Profile
Associate Professor in the field of Electronics & Communications Engineering
Varun Bajaj (PhD, SMIEEE20) is working as a Associate Professor in the discipline of Electronics and Communication Engineering, at Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since July 2021. He worked as Assistant Professor in IIITDM Jabalpur from March 2014 to July 2021. He also worked as a visiting faculty in IIITDM Jabalpur from September 2013 to March 2014. He worked as Assistant Professor at Department of Electronics and Instrumentation, Shri Vaishnav Institute of Technology and Science, Indore, India during 2009-2010. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He received M.Tech. Degree with Honors in Microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009, B.E. degree in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2006. He is an Associate Editor of IEEE Sensor Journal and Subject Editor-in-Chief of IET Electronics Letters. He served as a Subject Editor of IET Electronics Letters from Nov-2018 to June 2020. He is Senior Member IEEE June 2020, MIEEE 16-20, and also contributing as active technical reviewer of leading International journals of IEEE, IET, and Elsevier, etc. He has 150 publications which include journal papers (97), conference papers (32), books (10), and book chapters (11). The citation impact of his publications is around 4715 citations, h index of 37, and i10 index of 94 (Google Scholar Sep 22). He has guided nine (06 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, October 2021, and October 2022). 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 classification 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 |
|---|
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.
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: 97
IEEE= 26; Elsevier=31; Springer= 23; IET= 13; Others= 4 (Publisher wise)
Before 2015=5; 2016=8; 2017=9; 2018=15; 2019=14; 2020=23; 2021=11; 2022=12 (Years wise)
SCI/SCIE/Scopus=93; 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
97. 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, 2022, 4.325
96. 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 SCI Q12023 8.65
95. Kapil Gupta, Varun Bajaj Deep Learning Models-Based CT-Scan Image Classification for Automated Screening of Covid-19 o Biomedical Signal Processing and Control. 80,(1) 104268 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. 79 (2) 104172 SCI Q1 2023 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 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 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 Vol 22 Issue 9 8830-8837, SCI Q1 2022 4.325
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 metho
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