1. Varun Bajaj and GR Sinha (Eds), Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-1, IOP Series in Physics and Engineering in Medicine and Biology, 382pp, Auguest 2020. iopscience.iop.org/book/978-0-7503-3279-8
2. Varun Bajaj and GR Sinha (Eds), Modelling and Analysis of Active Biopotential Signals in Healthcare Volume-2, IOP Series in Physics and Engineering in Medicine and Biology, Inpress, 2020- 21. 10.1088/978-0-7503-3411-2, iopscience.iop.org/book/978-0-7503-3411-2
3. Varun Bajaj and GR Sinha (Eds), Computer-aided Design and Diagnosis Methods for Biomedical Applications, CRC Taylor & Francis Group 2020-21. 978-0-367-63883-2/410018. www.routledge.com/Computer-aided-Design-and-Diagnosis-Methods-for-Biomedical-Applications/Bajaj-Sinha/p/book/9780367638832
4. Varun Bajaj and GR Sinha (Eds), Analysis of medical modalities for improved diagnosis in modern healthcare, CRC Taylor & Francis Group 2021. 9780367705367, https://www.routledge.com/Analysis-of-Medical-Modalities-for-Improved-Diagnosis-in-Modern-Healthcare/Bajaj-Sinha/p/book/9780367705367
5. Varun Bajaj, GR Sinha and Chinmay Chakraborty (Eds), Biomedical Signal Processing for Healthcare Applications, Series: Emerging Trends in Biomedical Technologies and Health informatics CRC Taylor & Francis Group 2021. 9780367705879. https://www.routledge.com/Biomedical-Signal-Processing-for-Healthcare-Applications/Bajaj-Sinha-Chakraborty/p/book/9780367705879
6. Varun Bajaj and Irshad Ahmad Ansari (Eds), High performance computing for Intelligent Medical Systems, https://iopscience.iop.org/book/978-0-7503-3815-8 IOP Books 2021.
7. Irshad Ahmad Ansari, and Varun Bajaj (Eds), Advanced Security Solutions for Multimedia, https://iopscience.iop.org/book/978-0-7503-3735-9 2021.
8. Varun Bajaj and GR Sinha (Eds), Artificial Intelligence based Brain Computer Interface (BCI), https://www.elsevier.com/books/artificial-intelligence-based-brain-computer-interface/bajaj/978-0-323-91197-9 Elsevier , 2022.
9. Varun Bajaj and Irshad Ahmad Ansari (Eds), Computational Intelligence based solutions for Vision Systems, IOP May 2022. https://iopscience.iop.org/book/978-0-7503-4821-8.pdf
10. GR Sinha and Varun Bajaj (Eds), Cognitive Sensors, Volume 1: Intelligent Sensing, Sensor Data Analysis and Applications IOP Submitted 2022, https://iopscience.iop.org/book/edit/978-0-7503-5326-7
11. GR Sinha and Varun Bajaj (Eds), Cognitive Sensors, Volume 2: Applications in Smart Healthcare, IOP under preparation 2023, https://iopscience.iop.org/book/edit/978-0-7503-5346-5
12. Irshad Ahmad Ansari and Varun Bajaj (Eds), Advanced Signal Processing for Industry 4.0, Volume 1: Evolution, communication protocols, and applications in manufacturing systems; IOP June 2023 https://iopscience.iop.org/book/edit/978-0-7503-5247-5
13. Varun Bajaj and Irshad Ahmad Ansari (Eds), IoT in Biomedical Sciences: Challenges and Applications’ IOP June 2023 https://iopscience.iop.org/book/edit/978-0-7503-5311-3
14. Irshad Ahmad Ansari and Varun Bajaj (Eds), Advanced Signal Processing for Industry 4.0, Volume 2: Security issues, management and future opportunities. IOP 2023 https://iopscience.iop.org/book/edit/978-0-7503-5658-9
15. Irshad Ahmad Ansari and Varun Bajaj (Eds), Signal processing with Python: Vol1 A practical approach IOP, 2024 https://iopscience.iop.org/book/edit/978-0-7503-5929-0
16. Irshad Ahmad Ansari and Varun Bajaj (Eds), Image processing with Python: Vol2 A practical approach IOP in press , July 2024 at: https://doi.org/10.1088/978-0-7503-5924-5
17. Rahul Chaurasiya , Varun Bajaj, Vishakha Chourasia, Artificial Intelligence-based Signal Processing for Brain Activity Analysis , In press , CRC Taylor & Francis Group 2025.
Lalawat, Rajveer S and Bajaj, Varun, Automatic COVID-19 identification with a binary neural network using CT images, Image Processing with Python, IOP Publishing, 2024, 9-1 to 9-20, https://dx.doi.org/10.1088/978-0-7503-5924-5ch9.
Nakul Kishor Pathak and Varun Bajaj, Automatic feature extraction using deep learning for automatic modulation classification implemented with Python, Published March 2024 Pages 1-1 to 1-21, Signal processing with Python: Vol1 A practical approach IOP, 2024. 10.1088/978-0-7503-5929-0ch1
Kapil Gupta, Varun Bajaj and Irshad Ahmad AnsariIoT-based continuous cardiac monitoring system, Internet of Things in Biomedical Sciences Challenges and applications, Published June 2023, Pages 1-1 to 1-12, doi:10.1088/978-0-7503-5311-3ch1
Smith K. Khare, Nikhil B. Gaikwad, Hesam Akbari, Varun Bajaj and G.R. Sinha, Automatic detection of Parkinson’s disease using non-linear signal decomposition and machine learning techniques, Cognitive Sensing Technologies and Applications, Accepted, 2023
Shivam Vyas, Irshad Ahmad Ansari and Varun Bajaj, Robotics vision for industrial automation, Advanced Signal Processing for Industry 4.0, Volume 1, IOP Publishing, June 2023, 10.1088/978-0-7503-5247-5ch1, pp. 1-1 to 1-26.
A Kumar, A Vishwakarma, V Bajaj, Automatic identification of finger movements for industrial robotic applications using electromyogram signals, 10.1088/978-0-7503-5247-5ch12, Advanced Signal Processing for Industry 4.0, Volume 1, IOP Publishing, June 2023, pp. 12-1 to 12-19
Smith K Khare, Asif Manzoor Khan, Varun Bajaj and G R Sinha, Introduction to smart healthcare and the role of cognitive sensors Cognitive Sensors, Volume 2, IOP Publishing, 2023, 1-1 to 1-21 https://dx.doi.org/10.1088/978-0-7503-5346-5ch1
Ankit Charan Janbandhu, Ankit and Sharma, Sachin and Ansari, Irshad Ahmad and Bajaj, Varun, Drone-based vision system: surveillance during calamities, In Computational Intelligence Based Solutions for Vision Systems, IOP Publishing, 2022, Book Chapter, 1-19, https://dx.doi.org/10.1088/978-0-7503-4821-8ch1.
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
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
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.
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
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
G R Sinha, Varun Bajaj, Data Deduplication Applications in Cognitive Science and Computer Vision Research, Data Deduplication Approaches: Concepts, Strategies, and Challenges (Elsevier) 2020.
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
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.
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.
Abdulkadir Sengur, Varun Bajaj, Murat Karabatak, and Erkan Tanyildizi. "Neutrosophic similarity score-based entropy measure for focal and nonfocal electroencephalogram signal classification." In Neutrosophic set in medical image analysis, pp. 247-268. Academic Press, 2019.
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.