Profile

Associate Professor in the field of Electronics & Communications Engineering

Varun Bajaj (PhD, SMIEEE20) is working as a Associate Professor in the discipline of Electronics and Communication Engineering, at Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since July 2021. He worked as Assistant Professor in IIITDM Jabalpur from March 2014 to July 2021. He also worked as a visiting faculty in IIITDM Jabalpur from September 2013 to March 2014. He worked as Assistant Professor at Department of Electronics and Instrumentation, Shri Vaishnav Institute of Technology and Science, Indore, India during 2009-2010. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He received M.Tech. Degree with Honors in Microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009, B.E. degree in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2006. He is an Associate Editor of IEEE Sensor Journal and Subject Editor-in-Chief of IET Electronics Letters. He served as a Subject Editor of IET Electronics Letters from Nov -2018 to June 2020. He is Senior Member IEEE June 2020, MIEEE 16-20, and also contributing as active technical reviewer of leading International journals of IEEE, IET, and Elsevier, etc. He has authored more than 110 research papers in various reputed international journals/conferences like IEEE Transactions, Elsevier, Springer, IOP etc. He has seven edited Books in IOP, CRC Press (Taylor & Francis Group) and Elsevier Publisher. The citation impact of his publications is around 2927 citations, h index of 27, and i10 index of 67 (Google Scholar). He has guided Eight (04 completed and 4 In-process) PhD Scholars, 6 M. Tech. Scholars. He is a recipient of various reputed national and international awards. His research interests include biomedical signal processing, image processing, time-frequency analysis, and computer-aided medical diagnosis.

Signal processing application in biomedical, Time-frequency analysis, Artificial Intelligence.

  • PhD

    Indian Institute of Technology, Indore, India
    Analysis and classifi cation of EEG signals using novel features based on non-stationary signal decompositions.

  • July 2021- Associate Professor

    Indian Institute of Information Technology, Design and Manufacturing Jabalpur, India

  • May 2017-July 2021 Assistant Professor Grade-I

    Indian Institute of Information Technology, Design and Manufacturing Jabalpur, India

  • March 2014-May 2017 Assistant Professor Grade-II

    Indian Institute of Information Technology, Design and Manufacturing Jabalpur, India

  • Sep 2013-March 2014 Visiting faculty

    Indian Institute of Information Technology, Design and Manufacturing Jabalpur, India

  • June 2009-June 2010 Assistant Professor

    SVITS Indore

  • Nov 2016-nov 2018 Industry Cell committee of IIITDM Jabalpur

  • Feb 2017-nov 2018 Committee member of PBI , IIITDM Jabalpur

  • Jan 2016-30 June 2018 Co-coordinator of Time table committee of IIITDM Jabalpur

  • June 2016-15 Oct 2017 Faculty In-charge of Central Mess of IIITDM Jabalpur

  • 06-09-2019-till now GEM Buyer For ECE Department

  • Paper entitled, Separation of rhythms of EEG signals based on Hilbert-Huang transformation with application to seizure detection is selected as the best paper award in ICHIT 2012, South Korea.

  • Paper entitled, Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition is selected in the top 20 articles in BioMedLib 2011.

  • Editorial Services

    Associate Editor: IEEE Sensors Journal Since 1 August 2020

  • Editorial Services

    Subject Editor-in-Chief: IET Electronics Letters 12 June 2020- till now

  • Editorial Services

    Associate Editor: Biomedical Signal Processing (specialty section of Frontiers in Signal Processing)

  • Editorial Services

    Subject Editor: IET Electronics Letters nov 2018-11 June 2020 Senior Member: IEEE June 2020 Member: IEEE 2018-June 2020 Special Issue: Current Trends in Cognitive Science and Brain Computing Research and Applications In Electronics Letters 2020

