Book Edited 


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, In press, 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, In process, 2021, 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 Press Taylor and Francis, 2021.

4 Varun Bajaj and GR Sinha (Editors), Analysis of medical modalities for improved diagnosis in modern healthcare, CRC Press Taylor and Francis, 2021.



Book Chapter

[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



Journal Publications

Q1 =49 Q2=17 Q3=3 Q4=2 Others=2
IEEE=19 Elesvier =16 IET =11 Springer =24 Others =3
2020=18 2019=14 2018=19 2017=9 2016=8 Before 2015=5

[73] 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, 2020, 3.34 Q1, IEEE
[72]Smith K. Khare, and Varun Bajaj, An Evolutionary Optimized Variational Mode Decomposition for Emotion Recognition, IEEE Sensors Journal, 2020,3.07 Q1 IEEE.
[71]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, 2020, 1.232 Q1 IET.
[70] Smith Khare, Varun Bajaj, A Facile and Flexible Motor Imagery Classification using Electroencephalogram Signals, Computer Methods and Programs in Biomedicine, 105722, SCI, December 2020, 3.632 Q1 Elesvier.
[69] Smith Khare, Varun Bajaj, Time-Frequency Representation and Convolutional Neural Network based Emotion Recognition, IEEE Transactions on Neural Networks and Learning Systems, SCI, 2020, 8.793 Q1 IEEE.
[68] Smith K. Khare, Varun Bajaj, G. R. Sinha, Adaptive Tunable Q Wavelet Transform based Emotion Identification, IEEE Transactions on Instrumentation and Measurement, SCI 10.1109/TIM.2020.3006611, 2020, 3.67 Q1 IEEE
[67] 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, SCI 10.1109/JSEN.2020.3006486, 2020, 3.07, Q1 IEEE
[66] Silvia Liberata Ullo, Smith K. Khare, Varun Bajaj, and G. R. Sinha, Hybrid Computerized Method for Environmental Sound Classification, IEEE Access, SCI 10.1109/ACCESS.2020.3006082, 2020, 3.67, Q1 IEEE
[65] Smith Khare, Varun Bajaj, Optimized Tunable Q Wavelet Transform based Drowsiness Detection from Electroencephalogram Signals, Innovation and Research in Bio-Medical Engineering (IRBM), SCIE 2020, 1. 21-July-2020. 1.022, Q3, Elesvier
[64] Santhos Kumar A., A. Kumar, V. Bajaj, G. K. Singh, McCulloch Algorithm inspired Cuckoo Search Optimizer based Mammographic Image Segmentation Multimedia Tools and Applications, SCI, 2020, 2.313, Q1 Springer
[63] 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, SCIE, https://doi.org/10.1007/s00034-020-01404-y, 2020, 1.681, Q1 Springer
[62] Smith Khare, Varun Bajaj, Constrained based Tunable Q Wavelet Transform for Efficient Decomposition of EEG Signals Applied Acoustics, 163 107234 SCIE https://doi.org/10.1016/j.apacoust.2020.107234, 2020 2.44 Q1 Springer
[61] 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, 10.1016/j.apacoust.2020.107224, 2020, 2.44 Q1, Springer
[60] 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 10.1016/j.cmpb.2020.105325, 2020, 3.632 Q1 Elesvier
[59] 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, Accepted SCIE https://doi.org/10.1007/s00034-020-01456-0, 1.681 Q1 Springer
[58] Sachin Taran, Prakash Chandra Sharma, Varun Bajaj, Automatic Sleep Stages Classification using Optimize Flexible AnalyticWavelet Transform Knowledge-Based Systems 192, 105367 1--8 SCI https://doi.org/10.1016/j.knosys.2019.105367 2020 5.101 Q1 Elesvier
[57] S. A. Kumar, A. Kumar, V. Bajaj and G. K. Singh, An Improved Fuzzy Min-Max Neural Network for Data Classification, in IEEE Transactions on Fuzzy Systems, vol. 28, no. 9, pp. 1910-1924, Sept. 2020, doi: 10.1109/TFUZZ.2019.2924396, 9.518 Q1 IEEE
[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 SCImago, SCIE 10.1109/JAS.2020.1003054 2020 5.129 Q1 IEEE
[55] 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, SCImago https://doi.org/10.1007/s13534-019-00135-7 2019 3.424 Q2 Springer
[54] 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 SCImago https://doi.org/10.1007/s13755-019-0092-2, 2019, Q1 Springer
[53] 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 SCImago https://doi.org/10.1007/s13755-019-0078-0, 2019, Q1 Springer
[52] 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 4.774 Q1 Springer
[51] 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 2019 2.924 Q2 Elesvier
[50] 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 2019 2.924 Q2 Elesvier
[49] 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 2019 1.022 Q3 Elesvier
[48] 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 3.07 Q1 IEEE
[47] 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 Q1 IEEE
[46] 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 3.632 Q1 Elesvier
[45] 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 2.29 Q2 Springer
[44] 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 2019 3.607 Q1 IEEE
[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 3.07 Q1 IEEE
[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 SCImago, SCIE 10.1109/JAS.2017.7510697 2019 5.129 Q1 IEEE
[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, 2018 2.23 Q2 IET
[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 2018 2.23 Q2 IET
[39] 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 2018 1.681 Q2 Springer
[38] 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 Q1 IEEE
[37] 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 3.07 Q1 IEEE
[36] 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, 1--29 SCIE https://doi.org/10.1007/s40998-019-00251-1, 2018, 0.6 Q4 Springer
[35] 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 SCImago https://doi.org/10.1007/s13755-018-0057-x 2018 Q1 Springer
[34] 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 SCImago https://doi.org/10.1007/s13755-018-0048-y, 2018,Q1 Springer
[33] 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 SCImago https://doi.org/10.1007/s13755-018-0050-4, 2018, Q1 Springer
[32] 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, 4.774, Q1, Springer
[31] 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 2018, 7.503, Q1 IEEE
[30] 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 6 (2:19) 1-7 DOI: 10.21767/2349-3917.100019, 2018, 0.39 iMedPub LTD
[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, SCI http://dx.doi.org/10.1049/iet-smt.2017.0203, 2018, 2.23 Q1 IET
[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, 5.223 Q1 IEEE
[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 IET
[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 2.23 Q1 IET
[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 3.364 Q1 Elesvier
[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 1.794 Q2 Springer
[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 4.774 Q1 Springer
[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 SCImago 10.1007/s13755-017-0028-7 2017 Q1 Springer
[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 SCImago 10.1007/s13755-017-0029-6 2017 Q1 Springer
[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 6.043 Q1 IEEE

