
Dr. Varun Bajaj
Associate Professor
Google Scholar: https://scholar.google.co.in/citations?user=zZ3vDAsAAAAJ&hl=en
Scopus: https://www.scopus.com/authid/detail.uri?authorId=572092891220
ORCID: https://orcid.org/0000-0002-8721-1219
Vidwan: https://vidwan.inflibnet.ac.in/profile/105298
|
U.G |
Biomedical Instrumentation |
|
Signals and Systems |
|
|
Digital System Design |
|
|
Network analysis and Synthesis |
|
|
Digital Signal Processing |
|
|
Time Frequency Analysis |
|
|
Fundamentals of Electrical & Electronics |
|
|
P.G |
Advance Time Frequency Analysis |
|
Application of Signal and Image Processing |
|
|
Multirate Signal Processing |
|
|
Biomedical Signal Processing |
|
|
Pattern Classification |
|
Organization |
Start Date |
End Date |
Designation |
Nature of Work |
| MANIT Bhopal | 17-01-2024 |
Till now |
Associate Professor |
Teaching and Research |
|
IIITDM Jabalpur |
16-07-2021 |
16-01-2024 |
Associate Professor |
Teaching and Research |
|
IIITDM Jabalpur |
04-03-2014 |
15-07-2021 |
Assistant Professor |
Teaching and Research |
|
IIITDM Jabalpur |
04-09-2013 |
03-03-2014 |
Visiting Faculty |
Teaching and Research |
|
Name of the Student |
Topic |
Year of Award |
Co-Supervisor (if any) |
|
Dr. Shweta Jain
|
New Framework for De-noising and Classification of Electrocardiogram Beats using Evolutionary Techniques,
|
2018 |
Dr Anil Kumar |
|
Dr. Sachin Taran
|
Adaptive Framework for Analysis and Classification of Electroencephalogram Signals
|
2019 |
|
|
Dr. Nikhil Agrawal (Dual Degree)
|
Design of Nearly Linear Phase Infinite Impose Response Filters using Evolutionary Techniques, Completed 2013- |
2019 |
Dr Anil Kumar
|
|
Dr. Santhos Kumar A.
|
Fuzzy Min-Max Neural Networks for Pattern and Image Classification |
2021 |
Dr Anil Kumar
|
|
Dr. Smith Kashiram Khare |
Robust Techniques for the Classification of Neurological States using EEG Signals
|
2022 |
|
|
Dr. Kapil Gupta
|
Deep Learning frameworks for automated classification of Heart-related signals |
2023 |
Dr Irshad Ahmad Ansari |
|
Anurodh Kumar |
Deep Learning Approaches for Colorectal Tissue Classification using Histopathological Images |
Jan 2025 |
Dr Amit Vishwakarma |
|
Rajveer Singh Lalawat
|
Artificial Intelligence Techniques for Biomedical Data Classification and System Design
|
2025 |
Prof Prabin Padhy |
|
Ranjeet Pratap Singh Bhadoriya |
Investigation of Plasma-Driven Non-Planar Microwave Absorbers Targeting Broadband RCS Reduction |
2025 |
Dr. Ravi Panwar |
| Rohit Raj Singh |
Time-Frequency Analysis and Brain Connectivity Mapping of Brain Signals for Understanding Mental Conditions |
Ongoing 2023 | Dr BK Singh (NITR) |
| Akanchha Rusia, |
NA |
Ongoing July 2024 | |
| Sikandar Kumar | NA | Ongoing July 2025 |
|
|
Title |
Sponsoring Agency |
Duration |
Amount |
Co-PI (if any) |
|
Computer Aided Design for Development of Hardware prototype for Diagnosis of Diabetes using ECG Signals, (IIITDMJ) |
CSIR EMR-II
|
Jan 2024 Completed |
19 Lakh |
|
|
FPGA prototype of non-recursive key based cryptosystem for secure transmission of real-time privacy signal, (IIITDMJ) |
DST/ICPS-Individual |
2021 Completed |
24.5Lakh |
Sraban K Mohnati |
|
Machine Learning based Classification of Practitioners and Non-Practitioners of Yoga, Meditation and Breathing Practices for Improved Quality of Life and Community Wellness, |
MINRO IIIT Bangalore
|
2023-20224 Completed |
65 Lakh |
Prof GR Sinha (PI) |
|
Development of wearable internet of medical things for continous health monitortg of astronau |
ISRO-IIT BHU |
2022---2024 Completed
|
16 Lakh |
Priya Ranjan Muduli (PI) |
|
Brain computer interface for classification of human emotions |
Research Initiation Grant In IIITDM Jabalpur |
2018 (Completed) |
1 Lakh |
|
|
Title |
Sponsoring Agency |
Duration |
Amount |
Co-Investigator (if any) |
|
AI and ML based data analytics algorithm for Medtech system |
Humors Tech |
2021-2022 |
20000/- |
Navjeet Bagga and Varun Bajaj |
|
Implementation of signal and image processing algorithm for related application |
from Jagadish Chandra Bose Research Organization |
2020-2022 |
100000/- |
Varun Bajaj and Irshad Ahmad Anasari |
|
Authors |
Title |
Journal |
VOL. NO., PAGE NO |
YEAR |
SCI/ Scopus |
IMPACT FACTOR |
| Rohit Raj Singh, Bikesh Kumar Singh, Varun Bajaj, Lokesh Kumar Singh, Sai Krishna, | Adaptive Window Based SPWVD for Detection of Schizophrenia Using EEG, | IEEE Sensors Journal, 2025. | Accepted | 2025 | SCIE | 4.3 |
| Nakul K Pathak, Vipul Dixit, Varun Bajaj, Atul Kumar | Next-Gen Cooperative Relaying: Leveraging Deep Learning for Automatic Modulation Classification with Antenna Diversity, | IETE Journal of Research, 2025 | Accepted | 2025 | SCIE | 1.3 |
|
Rajveer Singh Lalawat , Varun Bajaj , Prabin Kumar padhy and Chun-Yu Lin |
Advancing Motor Imagery EEG Classification by Quantum Feature Integration and Quantum Support Vector Machines |
Applied Acoustics. |
|
2025 |
SCIE |
3.4 |
|
Shresth Gupta, Manojeet Roy, Nalini Pusarla,Philip J. Aston, Kapil Gupta, Varun Bajaj, |
3-D Attractor Reconstruction for Enhanced ECG Classification of Arrhythmia and Congestive Heart Failure |
IEEE Sensors Journal, 2025 |
Accepted. |
2025 |
SCIE |
4.3 |
|
Kapil Gupta, Varun Bajaj, and Irshad Ahmad Ansari, |
CardioNet: A lightweight deep learning framework for screening of myocardial infarction using ECG sensor data, |
IEEE Sensors Journal, |
Vol 25, issue 4, pp. 6794-6800, 2025. |
2025 |
SCIE |
4.3 |
|
Rajveer S Lalawat, Kapil Gupta, Varun Bajaj, |
Synergizing fMRI Connectivity and Deep Learning for Precise Schizophrenia Diagnosis |
IETE Journal of Research, |
|
2025 |
SCIE |
1.3 |
|
Rajveer S Lalawat, Varun Bajaj, Prabin Padhy, |
Optimal Variational Mode Decomposition Based Automatic Stress Classification System Using EEG Signals, |
Applied Acoustics. |
Volume 231, 1 March 2025, 110478. https://doi.org/10.1016/j.apacoust.2024.110478 |
2025 |
SCIE |
3.4 |
|
Anurodh Kumar, Amit Vishwakarma, and Varun Bajaj |
ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images. |
Computer Methods and Programs in Biomedicine |
251 |
2024 |
SCIE |
6.1 |
|
Kapil Gupta, Varun Bajaj, Deepak Kumar Jain, Amir Hussain |
MPXCN-Net: Accurate and automated screening system for monkeypox using skin images, |
Expert Systems, |
|
2024 |
SCIE |
1.546 |
|
Kapil Gupta, Saurabh Jain, Varun Bajaj |
Multi-resolution assessment of ECG sensor data for sleep apnea detection using wide neural network |
IEEE Sensors Journal, |
Accepted |
2024 |
SCIE |
4.325 |
|
Rajveer S Lalawat, Varun Bajaj, |