My courses

Current & Previous

Course Code Course name Category Institute Department Link
EC314c Biomedical Instrumentation UG/PhD IIITDM jabalpur Electronics & Communication Engineering
EC204 Signals and Systems UG/ Electronics & Communication Engineering
EC513 Advance Time Frequency Analysis PG/PhD IIITDM jabalpur Electronics & Communication Engineering
EC310b Digital System Design UG/ IIITDM jabalpur Electronics & Communication Engineering
EC203 Network analysis and Synthesis UG/ IIITDM jabalpur Electronics & Communication Engineering
EC308b Digital Signal Processing UG/ IIITDM jabalpur Electronics & Communication Engineering
EC602/EC422b Application of Signal and Image Processing PG/PhD IIITDM jabalpur Electronics & Communication Engineering
EC306f Time Frequency Analysis UG/PG/PhD IIITDM jabalpur Electronics & Communication Engineering
EC512 Multirate Signal Processing PG/PhD IIITDM jabalpur Electronics & Communication Engineering
ES204 Engineering Drives and Devices UG/ IIITDM jabalpur Electronics & Communication Engineering
ES101 Fundamentals of Electrical & Electronics UG/ IIITDM jabalpur Electronics & Communication Engineering
Elective3 EMFs Biomedical Signal Processing PG/PhD IIITDM jabalpur Electronics & Communication Engineering
ES101Lab Fundamental Electrical and Electronics Lab UG/ IIITDM jabalpur Electronics & Communication Engineering
IT102Lab MATLAB Software Lab UG/ IIITDM jabalpur Electronics & Communication Engineering
IT101 Lab MATLAB Lab 1 year UG/ IIITDM jabalpur Electronics & Communication Engineering
EC624 Adaptive Signal Processing PG/PhD IIITDM jabalpur Electronics & Communication Engineering
EC612 Pattern Classification UG/PhD IIITDM jabalpur Electronics & Communication Engineering
Course Code Course name Category Institute

Research

Areas or Specialisation / Project Activities / Publications / Books

Signal Processing

  • Brain computer interface for classification of human emotions, completed 10-2016 to 12-2018

    V. Bajaj(PI), Research Initiation Grant In IIITDM Jabalpur 1 Lakh, Completed 4-10-2016 to 4-12-2018.

  • FPGA prototype of non-recursive key based cryptosystem for secure transmission of real-time privacy signal,

    V. Bajaj(PI) and Sraban Kumar Mohanti (Co-PI) DST/ICPS-Individual/2018/819(G), 14-12-2018, PI nominated 10-02-2020, 25 Lakh.

  • Computer Aided Design for ............................. using ECG Signals.

    V. Bajaj(PI) CSIR Project 26.5 Lakh 1-11-2020 to 2023

  • Implementation of Honeywell Automation India Limited (signal processing based solution)

    V. Bajaj(PI), As a consultant from Siya consultancy, Jabalpur for project , amount 10000Rs Dec-2016 to Feb 2017.

  • Implementation of signal and image processing algorithm for related application

    Varun Bajaj and Irshad Ahmad Anasari, from J Organization UP amount 1 Lakh Rs 13-07-2020 for 2 years.

  • Patent 2

    Patent number: 2020103853, Title of invention: DYNAMIC DIGITAL TWIN SYSTEM AND A METHOD OF OPERATING THEREOF, Eight years from 2 December 2020, Granted 27 January 2021.

  • Patent 1

    Harshit Garg, Siddhant Lohia, Kuhu Pyasi & Varun Bajaj Indian Patent Application No: 202121001774, Date of Filing: 14/01/2021.

Book
[1] Varun Bajaj and GR Sinha (Editors), Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-1, IOP Series in Physics and Engineering in Medicine and Biology, DOI 10.1088/978-0-7503-3279-8, 382pp, Auguest 2020

[2] Varun Bajaj and GR Sinha (Editors), 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, https://iopscience.iop.org/bookListInfo/physics-engineering-medicine-biology-series


[3] Varun Bajaj and GR Sinha (Editors), Computer-aided Design and Diagnosis Methods for Biomedical Applications, CRC Taylor \& Francis Group Inpress, 2020-21. 978-0-367-63883-2/410018.

[4] Varun Bajaj and GR Sinha (Editors), Analysis of medical modalities for improved diagnosis in modern healthcare, CRC Taylor \& Francis Group Inpress, 2021.

[5] Varun Bajaj, GR Sinha and Chinmay Chakraborty (Editors), Biomedical Signal Processing for Healthcare Applications, Series: Emerging Trends in Biomedical Technologies and Health informatics CRC Taylor \& Francis Group Inpress, 2021.

[6] Irshad Ahmad Ansari, and Varun Bajaj (Editors), Advanced Security Solutions for Multimedia, IOP Books, Submitted 2021.

[7] Varun Bajaj (Editors) and Irshad Ahmad Ansari, High performance computing for Intelligent Medical Systems, IOP Books In-process, 2021.

[8] Varun Bajaj and GR Sinha (Editors), Artificial Intelligence based Brain Computer Interface (BCI), Elsevier In-process,, 2021.




