Profile

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 148 publications which include journal papers (95), conference papers (32), books (10), and book chapters (11). The citation impact of his publications is around 4442 citations, h index of 36, and i10 index of 89 (Google Scholar Sep 22). He has guided seven (05 completed and 3 In process) PhD Scholars, Eight M. Tech. Scholars. He has been listed as the world's top 2 % researchers/scientists by Stanford University, USA (October, 2020 and October, 2021). He has worked on research projects funded by DST and CSIR. He is a recipient of various reputed national and international awards. His research interests include Biomedical Signal Processing, AI in Healthcare, Brain Computer Interface, Pattern Recognition, ECG signal processing

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

  • 06-09-2019-20-09-2021 GEM Buyer For ECE Department

  • 19-08-2021-Till now Prof In Charge Communication Cell

  • 19-08-2021-Till now QIP Coordinator

    All administrative works related to QIP

  • 02-09-2021- Nodal Officer NKN

  • 21-09-2021-Till now GEM Buyer For Communication Cell

    All administrative works related to Communication cell

  • 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

  • Consultancy project

    1 Completed 2 Ongoing

  • Research Project

    2 Completed 1 Ongoing

Book Chapters

11 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

10 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

9 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.

8 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

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 Taylor & Francis 2021

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, Computer-aided Design and Diagnosis Methods for Biomedical Applications (Accepted) CRC Taylor & Francis 2021

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 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.

  • Journal Publication: 95
    IEEE= 25; Elsevier=30; Springer= 23; IET= 13; Others= 4 (Publisher wise)
    Before 2015=5; 2016=8; 2017=9; 2018=15; 2019=14; 2020=23; 2021=11; 2022=10 (Years wise)
    SCI/SCIE/Scopus=91; Others=4 (Indexing wise)

    International Conference Publication: 32
    IEEE= 26 Springer: 5 Others: 1

    Details of publication: https://sites.google.com/view/drvarunbajaj/publications?authuser=0

    95 Kapil Gupta, Varun Bajaj, Deep Learning Models-Based CT-Scan Image Classification for Automated Screening of Covid-19, Biomedical Signal Processing and Control, SCI, Q1, 2022, 5.076.

    94 Anurodh Kumar, Varun Bajaj, Amit Vishwakarma, Classification of Colorectal Tissue Histopathological Images Using Improved Deep Convolutional Neural Network, Biomedical Signal Processing and Control, SCI, Q1 2022, 5.076.

    93 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, 71,4008310, SCI, Q1, 10.1109/TIM.2022.3204076 2022,5.332

    92 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, 784-796,42, SCI, Q1, https://doi.org/10.1016/j.bbe.2022.06.001 2022, 4.314

    91 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, SCI, 2022, Vol 22 Issue 9 pp. 8830-8837, 3.301 https://ieeexplore.ieee.org/document/9743391.

    90 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, SCI, Q1, 2022, Volume 246, 21 June 2022, 108620 , 8.038 https://doi.org/10.1016/j.knosys.2022.108620

