Dr. K. Nirmala
B.E., M.E., Ph.D.
Associate Professor
Department of Biomedical Engineering
Extn : 485
Dr. K. Nirmala is an Associate Professor in the Department of Biomedical Engineering with over twenty-three years of academic experience. She received her Bachelor of Engineering in Biomedical Instrumentation Engineering from Avinashilingam Deemed University, Coimbatore, and her Master of Engineering in Medical Electronics from the College of Engineering, Anna University, Chennai. She subsequently obtained her Doctor of Philosophy (Ph.D.) from Anna University, Chennai.
Dr. Nirmala has authored and co-authored more than sixty research publications in reputed international journals and conference proceedings. She has guided over fifty undergraduate and postgraduate research projects and has been the recipient of the Best Teacher Award on two occasions in recognition of her academic excellence. She is a member of the Institute of Electrical and Electronics Engineers (IEEE), the IEEE Engineering in Medicine and Biology Society (EMBS), and a life member of the Indian Society for Technical Education (ISTE). She has been actively involved in the organization and conduct of workshops, conferences, and seminars, contributing significantly to academic and research development in her field. Her research interests encompass image processing, machine learning, and deep learning, with a particular focus on their applications in biomedical engineering. She is Anna University recognized supervisor and currently guiding 02 PhD scholars under her supervision.
| 1 | Title | : | An integrated Framework to aid non-Contact Measurement of vital parameters for mass infection Screening |
| Funding Agency | : | AICTE RPS | |
| Status | : | completed | |
| Role | : | Co-PI | |
| 2 | Title | : | Non-invasive portable system to estimate white blood cells from the optical image of nail fold capillary circulation |
| Funding Agency | : | SSN Trust | |
| Status | : | completed | |
| Role | : | PI | |
| 3 | Title | : | Non-invasive Frequent Haemoglobin Monitoring System |
| Funding Agency | : | SSN Trust | |
| Status | : | completed | |
| Role | : | Supervisor |
- Nirmala K and Venkateswaran N (2014), “Adaptive Gamma Correction Enhanced Retinal Image for Automated Detection of Glaucoma”, International Journal of Applied Engineering Research, Vol. 9, No. 24, pp. 26999 – 27012.
- Nirmala K and Venkateswaran N (2014), “Analysis of Enhancement Techniques for Retinal Images”, International Journal of Scientific & Engineering Research, Vol. 5, No. 4, pp. 266 – 271.
- Nirmala K, Venkateswaran N and Vinoth Kumar C, (2016)” Fractal Feature based SVM Classification of Glaucomatous Image using PCA and Gabor Filter.”, International Journal of Advanced Engineering and Technology, Vol. VII/Issue I/Jan.March.,2016/ pp.156-160
- Nirmala K, Venkateswaran N and Vinoth Kumar C, (2016)” Kernel SVM Classifier for Detection of Glaucoma Using LBP based Fractal features”, Asian Journal of Information and Technology, Vol 15, No 15, pp.2702-2708(scopus 2004-2016)
- Nirmala K and Venkateswaran N, (2016) "Local Binary Pattern Features based Detection of Glaucoma using SVM Classifier", Journal of Medical Imaging and Health Informatics, Vol. 6, pp.1370–1378. (sco: 2011-2018) (TR: 0.659)
- Harshini S, Hasini M S, Shenbagavalli A, Nirmala K, “Identification of Proximal Caries from Panoramic Dental X-Rays Images”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 7(6), 2988-2944, June 2018
- Manasvi, Sai Aarthi Ganesh, Sridhar Anjali, Kunnavakkam Vinjimoor Swetha, Krishnamoorthi Nirmala, “Detection of Malarial Parasite from Blood Smear Image”, Biomedical Letters, Vol. 4, Issue 1, 24-33, Aug 2018
- Vinoth Kumar C, Natarajan V, Nirmala, K, Balasubramanian, T, Ramnarayanan Rao K, Krishnan S, “Encrypted separable reversible watermarking with authentication and error correction”, Multimedia Tools and Applications, Vol. 78, Issue. 6, 7005-7027, March 2019. (IF:2.1, Sco, TR)
- Suganthi L, Nirmala K, Shaalu Sree B.N, Pavithra S, & Yashvantha N, “Detection of Breast Cancer from Thermography Images”, International Journal of Engineering and Advanced Technology, Vol 8, Issue 6, 677-682, Aug 2019. (Sco)
- Nirmala Krishnamoorthi & Vinoth Kumar Chinnababu, “Hybrid feature vector-based detection of Glaucoma”, Multimedia Tools and Applications, Vol 78, Issue 24, 34247–34276, Dec 2019. (IF:2.101, Sco, TR)
- Monica R and Nirmala K, “Assessment of Fetal growth from Ultrasound Images using Images Processing Techniques”, International journal of Advanced Research in Basic Engineering Sciences and Technology, Vol.6, Issue.8, 2020.