Book Chapter
[7] 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 Press, 2020

[6] 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, 1-25, Computer-aided Design and Diagnosis Methods for Biomedical Applications, CRC Press, 2020

[5] G R Sinha, Varun Bajaj, Data Deduplication Applications in Cognitive Science and Computer Vision Research, Data Deduplication Approaches: Concepts, Strategies, and Challenges (Elsevier) 2020.

[4] 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

[3] 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.


[2] 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.


[1] Varun Bajajand 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.

  • 85 Smith K. Khare, Varun Bajaj, U. Rajendra Acharya, PDCNNet: An automatic framework for the detection of Parkinson's Disease using EEG signals, IEEE Sensor Journal, SCI, Q1, 2021, Accepted, 3.074.

  • 84 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, SCI, Q1, https://doi.org/10.1016/j.apacoust.2021.108164, 2021, 2.44.

  • 83 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, Volume 41, Issue 2, pp. 679-689, SCIE, Q2, https://doi.org/10.1016/j.bbe.2021.04.008, 2021, 2.537.

  • 82 Sachin Taran, Varun Bajaj, GR Sinha and Kamal Polat, Detection of Sleep Apnea Events using Electroencephalogram signals Applied Acoustics, 181, 108137, SCI, Q1, https://doi.org/10.1016/j.apa coust.2021.108137, 2021, 2.44.

  • 81 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, SCI, Q1 10.1109/TIM.2021.3070608, 2021, 3.

  • 80 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, Volume 176, 114884, SCIE, Q1, https://doi.org/10.1016/j.eswa.2021.114884, 2021, 5.54

  • 79 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, Vol 176, 15 August 2021, 114880, SCIE, Q1, https://doi.org/10.1016/j.eswa.2021.114880, 2021, 5.542

  • 78 Smith K. Khare, and Varun Bajaj. 2020. Time-Frequency Representation And Convolutional Neural Network-Based Emotion Recognition. IEEE Transactions On Neural Networks And Learning Systems, 1-9. doi:10.1109/tnnls.2020.3008938. 8.793 SCI Q1

    77 Smith K. Khare, Varun Bajaj 2020. Optimized Tunable Q Wavelet Transform Based Drowsiness Detection From Electroencephalogram Signals. IRBM. doi:10.1016/j.irbm.2020.07.005. 1.022 SCIE Q3
    76 Smith K. Khare, Varun Bajaj Entropy based Drowsiness Detection using Adaptive Variational Mode Decomposition IEEE Sensors Journal, 21, 5, March1, 1 2021 pp. 6421-6428 DOI: 10.1109/JSEN.2020.3038440, 3.07 SCI Q1
    75 Agrawal, N., A. Kumar, Varun Bajaj, and G.K. Singh. 2020. Design Of Digital IIR Filter: A Research Survey. Applied Acoustics 172: 107669. doi:10.1016/j.apacoust.2020.107669. 2.44 SCIE Q1
    74 Smith K. Khare, Varun Bajaj, and G. R. Sinha. 2020. Adaptive Tunable Q Wavelet Transform Based Emotion Identification. IEEE Transactions On Instrumentation And Measurement, 69, 12, Dec. 2020, pp 9609 - 9617 doi:10.1109/tim.2020.3006611. 3.67 SCI Q1
    73 Mohdiwale, Samrudhi, Mridu Sahu, G. R. Sinha, and Varun Bajaj. 2020. Automated Cognitive Workload Assessment Using Logical Teaching Learning-Based Optimization And PROMETHEE Multi-Criteria Decision Making Approach. IEEE Sensors Journal 20 (22): 13629-13637. doi:10.1109/ jsen.2020.3006486. 3.07 SCI Q1
    72 Sachin Taran, Prakash Chandra Sharma, and Varun Bajaj. 2020. Automatic Sleep Stages Classification Using Optimize Flexible Analytic Wavelet Transform. Knowledge-Based Systems 192: 105367. doi:10.1016/j.knosys.2019.105367. 5.101
    71 Varun Bajaj, G R Sinha, Siuly Siuly and Abdulkadir Sengur Current Trends in Cognitive Science and Brain Computing Research and Applications, Editorial, ELECTRONICS LETTERS 10th December 2020 Vol.56 No.25, 1354-1355.
    70 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. 1910-1924 Q1 SCI 10.1109/TFUZZ.2019.2924396 2020 published 9.518
    69 Siuly Siuly, Smith K. Khare, Varun Bajaj, Hua Wang, and Yanchun Zhang. 2020. A Computerized Method For Automatic Detection Of Schizophrenia Using EEG Signals. IEEE Transactions On Neural Systems And Rehabilitation Engineering, 28,11, 2390-2400, No 2020 doi:10.1109/tnsre.2020.3022715. 3.34 SCI Q1,
    68 Anurag Nishad, Abhay Upadhyay, Reddy Ravi Shankar G.; Varun, Bajaj, 2020 Classification of epileptic EEG signals using sparse spectrum based empirical wavelet transform, Electronics Letters. Vol. 56 No. 25 pp. 1370â??1372, 1.232 SCI Q2
    67 Smith K. Khare, and Bajaj Varun 2020 An Evolutionary Optimized Variational Mode Decomposition for Emotion Recognition, IEEE Sensors Journal, 21(2), 2035-2042, 2020 doi: 10.1109/JSEN.2020.3020915. 3.07 SCI Q1