[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 61 570- 592 SCIE http://dx.doi.org/10.1016/j.asoc.2017.08.039 2017 5.472 Q1 Elesvier
[18] Sachin Taran, Varun Bajaj, and D Sharma Robust Hermite decomposition algorithm for classification of sleep apnea EEG signals IET Electronics Letters 53, 1182-1184 SCI 10.1049/el.2017.1365 2017 1.232 Q2 IET
[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 11(6) 743-748 SCI 10.1049/iet-spr.2016.0435 2017 1.754 Q2 IET
[16] N. Agrwal, A. Kumar, and Varun Bajaj Design of Digital IIR Filter with Low Quantization Error using Hybrid Optimization Technique Soft Computing Jan-17 SCIE 10.1007/s00500-017-2548-0 2017 2.784 Q2 Springer
[15] 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) 72 200-209 SCI http://dx.doi.org/10.1016/j.aeue.2016.12.008 2017 2.853 Q2 Elesvier
[14] Varun Bajaj, Khushnandan Rai, Anil Kumar, and Dheeraj Sharma, Time-frequency image based features for classification of epileptic seizure from EEG signals, Biomedical Physics and Engineering Express 3(1) 1--12 10.1088/2057-1976/aa5199 2017 Q3 IOP
[13] S. Jain, Mitul Kumar Ahirwal, Anil Kumar, Varun BAJAJ, and G. K. Singh QRS detection using adaptive filters: A comparative study ISA Transactions 66 362-375 SCI http://dx.doi.org/10.1016/j.\\isatra.2016.09.023 2016 4.343 Q1 Elesvier
[12] 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) 589-602. Scopus 10.1007/s11633-017-1091-x 2016 2.29 Q2 Springer
[11] 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) 963- 971 SCI 10.1049/iet-smt.2016.0208 2016 2.23 Q2 IET
[10] 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) 1198-1200 SCI 10.1049/el.2016.1171 2016 1.232 Q2 IET
[9] S Jain, A. Kumar, and Varun Bajaj Technique for QRS complex detection using particle swarm optimization (PSO) IET Science, Measurement and Technology 10(6) 626 - 636 SCI 10.1049/iet-smt.2016.0023 2016 2.23 Q2 IET
[8] 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 SCIE http://dx.doi.org/10.1016/j.neucom.2016.08.050 2016 4.437 Q1 Elesvier
[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 28(12) 3717-3723 SCIE 10.1007/s00521-016-2276-x 2016 4.774 Q1 Springer
[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 47 76-102 SCIE http://dx.doi.org/10.1016/j.asoc.2016.05.040 2016 5.472 Q1 Springer
[5] 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) 156-167 Scopus 10.1504/IJBET.2015.070035 2015 0.13 Q4 Inder-scinece
[4] 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) 320-328 SCI http://dx.doi.org/10.1016/j.cmpb.2013.07.006 2013 3.632 Q1 Elesvier
[3] 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) 17-21 SCOPUS, SCImago 10.1007/s13534-013-0084-0 2013 3.424 Q2 Springer
[2] 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) 1135-1142 SCI 10.1109/TITB.2011.2181403 2012 2.493 Q1 IEEE
[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 104(3) 373-381 SCI doi:10.1016/j.cmpb.2011.03.009 2011 3.632 Q1 Elesvier