    89 Rishi Sinhal, Sachin Sharma, Irshad Ahmad Ansari and Varun Bajaj, Multipurpose medical image watermarking for effective security solutions, Multimedia Tools and Applications, SCI, 81(10):14045-14063, https://doi.org/10.1007/s11042-022-12082-0, 2022. 2.7
    88 Kapil Gupta and Varun Bajaj, Automated Classification of Sleep Apnea using Deep Learning Model and Smoothed Gabor Spectrograms of ECG Signal IEEE Transactions on Instrumentation & Measurement, 71, 4002109, SCI, 10.1109/TIM.2021.3132072. 2022, 4.016.
    87 Smith K. Khare, Varun Bajaj, A hybrid decision support system for automatic detection of Schizophrenia using EEG signals, Computers in Biology and Medicine, 141, 105028, SCI, https://doi.org/10.1016/j.compbiomed.2021.105028, 2022, 4.589.
    86 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), 13-21, SCIE, https://doi.org/10.1016/j.irbm.2020.07.005, 2022, 1.856
    85 Smith K. Khare, Varun Bajaj, A Self-Learned Decomposition and Classification Model for Schizophrenia Diagnosis, Computer Methods and Programs in Biomedicine 211, 106480, SCI, https://doi.org/10.1016/j.cmpb.2021.106450, 2021, 5.428
    84 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, 22(15), 17017-17024, SCI, 0.1109/JSEN.2021.3080135, 2021, 3.301.
    83 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, https://doi.org/10.1016/j.apacoust.2021.108164, 2021, 2.639.
    82 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. 41, 2, 679-689, SCIE, https://doi.org/10.1016/j.bbe.2021.04.008, 2021, 4.314.
    81 Sachin Taran, Varun Bajaj, GR Sinha and Kamal Polat, Detection of Sleep Apnea Events using Electroencephalogram signals, Applied Acoustics, 181, 108137, SCI, https://doi.org/10.1016/j.apacoust.2021.108137, 2021, 2.639.
    80 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, 2507409, SCI, 10.1109/TIM.2021.3070608, 2021, 4.016.
    79 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 176, 114884, SCIE, https://doi.org/10.1016/j.eswa.2021.114884, 2021, 6.954.
    78 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, 176, 114880, SCIE, https://doi.org/10.1016/j.eswa.2021.114880, 2021, 6.954.
    77 Smith Khare, Varun Bajaj, Time-Frequency Representation and Convolutional Neural Network based Emotion Recognition, IEEE Transactions on Neural Networks and Learning Systems, 32, (7), 2901 - 2909, SCI, 10.1109/TNNLS.2020.3008938, 2021, 10.451.
    76 Smith K. Khare, Varun Bajaj, Entropy based Drowsiness Detection using Adaptive Variational Mode Decomposition, IEEE Sensor Journal, 21, 5, 6421-6428, SCI 10.1109/JSEN.2020.3038440, 2021, 3.301.
    75 N Agrawal, A Kumar, Varun Bajaj, GK Singh, Design of digital IIR filter: A research survey, Applied Acoustics, 172, 107669, SCIE, https://doi.org/10.1016/j.apacoust.2020.107669, 2021, 2.639.
    74 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 9609-9617, SCI, 10.1109/TIM.2020.3006611, 2020, 4.016
    73 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 Sensor Journal, 20(22) 13629 - 13637, SCI, 10.1109/JSEN.2020.3006486, 2020, 3.301
    72 Sachin Taran, Prakash Chandra Sharma, Varun Bajaj, Automatic Sleep Stages Classification using Optimize Flexible Analytic Wavelet Transform Knowledge-Based System 192, 105367, 1--8, SCI, https://doi.org/10.1016/j.knosys.2019.105367, 2020, 8.038
    71 Varun Bajaj, G R Sinha, Siuly Siuly, Abdulkadir ?engur, Current Trends in Cognitive Science and Brain Computing Research and Applications, Guest Editorial, Electronics Letters, Volume 56, Issue 25, 1354 – 1355, SCI, 10.1049/el.2020.2790, 2020, 1.316
    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, SCI, 10.1109/TFUZZ.2019.2924396, 2020, 12.029
    69 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) 2390-2400, SCI, 10.1109/TNSRE.2020.3022715, 2020, 3.802
    68 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, 1370–1372, SCI, 10.1049/el.2020.2526, 2020, 1.316
