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Dr ABHAY UPADHYAY

vidwan id: 581462
Male

,

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 17
Books 0
Proceedings 0

Publications

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Scopus

Citations 47
h-index 3

CrossRef

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Citations 79
h-index 3
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Professional Recognition

2016

Best Research Paper Award

Indian Institute of Technology Indore MP

Community & Membership

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Bio

My current research focuses on diagnosing diseases at early stages using biomedical signals, with the help of a hybrid model based on machine learning and signal processing.

Personal Details

  • Male
  • Indian Institute of Technology Kota, Kota India
PhD
Indian Institute of Technology Indore 2017
M.Tech
Other Institute 2010
B.Tech
Other Institute 2007
Guest Faculty Aug 2024 – —
Indian Institute of Information Technology, Kota | Electronics and Communication Engineering
Assistant Professor Aug 2022 – Aug 2024
Samrat Ashok Technological Institute
Assistant Professor Sep 2018 – Sep 2021
Bundelkhand University
Assistant Professor Sep 2012 – Jul 2013
RKDF College of Technology, NH-12, Hoshangabad Road, Jatkhedi
Assistant Professor Apr 2011 – Dec 2011
RKDF College of Technology, NH-12, Hoshangabad Road, Jatkhedi

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Organisation (0)

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Co-Authors (8)

Ankit

Dr Ankit Kumar

Swami Keshwanand Institute of Technology, Management & Gramothan, Jaipur

Abhay

Dr Abhay Upadhyay

Samrat Ashok Technological Institute

Ram Bilas

Prof Ram Bilas Pachori

Indian Institute of Technology Indore

Pankaj

Dr Pankaj Dadheech

Swami Keshwanand Institute of Technology, Management & Gramothan, Jaipur

G R

Prof G R Sinha

G S F C University

Rahul

Dr Rahul Dubey

Madhav Institute of Technology & Science, Gwalior

Varun

Dr Varun Bajaj

Maulana Azad National Institute of Technology

Vipin

Mr Vipin Jain

Swami Keshwanand Institute of Technology, Management & Gramothan, Jaipur

Scholarly Work

A multi-class computer-aided system for diagnosis of cardiovascular disease using non-invasively measured cardiac signals. Principle Investigator: Dr Abhay Upadhyay

Funding Agency: NPIU (A Unit of Ministry of Human, Resource Development , In- dia), Scheme: Collaborative Research Scheme)

Principal Investigator

1,046,000

2019 - 2021

Completed
Electroencephalogram based sleep stages detection using advance wavelet techniques.

Funding Agency: NPIU (A Unit of Ministry of Human, Resource Development , In- dia), Scheme: Collaborative Research Scheme)

Co Principal Investigator

1,442,000

2019 - 2021

Completed
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A system and method for monitoring agricultural crops based on Internet of Things (IoT) and Deep Learning Models (CNN) and providing crop disease resolution using the same

R. Dubey
A. Upadhyay
A. Nishad
R. Shukla and K.K. Tiwari
Engineering and Technology Application No. : 202121010953 Filed : 19-03-2021
Published : 22-03-2021 Published

Scholarly Publications

Automated Variational Nonlinear Chirp Mode Decomposition for Bearing Fault Diagnosis

Open Access
Article

Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method

Open Access
article
Authors: Rahul Dubey ., Mohit Kumar ., Abhay Upadhyay ., Ram Bilas Pachori .,

Improved Classification Techniques for the Diagnosis and Prognosis of Cancer

Open Access
book chapter
Authors: Pankaj Dadheech, Ankit Kumar, S.R. Dogiwal, Vipin Jain, Vijander Singh, Linesh Raja

Modelling and analysis of active biopotential signals in healthcare, Volume 1

Open Access
Book

Classification of emotions from EEG signals using time-order representation based on the S-transform and convolutional neural network

Open Access
article
Authors: S. Khare, A. Nishad, A. Upadhyay, and V. Bajaj

Classification of epileptic EEG signals using sparse spectrum based empirical wavelet transform

Open Access
article
Authors: A. Nishad, A. Upadhyay, G. Ravi Shankar Reddy, and V. Bajaj

A nonparametric approach for multicomponent AM–FM signal analysis,

Open Access
article
Authors: A. Upadhyay, M. Sharma, R. B. Pachori, and R. Sharma

Automated classification of hand movements using tunable-Q wavelet transform based filter-bank with surface electromyogram signals

Open Access
article
Authors: A. Nishad, A. Upadhyay, R. B. Pachori, and U. R. Acharya