Profile

Assistant Professor in the field of Electronics & Communications Engineering

Dr. Varun Bajaj received the M.Tech. (Hons.) degree in microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India. He received the Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India. Presently, he is working as Assistant Professor with the Discipline of Electronics and Communication Engineering, at Indian Institute of Information Technology, design and Manufacturing Jabalpur, Jabalpur, India. His research interests include biomedical signal processing, image Processing and time-frequency analysis, speech processing. He has authored more than 80 research papers in various reputed international journals/conferences like IEEE Transactions, Elsevier, Springer, IOP etc. He is a recipient of various reputed national and international awards. He is also serving as a Subject Editor of IET Electronics letters and active technical reviewer of leading International journals like IEEE, IET, and Elsevier, etc.

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.

  • Sep 2013-tillnow Assistant Professor

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

  • june 2009-june 2010 Assistant Professor

    SVITS Indore

  • Nov 2016-Till now Industry Cell committee of IIITDM Jabalpur

  • Feb 2017-Till now 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

  • 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.

  • Subject Editor; Electronics Letters

    3 years

    http://digital-library.theiet.org/journals/el/editors

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

    Emotion EEG dataset: http://web.iiitdmj.ac.in/~varunb/Emotion%20EEG%20dataset.pdf EULA: http://web.iiitdmj.ac.in/~varunb/EULA.pdf

  • Siya consultancy, Jabalpur

    Project implementation of Honeywell Automation India Limited (signal processing based solution), Dec-2016 to Feb 2017.

[1] 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..
[2] V. Bajaj and R.B. Pachori, Separation of rhythms of EEG signals based on Hilbert-Huang transformation with application to seizure detection, In: G. Lee et al. (Eds.) Convergence and Hybrid Information Technology, Lecture Notes in Computer Science by Springer-Verlag, Germany, 2012. (Conference paper published as a book chapter)
[3] V. Bajaj and R.B. Pachori, EEG signal classification using empirical mode decomposition and support vector machine, In: K. Deep et al. (Eds.) SocProS 2011, Advances in Intelligent and Soft Computing by Springer-Verlag, Germany, 2012. (Conference paper published as a book chapter).

  • [50] 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, june 2019 Impact factor 8.5.
    [49] Abdulkadir Sengur, Varun Bajaj, Yaman Akbulut, Orhan Atilla, Umit Budak An Effective Hybrid Model for EEG-Based Drowsiness Detection, IEEE Sensor Journal Accepted 16-05-2019.
    [48] 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 2019
    [47] 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 Volume 173, May 2019, pp. 157-165.
    [46] 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, 2019.
    [45] Sachin Taran, Varun Bajaj, Sleep Apnea Detection using Artificial Bee Colony Optimize Hermite Basis Functions for EEG Signals, IEEE Transactions on Instrumentation & Measurement, Accepted 2019.
    [44] Shalu Chaudhary, Sachin Taran, Varun Bajaj, Abdulkadir Sengur Convolutional Neural Network Based Approach Towards Motor Imagery Tasks EEG Signals Classification, IEEE Sensors Journal 2019
    [43] 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 and Technology, Volume 13, Issue 1, January 2019, p. 35 – 41.
    [42]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, Dec 2018.
    [41] 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, 2018
    [40] Nikhil Agrawal, Anil Kumar; Varun Bajaj, A New Method for Designing of Stable Digital IIR Filter using Hybrid Method, Circuits, Systems and Signal Processing (CSSP) 2018.
    [39] Sachin Taran, and Varun Bajaj, Clustering Variational Mode Decomposition for Identification of Focal EEG Signals, IEEE Sensors Letters, Volume: 2, Issue:4, pp.1-4, Sep 2018.
    [38] Sachin Taran, and Varun Bajaj, Drowsiness Detection using Adaptive Hermite Decomposition and Extreme Learning Machine for Electroencephalogram Signals, IEEE Sensors Journal, VOL. 18, NO. 21, NOVEMBER 1, 2018, pp. 8855-8862.
    [37] 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 acccepted for publication 2018.
    [36] Yanhui, Guo, A sengur, Varun Bajaj, Transfer Learning Based Histopathologic Image Classification for Breast Cancer Detection, Health Information Science and Systems, 6:18, Sep 2018.
    [35] Varun Bajaj, Sachin Taran and Abdulkadir Sengur, Emotion classification using flexible analytic wavelet transform for electroencephalogram signals, Health Information Science and Systems, Sep 18;6(1):12, 2018.
    [34] 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, Sep 20;6(1):13, Sep 2018.
    [33] Sachin Taran, Varun Bajaj, Motor Imagery Tasks based EEG Signals Classification using Tunable-Q Wavelet Transform, Neural Computing and Applications, May 2018, DOI https://doi.org/10.1007/s00521-018-3531-0.