An Automatic Framework For Detecting Autism Spectrum Disorder From EEG Signals Using TFD, |
IEEE Sensors Journal, , 2024 |
Volume: 24, Issue: 7 pp. 10632-10639 |
2024 |
SCIE |
4.325 |
|
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, and Shivam Mishra |
Novel Mixed Domain Hand-crafted Features for Skin Disease Recognition Using Multi-headed CNN, |
IEEE Transactions on Instrumentation & Measurement, |
5013013, vol 73 2024. |
2024 |
SCIE |
5.6 |
|
Kamlesh Kumar, Prince Kumar, Ruchit Kumar Patel, Manish Sharma, Varun Bajaj, U Rajendra Acharya, |
Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals, |
IEEE Latin America Transactions, |
22, no. 3 (2024): 186-194. |
2024 |
SCIE |
1.3 |
|
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, |
Multi-headed CNN for colon cancer classification using histopathological images with tikhonov-based unsharp masking, |
Multimedia Tools and Applications |
1-20. |
2024 |
SCIE |
3.6 |
|
Kapil Gupta, Varun Bajaj and Irshad A Anasari, |
Integrated S-transform-based learning system for detection of arrhythmic fetus |
IEEE Transactions on Instrumentation & Measurement |
72 |
2023 |
SCIE |
5.6 |
|
Nikhil B. Gaikwad, Smith K. Khare, Hrishikesh Ugale, Dinesh Mendhe, Varun Tiwari, Varun Bajaj, and Avinash Keskar, |
Hardware Design and Implementation of Multi-Agent MLP Regression for the Estimation of Gunshot Direction on IoBT Edge Gateway, |
IEEE Sensors Journal |
23, (13), may 2023 pp. 14549-14557. 10.1109/JSEN.2023.3278748 |
2023 |
SCIE |
4.3 |
|
Kapil Gupta, Varun Bajaj and Irshad A Anasari, |
Atrial fibrillation detection using electrocardiogram signal input to LMD and ensemble classifier, |
IEEE Sensors Letters |
Volume: 7, Issue: 6, June 2023 |
2023 |
SCIE |
2.8 |
|
Kapil Gupta, Varun Bajaj |
A Robust Framework for Automated Screening of Diabetic Patient Using ECG Signals, |
IEEE Sensors Journal |
24 (22) |
2022 |
SCIE |
4.3 |
|
Kapil Gupta, Varun Bajaj and Irshad A Anasari |
An Improved Deep Learning Model for Automated Detection of BBB Using S-T Spectrograms of smoothed VCG Signal |
IEEE Sensors Journal |
Vol 22 Issue 9 |
2022 |
SCIE |
4.3 |
|
Kapil Gupta, Varun Bajaj, Irshad A Anasari, U. Rajendra Acharya |
Automated Classification of Sleep Apnea using Deep Learning Model and Smoothed Gabor Spectrograms of ECG Signal |
IEEE Transactions on Instrumentation & Measurement |
71 |
2022 |
SCIE |
5.6 |
|
Smith Khare, Nikhil B. Gaikwad, Varun Bajaj |
VHERS: A novel Variational Mode Decomposition and Hilbert Transform based EEG rhythm separation for automatic ADHD detection |
IEEE Transactions on Instrumentation & Measurement |
71 |
2022 |
SCIE |
5.6 |
|
Smith K. Khare, Varun Bajaj |
Entropy based Drowsiness Detection using Adaptive Variational Mode Decomposition |
IEEE Sensors Journal |
21, 5, |
2021 |
SCIE |
4.3 |
|
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya |
PDCNNet: An automatic framework for the detection of Parkinson's Disease using EEG signals |
IEEE Sensors Journal |
22(15) |
2021 |
SCIE |
4.3 |
|
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya |
SPWVD-CNN for automated detection of Schizophrenia patients using EEG signals |
IEEE Transactions on Instrumentation and Measurement, |
70 |
2021 |
SCIE |
5.6 |
|
Smith Khare, Varun Bajaj, |
Time-Frequency Representation and Convolutional Neural Network based Emotion Recognition, |
IEEE Transactions on Neural Networks and Learning Systems, |
2021 |
SCIE |
10.451 |
|
|
Smith K. Khare, and Varun Bajaj, |
An Evolutionary Optimized Variational Mode Decomposition for Emotion Recognition, |
IEEE Sensors Journal |
21(2), |
2020 |
SCIE |
4.3 |
|
Samrudhi Mohdiwale, Mridu Sahu, G R Sinha, Varun Bajaj, |
Automated Cognitive Workload Assessment using Logical Teaching Learning based Optimization and PROMETHEE Multi-Criteria Decision Making Approach, |
IEEE Sensors Journal |
20(22) |
2020 |
SCIE |
4.3 |
|
Santhos Kumar A., Anil Kumar, Varun Bajaj, and G. K. Singh |
An Improved Fuzzy Min-Max Neural Network for Data Classification |
IEEE Transactions on Fuzzy Systems |
vol. 28, no. 9, pp. |
2020 |
SCIE |
12.029 |
|
Sachin Taran, Varun Bajaj |
Sleep Apnea Detection Using Artificial Bee Colony Optimize Hermite Basis Functions for EEG Signals |
IEEE Transactions on Instrumentation and Measurement |
2020 |
SCIE |
5.6 |
|
|
Smith K. Khare, Varun Bajaj, G. R. Sinha, |
Adaptive Tunable Q Wavelet Transform based Emotion Identification, |
IEEE Transactions on Instrumentation and Measurement, |
vol. 69, no. 12 |
2020 |
SCIE |
5.6 |
|
Siuly Siuly, Smith K. Khare, Varun Bajaj, Hua Wang and Yanchun Zhang, |
A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals, |
IEEE Transactions on Neural Systems and Rehabilitation Engineering, |
28(11) |
2020 |
SCIE |
3.802 |
|
Nikhil Agrawal, Anil Kumar; Varun Bajaj, |
A New Design Approach for Nearly Linear Phase Stable IIR Filter using Fractional Derivative |
IEEE/CAA Journal of Automatica Sinica |
2020 |
SCIE |
6.171 |
|
|
Shalu Chaudhary, Sachin Taran, Varun Bajaj, Abdulkadir Sengur |
Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification |
IEEE Sensors Journal |
19(12) |
2019 |
SCIE |
4.3 |
|
Umit Budak, Varun Bajaj, Yaman Akbulut, Orhan Atilla, Abdulkadir Sengur, |
An Effective Hybrid Model for EEG-Based Drowsiness Detection |
IEEE Sensors Journal |
19(17) |
2019 |
SCIE |
4.3 |
|
Varun Bajaj, Sachin Taran, Erkan Tanyildizi, and Abdulkadir Sengur, |
Robust Approach based on Convolutional Neural Networks for Identification of Focal Eeg signals |
IEEE Sensors Letters |
03//05 |
2019 |
ESCI |
2.8 |
|
N. Agrawal, A. Kumar, Varun Bajaj, and GK Singh |
Design of bandpass and bandstop infinite impulse response filters using fractional derivative |
IEEE Transactions on Industrial Electronics |
66(2) |
2019 |
SCIE |
8.236 |
|
Shreya Pare, Anil Kumar, Varun Bajaj, Girish Kumar Singh |
A context sensitive multilevel thresholding using swarm based algorithms |
IEEE/CAA Journal of Automatica Sinica |
6(6) |
2019 |
SCIE |
6.171 |
|
Shweta Jain, Varun Bajaj, and Anil Kumar |
Riemann Liouvelle Fractional Integral based Empirical Mode Decomposition for ECG Denoising |
IEEE Journal of Biomedical and Health Informatics |
22-- 4 |
2018 |
SCIE |
7.7 |
|
Sachin Taran, and Varun Bajaj |
Drowsiness Detection Using Adaptive Hermite Decomposition and Extreme Learning Machine for Electroencephalogram Signals |
IEEE Sensors Journal |
18(21) |
2018 |
SCIE |
4.3 |
|
Sachin Taran, and Varun Bajaj, |
Clustering Variational Mode Decomposition for Identication of Focal EEG Signals |
IEEE Sensors Letters |
2//4 |
2018 |
