Journal Publication: 123

IEEE= 39; Elsevier=36; Springer= 25; IET= 13; Others= 10 (Publisher wise) Before 

2015=5; 2016=8; 2017=9; 2018=15; 2019=15; 2020=23; 2021=11; 2022= 09, 2023=10, 2024=10 , 2025=8 (Years wise) 

123 Rohit Raj Singh, Bikesh Kumar Singh, Varun Bajaj, Lokesh Kumar Singh, Sai Krishna, Adaptive Window Based SPWVD for Detection of Schizophrenia Using EEG,  IEEE Sensors Journal,   2025.

122  Nakul K Pathak, Vipul Dixit, Varun Bajaj, Atul Kumar Next-Gen Cooperative Relaying: Leveraging Deep Learning for Automatic Modulation Classification with Antenna Diversity, IETE IETE Journal of Research, 2025.

121  Rajveer Singh Lalawat , Nikhil Kushwaha, Varun Bajaj , Prabin Kumar padhy, NeuroFormer: A Deep Learning Framework for Alzheimer’s Detection Using EEG Signals IEEE Journal of Biomedical and Health Informatics (J-BHI). 1-9, Aug 22, 10.1109/JBHI.2025.3601658. 2025. 

120  R. S. Lalawat, Varun Bajaj, P.K. Padhy, P. K. and Lin C. Y. (2025). Advancing motor imagery EEG classification by quantum feature integration and quantum support vector machines. Applied Acoustics, 240, 110976. https://www.sciencedirect.com/science/article/pii/S0003682X25004487

119 Shresth Gupta,Manojeet Roy,Nalini Pusarla,Philip J. Aston,Kapil Gupta,Varun Bajaj, Three-D Attractor Reconstruction for Enhanced ECG Classification of Arrhythmia and Congestive Heart Failure, IEEE Sensors Journal,   Volume: 25, Issue: 13, 01 July 2025. 

118 Rajveer S Lalawat, Kapil Gupta, Varun Bajaj,   Synergizing fMRI Connectivity and Deep Learning for Precise Schizophrenia Diagnosis,  IETE Journal of Research, 2025 https://doi.org/10.1080/03772063.2025.2469644, https://www.tandfonline.com/doi/full/10.1080/03772063.2025.2469644.

117  Kapil Gupta, Varun Bajaj, and Irshad Ahmad Ansari, CardioNet: A lightweight deep learning framework for screening of myocardial infarction using ECG sensor data,  IEEE Sensors Journal, Vol 25, issue 4, pp. 6794-6800,  2025. https://ieeexplore.ieee.org/document/10824221

116 Rajveer S Lalawat, Varun Bajaj,  Prabin Padhy, Optimal Variational Mode Decomposition Based Automatic Stress Classification System Using EEG Signals, Applied Acoustics.  Volume 231, 1 March 2025, 110478.  https://doi.org/10.1016/j.apacoust.2024.110478 

115 Kapil Gupta, Varun Bajaj, Deepak Kumar Jain, Amir Hussain, MPXCN-Net: Accurate and automated screening system for monkeypox using skin images, Expert Systems, 2-6-2024.  https://onlinelibrary.wiley.com/doi/full/10.1111/exsy.13651

114 Anurodh  Kumar, , Amit Vishwakarma, and Varun Bajaj. "ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images. Vol 251  Computer Methods and Programs in Biomedicine (2024): 108207. https://www.sciencedirect.com/science/article/pii/S0169260724002037

113 Kapil Gupta, Saurabh Jain, Varun Bajaj, Multi-resolution assessment of ECG sensor data for sleep apnea detection using wide neural network IEEE Sensors Journal, Volume: 24, Issue: 8 PP. 12624-12631, APRIL 15, 2024  https://ieeexplore.ieee.org/document/10460431

112 Rajveer S Lalawat, Varun Bajaj, An Automatic Framework For Detecting Autism Spectrum Disorder From EEG Signals Using TFD, IEEE Sensors Journal, Volume: 24, Issue: 7 pp. 10632-10639, 2024 https://ieeexplore.ieee.org/document/10433101?source=authoralert

111  Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, and Shivam Mishra Novel Mixed Domain Hand-crafted Features for Skin Disease Recognition Using Multi-headed CNN, IEEE Transactions on Instrumentation & Measurement,  5013013, vol 73  2024.   10.1109/TIM.2024.3370772 

110  Kamlesh Kumar, Prince Kumar, Ruchit Kumar Patel, Manish Sharma, Varun Bajaj, U Rajendra Acharya, Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals, IEEE Latin America Transactions, 22, no. 3 (2024): 186-194. https://ieeexplore.ieee.org/abstract/document/10431420

109   A. Jain, A. Verma, A. K. Verma, and V. Bajaj, Tunable Q-factor wavelet transform based identificationof diabetic patients using ECG signals, Computer Methods in Biomechanics and Biomedical Engineering, SCI, Taylor & Francis impact factor 1.9, Scopus, ESCI, SCIE. 2024. https://doi.org/10.1080/10255842.2024.2342512

108 Bhadoriya, Ranjeet Pratap Singh, Varun Bajaj, and Ravi Panwar. "Analytical Insights Into Plasma-Assisted Broadband Multilayered Microwave Absorber Design Using Chaos Game Optimization." IEEE Transactions on Plasma Science (2024). 

