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Dr. U. Snekhalatha
Dr. U. Snekhalatha is currently working as a Professor and Head in the Department of Biomedical Engineering at SRM Institute of Science and Technology, Tamil Nadu, India.
With 22 years of teaching experience and 17 years of research experience, she made significant contributions to her field. She earned her Doctorate in Biomedical Engineering from SRMIST in 2015 and holds a master’s degree in medical Electronics from Anna University (2005) and a bachelor’s degree in Electronics and Communication Engineering from Madras University (2002).
Her research interests encompass biomedical signal processing, medical image processing, machine learning, and deep learning techniques. Dr. U. Snekhalatha has an impressive publication record, with 157 research articles in reputed peer-reviewed international journals and conferences. She’s also authored a book titled “Artificial Intelligence-based Infrared Thermal Image Processing and its Applications” in collaboration with Prof. Kurt Ammer from the University of South Wales. Furthermore, she has filed 8 Indian patents, with 5 patents granted and 3 in the published stage.
EXPERIENCE : 22 years of experience
RESEARCH INTEREST :
Medical Image processing, Biosignal Processing, Biosensors and Biomedical Instrumentation, Machine learning and deep learning techniques, Quantum machine learning techniques
No of PG projects guided: 30
No of Ph.D. students guiding: 3
No of Students Thesis Submitted: 1
No of Ph.D students completed: 5
COURSES :
UG:
- Biomedical signal processing
- Medical Image Processing
- Analog and Digital communication
- Human Anatomy and Physiology
- Signals and systems
- Digital signal processing
- Biomedical Instrumentation
- Medical Electronic devices
- Circuits and Networks
- Principles of Communication
PG:
- Methods of medical image analysis
- Digital Image Analysis
- Biomedical signal analysis
- Neural Engineering
- Medical Imaging systems
Education
publications
awards & Achievements
Workshops / Seminars / Conferences
Work Experience
memberships
Responsibilities Held
Education
| Degree | Institute/Organisation | Specialisation | Year Of Passing |
|---|---|---|---|
| Ph. D | SRM Institute of Science and Technology (formerly known as SRM University) | Biomedical Engineering | 2015 |
| M.E | Anna University | Medical Electronics | 2005 |
| B.E | Jaya Engineering College, Madras University | Electronics and Communication Engineering | 2002 |
publications
SCI Indexed Journals
- Raja Sankari VM, Snekhalatha U, Ashok Chandrasekaran, Prabhu Baskaran, Varun Dhanraj (2025). Automated Detection of Stages, Zones, and Plus Diseases of Retinopathy of Prematurity Using Quantum Convolutional Networks in Neonatal Fundus Images. Vol 160, Part B, 111938 Online 5th August 2025 Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2025.111938 (IF 8).
- Reem Alshenaifi , Yahya Alqahtani, Shabnam Aslam, Snekhalatha (2025). AI-Driven Framework for Automated Detection of Kidney Stones in CT Images: Integration of Deep Learning Architectures and Transformers online 5th August 2025 Biomedical Physics and Engineering Express 11 055002 DOI 10.1088/2057-1976/adf3ba (1.6)
- Jothiraj S, Fadiyah Almutairi, Shabnam Mohamed Aslam, Snekhalatha (2025). Binary and Multi-Class Classification of Colorectal Polyps Us-ing CRP-ViT: A Comparative Study Between CNN and QNN. Life 2025, 15, 1124. https://doi.org/10.3390/life15071124 online 17th July (IF 3.4).
- Rudrani, Rajasankari VM, Snekhalatha (2025). Automated Semantic Segmentation and Prediction of Alzheimer’s in Structural and functional MRI images based on deep learning techniques Biomedical Engineering: Application, Basis and Communications online 3rd July 2025 https://doi.org/10.4015/S1016237225500346 (IF 0.6).
- Jothiraj Selvaraj, Kishwar Sadaf, Shabnam Mohamed Aslam and Snekhalatha Umapathy (2025). Multiclassification of Colorectal Polyps from Colonoscopy Images Using AI for Early Diagnosis. Diagnostics 2025, 15, 1285. https://doi.org/10.3390/diagnostics15101285 online 20th May 2025 (IF 3).