ESCI |
2.8 |
|
N. Agrawal, A. Kumar, and Varun Bajaj |
A new design method for stable IIR filters with nearly linear-phase response based on fractional derivative and swarm intelligence |
IEEE Transactions on Emerging Topics in Computational Intelligence |
1(6) |
2017 |
SCIE |
5.3 |
|
V. Bajaj and R.B. Pachori, |
Classification of seizure and nonseizure EEG signals using empirical mode decomposition |
IEEE Transactions on Information Technology in Biomedicine |
16(6) |
2012 |
SCIE |
7.7 |
|
Anurodh Kumar, Varun Bajaj, Amit Vishwakarma |
Classification of Colorectal Tissue Histopathological Images Using Improved Deep Convolutional Neural Network, |
Biomedical Signal Processing and Control. |
79 (2) |
2023 |
SCIE |
5.076 |
|
Kapil Gupta, Varun Bajaj |
Deep Learning Models-Based CT-Scan Image Classification for Automated Screening of Covid-19 |
Biomedical Signal Processing and Control. |
2023 |
SCIE |
5.076 |
|
|
Kapil Gupta, Varun Bajaj and Irshad A Anasari |
A support system for automatic classification of hypertension using BCG signals |
Expert Systems With Applications |
2023 |
SCIE |
8.65 |
|
|
Kamlesh Kumar; Kapil Gupta; Manish Sharma; Varun Bajaj; U Rajendra Acharya |
INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals |
Medical Engineering & Physics |
Volume 119, 104028 |
2023 |
SCIE |
2.2 |
|
Nakul Kishor Pathak and Varun Bajaj, |
Automatic Modulation Classification using Bimodal Parallel Multichannel Deep Learning Framework for Spatial Multiplexing MIMO System, |
Physical Communication, |
102071, |
2023 |
SCIE |
2.379 |
|
Smith Khare, Varun Bajaj, U. Rajendra Acharya |
SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals, |
Physiological Measurement, |
36787641 |
2023 |
SCIE |
2.668 |
|
SK Khare, V Bajaj, NB Gaikwad, GR Sinha |
Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals |
Sensors |
23 (18), 7860 |
2023 |
SCIE |
4.3 |
|
Kapil Gupta, Varun Bajaj, Irshad A Anasari, and U. Rajendra Acharya |
Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals |
Biocybernetics and Biomedical Engineering |
784-796 |
2022 |
SCIE |
4.314 |
|
Smith K. Khare, Varun Bajaj |
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals |
Computers in Biology and Medicine |
141 |
2022 |
SCIE |
4.589 |
|
Smith Khare, Varun Bajaj, |
Optimized Tunable Q Wavelet Transform based Drowsiness Detection from Electroencephalogram Signals |
Innovation and Research in Bio-Medical Engineering (IRBM) |
43,(1) |
2022 |
SCIE |
1.856 |
|
Santhos Kumar A., Anil Kumar, Varun Bajaj, and G. K. Singh |
A Compact Fuzzy Min Max Network with Novel Trimming Strategy for Pattern Classification |
Knowledge-Based Systems |
2022 |
SCIE |
8.038 |
|
|
Rishi Sinhal, Sachin Sharma, Irshad Ahmad Ansari and Varun Bajaj |
Multipurpose medical image watermarking for effective security solutions |
Multimedia Tools and Applications |
81(10): |
2022 |
SCIE |
2.7 |
|
N Agrawal, A Kumar, Varun Bajaj, GK Singh |
Applied Acoustics |
172 |
2021 |
SCIE |
2.639 |
|
|
Sachin Taran, Varun Bajaj, GR Sinha and Kamal Polat |
Detection of Sleep Apnea Events using Electroencephalogram signals |
Applied Acoustics |
181, 108137 |
2021 |
SCIE |
2.639 |
|
Sachin Sharma, Smith K. Khare, Varun Bajaj, Irshad A. Ansari |
Improving the separability of drowsiness and alert EEG signals using Analytic form of wavelet transform |
Applied Acoustics |
181 (2021) 108164 |
2021 |
SCIE |
2.639 |
|
Smith K. Khare, Varun Bajaj, U. Rajendra Acharya |
Detection of Parkinson's disease using automated tunable Q wavelet transform technique with EEG signals |
Biocybernetics and Biomedical Engineering. |
2021 |
SCIE |
4.314 |
|
|
Smith K. Khare, Varun Bajaj, |
A Self-Learned Decomposition and Classification Model for Schizophrenia Diagnosis |
Computer Methods and Programs in Biomedicine |
211 |
2021 |
SCIE |
5.428 |
|
Santhos Kumar A., Anil Kumar, Varun Bajaj, and G. K. Singh |
Class Label Altering Fuzzy Min-Max Network and its Application to Histopathology Image database |
Expert Systems With Applications |
2021 |
SCIE |
6.954 |
|
|
Himanshu Singh, Sethu Venkata Raghavendra Kommuri, Anil Kumar, Varun Bajaj |
A new technique for Guided Filter based Image Denoising using Modified Cuckoo Search Optimization |
Expert Systems With Applications |
2021 |
SCIE |
6.954 |
|
|
Varun Bajaj, Sachin Taran, Smith K. Khare, and Abdulkadir Sengur |
Feature Extraction Method for Classification of Alertness and Drowsiness States EEG Signals |
Applied Acoustics |
163 |
2020 |
SCIE |
2.639 |
|
Smith Khare, Varun Bajaj |
Constrained based Tunable Q Wavelet Transform for Efficient Decomposition of EEG Signals |
Applied Acoustics |
163 |
2020 |
SCIE |
2.639 |
|
Nikhil Agrawal, Anil Kumar; Varun Bajaj, |
Design of Infinite impulse response filter uisng fractional derivative constraints and hybrid particle swarn optimization, |
Circuits, Systems, and Signal Processing, |
33 |
2020 |
SCIE |
2.225 |
|
Sethu Venkata Raghavendra Kommuri; HIMANSHU SINGH; Anil Kumar; Varun Bajaj, |
Bidimensional Empirical Mode Decomposition Based Diffusion Filtering For Image Denoising |
Circuits, Systems, and Signal Processing, |
39, |
2020 |
SCIE |
2.225 |
|
Shalu Chaudhary, Sachin Taran, Varun Bajaj, Siuly Siuly |
A Flexible Analytic Wavelet Transform Based Approach for Motor-Imagery Tasks Classification in BCI Applications |
Computer Methods and Programs in Biomedicine |
187 |
2020 |
SCIE |
5.428 |
|
Smith Khare, Varun Bajaj, |
A Facile and Flexible Motor Imagery Classification using Electroencephalogram Signals, |
Computer Methods and Programs in Biomedicine, |
2020 |
SCIE |
5.428 |
|
|
Varun Bajaj, G R Sinha, Siuly Siuly, Abdulkadir Şengur, |
Current Trends in Cognitive Science and Brain Computing Research and Applications, Guest Editorial, |
Electronics Letters |
Volume 56, Issue 25, |
2020 |
SCIE |
1.316 |
|
Smith K. Khare, Anurag Nishad, Abhay Upadhyay, and Varun Bajaj, |
Classification of emotions from EEG signals using time-order representation based on the S-transform and convolutional neural network, |
Electronics Letters. |
Vol. 56 No. 25 |
2020 |
SCIE |
1.316 |
|
Anurag Nishad, Abhay Upadhyay*, G. Ravi Shankar Reddy, Varun Bajaj |
Classification of epileptic EEG signals using sparse spectrum based empirical wavelet transform |
Electronics Letters. |
Vol. 56 No. 25 |
2020 |
SCIE |
1.316 |
|
Demir, Fatih, Abdulkadir Sengur, and Varun Bajaj. |
Convolutional neural networks based efficient approach for classification of lung diseases |
Health information science and systems |
8 (2020): 1-8. |
2020 |
SCIE |
5.017 |
