Journal Papers:

1. Nirala N, Periyasamy R, Kumar A (2019). Detection of type-2 diabetes using characteristics of toe photoplethysmogram by applying support vector machine. Biocybernetics and Biomedical Engineering, 39(1): 38-51.Volume 39, Issue 1, January–March 2019, Pages 38-51 ISSN no-0208-5216
2. Nirala N, Periyasamy R, Kumar A (2018). Potential of photoplethysmogram for the detection of calcification and stenosis in lower limb. Int J of Bioinfo Research and Applications; 14 (3):283-304. Dec 2017 https://www.inderscienceonline.com/doi/epdf/10.1504/IJBRA.2018.092704
3. Nirala N, Periyasamy R, Kumar A (2018). Non-invasive diagnostic methods for better screening of peripheral arterial disease. Annals of Vascular Surgery. Oct; 52:263-272. doi: 10.1016/j.avsg.2018.03.018
4. Nirala N, Periyasamy R, Kumar A (2018). Study of Skin flow motion pattern using photoplethysmogram. Int. J. of Advanced Intelligence Paradigms. https://www.inderscience.com/info/inarticle.php?artid=107525
5. Nirala N (2018). Study of Morning Coffee Intake in Healthy Subjects Using Pulse Rate Variability. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 6(VI):2075-2078
6. Mishra, B., Nirala, N., & Singh, B. K. (2023). Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier. Signal, Image and Video Processing, 17, 2745–2754 (2023). https://doi.org/10.1007/s11760-023-02491-5
7. Mishra, B. Nirala, N. (2023). Type2 Diabetes Classification from Short Photoplethysmogram Signal Using Multiple Domain Features and Machine Learning Techniques. Res. Biomed. Eng. 39, 541–560 (2023). https://doi.org/10.1007/s42600-023-00287-7
8. Mishra, B., Nirala, N. (2023). Identification of type-2 diabetes by electrocardiogram signal using flexible analytical wavelet transform. International journal of Biomedical Engineering and Technology, 1-20.
9. Khan, M., Singh, B. K.., Nirala, N.., Hasan, M. T.., & Nasiruddin, M. (2022). Multi-Domain Feature-based Expert Diagnostic System for Detection of Hypertension using Photoplethysmogram Signal. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 424–433.

10.  Muzaffar khan, Bikesh Kumar Singh, Neelamshobha Nirala et al. Hypertension Risk Stratification and Detection of Diabetes Mellitus- II: A Machine Learning and Deep Learning Paradigm for Early Assessment using Photoplethysmography, 10 August 2023, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-3232383/v1]

11.  Muzaffar khan, Bikesh Kumar Singh, Neelamshobha Nirala, (2023) Expert diagnostic system for detection of hypertension and diabetes mellitus using discrete wavelet decomposition of photoplethysmogram signal and machine learning technique, Medicine in Novel Technology and Devices, Volume 19,2023,100251, ISSN 2590-0935, https://doi.org/10.1016/j.medntd.2023.100251.

12.  Muzaffar khan, Bikesh Kumar Singh, Neelamshobha Nirala, (2024) Empirical wavelet decomposition of photoplethysmographic signal for hypertension risk stratification and detection of diabetes mellitus using machine learning techniques, International Journal of Medical Engineering and Informatics  Vol. 17, No. 1 pp 74-88,https://doi.org/10.1504/IJMEI.2025.143284

13.  13. Resham Raj Shivwanshi and Neelamshobha Nirala (2023).    Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment Phys. Med. Biol. 68 175038 DOI 10.1088/1361-6560/acef8c

14.  Kumar, J., Nirala, N., Singh, N.K. et al. Design, development and fluidic behaviour analysis of triply periodic minimal surface (TPMS) based scaffolds for bone-applications. Int J Interact Des Manuf (2023). https://doi.org/10.1007/s12008-023-01441-2