107  Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, Multi-headed CNN for colon cancer classification using histopathological images with tikhonov-based unsharp masking, Multimedia Tools and Applications,  (2024): 1-20. https://link.springer.com/article/10.1007/s11042-024-18357-y

106 Bhadoriya, Ranjeet Pratap Singh, Varun Bajaj, and Ravi Panwar. "CGO-Driven Design of Magnetic Material and Plasma Integrated Next-Generation Broadband Pyramidal Microwave Absorber." IEEE Transactions on Magnetics (2024). 

105  Kamlesh Kumar, Kapil Gupta, Manish Sharma, Varun Bajaj, and U. Rajendra Acharya. "INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals." Medical Engineering & Physics, vol 119  (2023): 104028. https://www.sciencedirect.com/science/article/pii/S1350453323000838

104 SK Khare, V Bajaj, NB Gaikwad, GR Sinha Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals Sensors 23 (18), 7860. https://www.mdpi.com/1424-8220/23/18/7860

103  Nikhil B. Gaikwad, Smith K. Khare, Hrishikesh Ugale, Dinesh Mendhe, Varun Tiwari, Varun Bajaj, and Avinash Keskar, Hardware Design and Implementation of Multi-Agent MLP Regression for the Estimation of Gunshot Direction on IoBT Edge Gateway, IEEE Sensors Journal, 23, (13), may 2023 pp. 14549-14557. 10.1109/JSEN.2023.3278748 

102 Kapil Gupta, Varun Bajaj and Irshad A Anasari, Atrial fibrillation detection using electrocardiogram signal input to LMD and ensemble classifier, IEEE Sensors Letters, Volume: 7, Issue: 6, June 2023 pp. 7002904. 10.1109/LSENS.2023.3281129

101  Kapil Gupta, Varun Bajaj and Irshad A  Anasari,  Integrated S-transform-based learning system for detection of arrhythmic fetus IEEE Transactions on Instrumentation & Measurement, 72, 2023, 4005508. 10.1109/TIM.2023.3271739 

100 Nakul Kishor Pathak and Varun Bajaj, Automatic Modulation Classification using Bimodal Parallel Multichannel Deep Learning Framework for Spatial Multiplexing MIMO System,  Physical Communication, (2023): 102071, 3 April 2023. https://doi.org/10.1016/j.phycom.2023.102071  

99 Smith Khare, Varun Bajaj, U. Rajendra Acharya SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals, Physiological Measurement, IOP, 44, no. 3 (2023): 035005. DOI: 10.1088/1361-6579/acbc06

98 Kapil Gupta, Varun Bajaj and Irshad A Anasari, A support system for automatic classification of hypertension using BCG signals, Expert Systems With Applications, 

Volume 214, 119058, 15 March 2023, SCI, Q1, https://doi.org/10.1016/j.eswa.2022.119058, 2023

97  Kapil Gupta, Varun Bajaj, Deep Learning Models-Based CT-Scan Image Classification for Automated Screening of Covid-19, Biomedical Signal Processing and Control,   (1)104268, February 2023,  SCI, Q1,  https://doi.org/10.1016/j.bspc.2022.104268 , 5.076

96 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 2023, 5.076. https://doi.org/10.1016/j.bspc.2022.104172 

95  Kapil Gupta, Varun Bajaj A Robust Framework for Automated Screening of Diabetic Patient Using ECG Signals, IEEE Sensors Journal, 24 (22) 24222-24229, SCI, 2022, Q1,  10.1109/JSEN.2022.3219554 

94 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

93 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

92 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. 

91 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 

90 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

89 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.

88 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.

87 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

86 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

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, 22(15), 17017-17024, SCI,  0.1109/JSEN.2021.3080135,  2021, 3.301.

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, https://doi.org/10.1016/j.apacoust.2021.108164,  2021, 2.639.

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. 41,  2, 679-689, SCIE, https://doi.org/10.1016/j.bbe.2021.04.008, 2021, 4.314.

82 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. 

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, 2507409, SCI,  10.1109/TIM.2021.3070608,  2021,  4.016.