|
Silvia Liberata Ullo, Smith K. Khare , Varun Bajaj , and G. R. Sinha, |
Hybrid Computerized Method for Environmental Sound Classification, |
IEEE Access, |
VOLUME 8, |
2020 |
SCIE |
3.367 |
|
Chada Sravani, Varun Bajaj, Sachin Taran, Abdulkadir Sengur, |
Flexible analytic wavelet transform based features for physical action identification using sEMG signals, |
IRBM, Innovation and Research in BioMedical Engineering, |
41 (2020) |
2020 |
SCIE |
1.856 |
|
Sachin Taran, Prakash Chandra Sharma, Varun Bajaj, |
Automatic Sleep Stages Classification using Optimize Flexible AnalyticWavelet Transform |
Knowledge-Based Systems |
192, 105367 |
2020 |
SCIE |
8.038 |
|
Santhos Kumar A., A. Kumar, V. Bajaj, G. K. Singh, |
McCulloch Algorithm inspired Cuckoo Search Optimizer based Mammographic Image Segmentation |
Multimedia Tools and Applications, |
79 |
2020 |
SCIE |
2.757 |
|
Saad Ahmad, Shubham Agrawal, Samta Joshi, Sachin Taran, Varun Bajaj, Fatih Demir, and Abdulkadir Sengur |
Environmental Sound Classification using Optimum Allocation Sampling based Empirical Mode Decomposition |
Physica A: Statistical Mechanics and its Applications |
537 |
2020 |
SCIE |
3.263 |
|
Zafer Comert, Abdulkadir engr, Yaman Akbulut, mit Budak, Adnan Fatih Kocamaz, Varun Bajaj, |
Efficient approach for digitization of the cardiotocography signals |
Physica A: Statistical Mechanics and its Applications |
537 |
2020 |
SCIE |
3.263 |
|
M Murugappan, W Alshuaib, AK Bourisly, SK Khare, S Sruthi, Varun Bajaj |
Tunable Q wavelet transform based emotion classification in Parkinson’s disease using Electroencephalography |
PLoS ONE |
15(11): e0242014. |
2020 |
SCIE |
3.752 |
|
Santhos Kumar A., Anil Kumar, Varun Bajaj, and G. K. Singh, |
A novel pectoral muscle segmentation from scanned mammograms using EMO algorithm, |
Biomedical Engineering Letters, |
2019 |
SCIE |
4.6 |
|
|
Nikhil Agrawal, Anil Kumar; Varun Bajaj |
A New Method for Designing of Stable Digital IIR Filter using Hybrid Method |
Circuits, Systems, and Signal Processing |
2019 |
SCIE |
2.225 |
|
|
Sachin Taran, Varun Bajaj |
Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method |
Computer Methods and Programs in Biomedicine |
173 |
2019 |
SCIE |
5.428 |
|
Fatih Demir, Abdulkadir Sengur, Varun Bajaj and Kemal Polat, |
Towards the classification of heart sounds based on convolutional deep neural network, |
Health Information Science and Systems, |
07(16) |
2019 |
SCIE |
6 |
|
Sravani Chada, Sachin Taran, Varun Bajaj, |
An efficient approach for physical actions classification using surface EMG signals |
Health Information Science and Systems, |
8(03) |
2019 |
SCIE |
5.017 |
|
Anala Hari Krishna, Aravapalli Bhavya Sri, KYVS Priyanka, Sachin Taran, and Varun Bajaj |
Emotion classification using EEG signals based on tunable-Q wavelet transform |
IET Science, Measurement and Technology |
13(3) |
2019 |
SCIE |
1.975 |
|
Siuly SIULY, Omer F Alcin, Varun Bajaj, A sengur, Yanchun Zhang, |
Exploring Hermite transformation in brain signal analysis for the detection of epileptic seizure |
IET Science, Measurement Technology |
13(1) |
2019 |
SCIE |
1.975 |
|
Siuly Siuly, Varun Bajaj, Abdulkadir Sengur, Yanchun Zhang |
An advanced analysis system for identifying alcoholic brain state through EEG signals |
International Journal of Automation and Computing |
16(06) |
2019 |
SCIE |
4.3 |
|
Fatih Demir, Varun Bajaj, Melih C. Ince, Sachin Taran, Abdulkadir Sengur, |
Surface EMG signals and deep transfer learning based physical action classification |
Neural Computing and Applications |
31 |
2019 |
SCIE |
5.606 |
|
Podugu Uday Kiran, Nunna Abhiram, Sachin Taran and Varun Bajaj |
TQWT based features for classi cation of ALS and healthy EMG signals, |
American Journal of Computer Science and Information Technology |
6 (2:19) |
2018 |
|
|
|
Sukumar Nagineni, Sachin Taran, and Varun Bajaj, |
Features based on variational mode decomposition for identification of neuromuscular disorder using EMG signals |
Health Information Science and Systems |
06:13 |
2018 |
SCIE |
6 |
|
Varun Bajaj, Sachin Taran and Abdulkadir Sengur, |
Emotion classification uing exible analytic wavelet transform for electroencephalogram signals |
Health Information Science and Systems |
06:12 |
2018 |
SCIE |
6 |
|
Erkan Deniz, Abdulkadir engur, Zehra Kadiroglu, Yanhui Guo, Varun Bajaj, and Umit Budak |
Transfer Learning Based Histopathologic Image Classification for Breast Cancer Detection |
Health Information Science and Systems |
06(18) |
2018 |
SCIE |
6 |
|
Sachin Taran, Varun Bajaj |
Rhythm based identification of alcohol EEG signals |
IET Science, Measurement and Technology |
12(3) |
2018 |
SCIE |
1.975 |
|
Shweta Jain, Varun Bajaj, and Anil Kumar, |
Effective denoising of ECG by optimized adaptive thresholding on noisy modes |
IET Science, Measurement Technology |
12(5) |
2018 |
SCI |
1.975 |
|
Anchala Priya, Pooja Yadav, Shweta Jain, Varun Bajaj |
An efficient method for classi cation of alcoholic and normal EEG signals using EMD |
IET The Journal of Engineering |
2018(3) |
2018 |
Emerging SCI |
0.7 |
|
S. Pare, A. Kumar, Varun Bajaj, and GK Singh |
Image Segmentation Using Multilevel Thresholding: A Research Review |
Iranian Journal of Science and Technology, Transactions of Electrical Engineering |
NA |
2018 |
SCIE |
1.376 |
|
Sachin Taran, Varun Bajaj, D Sharma, S Siuly, A Sengur |
Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications |
Measurement |
116 |
2018 |
SCIE |
3.927 |
|
Varun Bajaj, Mayank Pawar, Vinod Kumar Meena, Mukesh Kumar, Abdulkadir Sengur, and Yanhui Guo |
Computer Aided Diagnosis of Breast Cancer using Bidimensional Empirical Mode Decomposition |
Neural Computing and Applications |
31\\8 |
2018 |
SCIE |
5.606 |
|
Sachin Taran, Varun Bajaj |
Motor Imagery Tasks based EEG Signals Classification using Tunable-Q Wavelet Transform |
Neural Computing and Applications |
31 |
2018 |
SCIE |
5.606 |
|
S. Pare, A. K. Bhandari, A. Kumar, and Varun Bajaj |
Backtracking search algorithm for color image multilevel thresholding |
Signal, Image and Video Processing |
12\\2 |
2018 |
SCIE |
2.157 |
|
S. Pare, A. Kumar, Varun Bajaj, GK Singh |
An efficient method for multilevel color image thresholding using Cuckoo search algorithm based on minimum cross entropy |
Applied Soft Computing |
61 |
2017 |
SCIE |
6.725 |
|
Varun Bajaj, Khushnandan Rai, Anil Kumar, and Dheeraj Sharma, |
Time-frequency image based features for classi cation of epileptic seizure from EEG signals, |
Biomedical Physics & Engineering Express |