    67 Smith K. Khare, and Varun Bajaj, An Evolutionary Optimized Variational Mode Decomposition for Emotion Recognition, IEEE Sensors Journal, 21(2), 2035-2042, SCI, 10.1109/JSEN.2020.3020915, 2020, 3.301
    66 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, 1370–1372, SCI, 10.1049/el.2020.2380, 2020, 1.316
    65 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. Jan-17, Scopus, https://doi.org/ 10.1371/journal.pone.0242014, 2020
    64 Smith Khare, Varun Bajaj, A Facile and Flexible Motor Imagery Classification using Electroencephalogram Signals, Computer Methods and Programs in Biomedicine, Volume 197, December 2020, 105722, SCI, https://doi.org/10.1016/j.cmpb.2020.105722, 2020 , 5.428
    63 Silvia Liberata Ullo, Smith K. Khare, Varun Bajaj, and G. R. Sinha, Hybrid Computerized Method for Environmental Sound Classification, IEEE Access, VOLUME 8, 124055-65, SCI, 10.1109/ACCESS.2020.3006082, 2020, 3.367
    62 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, 30453–30488, SCI, https://doi.org/10.1007/s11042-020-09310-w, 2020, 2.757
    61 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, 5127–5147, SCIE, https://doi.org/10.1007/s00034-020-01404-y, 2020, 2.225
    60 Smith Khare, Varun Bajaj, Constrained based Tunable Q Wavelet Transform for Efficient Decomposition of EEG Signals, Applied Acoustics, 163, 07234, SCIE, https://doi.org/10.1016/j.apacoust.2020.107234, 2020, 2.639
    59 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, 107224, SCIE, https://doi.org/10.1016/j.apacoust.2020.107224, 2020, 2.639
    58 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, 105325, SCI,https://doi.org/10.1016/j.cmpb.2020.105325 , 2020, 5.428
    57 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, 6162–6190, SCIE, https://doi.org/10.1007/s00034-020-01456-0, 2020, 2.225
    56 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, 7(2), 527 - 538, SCIE, 10.1109/JAS.2020.1003054, 2020, 6.171
    55 Sachin Taran, Varun Bajaj, Sleep Apnea Detection Using Artificial Bee Colony Optimize Hermite Basis Functions for EEG Signals, IEEE Transactions on Instrumentation and Measurement, 69(02), 608-616, SCI, 10.1109/TIM.2019.2902809, 2020, 4.016
    54 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, 1--9, Scopus, https://doi.org/10.1016/j.physa.2019.122725, 2020, 3.263
    53 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), 18–22, SCIE, https://doi.org/10.1016/j.irbm.2019.07.002, 2020, 1.856
    52 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, 1--11, Scopus, 10.1016/j.physa.2019.122613, 2020, 3.263
    51 Sravani Chada, Sachin Taran, Varun Bajaj, An efficient approach for physical actions classification using surface EMG signals, Health Information Science and Systems, 8(03), 1--7, SCIE, https://doi.org/10.1007/s13755-019-0092-2, 2019
    50 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), 1--9, SCIE, https://doi.org/10.1007/s13755-019-0078-0, 2019
    49 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, 8455–8462, SCIE, https://doi.org/10.1007/s00521-019-04553-7, 2019, 5.606
    48 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, 9(4), 481–496, Scopus, https://doi.org/10.1007/s13534-019-00135-7, 2019,
    47 Umit Budak, Varun Bajaj, Yaman Akbulut, Orhan Atilla, Abdulkadir Sengur, An Effective Hybrid Model for EEG-Based Drowsiness Detection, IEEE Sensor Journal, 19(17), 7624-7631, SCI, 10.1109/JSEN.2019.2917850, 2019, 3.301
    46 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, 03//05, 2475-1472, Scopus, 10.1109/LSENS.2019.2909119 2019
    45 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, 157-165, SCI, https://doi.org/10.1016/j.cmpb.2019.03.015, 2019, 5.428
    44 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), 737-747, Scopus, https://doi.org/10.1007/s11633-019-1178-7, 2019