15.  Kumar, J., Verma, R., Singh, N.K. Nirala.N et al. Mechanical Property Analysis of Triply Periodic Minimal Surface Inspired Porous Scaffold for Bone Applications: A Compromise between Desired Mechanical Strength and Additive Manufacturability. J. of Materi Eng and Perform 32, 3335–3347 (2023). https://doi.org/10.1007/s11665-022-07322-1

Referred Conference papers

1. Nirala Neelamshobha, R. Periyasamy, Awanish Kumar, "Detection of peripheral arterial disease from Photoplethysmograph signal using Burg Autoregressive method" Abstract Accepted for oral presentation in Biterm'16 from April 15-17, 2016 held at IIT Delhi.
2. Nirala Neelamshobha, R. Periyasamy, Awanish Kumar, “Detection of Arterial Stiffness in Diabetes Using Photoplethysmograph”, World Academy of Science, Engineering and Technology, Vol:4, No:3, 2017.
3. Mishra, B. Nirala, N. S. (2020, November). A survey on denoising techniques of PPG Signal. In 2020 IEEE international conference for innovation in technology (INOCON) (pp.1-8). IEEE.
4. P. Jain, R. Raj Shivwanshi, N. Nirala and S. Gupta, "SumNet Convolution Neural network based Automated pulmonary nodule detection system," 2020 IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI), Buldhana, India, 2020, pp. 1-6, doi: 10.1109/ICATMRI51801.2020.9398414.
5. R.R. Shivwanshi and N. Nirala, "Enhancement and Segmentation Methods for Lung Cancer Detection System: A Review of A Retrospective Study," 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2021, pp. 1742-1748, doi: 10.1109/ICAC3N53548.2021.9725446.
6. R. R. Shivwanshi and N. Nirala, "Parametric Analysis of CT-image-Preprocessing for Improved Performance of Post-Processing Operation," 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART), MORADABAD, India, 2021, pp. 235-241, doi: 10.1109/SMART52563.2021.9675309.
7. Sahu, P., Singh, B.K., Nirala, N. (2023). Beta Artificial Bee Colony Algorithm for EMG Feature Selection. In: Doriya, R., Soni, B., Shukla, A., Gao, XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. Lecture Notes in Electrical Engineering, vol 946. Springer, Singapore. https://doi.org/10.1007/978-981-19-5868-7_1

Book Chapters

1. Anurag Shrivastava, Bikesh Kumar Singh and Neelamshobha Nirala. A study of the influence of meditation and music therapy on the vital parameters of the human body through EEG signal analysis: a review. Varun Bajaj and G R Sinha Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 2. Published December 2020 • Copyright © IOP Publishing Ltd 2020 Pages 4-1 to 4-17. Online ISBN: 978-0-7503-3411-2 • Print ISBN: 978-0-7503-3409-9
2. Sahu, P., Singh, B.K., Nirala, N (2021) Effect of various standing poses of yoga on musculoskeletal system using EMG. Varun Bajaj, G.R. Sinha. Computer aided Design and Diagnosis Methods for Biomedical Applications. CRC press. 2021, pages 89-112.
3. Resham Raj Shivwanshi, Neelamshobha Nirala,  Concept of AI for acquisition and modeling of noninvasive modalities for BCI, Editor(s): Varun Bajaj, G.R. Sinha, Artificial Intelligence-Based Brain-Computer Interface, Academic Press, 2022, Pages 121-144, ISBN 9780323911979, https://doi.org/10.1016/B978-0-323-91197-9.00007-2.
4. Resham Raj Shivwanshi and Neelamshobha Nirala. Role of artificial intelligence in industries for advanced applications. Irshad Ahmad Ansari and Varun Bajaj Advanced Signal Processing for Industry 4.0, Evolution, communication protocols, and applications in manufacturing systems. Volume 1 Published June 2023 • Copyright © IOP Publishing Ltd 2023 Pages 8-1 to 8-23. ISBN: 978-0-7503-5247-5