3(1) |
2017 |
ESCI |
1.4 |
|
Abdulkadir Sengur, Yaman Akbulut, Yanhui Guo, Varun Bajaj, |
Classification of Amyotrophic Lateral Sclerosis Disease Based on Convolutional Neural Network and Reinforcement Sample Learning Algorithm |
Health Information Science and Systems |
05:09 |
2017 |
SCIE |
6 |
|
Sachin Taran, Varun Bajaj, Siuly SIULY |
An optimum allocation sampling based feature extraction scheme for distinguishing seizure and non-seizure EEG |
Health Information Science and Systems |
05:07 |
2017 |
SCIE |
6 |
|
Sachin Taran, Varun Bajaj, and D Sharma |
Robust Hermite decomposition algorithm for classification of sleep apnea EEG signals |
IET Electronics Letters |
53, |
2017 |
SCIE |
1.316 |
|
Varun Bajaj, K Rai, A Kumar, D Sharma, GK Singh, |
Rhythm based features for classification of focal and non-focal EEG signals |
IET Signal Processing |
11(6) |
2017 |
SCIE |
1.692 |
|
Vipin K Mishra, Varun Bajaj, Anil Kumar, Dheeraj Sharma, and G. K. Singh |
An efficient method for analysis of EMG signals using improved empirical mode decomposition |
Int. J. Electron. Commun. (AEÜ) |
72 |
2017 |
SCIE |
3.183 |
|
N. Agrwal, A. Kumar, and Varun Bajaj |
Design of Digital IIR Filter with Low Quantization Error using Hybrid Optimization Technique |
Soft Computing |
|
2017 |
SCIE |
3.643 |
|
S. Pare, A. Kumar, V. Bajaj, G. K. Singh |
A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve |
Applied Soft Computing |
47 |
2016 |
SCIE |
6.725 |
|
S Jain, Varun Bajaj, and A. Kumar |
An efficient algorithm for classification of ECG beats based on ABC-LSSVM classifier |
IET Electronics Letters |
52(14) |
2016 |
SCIE |
1.316 |
|
S Jain, A. Kumar, and Varun Bajaj |
Technique for QRS complex detection using particle swarm optimization (PSO) |
IET Science, Measurement and Technology |
10(6) |
2016 |
SCIE |
1.975 |
|
Vipin K Mishra, Varun Bajaj, Anil Kumar, and G. K. Singh |
Analysis of ALS and normal EMG signals based on empirical mode decomposition |
IET Science, Measurement and Technology |
10(8) |
2016 |
SCIE |
1.975 |
|
Nikhil Agrawal, A. Kumar, Varun Bajaj, G. K. Singh |
High Order Stable Infinite Impulse Response Filter Design using Cuckoo Search Algorithm |
International Journal of Automation and Computing |
14(5) |
2016 |
SCIE |
|
|
S. Jain, Mitul Kumar Ahirwal, Anil Kumar, Varun BAJAJ, and G. K. Singh |
QRS detection using adaptive filters: A comparative study |
ISA Transactions |
66 |
2016 |
SCIE |
5.468 |
|
Varun Bajaj, Y. GUO, A. SENGUR, S. SIULY, O. F. ALCIN |
A hybrid method based on Time-Frequency images for classification of alcohol and control EEG signals |
Neural Computing and Applications |
28(12) |
2016 |
SCIE |
5.606 |
|
Omer F. ALCIN, Siuly SIULY, Varun BAJAJ, Yanhui Guo, Abdulkadir SENGR, Yanchun Zhang |
Multi-category EEG signal classification developing Time- Frequency Texture Features based Fisher Vector encoding method |
Neurocomputing |
218 |
2016 |
SCIE |
5.719 |
|
V. Bajaj and A. Kumar |
Features based on intrinsic mode functions for classification of EMG signals |
International Journal of Biomedical Engineering and Technology |
18(2) |
2015 |
ESCI |
1.01 |
|
V. Bajaj and R.B. Pachori |
Epileptic seizure detection based on the instantaneous area of analytic intrinsic mode functions of EEG signals |
Biomedical Engineering Letters |
3(1) |
2013 |
SCIE |
4.6 |
|
V. Bajaj and R.B. Pachori, |
Automatic classification of sleep stages based on the time-frequency image of EEG signals, |
Computer Methods and Programs in Biomedicine |
112(3) |
2013 |
SCIE |
5.428 |
|
R.B. Pachori and V. Bajaj |
Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition |
Computer Methods and Programs in Biomedicine |
104(3) |
2011 |
SCIE |
5.428 |
Conference Publications
Conference Publications
|
Authors |
Title of Paper |
Conference Name |
Venue |
Conference Date |
Sponosored Society |
|
Akanksha Dixit, Varun Bajaj, Prabin Kumar Padhy, |
Sequential Feature Selection Integrated with ANN for Efficient Detection of ALS using sEMG signal
|
12th International Conference on Signal Processing & Integrated Networks (SPIN 2025). |
India |
20-21 Feb 2025 |
IEEE |
|
Vyas, S., Singh, A., Ansari, I. A., & Varun Bajaj, |
(2024, December). Comparative Analysis of Hand Gesture Classifiers Using EMG Signal and STFT-CNN. |
In 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT) (pp. 1-6). IEEE. |
India |
Dec 2024 |
IEEE |
|
Rajveer S Lalawat, Varun Bajaj, Prabin Padhy, |
Sleep Stage Classification Using EEG Signals: A Empirical Wavelet Transform Based Decomposition Approach |
2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV) |
UAE |
12-15 Dec 2024 |
IEEE |
|
Rajveer S Lalawat, Varun Bajaj, Prabin Padhy, . |
Brain-Computer Interfaces for Enhancing Motor Imagery Classification Using EEG Signals., Accepted |
International Conference on Brain-Computer Interface \& Healthcare Technologies |
India |
19-20 Dec 2024 |
IEEE |
|
Akanksha Dixit, Varun Bajaj, Irshad Ahmad Ansari, Prabin kumar Padhy, |
Time Frequency Analysis and Deep Feature Extraction for Hand Gesture Classification, |
2024 IEEE International Student Conference on Electrical, Electronics and Computer Science |
India |
24-25 Feb 2024 |
IEEE |
|
Kapil Gupta and Varun Bajaj |
A self-assessment framework for initial screening of human monkeypox |
2023 5th International Conference on Control and Robotics |
Tokyo Japan |
Nov-23 |
IEEE |
|
Nakul Kishor Pathak, Varun Bajaj,Impulsive Noise, |
Multichannel Deep Learning Network based Automatic Modulation Classification in Presence of Symmetric Alpha Stable Distributed |
5 th International Conference on Trends in Computational and Cognitive Engineering. Mode of Conference:Hybrid. 24-25 November, 2023 |
India |
Nov-23 |
IEEE |
|
Nithin Lakshmisha, Aman Butoliya, Varun Bajaj, Vikram M. Gadre, and Soumyo Mukherji,Electrocardiograms, Accepted in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023. |
New Features for the Detection of Fetal QRS Complexes in Non-Invasive Fetal Electrocardiograms, |
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023 |
Sydney Australialia • |
Jul-23 |
IEEE |
|
A. Kumar, A. Vishwakarma, V. Bajaj, |
Automatic Classification of Multi-Class Skin Lesions Dermoscopy Images Using an Efficient Convolutional Neural Network. |
In 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), pp. 1-5. IEEE, 2023. |
MANIT bhopal india |
18-19 February 2023 |
IEEE |
|
A. Kumar, A. Vishwakarma, V. Bajaj |
An efficient convolutional neural network for classification of multi-class colorectal tissue using histopathological images, |