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 176, 114884, SCIE, https://doi.org/10.1016/j.eswa.2021.114884,  2021, 6.954.

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, 176,  114880, SCIE,  https://doi.org/10.1016/j.eswa.2021.114880,  2021, 6.954.

78 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.

77 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. 

76 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.

75 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

74 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

73 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

72 Varun Bajaj, G R Sinha, Siuly Siuly, Abdulkadir Şengur, Current Trends in Cognitive Science and Brain Computing Research and Applications, Guest Editorial, Electronics Letters, Volume 56, Issue 25, 1354 – 1355, SCI, 10.1049/el.2020.2790, 2020, 1.316

71 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

70 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

69 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

68 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

67 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

66 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://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242014 , 2020

65 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

64 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

63 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

62 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

61 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

60 Varun Bajaj, Sachin Taran, Smith K. Khare, and Abdulkadir Sengur, Feature Extraction Method for Classification of Aertness and Drowsiness States EEG Signals, Applied Acoustics, 163, 107224, SCIE, https://doi.org/10.1016/j.apacoust.2020.107224, 2020, 2.639

59 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

58 Nikhil Agrawal, Anil Kumar, Varun Bajaj, Design of Infinite impulse response filter using 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

57 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

56 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

55 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

54 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

53 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

52 Demir, Fatih, Abdulkadir Sengur, and Varun Bajaj. "Convolutional neural networks based efficient approach for classification of lung diseases." Health information science and systems 8 (2020): 1-8.  https://doi.org/10.1007/s13755-019-0091-3 

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. https://link.springer.com/article/10.1007/s00034-018-0959-5

37 Sachin Taran, and Varun Bajaj, Clustering Variational Mode Decomposition for Identication of Focal EEG Signals, IEEE Sensors Letters, 2//4, 01---04,Scopus, https://ieeexplore.ieee.org/document/8474360

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 https://ieeexplore.ieee.org/document/8464050

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

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, 6.725

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, 1.316

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, 1.692

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, 3.643

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, SCIE, http://dx.doi.org/10.1016/j.aeue.2016.12.008 ,2017, 3.183

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 & Engineering Express, 3(1), 1--12, 10.1088/2057-1976/aa5199, 2017,

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, 5.468

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

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, 1.975

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, 1.316

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, 1.975

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, 5.719

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, 5.606

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, 6.725

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, 1.01

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, 5.428

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, 10.1007/s13534-013-0084-0, 2013

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

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, 5.428

45 Akanksha Dixit, Varun Bajaj, Prabin Kumar Padhy, Sequential Feature Selection Integrated with ANN for Efficient Detection of ALS using sEMG signal"  ACCEPTED “12th International Conference on Signal Processing & Integrated Networks (SPIN 2025). 

44 Vyas, S., Singh, A., Ansari, I. A., & Bajaj, V. (2024, December). Comparative Analysis of Hand Gesture Classifiers Using EMG Signal and STFT-CNN. In 2024 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT) (pp. 1-6). IEEE.  https://ieeexplore.ieee.org/abstract/document/10896173

43 Rajveer S Lalawat, Varun Bajaj, Prabin Padhy, Sleep Stage Classification Using EEG Signals: A Empirical Wavelet Transform Based Decomposition Approach 2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV),  p. 835-839, 2024. https://ieeexplore.ieee.org/document/10821607

42 Rajveer S Lalawat, Varun Bajaj, Prabin Padhy,  Brain-Computer Interfaces for Enhancing Motor Imagery Classification Using EEG Signals. 2024 International Conference on Brain-Computer Interface \& Healthcare Technologies, Accepted. 

41.  Akanksha Dixit, Varun Bajaj, Irshad Ahmad Ansari, Prabin kumar Padhy, Time Frequency Analysis and Deep Feature Extraction for Hand Gesture Classification, 2024 IEEE International Student Conference on Electrical, Electronics and Computer Science bhopal,  024. p. 1-5, 2024.  https://ieeexplore.ieee.org/document/10482258

40 Kapil Gupta and Varun Bajaj, A self-assessment framework for initial screening of human monkeypox 2023 5th International Conference on Control and Robotics Tokyo Japan Nov-23, (pp. 168-173). IEEE.  https://ieeexplore.ieee.org/document/10444833

39 Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, Classification of Skin Disease Dermoscopy Images Utilizing Multi-headed CNN, 7th IEEE International Conference on Computers Applications in Electrical Engineering Recent Advances [CERA2023] https://ieeexplore.ieee.org/document/10455201

38 Nakul Kishor Pathak, Varun Bajaj, Multichannel Deep Learning Network based Automatic Modulation Classification in Presence of Symmetric Alpha Stable Distributed Impulsive Noise, 5 th International Conference on Trends in Computational and Cognitive Engineering. Mode of Conference:Hybrid. 24-25 November, 2023  https://link.springer.com/chapter/10.1007/978-981-97-1923-5_45

