Ministry of Education
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Dr Pankaj Batra

vidwan id: 538976
Male

Assistant Professor, Department of Computer Science and Engineering (AI and DS)
Panipat Institute of Engineering & Technology

Orchid Icon 0000-0003-0327-4763 Google Scholar Icon 57223622541 Google Scholar Icon ou-f6FoAAAAJ

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 17
Books 0
Proceedings 0

Publications

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Scopus

Citations 154
h-index 7

CrossRef

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Citations 81
h-index 5
Google Scholar

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Professional Recognition

2014

Awarded with Gold Medal for standing first in M.Tech

University
2023

Awarded for coordinating the International Conference

Institute

Community & Membership

2023

Biomedical Signal Processing and Control

Reviewer
2023

Computers in biology and medicine

Reviewer
2024

IEEE Sensor Journal

Reviewer

IEEE

2022
Member

Bio

Signal Processing, Artificial Intelligence, and The Iot Domain

Personal Details

  • Male
  • Assistant Professor , Panipat Institute of Engineering & Technology
  • Department of Computer Science and Engineering (AI and DS), Panipat Institute of Engineering and Technology
Ph.D
Other Institute 2024
M.Tech
Other Institute 2012
B.Tech
Other Institute 2008
Assistant Professor Jul 2014 – Present
Panipat Institute of Engineering & Technology | Department of Computer Science and Engineering (AI and DS)

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Co-Authors (3)

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Dr Manjeet Kumar

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Scholarly Work

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AN AUTOMATED SYSTEM AND METHOD FOR MONITORING HEALTH CONDITION OF A USER

Pankaj
Medical and Health Sciences Patent No. : 47/2022 Filed : 05-04-2022
Published : 25-11-2022 Published

Scholarly Publications

Edge-Based Computation of Super-Resolution Superlet Spectrograms for Real-Time Estimation of Heart Rate Using an IoMT-Based Reference-Signal-Less PPG Sensor

Open Access
Article
IEEE Internet of Things Journal. Year: 2024. Volume: 11 , Issue: 5 , Pages: 8647-8657 .
Authors: Pankaj ;Kumar A.;Kumar M.;Komaragiri R.
DOI 10.1109/JIOT.2023.3322947
1 10

A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography

Open Access
Article
Computer Methods and Programs in Biomedicine. Year: 2023. Volume: 240 .
Authors: Pankaj ;Kumar A.;Komaragiri R.;Kumar M.
DOI 10.1016/j.cmpb.2023.107716
3 9

Estimation of Respiratory Rate from a Corrupted PPG Signal using Time-Frequency Spectrogram

Open Access
Conference Paper
Year: 2023. Pages: 259-264 .
Authors: Pankaj ;Kumar A.;Komaragiri R.;Kumar M.
DOI 10.1109/SPIN57001.2023.10117416
1

Optimized deep neural network models for blood pressure classification using Fourier analysis-based time–frequency spectrogram of photoplethysmography signal

Open Access
journal-article
Biomedical Engineering Letters. Year: 2023.
Authors:

A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography

Open Access
journal-article
Computer Methods and Programs in Biomedicine. Year: 2023.
Authors:

Analysis of photoplethysmogram signal to estimate heart rate during physical activity using fractional fourier transform – A sampling frequency independent and reference signal-less method

Open Access
Article
Computer Methods and Programs in Biomedicine. Year: 2023. Volume: 229 .
Authors: Pankaj ;Kumar A.;Ashdhir A.;Komaragiri R.;Kumar M.
DOI 10.1016/j.cmpb.2022.107294
5 12

Blood pressure estimation and classification using a reference signal-less photoplethysmography signal: a deep learning framework

Open Access
journal-article
Physical and Engineering Sciences in Medicine. Year: 2023.
Authors:

Optimized deep neural network models for blood pressure classification using Fourier analysis-based time–frequency spectrogram of photoplethysmography signal

Open Access
Article
Biomedical Engineering Letters. Year: 2023. Volume: 13 , Issue: 4 , Pages: 739-750 .
Authors: Pankaj ;Kumar A.;Kumar M.;Komaragiri R.
DOI 10.1007/s13534-023-00296-6
5 11