    [32] 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, Volume: 66, Issue:2 pp. 1285-1295, April 2018.
    [31] Podugu Uday Kiran, Nunna Abhiram, Sachin Taran and Varun Bajaj, TQWT based features for classification of ALS and healthy EMG signals, American Journal of Computer Science and Information Technology Vol.6 No.2:19 April 2018.
    [30] Shweta Jain, Varun Bajaj, and Anil Kumar, Effective denoising of ECG by optimized adaptive thresholding on noisy modes, IET Science, Measurement and Technology, 10.1049/iet-smt.2017.0203, Volume 12, Issue 5, August 2018, p. 640-644.
    [29] 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, IEEE Journal of Biomedical and Health Informatics, VOL. 22, NO. 4, JULY 2018, 10.1109/JBHI.2017.2753321.
    [28] Anchala Priya, Pooja Yadav, Shweta Jain, Varun Bajaj, An efficient method for classification of alcoholic and normal EEG signals using EMD, IET The Journal of Engineering, Volume 2018, Issue 3, March 2018, p. 166 – 172.
    [27] Sachin Taran, Varun Bajaj, Rhythm based identification of alcohol EEG signals, IET Science, Measurement and Technology, 10.1049/iet-smt.2017.0232, 2018, Vol. 12 Iss. 3, pp. 343-349, May 2018.
    [26] 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, Feb 2018, 68-76.
    [20] S. Pare, A. K. Bhandari, A. Kumar, and Varun Bajaj, Backtracking search algorithm for color image multilevel thresholding, Signal, Image and Video Processing, Springer Signal, Image and Video Processing February 2018, Volume 12, Issue 2, pp 385–392 https://doi.org/10.1007/s11760-017-1170-z.


    [24] Varun Bajaj, Mayank Pawar, Vinod Kumar Meena, Mukesh Kumar, Abdulkadir Sengur, and Yanhui Guo, Computer Aided Diagnosis of Breast Cancer using Bi-dimensional Empirical Mode Decomposition, Neural Computing and Applications, 1-9, Nov 2017, https://doi.org/10.1007/s00521-017-3282-3.
    [23]Sachin Taran, Varun Bajaj, Siuly SIULY, An optimum allocation sampling based feature extraction scheme for distinguishing seizure and non-seizure EEG signals, Health Information Science and Systems, Oct 2017, 5:7 DOI 10.1007/s13755-017-0028-7
    [22] 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, Oct 2017, 5:9 DOI 10.1007/s13755-017-0029-6
    [21] 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, Volume: 1, Issue: 6, Dec. 2017, 464-477.
    [20] Shreya Pare, Anil Kumar, Varun Bajaj, Girish Kumar Singh, A context sensitive multilevel thresholding using swarm based algorithms, IEEE/CAA Journal of Automatica Sinica, Vol. PP, Issue 99, pp. 1-16, 04 December 2017.
    [19] 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, Volume 61, December 2017, pp. 570-592, 2017.
    [18] Sachin Taran, Varun Bajaj, and D Sharma, Robust Hermite decomposition algorithm for classification of sleep apnea EEG signals, IEEE Electronics Letters ISSN No: 0013-5194, Impact Factor 0.93 (SCI), Volume 53, 17 August 2017, pp. 1182 – 1184.
    [17] 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 ISSN: 1751-9683, Impact Factor: 0.873, Volume 11, Issue 6, August 2017, p. 743-748. 10.1049/iet-spr.2016.0435.
    [16] N. Agrwal, A. Kumar, and Varun Bajaj, Design of Digital IIR Filter with Low Quantization Error using Hybrid Optimization Technique, Soft Computing, ISSN: 1433-7479, Impact Factor: 1.63, 1-17, March 2017, 10.1007/s00500-017-2548-0.
    [15] 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), October 2017, 589-602.
    [14] V. K Mishra, Varun Bajaj, A. Kumar, D. Sharma and G. K. Singh, An efficient method for analysis of EMG signals using improved empirical mode decomposition, AEU-International Journal of Electronics and Communications, ISSN: 1434-8411, Impact Factor: 0.786, Volume 72, February 2017, Pages 200-209.
    [13] Varun Bajaj, Khushnandan Rai, Anil Kumar, and Dheeraj Sharma, Time-frequency image based features for classification of epileptic seizure from EEG signals, Biomedical Physics $\&$ Engineering Express, ISSN: 2057-976, Volume 3, Number 1, 20 January 2017.
    [12] S. Jain, Mitul Kumar Ahirwal, Anil Kumar, Varun BAJAJ, and G. K. Singh, QRS Detection using Adaptive Filters: A Comparative Study, ISA Transactions ISSN No: 0019-0578 Impact Factor: 2.6, Volume 66, January 2017, Pages 362-375.