37 Nithin Lakshmisha, Aman Butoliya, Varun Bajaj, Vikram M. Gadre, and Soumyo Mukherji, New Features for the Detection of Fetal QRS Complexes in Non-Invasive Fetal Electrocardiograms, Accepted in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10340399

36 A. Kumar, A. Vishwakarma, V. Bajaj, Automatic Classification of Multi-Class Skin Lesions Dermoscopy Images Using an Efficient Convolutional Neural Network. In 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), pp. 1-5. IEEE, 2023. https://ieeexplore.ieee.org/document/10062981

35 A. Kumar, A. Vishwakarma, V. Bajaj An efficient convolutional neural network for classification of multi-class colorectal tissue using histopathological images, 2023 IEEE 6th International Conference on Information and Communication Technology (CICT-2022), 2022.  https://ieeexplore.ieee.org/document/9997889

34 Abhishek Singh, Kapil Gupta, Varun Bajaj, Discrimination of Normal and Abnormal Knee Joint VAG Signals Using EMD, 2nd International Conference on Computational Electronics for Wireless Communication (Springer), Best Paper Award 9-10 June 2022, pp 305–314. https://link.springer.com/chapter/10.1007/978-981-19-6661-3_27

33 Smith K Khare, Varun Bajaj, A CACDSS for automatic detection of Parkinson disease using EEG signals, IEEE International Conference on Control, Automation, Power and Signal processing (CAPS-2021),  from 10th to 12th December 2021" India IEEE https://ieeexplore.ieee.org/document/9730723

32 Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, Avinash Sharma and Chirag Thakur,  Colon Cancer Classification of Histopathological Images Using Data Augmentation, IEEE International Conference on Control, Automation, Power and Signal processing (CAPS-2021), 10th to 12th December 2021, India, https://ieeexplore.ieee.org/document/9730704

31 Santhos Kumar A., Kumar, A., Bajaj, V. and Singh, G.K., 2020, July. Histopathology image classification using enhanced fuzzy min-max network. In 2020 IEEE International Conference on Communication and Signal Processing (ICCSP) (pp. 0488-0492).  https://ieeexplore.ieee.org/document/9182361

30 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. https://ieeexplore.ieee.org/document/9043832

29 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), https://ieeexplore.ieee.org/document/8938321

28 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, ICCSP 19 Melmaruvathur, Chennai, India, April 4-6, 2019.  https://ieeexplore.ieee.org/document/8698079 

27 Kumar, A. Santhos, A. Kumar, V. Bajaj, and Girish Kumar Singh. "Fractional-order darwinian swarm intelligence inspired multilevel thresholding for mammogram segmentation." In 2018 International Conference on Communication and Signal Processing (ICCSP), pp. 0160-0164. IEEE, 2018.  https://ieeexplore.ieee.org/document/8524302

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.  https://ieeexplore.ieee.org/document/8524547

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, https://ieeexplore.ieee.org/document/8722429

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,  https://ieeexplore.ieee.org/document/8722388

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, https://link.springer.com/chapter/10.1007/978-3-319-65960-2_77 

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, https://ieeexplore.ieee.org/document/8124571

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,  https://ieeexplore.ieee.org/document/8286606

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,  https://ieeexplore.ieee.org/document/8049984.

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.  https://ieeexplore.ieee.org/document/8049956

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,  https://ieeexplore.ieee.org/document/7980606

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, https://ieeexplore.ieee.org/document/7754143

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,  https://ieeexplore.ieee.org/document/7538330

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,  10.1109/SCEECS.2016.7509318. 

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,  10.1109/ICDSP.2016.7868634. 

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,  10.1109/ICONSIP.2016.7857464. 

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,  10.1109/ICDSP.2015.7251904. 

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, 10.1109/ICCSP.2015.7322426.  

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, https://link.springer.com/chapter/10.1007/978-3-662-46578-3_70. 

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, https://link.springer.com/chapter/10.1007/978-81-322-2247-7_11. 

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, https://link.springer.com/chapter/10.1007/978-81-322-2247-7_10. 

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,  10.1109/ISPCC.2015.7375048. 

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,  10.1109/ICCSP.2015.7322776. 

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,  10.1109/ICMB.2014.29. 

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, https://link.springer.com/chapter/10.1007/978-3-642-32645-5_62 

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, https://link.springer.com/chapter/10.1007/978-81-322-0491-6_57 

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. https://www.semanticscholar.org/paper/Application-of-the-Sample-Entropy-for-between-and-Bajaj-Pachori/caacc553eeb45fb7eb9979cdfe5ad03f810691eb

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).