2023 IEEE 6th International Conference on Information and Communication Technology (CICT-2022). |
IIITM |
18-20 November 2022 |
IEEE |
|
Abhishek Singh, Kapil Gupta, Varun Bajaj, |
Discrimination of Normal and Abnormal Knee Joint VAG Signals Using EMD, |
2nd International Conference on Computational Electronics for Wireless Communication (Springer), Best Paper Award 9-10 June 2022. |
NITK |
Springer |
|
|
Smith K Khare, Varun Bajaj, |
A CACDSS for automatic detection of Parkinson disease using EEG signals, |
International Conference on Control, Automation, Power and Signal processing |
India |
10th to 12th December 2021 |
IEEE |
|
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, Avinash Sharma and Chirag Thakur, |
Colon Cancer Classification of Histopathological Images Using Data Augmentation, |
International Conference on Control, Automation, Power and Signal processing (CAPS-2021), |
India |
10th to 12th December 2021 |
IEEE |
|
Santhos Kumar A., Kumar, A., Bajaj, V. and Singh, G.K., |
2020, July. Histopathology image classification using enhanced fuzzy min-max network. |
In 2020 International Conference on Communication and Signal Processing (ICCSP) (pp. 0488-0492). IEEE. |
India |
|
IEEE |
|
Anugya Pareta, Sachin Taran, Varun Bajaj, Abdulkadir Sengur, |
Automatic Environment Sounds |
IEEE 4th International Conference on |
Singapore |
November 22-24, 2019 |
IEEE |
|
Santhos Kumar A., A. Kumar, V. Bajaj, G. K. Singh and B. Kuldeep, |
A Fuzzy Min-Max Neural |
5TH INTERNATIONAL CONFERENCE |
Noida, India |
March 7th-9th, 2019 |
IEEE |
|
Santhos Kumar A., A. Kumar, V. Bajaj, G. K. Singh and B. Kuldeep, |
K-highest Fuzzy Min-Max Network to Classify Histopathological Images |
2019 International Conference on Communication and Signal Processing (ICCSP) |
Chennai, India |
4-6 April 2019 |
IEEE |
|
Nagineni Sukumar ; Sachin Taran ; Varun Bajaj |
Physical Actions Classification of Surface EMG Signals Using VMD |
2018 International Conference on Communication and Signal Processing (ICCSP) |
Chennai, India |
3-5 April 2018 |
IEEE |
|
Kumar, A. Santhos, A. Kumar, V. Bajaj, and Girish Kumar Singh. |
Fractional-order darwinian swarm intelligence inspired multilevel thresholding for mammogram segmentation |
. In 2018 International Conference on Communication and Signal Processing (ICCSP), pp. 0160-0164. IEEE, 2018. |
India |
|
IEEE |
|
Sachin Taran, and Varun Bajaj, |
Drowsiness Detection using Instantaneous Frequency based Rhythms Separation for EEG Signals |
2018 Conference on Information and Communication Technology (CICT) |
Jabalpur, India |
26-28 Oct. 2018 |
IEEE |
|
S. V. Raghavendra Kommuri, H. Singh, A. Kumar and V. Bajaj |
Bidimensional Empirical Mode Decomposition based Intrinsically Augmented Gamma Correction for Quality Restoration of Textural Images |
2019 Conference on Information and Communication Technology (CICT) |
Jabalpur, India |
26-28 Oct. 2019 |
IEEE |
|
Abdulkadir Sengur, Mehmet Gedikpinar, Yaman Akbulut, Erkan Deniz, Varun Bajaj, Yanhui Guo |
DeepEMGNet: An Application for Efficient Discrimination of ALS and Normal EMG Signals |
12th International Conference Mechatronics 2017 |
Brno, Czech Republic, |
6-8 September, 2017. |
Springer |
|
Sachin Taran, and Varun Bajaj, Dheeraj Sharma |
TEO Separated AM-FM Components Used for Identification of Apnea EEG Signals |
2017 IEEE 2nd International Conference on Signal and Image Processing |
Singapore |
4-6 Aug. 2017 |
IEEE |
|
S. Jain ; A. Kumar ; V. Bajaj |
QRS Complex Detection using Cuckoo Search Optimization Algorithm, |
2017 International Conference on Communication and Signal Processing (ICCSP) |
Chennai, India |
6-8 April 2017 |
IEEE |
|
Pooja Yadav, Anchala Priya, Sachin Taran, V. Bajaj, Dheeraj Sharma, |
Discrimination of alcohol and normal EEG signal using EMD |
2017 4th International Conference on Signal Processing and Integrated Networks (SPIN) |
Noida, India |
2-3 Feb. 2017 |
IEEE |
|
S. Jain ; A. Kumar ; V. Bajaj |
Real-time Detection of Electrocardiograph Peaks: A Genetic Algorithm based Approach |
2017 4th International Conference on Signal Processing and Integrated Networks (SPIN) |
Noida, India |
2-3 Feb. 2017 |
IEEE |
|
Swati Walde, Pragati Rani, Varun Bajaj, and Dheeraj Sharma |
Time Frequency Image based |
2016 International Conference on Signal Processing and Communication (ICSC) |
Noida, India |
26-28 Dec 2016 |
IEEE |
|
Vipin K Mishra, Varun Bajaj, and Anil Kumar, and Dheeraj Sharma. |
Discrimination between |
4th IEEE International |
Melmaruvathur, Tamilnadu, India. |
6-8 April 2016 |
IEEE |
|
Vipin K Mishra, Varun Bajaj, and Anil Kumar |
Classification of Normal, ALS and Myopathy EMG |
Second IEEE International Conference on Advances in Electrical, |
Chennai, India |
27th Feb, |
IEEE |
|
A.R. Dwivedi, H. Bari, S. Nath, Varun Bajaj, Dheeraj Sharma and Anil Kumar |
Analysis of focal and non-focal EEG signals using bivariate empirical mode decomposition |
IEEE Student |
Bhopal, India |
5-6 March 2016 |
IEEE |
|
N. Agrawal, A. Kumar, and Varun Bajaj |
Controlled Ripple Based Design of Digital IIR Filter |
21st International Conference on Digital Signal Processing (DSP) |
Beijing |
16-18 Oct 2016 |
IEEE |
|
N. Agrawal, A. Kumar, and Varun Bajaj |
Digital IIR Filter Design With Controlled Ripple Using |
International Conference on Signal and Information Processing |
Nanded, Maharashtra, India. |
6th to 8th October, 2016. |
IEEE |
|
K. Rai, V. Bajaj, and A. Kumar |
Novel Feature for Identification of Focal EEG Signals with |
20th IEEE International Conference on Digital Signal Processing (DSP) |
Singapore |
July 21-24, 2015 |
IEEE |
|
K. Rai, V. Bajaj, and A. Kumar |
Hilbert-Huang transform based classification of sleep and wake |
2015 International Conference on Communications and Signal Processing (ICCSP) |
Melmaruvathur, Tamilnadu, India. |
2-4 April 2015 |
IEEE |
|
K. Rai, V. Bajaj, and A. Kumar |
Features extraction for classification of focal and non-focal EEG |
Information Science and Applications Lecture Notes in Electrical Engineering |
Pattaya, Thailand |
339 |
Springer |
|
G. Sahu, N. Chaurasia, P. P. Suwalka, V. Bajaj and A. Kumar |
HHT based features for discrimination |
Proceedings of Second International Conference Information |
Kalyani, India |
January 8-9, 2015, |
Springer |
|
M. Gehlot, Y. Kumar, H. Meena, V. Bajaj, and A. Kumar |
EMD based features for discrimination |
Proceedings of Second International Conference Information |
Kalyani, India |
January 8-9, 2015, |
Springer |
|