    [11] Omer F. ALCIN, Siuly SIULY, Varun BAJAJ, Yanhui Guo, Abdulkadir SENGÜR, Yanchun Zhang, Multi-category EEG signal classification developing Time-Frequency Texture Features based Fisher Vector encoding method, Neurocomputing ISSN No: 0925-2312 Impact Factor: 2.392, vol. 218, 2016, 251–258.
    [10] 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 ISSN No: 1751-8822 Impact Factor 0.954, pp. 963- 971 Volume: 10, Issue: 8, 11 2016.
    [9] S Jain, Varun Bajaj, and A. Kumar, An efficient algorithm for classification of ECG beats based on ABC-LSSVM classifier, IEEE Electronics Letters ISSN No: 0013-5194 Impact Factor 0.93, (SCI) Vol. 52, Issue 14, 07 July 2016, pp. 1198-1200.
    [8] S Jain, A. Kumar, and Varun Bajaj, Technique for QRS complex detection using particle swarm optimization (PSO), IET Science, Measurement and Technology, ISSN No: 1751-8822 Impact Factor 0.954, Volume: 10, Issue: 6, 9 2016 pp. 626 - 636.
    [7] 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 ISSN No: 1433-3058 Impact Factor; 1.492, Neural Computing and Applications December 2017, Volume 28, Issue 12, pp 3717–3723.
    [6] 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 ISSN No: 1568-4946 Impact Factor: 2.857, 47, 76-102, 2016.
    [5] V. Bajaj and A. Kumar, Features based on intrinsic mode functions for classification of EMG signals, International Journal of Biomedical Engineering and Technology, Vol. 18, No. 2, pp. 156-167, 2015.
    [4] V. Bajaj and R.B. Pachori, Classification of seizure and nonseizure EEG signals using empirical mode decomposition, IEEE Transactions on Information Technology in Biomedicine ISSN No: 2168-2194 Impact Factor: 2.093, vol. 16, no. 6, pp. 1135-1142, 2012. IF-2.493.
    [3] 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, Elsevier ISSN No: 0169-2607 Impact Factor: 1.862, vol. 112, issue 3, pp. 320-328, 2013. IF-1.897.
    [2] 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, ISSN: 2093-9868 Impact factor: 0.89, vol. 3, issue 1, pp. 17-21, 2013.
    [1] R.B. Pachori and V. Bajaj, Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition, Computer Methods and Programs in Biomedicine, Elsevier ISSN No: 0169-2607 Impact Factor: 1.862, vol. 104, issue 3, pp. 373-381, 2011.

Contact me

Feel free to contact

    Varun Bajaj

     varunb@iiitdmj.ac.in

     

     

     

     Varunb@iiitdmj.ac.in

     

      +91-761-2794470

     (Fax) 91-

     Download CV

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