- Nirmala Krishnamoorthi and Vinoth kumar Chinnababu, “WBCT Features Based Detection of Glaucoma in a Secured E-Health Environment”, Solid state Technology, Volume 63, no.6, 2020(Sco).
- Nirmala Krishnamoorthi and Vinoth kumar Chinnababu, “Pavlin’s Parameter Estimation for Detection of Glaucoma from Ultrasound Bio-microscopy Images”, Solid state Technology, Volume 63, no.3, 2020(Sco).
- Nirmala Krishnamoorthi and Vinoth Kumar Chinnababu, Hash and Prediction-error-based Reversible Watermarking for Medical Images, Fluctuation and Noise Letters, https://doi.org/10.1142/S0219477522500079, online published,2021, Clarivate 1.3, 8/28/2021(SCIEX)
- Nirmala Krishnamoorthi, Sowmiya E C and Vinoth Kumar Chinnababu “CNN based Detection and Segmentation of Lung Tumor from 3D CT Image”, Neuroquantology, July 2022, volume 20, issue 7, page 3984-3998, doi: 10.14704/nq.2022.20.7.nq33490 Q4.(SCIEX)
- Nithya and K Nirmala, “Detection of Anaemia using Image Processing Techniques from microscopy blood smear images” Journal of Physics: Conference Series, 2318 (2022) 012043. doi:10.1088/1742-6596/2318/1/012043.
- Nirmala, C. Vinoth Kumar, M. Janani, A. R. Parvathi and B. Radhika (September 2023) Camera-based Non-contact Respiratory Rate Estimation, IETE Journal of Research, DOI: 10.1080/03772063.2023.2248934 (sco, 1.5 IF, Q2)(SCIEX)
- P. Sachin Raj; K. Nirmala; Shriraam Mahadevan, Thermal image segmentation in thyroid eye diseases using image processing, AIP Conf. Proc. 2901, 080014 (2023), https://doi.org/10.1063/5.0178680, Volume 2901, Issue 1 15 December 2023, ISSN:0094-243XE-ISSN:1551-7616, (sco)
- Elumalai S, Krishnamoorthi N, Periyasamy N, Farazullah M, Raj K, Mahadevan S. Analysis of microvascular pattern in diabetes mellitus condition using the nailfold capillaroscopy images. Proc Inst Mech Eng H. 2024 Jan 27:9544119231224510. doi: 10.1177/09544119231224510. Epub ahead of print. PMID: 38279673. (IP:1.8, SCO, AU listed, Q3, clarivate, SCIE)
- Nirmala Krishnamoorthi , Venkateswaran N , Vinothkumar C, 3D Visualization and Depth Analysis of Lung Nodule from CT Images,Journal of University of Shanghai for Science and Technology, Volume 26, Issue 10, pp. 08-20,October - 2024, DOI: 10.51201/JUSST/24/1068,Q4 Sco
- Najmus Sehar, Nirmala Krishnamoorthi, C. Vinoth Kumar, ‘Deep Learning Model-Based Detection of Anemia from Conjunctiva Images’, Healthcare Informatics Research, volume 31, Issue 1, pp.57-65, January 2025, DOI:https://doi.org/10.4258/hir.2025.31.1.57 , (Q2, Scopus, TR, UGC Care, IP:2.3 SJR 0.68)