International Conferences


29 Anugya Pareta, Sachin Taran, Varun Bajaj, Abdulkadir Sengur, Automatic Environment Sounds Classification using Optimum Allocation Sampling, 2019 IEEE 4th International Conference on Robotics and Automation Engineering, November 22-24, 2019 Singapore pp 69-73. 

28 Santhos Kumar A., A. Kumar, V. Bajaj, G. K. Singh and B. Kuldeep, A Fuzzy Min-Max Neural Network based Classification of Histopathology Images, 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC-2019) March 7th-9th, 2019 Jaypee Institute of Information Technology, Noida (INDIA)

27 Santhos Kumar A., A. Kumar, V. Bajaj and G. K. Singh, K- highest Fuzzy Min-Max network to Classify Histopathological Images, International Conference on Communication and Signal Processing âAS ICCSP 19 Melmaruvathur, Chennai, India, April 4-6, 2019.10.1109/ICCSP.2019.8698079.

26 Nagineni Sukumar, Sachin Taran, Varun Bajaj, Physical actions classification of surface EMG signals using VMD, International Conference on Communication and Signal Processing, April 3-5, 2018, India pp.0715-0719.

25 Sachin Taran, and Varun Bajaj, Drowsiness Detection using Instantaneous Frequency based Rhythms Separation for EEG Signals, Second IEEE International Conference on Information and Communication Technology (CCIT-2018, October 26-28, 2018) CICT 2018.

24 S. V. Raghavendra Kommuri, Himanshu Singh, Anil Kumar, and Varun Bajaj, Bidimensional Empirical Mode Decomposition based Intrinsically Augmented Gamma Correction for Quality Restoration of Textural Images, Second IEEE International Conference on Information and Communication Technology (CCIT-2018, October 26-28, 2018) CICT 2018.

23 Abdulkadir Sengur, Mehmet Gedikpinar, Yaman Akbulut, Erkan Deniz, Varun Bajaj, and Yanhui Guo, DeepEMGNet: an Application for Efficient Discrimination of ALS and Normal EMG Signals, 12th International Conference Mechatronics 2017 Brno, Czech Republic, Mechatronics 2017 pp 619-625, 6-8 September, 2017.

22 Sachin Taran, Varun Bajaj, and Dheeraj Sharma, TEO Separated AM-FM Components Used for Identification of Apnea EEG Signals, 2nd International Conference on Signal and Image Processing (ICSIP 2017) NTU Singapore, August 4-6, 2017.

21 S. Jain, A. Kumar, and V. Bajaj, QRS Complex Detection using Cuckoo Search Optimization Algorithm, 4th IEEE International Conference on Communication and Signal Processing-ICCSP 17,Melmaruvathur, Tamilnadu, India on 6-8 April 2017.

20 Pooja Yadav, Anchala Priya, Sachin Taran, V. Bajaj, Dheeraj Sharma, Discrimination of Alcohol and Normal EEG signal using EMD, International Conference on Signal Processing and Integrated Networks, SPIN 2017, Amity University, Noida, 2-3 Feb 2017.

19 S. Jain, A. Kumar, and V. Bajaj, Real-time Detection of Electrocardiograph Peaks: A Genetic Algorithm based Approach, International Conference on Signal Processing and Integrated Networks, SPIN 2017, Amity University, Noida, 2-3 Feb 2017.

18 Swati Walde, Pragati Rani, Varun Bajaj, and Dheeraj Sharma Time Frequency Image based Features for detection of Focal EEG Signals, International Conference on Signal Processing and Communication ICSC-2016, 358-362, JIIT Noida 26-28 Dec 2016.

17 Vipin K Mishra, Varun Bajaj, and Anil Kumar, and Dheeraj Sharma. Discrimination between Myopathy and Normal EMG Signals using Intrinsic Mode Functions, 4th IEEE International Conference on Communication and Signal Processing-ICCSP’16, 248-252, 6-8 April 2016 in Melmaruvathur, Tamilnadu, India.