- Rudrani, Rajasankari VM, Snekhalatha, (2024). Deep learning for Early detection of Alzheimer’s disease: rs-fMRI based binary classification. Frontiers in medicine: Pathology online 12th Dec 2024 https://doi.org/10.3389/fmed.2024.1520878 (IF 3.1)
- Richa Rashmi, Snekhalatha (2024). Design and Development of Portable Body Composition Analyzer for Children. Diagnostics J online 25th Nov 14(23), 2658; https://doi.org/10.3390/diagnostics14232658. (IF 3)
- Rajasankari VM, Snekhalatha (2024). Computer-Aided Diagnosis of Early-Stage Retinopathy of Prematurity in Neonatal Fundus Images Using Artificial Intelligence BPEX J. Nov 21;11(1). doi: 10.1088/2057-1976/ad91ba (IF 1.3)
- Backiyalakshmi G, Snekhalatha (2024). Exploring Reduction Techniques for GrapheneOxide: A Comparative Study of Thermal and Chemical Methods. ChemSelect Journal 9, e202403827 (1-7) online 15th November 2024. doi.org/10.1002/slct.202403827 (IF 1.9)
- Jothiraj S, U.Snekhalatha, Nanda Amarnath Rajesh (2024). Artificial Intelligence Based Real Time Colorectal Cancer Screening Study: Polyp Segmentation and Classification Using Multi-House Database online Biomedical Signal Processing and Control J 25th September 2024. Vol 99, 106928, https://doi.org/10.1016/j.bspc.2024.106928 (IF 4.9).
- Ahalya RK, Shabnam MA, Snekhalatha, Fadiyah Almutairi, (2024). RA- XTNet: A Novel CNN Model to Predict Rheumatoid Arthritis from Hand Radiographs and Thermal Images: A Comparison with CNN Transformer and Quantum Computing. Diagnostics Journal 14, 1911, https://doi.org/10.3390/diagnostics14171911 online 30th August 2024 (IF 3).
- Sowmiya S, Snekhalatha Umapathy, Omar Alhajlah, Fadiyah Almutairi, Shabnam Aslam, Ahalya R.K (2024). F- Net: Follicles Net an efficient tool for the diagnosis of polycystic ovarian syndrome using Deep Learning techniques. PLoS ONE 19(8): e0307571. https://doi.org/10.1371/journal.pone.0307571 online 15th August (IF 2.9).
- Jothiraj S, U.Snekhalatha, Nanda Amarnath Rajesh (2024). Advancing Colorectal Polyp Detection: an Automated Segmentation Approach with COLRECTSEG-UNET, Biomedical Engineering: Application basis and communication 22nd July 2024 https://doi.org/10.4015/S1016237224500315 IF (0.6).
- Rudrani, Rajasankari VM, U.Snekhalatha, Nanda Amarnath Rajesh, Anela L.Salvador (2024). “Explainable AI based Automated Segmentation and Multi-Stage Classification of Gastroesophageal Reflux using Machine learning Techniques. BPEX Journal online 20th June 2024 DOI 10.1088/2057-1976/ad5a14 (IF 1.4)
- Usha Rani T, Snekhalatha, Vinay kumar Ravi (2024). Tongue image fusion and analysis of thermal and visible images in diabetes mellitus using machine learning techniques. Sci Rep 14, 14571 (2024). 24th June. https://doi.org/10.1038/s41598-024-64150-0. (IF 3.8)
- Backiyalakshmi G, Snekhalatha U, Anela L. Salvador (2024). Recent advancements in non-invasive wearable electrochemical biosensors for biomarker analysis – A review. Analytical Biochemistry online 25th May 2024 https://doi.org/10.1016/j.ab.2024.115578 (IF 2.9).
- Ahalya RK, Gloria, U. Snekhalatha (2024) Automated detection of Parkinson’s disease based on Hybrid CNN and quantum Machine learning Techniques in MRI images. Biomedical Engineering Application basis and communication Journal Online 22nd Feb 2024, https://doi.org/10.4015/S1016237224500054 (IF 0.9).
