal Details

  • Male
  • Associate Professor , Indian Institute of Technology Mandi
  • Indian Institute of Technology Mandi, Kamand Campus
Ph.D
Other Institute 2014
Associate Professor Dec 2016 – Present
Indian Institute of Technology Mandi | School of Computing and Electrical Engineering

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Co-Authors (6)

Rohit Buddhiram

Dr Rohit Buddhiram Chaurasiya

Indian Institute of Technology Jammu

Roy Paily

Prof Roy Paily Palathinkal

Indian Institute of Technology Guwahati

Satinder Kumar

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Scholarly Work

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Scholarly Publications

Reconfigurable and Hardware-Efficient KECCAK Architecture with SHAKE Integration and Dynamic Input Processing for Post Quantum Cryptography

Open Access
Conference Paper
Authors: Chauhan S.;Shrestha R.

CRIS-b: A High-Speed Unified Modulo Reduction Algorithm and Hardware Architecture for CRYSTALS-Kyber

Open Access
Conference Paper

Energy-Preserving Indirect-feedback for Wireless Power Transfer: Algorithm & Hardware Architecture

Open Access
Article

Ultra-Low Sensing-Time and Hardware-Efficient Spectrum Sensor for Data Fusion-Based Cooperative Cognitive-Radio Network

Open Access
Article

A New Hardware-Efficient and Low Sensing-Time Cooperative Spectrum-Sensor for High-Throughput Cognitive-Radio Network

Open Access
Article

VLSI Architectures and Hardware Implementation of Ultra Low-Latency and Area-Efficient Pietra-Ricci Index Detector for Spectrum Sensing

Open Access
Article

Energy-Efficient and High-Throughput CNN Inference Engine Based on Memory-Sharing and Data-Reusing for Edge Applications

Open Access
Article

Low-Complexity lassification Technique and Hardware-Efficient Classify-Unit Architecture for CNN Accelerator

Open Access
Conference Paper
Authors: Islam M.N.;Shrestha R.;Chowdhury S.R.