16 Vipin K Mishra, Varun Bajaj, and Anil Kumar, Classification of Normal, ALS and Myopathy EMG signals using ELM classifier, Second IEEE International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB -16) 460-464, 27th Feb, 2016 in Chennai, India.

15 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 conference on Elecrical, Electronics and Computer Science (SCEECS-2016), 5-6 March 2016 in MANIT Bhopal.

14 N. Agrwal, A. Kumar, and Varun Bajaj, Controlled Ripple Based Design of Digital IIR Filter, 21st International Conference on Digital Signal Processing (DSP) pp.627-631, 16-18 Oct 2016, Beijing China. 

13 N. Agrwal, A. Kumar, and Varun Bajaj, Digital IIR Filter Design With Controlled Ripple Using Cuckoo Search Algorithm. International Conference on Signal and Information Processing (IConSIP-2016) 6th to 8th October, 2016. Nanded, Maharashtra, India.

12 K. Rai, V. Bajaj, and A. Kumar, Novel Feature for Identification of Focal EEG Signals with K-Means and Fuzzy C-Means Algorithms, 20th IEEE International Conference on Digital Signal Processing (DSP), pp. 412-416, July 21-24, 2015 in Singapore.

11 K. Rai, V. Bajaj, and A. Kumar, Hilbert-Huang transform based classification of sleep and wake EEG signals using fuzzy C-means algorithm, 4th IEEE International Conference on Communication and Signal Processing-ICCSP’15, pp. 462-466, 2-4 April 2015 Melmaruvathur, India.

10 K. Rai, V. Bajaj, and A. Kumar, Features extraction for classification of focal and non-focal EEG signals, Information Science and Applications Lecture Notes in Electrical Engineering , Volume 339, 2015, pp 599-605. 2015,Pattaya, Thailand.

9 G. Sahu, N. Chaurasia, P. P. Suwalka, V. Bajaj and A. Kumar, HHT based features for discrimination of EMG signals, In: Mandal, J.K., Satapathy, S.C., Kumar Sanyal, M., Sarkar, P.P., Mukhopadhyay, A. (Eds.) Proceedings of Second International Conference Information Systems Design and Intelligent Applications 2015 Volume 2, Advances in Intelligent Systems and Computing, Vol. 340, 2015, pp 95-103, January 8-9, 2015, Kalyani, India.

8 M. Gehlot, Y. Kumar, H. Meena, V. Bajaj, and A. Kumar, EMD based features for discrimination of focal and non-focal EEG signals, In: Mandal, J.K., Satapathy, S.C., Kumar Sanyal, M., Sarkar, P.P., Mukhopadhyay, A. (Eds.) Proceedings of Second International Conference Information Systems Design and Intelligent Applications 2015 Volume 2, Advances in Intelligent Systems and Computing, Volume 340, pp 85-93, January 8-9, 2015, Kalyani, India.

7 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 (2015 ISPCC) pp. 316-321, 24-26 Sep 2015 in Jaypee University of Information Technology Waknaghat, Solan, HP, India.

6 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, pp. 1568-1573, 02-04 April 2015 in Melmaruvathur, India.

5 V. Bajaj and R.B. Pachori, Human emotion classification from EEG signals using multiwavelet transform, IEEE International Conference on Medical Biometrics, 30 May-01 June, 2014, Shenzhen, China pp.125-130. Citations-3

4 V. Bajaj and R.B. Pachori, Separation of rhythms of EEG signals based on Hilbert-Huang transformation with application to seizure detection, International Conference on Convergence and Hybrid Information Technology, LNCS 7425, pp. 493-500, 23-25 August, 2012, Daejeon, South Korea. (Best Paper Award) Citations-8

3 V. Bajaj and R.B. Pachori, EEG signal classification using empirical mode decomposition and support vector machine, International Conference on Soft Computing for Problem Solving, AISC 131, pp. 623-635, 20-22 December, 2011, in Roorkee, India. Citations-11

2 V. Bajaj and R.B. Pachori, Application of the sample entropy for discrimination between seizure and seizure-free EEG signals, 5th Indian International Conference on Artificial Intelligence, pp. 1232-1247, 14-16 December, 2011, Tumkur, India.

1 D.K. Mishra, and V. Bajaj, A single stage source couple CMOS VCO in 0.18um CMOS technologies with low power consumption, International Conference On Control Automation, Communication and Energy Conservation-2009. Kangu Engg. College Perundurai Erode (Tamilnadu), pp. 584-586 vol. II, 5-6 June 2009, Erode (Tamilnadu).



 

 
 
 
 
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