    43 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), 4494- 4500, SCI,10.1109/JSEN.2019.2899645, 2019, 3.301
    42 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), 1471 - 1486, SCIE, 10.1109/JAS.2017.7510697, 2019, 6.171
    41 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), 35-41, SCI, 10.1049/iet-smt.2018.5358 2019, 1.975
    40 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), 375-380, SCI, 10.1049/iet-smt.2018.5237, 2019, 1.975
    39 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),1285-1295, SCI, 10.1109/TIE.2018.2831184, 2019, 8.236
    38 Nikhil Agrawal, Anil Kumar; Varun Bajaj, A New Method for Designing of Stable Digital IIR Filter using Hybrid Method Circuits, Systems, and Signal Processing, 38(5), 2187–2226, SCIE, 10.1007/s00034-018-0959-5, 2019, 2.225
    37 Sachin Taran, and Varun Bajaj, Clustering Variational Mode Decomposition for Identication of Focal EEG Signals, IEEE Sensors Letters, 2//4, 01---04,Scopus, 10.1109/LSENS.2018.2872415, 2018
    36 Sachin Taran, and Varun Bajaj, Drowsiness Detection Using Adaptive Hermite Decomposition and Extreme Learning Machine for Electroencephalogram Signals, IEEE Sensors Journal, 18(21), 8855-8862,SCI, 10.1109/JSEN.2018.2869775, 2018, 3.301
    35 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, 1--29, SCIE, https://doi.org/10.1007/s40998-019-00251-1, 2018, 1.376
    34 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), 1--7, SCIE, https://doi.org/10.1007/s13755-018-0057-x, 2018
    33 Varun Bajaj, Sachin Taran and Abdulkadir Sengur, Emotion classification uing exible analytic wavelet transform for electroencephalogram signals, Health Information Science and Systems, 06:12, 1--7, SCIE, https://doi.org/10.1007/s13755-018-0048-y, 2018
    32 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, 1--10, SCIE, https://doi.org/10.1007/s13755-018-0050-4, 2018
    31 Sachin Taran, Varun Bajaj, Motor Imagery Tasks based EEG Signals Classification using Tunable-Q Wavelet Transform, Neural Computing and Applications, 31, 6925–6932, SCIE, https://doi.org/10.1007/s00521-018-3531-0, 2018, 5.606
    30 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), 1--7, DOI: 10.21767/2349-3917.100019, 2018
    29 Shweta Jain, Varun Bajaj, and Anil Kumar, Effective denoising of ECG by optimized adaptive thresholding on noisy modes, IET Science, Measurement Technology, 12(5), 640-644, SCIE, http://dx.doi.org/10.1049/iet-smt.2017.0203, 2018, 1.975
    28 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, 1133--1139, SCI, 10.1109/JBHI.2017.2753321, 2018, 5.772
    27 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, 2018(3), 166-172, Emerging SCI, doi: 10.1049/joe.2017.0878, 2018
    26 Sachin Taran, Varun Bajaj, Rhythm based identification of alcohol EEG signals, IET Science, Measurement and Technology, 12(3), 343-349, SCI, 10.1049/iet-smt.2017.0232, 2018, 1.975
    25 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, 68-76, SCIE, https://doi.org/10.1016/j.measurement.2017.10.067, 2018, 3.927
    24 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, 385-392, SCIE, https://doi.org/10.1007/s11760-017-1170-z, 2018, 2.157
    23 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, 3307--3315, SCIE, https://doi.org/10.1007/s00521-017-3282-3, 2018, 5.606
    22 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, 5:7, 1--7, SCIE, 10.1007/s13755-017-0028-7, 2017
    21 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, 5:9, 1--7, SCIE, 10.1007/s13755-017-0029-6, 2017
    20 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), 464-477, 10.1109/TETCI.2017.2748151, 2017



M. Tech./M.Des.

Ph. D.

Contact me

Feel free to contact

    Varun Bajaj

     varunb@iiitdmj.ac.in

     

     

     

     Varunb@iiitdmj.ac.in

     

     

     (Fax) 91-

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