    66 Smith K. Khare, Nishad Anurag, Upadhyay Abhay, Varun Bajaj 2020. 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 pp. 1370â??1372, DOI: 10.1049/el.2020.2380, 1.232 SCI Q2
    65 M Murugappan, W Alshuaib, AK Bourisly, SK Khare, S Sruthi, Varun Bajaj (2020) Tunable Q wavelet transform based emotion classification in Parkinsons disease using Electroencephalography. PLoS ONE 15(11): e0242014. https://doi.org/ 10.1371/journal.pone.0242014
    64 Smith K Khare, Varun Bajaj 2020. A facile and flexible motor imagery classification using electroencephalogram signals, Computer Methods and Programs in Biomedicine, Volume 197, 105722, 3.632 SCI Q1
    63 Silvia Liberata Ullo, Smith K. Khare, Varun Bajaj, and G. R. Sinha. 2020. Hybrid Computerized Method For Environmental Sound Classification. IEEE Access 8: 124055-124065. doi:10.1109/access.2020.3006082. 3.67 SCI Q1
    62 Santhos Kumar A., A. Kumar, Varun Bajaj, and G. K. Singh. 2020. MccullochS Algorithm Inspired Cuckoo Search Optimizer Based Mammographic Image Segmentation. Multimedia Tools And Applications 79 (41-42): 30453-30488. doi:10.1007/s11042-020-09310-w. 2.313 SCI Q1
    61 Sethu Venkata Raghavendra Kommuri, Himanshu Singh, Anil Kumar, and Varun Bajaj. 2020. Bidimensional Empirical Mode Decomposition-Based Diffusion Filtering For Image Denoising. Circuits, Systems, And Signal Processing 39 (10): 5127-5147. doi:10.1007/s00034-020-01404-y. 1.681 SCIE Q2
    60 Smith K. Khare, and Varun Bajaj. 2020. Constrained Based Tunable Q Wavelet Transform For Efficient Decomposition Of EEG Signals. Applied Acoustics 163: 107234. doi:10.1016/j.apacoust.2020.107234. 2.44 SCIE Q1
    59 Varun Bajaj, Sachin Taran, Smith K. Khare, and Abdulkadir Sengur. 2020. Feature Extraction Method For Classification Of Alertness And Drowsiness States EEG Signals. Applied Acoustics 163: 107224. doi:10.1016/j.apacoust.2020.107224. 2.44 SCIE Q1
    58 Shalu Chaudhary, Sachin Taran, Varun Bajaj, and Siuly Siuly. 2020. A Flexible Analytic Wavelet Transform Based Approach For Motor-Imagery Tasks Classification In BCI Applications. Computer Methods And Programs In Biomedicine 187: 105325. doi:10.1016/j.cmpb.2020.105325. 3.632 SCI Q1
    57 N. Agrawal, A. Kumar, and Varun Bajaj. 2020. Design Of Infinite Impulse Response Filter Using Fractional Derivative Constraints And Hybrid Particle Swarm Optimization. Circuits, Systems, And Signal Processing 39 (12): 6162-6190. doi:10.1007/s00034-020-01456-0. 1.681 SCIE Q2
    56 Sachin Taran, and Varun Bajaj. 2020. Sleep Apnea Detection Using Artificial Bee Colony Optimize Hermite Basis Functions For EEG Signals. IEEE Transactions On Instrumentation And Measurement 69 (2): 608-616. doi:10.1109/tim.2019.2902809. 3.607 SCI Q1
    55 Nikhil Agrawal, Anil Kumar, and Varun Bajaj. 2020. A New Design Approach For Nearly Linear Phase Stable IIR Filter Using Fractional Derivative. IEEE/CAA Journal Of Automatica Sinica 7 (2): 527-538. doi:10.1109/jas.2020.1003054. 5.129 SCImago, SCIE Q1
    54 Zafer Comert, Abdulkadir Sengur, Yaman Akbulut, Umit Budak, Adnan Fatih Kocamaz, and Varun Bajaj. 2020. Efficient Approach For Digitization Of The Cardiotocography Signals. Physica A: Statistical Mechanics And Its Applications 537: 122725. doi:10.1016/j.physa.2019.122725. 2.924 SCOPUS Q2
    53 C. Sravani, Varun Bajaj, S. Taran, and A. Sengur. 2020. Flexible Analytic Wavelet Transform Based Features For Physical Action Identification Using Semg Signals. IRBM 41 (1): 18-22. doi:10.1016/j.irbm.2019.07.002. 1.022 SCIE Q3
    52 Saad Ahmad, Shubham Agrawal, Samta Joshi, Sachin Taran, Varun Bajaj, Fatih Demir, and Abdulkadir Sengur. 2020. Environmental Sound Classification Using Optimum Allocation Sampling Based Empirical Mode Decomposition. Physica A: Statistical Mechanics And Its Applications 537: 122613. doi:10.1016/j.physa.2019.122613. 2.924 SCOPUS Q2
    51 Sravani Chada, Sachin Taran, and Varun Bajaj. 2019. An Efficient Approach For Physical Actions Classification Using Surface EMG Signals. Health Information Science And Systems 8 (1). doi:10.1007/s13755-019-0092-2. SCImago Q1
    50 Fatih Demir, Abdulkadir Sengur, Varun Bajaj, and Kemal Polat. 2019. Towards The Classification Of Heart Sounds Based On Convolutional Deep Neural Network. Health Information Science And Systems 7 (1). doi:10.1007/s13755-019-0078-0. SCImago Q1
    49 Fatih Demir, Varun Bajaj, Melih C. Ince, Sachin Taran, and Abdulkadir Sengur. 2019. Surface EMG Signals And Deep Transfer Learning-Based Physical Action Classification. Neural Computing And Applications 31 (12): 8455-8462. doi:10.1007/s00521-019-04553-7. 4.774 SCIE Q1
    48 Santhos A Kumar, Varun Bajaj, Anil Kumar, and Girish Kumar Singh. 2019. A Novel Pectoral Muscle Segmentation From Scanned Mammograms Using EMO Algorithm. Biomedical Engineering Letters 9 (4): 481-496. doi:10.1007/s13534-019-00135-7. 3.424 SCOPUS, SCImago Q2
    47 Umit Budak, Varun Bajaj, Yaman Akbulut, Orhan Atila, and Abdulkadir Sengur. 2019. An Effective Hybrid Model For EEG-Based Drowsiness Detection. IEEE Sensors Journal 19 (17): 7624-7631. doi:10.1109/jsen.2019.2917850. 3.07 SCI Q1
    46 Varun Bajaj, Sachin Taran, Erkan Tanyildizi, and Abdulkadir Sengur. 2019. Robust Approach Based On Convolutional Neural Networks For Identification Of Focal EEG Signals. IEEE Sensors Letters 3 (5): 1-4. doi:10.1109/lsens.2019.2909119. Scopus Q1
    45 Sachin Taran, and Varun Bajaj. 2019. 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: 157-165. doi:10.1016/j.cmpb.2019.03.015. 3.632 SCI Q1