N. Agrawal, A. Kumar and V. Bajaj |
Optimized design of digital IIR filter using artificial bee colony algorithm |
2015 International Conference on Signal Processing, Computing and Control (ISPCC) |
Noida, India |
24-26 Sept. 2015 |
IEEE |
|
N. Agrawal, A. Kumar and V. Bajaj |
Hybrid method based optimized design of digital IIR filter |
4th IEEE International Conference on Communication and Signal Processing-ICCSP’15 |
Melmaruvathur, Tamilnadu, India. |
2-4 April 2015 |
IEEE |
|
V. Bajaj and R.B. Pachori, |
Human emotion classification from EEG signals using multiwavelet |
IEEE International Conference on Medical Biometrics |
Shenzhen, Cjhina |
30 May-01 June, 2014 |
IEEE |
|
V. Bajaj and R.B. Pachori |
Separation of rhythms of EEG signals based on Hilbert-Huang |
International Conference on Convergence and Hybrid Information Technology, LNCS 7425 |
Daejeon, |
23-25 August, 2012 |
Springer |
|
V. Bajaj and R.B. Pachori |
EEG signal classification using empirical mode decomposition and |
International Conference on Soft Computing for Problem Solving, AISC 131 |
Roorkee, India |
20-22 December, 2011 |
Springer |
|
V. Bajaj and R.B. Pachori |
Application of the sample entropy for discrimination between seizure |
5th Indian International Conference on Artificial Intelligence |
Tumkur, India. |
14-16 December, 2011 |
DBLP |
|
D.K. Mishra, and V. Bajaj |
A single stage source couple CMOS VCO in 0.18um CMOS technologies with low power consumption |
2009 International Conference on Control, Automation, Communication and Energy Conservation (INCACEC 2009) |
Erode, India |
05-Jun-09 |
IEEE |
Edited Books
- Irshad Ahmad Ansari and Varun Bajaj (Eds), Image processing with Python: Vol2 A practical approach IOP in press , July 2024 at: https://doi.org/10.1088/978-0-7503-5924-5
- Irshad Ahmad Ansari and Varun Bajaj (Eds), Signal processing with Python: Vol1 A practical approach IOP, 2024 https://iopscience.iop.org/book/edit/978-0-7503-5929-0
- Varun Bajaj and GR Sinha (Eds), Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-1, IOP Series in Physics and Engineering in Medicine and Biology, 382pp, Auguest 2020. iopscience.iop.org/book/978-0-7503-3279-8
- Varun Bajaj and GR Sinha (Eds), Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-2, IOP Series in Physics and Engineering in Medicine and Biology, Inpress, 2020- 21. 10.1088/978-0-7503-3411-2, iopscience.iop.org/book/978-0-7503-3411-2
- Varun Bajaj and GR Sinha (Eds), Computer-aided Design and Diagnosis Methods for Biomedical Applications, CRC Taylor & Francis Group 2020-21. 978-0-367-63883-2/410018. www.routledge.com/Computer-aided-Design-and-Diagnosis-Methods-for-Biomed...
- Varun Bajaj and GR Sinha (Eds), Analysis of medical modalities for improved diagnosis in modern healthcare, CRC Taylor & Francis Group 2021. 9780367705367, https://www.routledge.com/Analysis-of-Medical-Modalities-for-Improved-Di...
- Varun Bajaj, GR Sinha and Chinmay Chakraborty (Eds), Biomedical Signal Processing for Healthcare Applications, Series: Emerging Trends in Biomedical Technologies and Health informatics CRC Taylor & Francis Group 2021. 9780367705879. https://www.routledge.com/Biomedical-Signal-Processing-for-Healthcare-Ap...
- Varun Bajaj an Irshad Ahmad Ansari (Eds), High performance computing for Intelligent Medical Systems, https://iopscience.iop.org/book/978-0-7503-3815-8 IOP Books 2021.
- Irshad Ahmad Ansari, and Varun Bajaj (Eds), Advanced Security Solutions for Multimedia, https://iopscience.iop.org/book/978-0-7503-3735-9 2021.
- Varun Bajaj and GR Sinha (Eds), Artificial Intelligence based Brain Computer Interface (BCI), https://www.elsevier.com/books/artificial-intelligence-based-brain-compu... Elsevier , 2022.
- Varun Bajaj and Irshad Ahmad Ansari (Eds), Computational Intelligence based solutions for Vision Systems, IOP May 2022. https://iopscience.iop.org/book/978-0-7503-4821-8.pdf
- GR Sinha and Varun Bajaj (Eds), Cognitive Sensors, Volume 1: Intelligent Sensing, Sensor Data Analysis and Applications IOP Submitted 2022, https://iopscience.iop.org/book/edit/978-0-7503-5326-7
- GR Sinha and Varun Bajaj (Eds), Cognitive Sensors, Volume 2: Applications in Smart Healthcare, IOP under preparation 2023, https://iopscience.iop.org/book/edit/978-0-7503-5346-5
- Irshad Ahmad Ansari and Varun Bajaj (Eds), Advanced Signal Processing for Industry 4.0, Volume 1: Evolution, communication protocols, and applications in manufacturing systems; IOP June 2023 https://iopscience.iop.org/book/edit/978-0-7503-5247-5
- Varun Bajaj and Irshad Ahmad Ansari (Eds), IoT in Biomedical Sciences: Challenges and Applications’ IOP June 2023 https://iopscience.iop.org/book/edit/978-0-7503-5311-3
- Irshad Ahmad Ansari and Varun Bajaj (Eds), Advanced Signal Processing for Industry 4.0, Volume 2: Security issues, management and future opportunities. IOP 2023 https://iopscience.iop.org/book/edit/978-0-7503-5658-9
- Rahul Chaurasiya , Varun Bajaj, Vishakha Chourasia, Artificial Intelligence-based Signal Processing for Brain Activity Analysis , In press , CRC Taylor & Francis Group 2025. ISBN 9781032896724 12 Nov 2025. https://www.routledge.com/Artificial-Intelligence-based-Signal-Processing-for-Brain-Activity-Analysis/Chaurasiya-Bajaj-Chourasia/p/book/9781003544012
Book Chapters (21)
- Lalawat, Rajveer S and Bajaj, Varun, Automatic COVID-19 identification with a binary neural network using CT images, Image Processing with Python, IOP Publishing, 2024, 9-1 to 9-20, https://dx.doi.org/10.1088/978-0-7503-5924-5ch9.
- Nakul Kishor Pathak and Varun Bajaj, Automatic feature extraction using deep learning for automatic modulation classification implemented with Python, Published March 2024 Pages 1-1 to 1-21, Signal processing with Python: Vol1 A practical approach IOP, 2024. 10.1088/978-0-7503-5929-0ch1
- Kapil Gupta, Varun Bajaj and Irshad Ahmad AnsariIoT-based continuous cardiac monitoring system, Internet of Things in Biomedical Sciences Challenges and applications, Published June 2023, Pages 1-1 to 1-12, doi:10.1088/978-0-7503-5311-3ch1
- Smith K. Khare, Nikhil B. Gaikwad, Hesam Akbari, Varun Bajaj and G.R. Sinha, Automatic detection of Parkinson’s disease using non-linear signal decomposition and machine learning techniques, Cognitive Sensing Technologies and Applications, Accepted, 2023
- Shivam Vyas, Irshad Ahmad Ansari and Varun Bajaj, Robotics vision for industrial automation, Advanced Signal Processing for Industry 4.0, Volume 1, IOP Publishing, June 2023, 10.1088/978-0-7503-5247-5ch1, pp. 1-1 to 1-26.