    44 Siuly Siuly, Varun Bajaj, Abdulkadir Sengur, and Yanchun Zhang. 2019. An Advanced Analysis System For Identifying Alcoholic Brain State Through EEG Signals. International Journal Of Automation And Computing 16 (6): 737-747. doi:10.1007/s11633-019-1178-7. 2.29 Scopus Q2
    43 Shalu Chaudhary, Sachin Taran, Varun Bajaj, and Abdulkadir Sengur. 2019. Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification. IEEE Sensors Journal 19 (12): 4494-4500. doi:10.1109/jsen.2019.2899645. 3.07 SCI Q1
    42 S. Pare, A. Kumar, V. Bajaj, and G. K. Singh. 2019. A Context Sensitive Multilevel Thresholding Using Swarm Based Algorithms. IEEE/CAA Journal Of Automatica Sinica, 1-16. doi:10.1109/jas.2017.7510697. 5.129 SCImago, SCIE Q1
    41 Siuly Siuly, Omer F. Alcin, Varun Bajaj, Abdulkadir Sengur, and Yanchun Zhang. 2019. Exploring Hermite Transformation In Brain Signal Analysis For The Detection Of Epileptic Seizure. IET Science, Measurement & Technology 13 (1): 35-41. doi:10.1049/iet-smt.2018.5358. 2.23 SCI Q2
    40 Anala Hari Krishna, Aravapalli Bhavya Sri, Kurakula Yuva Venkata Sai Priyanka, Sachin Taran, and Varun Bajaj. 2019. Emotion Classification Using EEG Signals Based On Tunable-Q Wavelet Transform. IET Science, Measurement & Technology 13 (3): 375-380. doi:10.1049/iet-smt.2018.5237. 2.23 SCI Q2