- A Kumar, A Vishwakarma, V Bajaj, Automatic identification of finger movements for industrial robotic applications using electromyogram signals, 10.1088/978-0-7503-5247-5ch12, Advanced Signal Processing for Industry 4.0, Volume 1, IOP Publishing, June 2023, pp. 12-1 to 12-19
- Smith K Khare, Asif Manzoor Khan, Varun Bajaj and G R Sinha, Introduction to smart healthcare and the role of cognitive sensors Cognitive Sensors, Volume 2, IOP Publishing, 2023, 1-1 to 1-21 https://dx.doi.org/10.1088/978-0-7503-5346-5ch1
- Ankit Charan Janbandhu, Ankit and Sharma, Sachin and Ansari, Irshad Ahmad and Bajaj, Varun, Drone-based vision system: surveillance during calamities, In Computational Intelligence Based Solutions for Vision Systems, IOP Publishing, 2022, Book Chapter, 1-19, https://dx.doi.org/10.1088/978-0-7503-4821-8ch1.
- S. K. Khare, V. Bajaj, Sachin Taran, and G. R. Sinha. "Multiclass sleep stage classification using artificial intelligence based time-frequency distribution and CNN." In Artificial Intelligence-Based Brain-Computer Interface, pp. 1-21. Academic Press, 2022. https://doi.org/10.1016/B978-0-323-91197-9.00012-6
- S. K. Khare, V. Bajaj, A. Sengur, and G. R. Sinha, 2022. Classification of mental states from rational dilation wavelet transform and bagged tree classifier using EEG signals. In Artificial Intelligence-Based Brain-Computer Interface (pp. 217-235). Academic Press. https://doi.org/10.1016/B978-0-323-91197-9.00014-X
- R. Sinhal, T K Sharma, I A Ansari and V Bajaj, Blind image watermarking with efficient dual restoration feature, I A Ansari and V Bajaj (Eds) Advanced Security Solutions for Multimedia, IOP Publishing, 2021, Book Chapter,1-20, http://dx.doi.org/10.1088/978-0-7503-3735-9ch1.
- K. Gupta, S K Khare, and Varun Bajaj, and I A Ansari, Automatic detection of hypertension by flexible analytic wavelet transform using electrocardiogram signals, High Performance Computing for Intelligent Medical Systems, IOP Publishing, 2021, 1-18, http://dx.doi.org/10.1088/978-0-7503-3815-8ch1
- Sachin Taran, Smith K. Khare, Ravi, Varun Bajaj, and G. R. Sinha, Classification of Alertness and Drowsiness States using the Complex Wavelet Transform based Approach for EEG Records Analysis of medical modalities for improved diagnosis in modern healthcare CRC Taylor & Francis 2021
- M Murugappan, Smith K. Khare, Waleed Alshuaib, Ali K Bourisly, Varun Bajaj, G. R. Sinha, Electroencephalogram Signals based Emotion Classification in Parkinson’s Disease using Recurrence Quantification Analysis and Nonlinear Classifiers, Computer-aided Design and Diagnosis Methods for Biomedical Applications (Accepted) CRC Taylor & Francis 2021
- G R Sinha, Varun Bajaj, Data Deduplication Applications in Cognitive Science and Computer Vision Research, Data Deduplication Approaches: Concepts, Strategies, and Challenges (Elsevier) 2020.
- Sachin Taran, Smith K. Khare, Varun Bajaj, and G. R. Sinha, Classification of Motor-Imagery Tasks from EEG Signals using Rational Dilation Wavelet Transform, Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-2 2021
- Smith K. Khare, Varun Bajaj, Siuly Siuly, G R Sinha Classification of schizophrenia patients through empirical wavelet transformation using electroencephalogram signals, Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-1 2020; 1.1-1.26 doi:10.1088/978-0- 7503-3279-8ch1.
- Smith K Khare, Varun Bajaj, GR Sinha, Automatic drowsiness detection based on variational non-linear chirp mode decomposition using electroencephalogram signals, Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-1 2020; 5.1-5.25 doi:10.1088/978-0-7503- 3279-8ch5.
- Abdulkadir Sengur, Varun Bajaj, Murat Karabatak, and Erkan Tanyildizi. "Neutrosophic similarity score-based entropy measure for focal and nonfocal electroencephalogram signal classification." In Neutrosophic set in medical image analysis, pp. 247-268. Academic Press, 2019.
- V. Bajaj and R.B. Pachori, Detection of human emotions using features based on the multiwavelet transform of EEG signals, In: A.E. Hassanien and A.T. Azar (Eds.) Brain-Computer Interfaces: Current Trends and Applications, Intelligent Systems Reference Library by Springer-Verlag, Germany, 2015, Vol. 74, pp.215-240.
- V. Bajaj and R.B. Pachori, Detection of human emotions using features based on the multiwavelet transform of EEG signals, In: A.E. Hassanien and A.T. Azar (Eds.) Brain-Computer Interfaces: Current Trends and Applications, Intelligent Systems Reference Library by Springer-Verlag, Germany, 2015, Vol. 74, pp.215-240.
Publications at a Glance
Journal papers (120)
Conference papers (45)
Books (16)
Book chapters (20)
Total publications 201
|
Title |
Year |
Agency |
Co-Investigator(if any) |
Published/Granted |
|
Deep learning based system for detection of amyotrophic lateral sclerosis using images of sEMG signals, |
202521040806, 28-04-2025. | Akanksha DIXIT, Rajveer Singh Lalawat, Varun Bajaj, Prabin Padhy, | Filled | |
|
An Artificial Intelligence Based System for Classification of Sleep Stage, |
Application No. 202521003750 dated 16-01- 2025. |
|
Rajveer Singh Lalawat, Varun Bajaj, Prabin Padhy, |
Filled |
|
A System for Classifying A Colorectal Tissue and Method of Operation Thereof, |
202421091087, 22-11-2024. |
|
Anurodh Kumar, Amit Vishwakarma, and Varun Bajaj, |
Filled |
|
A Device for Automatic Schizophrenia Disease Detection Using FMRI Images and Method Thereof |
2023 |
IIITDMJ |
Rajveer Singh Lalawat, Varun Bajaj, |
Published |
|
A Representation-Based Learning System For Diabetes Detection Using ECG Signal And A Method Thereof, |
30-05-2023 |
IIITDMJ |
Varun Bajaj, and Kapil Gupta, |
Published |
|
A Vibration Recording Device For Controlling The Ambient Temperature And A Method Thereof |
2022 |
IIITDMJ |
Kapil Gupta, Varun Bajaj and Irshad A Anasari, |
Published |
|
System And Method For Assisting In Parking Of a vehicle, |
2021 |
IIITDMJ |
. Harshit Garg, Siddhant Lohia, Kuhu Pyasi & Varun Bajaj, |
Published |
|
Dynamic Digital Twin System And A Method Of Operating Thereof, IP Australia |
2021 |
|
Deepak. Ch, Arjun Choudhary, Abhishek Sharma, Arun Kumar, Sinha, Sulabh Bansal, Prakash Chandra Sharma, Varun Bajaj, Sanjiv, Sharma, Rohit Raja |
Granted |
|
Alarm Buzzer For Baby Fall Protector Bed |
2021 |
|
Deevesh Chaudhary, Prakash Chandra Sharma, Dinesh Kumar Saini, Varun Bajaj, Vijay Prakash Sharma, |
Granted |