    39 Nikhil Agrawal, Anil Kumar, Varun Bajaj, and G. K. Singh. 2019. Design Of Bandpass And Bandstop Infinite Impulse Response Filters Using Fractional Derivative. IEEE Transactions On Industrial Electronics 66 (2): 1285-1295. doi:10.1109/tie.2018.2831184. 7.503 SCI Q1

    38 N. Agrawal, A. Kumar, and Varun Bajaj. 2019. A New Method For Designing Of Stable Digital IIR Filter Using Hybrid Method. Circuits, Systems, And Signal Processing 38 (5): 2187-2226. doi:10.1007/s00034-018-0959-5. 1.681 SCIE Q2
    37 Sachin Taran, and Varun Bajaj. 2018. Clustering Variational Mode Decomposition For Identification Of Focal EEG Signals. IEEE Sensors Letters 2 (4): 1-4. doi:10.1109/lsens.2018.2872415. Scopus Q1
    36 Sachin Taran, and Varun Bajaj. 2018. Drowsiness Detection Using Adaptive Hermite Decomposition And Extreme Learning Machine For Electroencephalogram Signals. IEEE Sensors Journal 18 (21): 8855-8862. doi:10.1109/jsen.2018.2869775. 3.07 SCI Q1
    35 S. Pare, A. Kumar, V. Bajaj, and G. K. SinghImage Segmentation Using Multilevel Thresholding: A Research Review. 2019. Iranian Journal Of Science And Technology, Transactions Of Electrical Engineering 44: 1-29. doi:10.1007/s40998-019-00251-1. 0.6 SCIE Q4
    34 Erkan Deniz, Abdulkadir Sengur, Zehra Kadiroglu, Yanhui Guo, Varun Bajaj, and Umit Budak. 2018. Transfer Learning Based Histopathologic Image Classification For Breast Cancer Detection. Health Information Science And Systems 6 (1). doi:10.1007/s13755-018-0057-x. SCImago Q1
    33 Varun Bajaj, Sachin Taran, and Abdulkadir Sengur. 2018. Emotion Classification Using Flexible Analytic Wavelet Transform For Electroencephalogram Signals. Health Information Science And Systems 6 (1). doi:10.1007/s13755-018-0048-y. SCImago Q1
    32 Sukumar Nagineni, Sachin Taran, and Varun Bajaj. 2018. Features Based On Variational Mode Decomposition For Identification Of Neuromuscular Disorder Using EMG Signals. Health Information Science And Systems 6 (1). doi:10.1007/s13755-018-0050-4. SCImago Q1
    31 Sachin Taran, and Varun Bajaj. 2018. Motor Imagery Tasks-Based EEG Signals Classification Using Tunable-Q Wavelet Transform. Neural Computing And Applications 31 (11): 6925-6932. doi:10.1007/s00521-018-3531-0. 4.774 SCIE Q1

    30 PU, Kiran, Abhiram N, Taran S, and Bajaj V. 2018. TQWT Based Features For Classification Of ALS And Healthy EMG Signals. American Journal Of Computer Science And Information Technology 06 (02). doi:10.21767/2349-3917.100019. 0.39
    29 Shweta Jain, Varun Bajaj, and Anil Kumar. 2018. Effective De-Noising Of ECG By Optimised Adaptive Thresholding On Noisy Modes. IET Science, Measurement & Technology 12 (5): 640-644. doi:10.1049/iet-smt.2017.0203. 2.23 SCI Q1
    28 Shweta Jain, Varun Bajaj, and Anil Kumar. 2018. Riemann Liouvelle Fractional Integral Based Empirical Mode Decomposition For ECG Denoising. IEEE Journal Of Biomedical And Health Informatics 22 (4): 1133-1139. doi:10.1109/jbhi.2017.2753321. 5.223 SCI Q1
    27 Anchala Priya, Pooja Yadav, Shweta Jain, and Varun Bajaj. 2018. Efficient Method For Classification Of Alcoholic And Normal EEG Signals Using EMD. The Journal Of Engineering 2018 (3): 166-172. doi:10.1049/joe.2017.0878. Emerging SCI

    26 Sachin Taran, and Varun Bajaj. 2018. Rhythm-Based Identification Of Alcohol EEG Signals. IET Science, Measurement & Technology 12 (3): 343-349. doi:10.1049/iet-smt.2017.0232. 2.23 SCI Q2

    25 Sachin Taran, Varun Bajaj, Dheeraj Sharma, Siuly Siuly, and A. Sengur. 2018. Features Based On Analytic IMF For Classifying Motor Imagery EEG Signals In BCI Applications. Measurement 116: 68-76. doi:10.1016/j.measurement.2017.10.067. 3.364 SCIE Q1

    24 N. Agrawal, A. Kumar, and Varun Bajaj. 2018. Design Of Digital IIR Filter With Low Quantization Error Using Hybrid Optimization Technique. Soft Computing 22 (9): 2953-2971. doi:10.1007/s00500-017-2548-0. 2.784 SCIE Q2
    23 S. Pare, A. K. Bhandari, A. Kumar, and V. Bajaj. 2017. Backtracking Search Algorithm For Color Image Multilevel Thresholding. Signal, Image And Video Processing 12 (2): 385-392. doi:10.1007/s11760-017-1170-z. 1.794 SCIE Q2
    22 Varun Bajaj, Mayank Pawar, Vinod Kumar Meena, Mukesh Kumar, Abdulkadir Sengur, and Yanhui Guo. 2017. Computer-Aided Diagnosis Of Breast Cancer Using Bi-Dimensional Empirical Mode Decomposition. Neural Computing And Applications 31 (8): 3307-3315. doi:10.1007/s00521- 017-3282-3. 4.774 SCIE Q1
    21 Sachin Taran„ Varun Bajaj, and Siuly Siuly. 2017. An Optimum Allocation Sampling Based Feature Extraction Scheme For Distinguishing Seizure And Seizure-Free EEG Signals. Health Information Science And Systems 5 (1). doi:10.1007/s13755-017-0028-7. SCImago Q1
    20 Abdulkadir Sengur, Yaman Akbulut, Yanhui Guo, and Varun Bajaj. 2017. Classification Of Amyotrophic Lateral Sclerosis Disease Based On Convolutional Neural Network And Reinforcement Sample Learning Algorithm. Health Information Science And Systems 5 (1). doi:10.1007/s13755- 017-0029-6. SCImago Q1
    19 Nikhil Agrawal, Anil Kumar, and Varun Bajaj. 2017. 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): 464-477. doi:10.1109/tetci.2017.2748151. 6.043 Q1
    18 S. Pare, A. Kumar, V. Bajaj, and G.K. Singh. 2017. An Efficient Method For Multilevel Color Image Thresholding Using Cuckoo Search Algorithm Based On Minimum Cross Entropy. Applied Soft Computing 61: 570-592. doi:10.1016/j.asoc.2017.08.039. 5.472 SCIE Q1
    17 sachin Taran, Varun Bajaj, and D. Sharma. 2017. Robust Hermite Decomposition Algorithm For Classification Of Sleep Apnea EEG Signals. Electronics Letters 53 (17): 1182-1184. doi:10.1049/el.2017.1365. 1.232 SCI Q2
    16 varun Bajaj, Khushnandan Rai, Anil Kumar, Dheeraj Sharma, and Girish Kumar Singh. 2017. Rhythm-Based Features For Classification Of Focal And Non-Focal EEG Signals. IET Signal Processing. doi:10.1049/iet-spr.2016.0435. 1.754 SCI Q2
    15 Vipin K. Mishra, Varun Bajaj, Anil Kumar, Dheeraj Sharma, and G.K. Singh. 2017. An Efficient Method For Analysis Of EMG Signals Using Improved Empirical Mode Decomposition. AEU - International Journal Of Electronics And Communications 72: 200-209. doi:10.1016/j.aeue.2016.12.008. 2.853 SCI Q2
    14 Varun Bajaj, Khushnandan Rai, Anil Kumar, and Dheeraj Sharma. 2017. Time-Frequency Image Based Features For Classification Of Epileptic Seizures From EEG Signals. Biomedical Physics & Engineering Express 3 (1): 015012. doi:10.1088/2057-1976/aa5199. Q3
    13 Shweta Jain, M.K. Ahirwal, Anil Kumar, Varun Bajaj, and G.K. Singh. 2017. QRS Detection Using Adaptive Filters: A Comparative Study. ISA Transactions 66: 362-375. doi:10.1016/j.isatra.2016.09.023. 4.343 SCI Q1
    12 N. Agrawal, A. Kumar, Varun Bajaj, and G. K. Singh. 2017. High Order Stable Infinite Impulse Response Filter Design Using Cuckoo Search Algorithm. International Journal Of Automation And Computing 14 (5): 589-602. doi:10.1007/s11633-017-1091-x. 2.29 Scopus Q2
    11 Vipin K. Mishra, Varun Bajaj, Anil Kumar, and Girish Kumar Singh. 2016. Analysis Of ALS And Normal EMG Signals Based On Empirical Mode Decomposition. IET Science, Measurement & Technology 10 (8): 963-971. doi:10.1049/iet-smt.2016.0208. 2.23 SCI Q2
    10 S. Jain, Varun Bajaj, and A. Kumar. 2016. Efficient Algorithm For Classification Of Electrocardiogram Beats Based On Artificial Bee Colony-Based Least-Squares Support Vector Machines Classifier. Electronics Letters 52 (14): 1198-1200. doi:10.1049/el.2016.1171. 1.232 SCI Q2
    9 Shweta Jain, Varun Bajaj, and Anil Kumar. 2016. Technique For QRS Complex Detection Using Particle Swarm Optimisation. IET Science, Measurement & Technology 10 (6): 626-636. doi:10.1049/iet-smt.2016.0023. 2.23 SCI Q2
    8 Omer F. Alcin„ Siuly Siuly, Varun Bajaj, Yanhui Guo, Abdulkadir Sengur, and Yanchun Zhang. 2016. Multi-Category EEG Signal Classification Developing Time-Frequency Texture Features Based Fisher Vector Encoding Method. Neurocomputing 218: 251-258. doi:10.1016/j.neucom.2016.08.050. 4.437 SCIE Q1
    7 Varun Bajaj, Yanhui Guo, Abdulkadir Sengur, Siuly Siuly, and Omer F. Alcin. 2016. A Hybrid Method Based On Time-Frequency Images For Classification Of Alcohol And Control EEG Signals. Neural Computing And Applications 28 (12): 3717-3723. doi:10.1007/s00521-016-2276-x. 4.774 SCIE Q1
    6 Pare, S., A. Kumar, V. Bajaj, and G.K. Singh. 2016. A Multilevel Color Image Segmentation Technique Based On Cuckoo Search Algorithm And Energy Curve. Applied Soft Computing 47: 76-102. doi:10.1016/j.asoc.2016.05.040. 5.472 SCIE Q1
    5 Varun Bajaj, and Anil Kumar. 2015. Features Based On Intrinsic Mode Functions For Classification Of EMG Signals. International Journal Of Biomedical Engineering And Technology 18 (2): 156. doi:10.1504/ijbet.2015.070035. 0.13 Scopus Q4
    4 Varun Bajaj, and Ram Bilas Pachori. 2013. Automatic Classification Of Sleep Stages Based On The Time-Frequency Image Of EEG Signals. Computer Methods And Programs In Biomedicine 112 (3): 320-328. doi:10.1016/j.cmpb.2013.07.006. 3.632 SCI Q1
    3 Varun Bajaj, and Ram Bilas Pachori. 2013. Epileptic Seizure Detection Based On The Instantaneous Area Of Analytic Intrinsic Mode Functions Of EEG Signals. Biomedical Engineering Letters 3 (1): 17-21. doi:10.1007/s13534-013-0084-0. 3.424 SCOPUS, SCImago Q2
    2 Varun Bajaj, and R. B. Pachori. 2012. Classification Of Seizure And Nonseizure EEG Signals Using Empirical Mode Decomposition. IEEE Transactions On Information Technology In Biomedicine 16 (6): 1135-1142. doi:10.1109/titb.2011.2181403. 2.493 SCI Q1
    1 Ram Bilas Pachori, and Varun Bajaj. 2011. Analysis Of Normal And Epileptic Seizure EEG Signals Using Empirical Mode Decomposition. Computer Methods And Programs In Biomedicine 104 (3): 373-381. doi:10.1016/j.cmpb.2011.03.009. 3.632 SCI Q1

M. Tech./M.Des.

Ph. D.

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    Varun Bajaj

     varunb@iiitdmj.ac.in

     

     

     

     Varunb@iiitdmj.ac.in

     

      +91-761-2794470

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