- Jothiraj S, Snekhalatha (2023), CRP U-Net: A deep learning approach to segment colorectal Polyp in Colonoscopy images Biomedical Physics Engineering Express online 27th Dec 2023 doi: 10.1088/2057-1976/ad160f (IF 1.4)
- Prinith Kaveremma, Snekhalatha, Varshini Karthik, Anuradha M (2023), Ultrasound-based Machine learning aided detection of Uterine fibroids: Integrating Vision Transformer for Improved analysis. Biomedical Engineering Application basis and communication. https://doi.org/10.4015/S1016237223500333 Online 7th Nov 2023 (IF 0.9).
- Rajashankari, Dattanand Arun Nayakar, U. Snekhalatha, Varshini Karthik, Veerendra Shetty (2023) Automated Detection of Cystitis in Ultrasound images using Deep Learning Techniques IEEE Access online 20th Sep 2023, http://dx.doi.org/10.1109/ACCESS.2023.3317148
- R. K.Ahalya, Fadiyah M.Almutairi , U. Snekhalatha, Varun Dhanraj, Shabnam M.Aslam (2023). RANet: A Custom CNN Model and Quanvolutional Neural Network for the Automated Detection of Rheumatoid Arthritis in Hand Thermal Images. Scientific Reports 13, 15638 online 20th Sep 2023, https://doi.org/10.1038/s41598-023-42111-3.
- U.Snekhalatha, Murugappan M, Deepa B, Mahima T, (2023). Computer aided detection and classification of intracranial Hemorrhage in CT images using deep learning techniques. Diagnostics 13, 2987, online 19th September 2023, https://doi.org/10.3390/diagnostics13182987
- Rajashankari, U. Snekhalatha, Sultan Alasmari, Shabnam Mohamed Aslam (2023) Automated Detection of Retinopathy of prematurity using Quantum Machine Learning and Deep Learning Techniques IEEE Access 7th September, 11: 94306-94321, 2023 (IF3.9).
- Prinith Kaveremma, U. Snekhalatha, Varshini Karthik, Anuradha M (2023) Ultrasound based Machine learning aided detection of Uterine Fibroids: Computer vision perspective. BEABC J Accepted August 2023.
- Sowmiya, U. Snekhalatha (2023) Renal Cyst Detection in Abdominal MRI Images Using Deep Learning Segmentation. Biomedical Engineering Application basis and communication online 31st August 2023 https://doi.org/10.4015/S1016237223500229. (IF 0.9).
- Rajashankari, U. Snekhalatha, M Murugappan (2023). Artificial intelligence-based hearing loss detection using acoustic Threshold and speech perception level Arabian Journal of Science and Engineering J Online 19th May 2023 https://doi.org/10.1007/s13369-023-07927-1 (IF 2.807).
- U. Snekhalatha, Raja D, Rajalakshmi T (2023) Design of patient specific HIP prosthesis based on Finite element analysis: A comparative study, Biomedical Engineering Application basis and communication Online 22nd July 2023(IF 0.9).
- Richa Rashmi, U.Snekhalatha, Anela L Salvador, Alex Noel Joseph Raj (2023). Automated Facial Emotion Detection using Thermal and Visual Images Based on Deep Learning Techniques Imaging science journal online 18thApril2023. https://doi.org/10.1080/13682199.2023.2199504 (IF 0.871).
- Rajashankari, U.Snekhalatha, Ashok C, Prabhu B (2023). Automated Diagnosis of Retinopathy of Prematurity from Retinal Images of Preterm Infants using Hybrid Deep Learning Techniques BSPC J 85; 104883, online 28th March 2023 (IF 5.07).
- Ahalya RK, U. Snekhalatha, Varun Dhanraj (2022), Automated segmentation and classification of hand thermal images in rheumatoid arthritis using machine learning algorithms: A comparison with quantum machine learning technique. Journal of Thermal biology, online 5th Dec 2022 DOI: https://doi.org/10.1016/j.jtherbio.2022.103404 (IF 3.189)
- Mahima, U.Snekhalatha (2022). Multi-stage classification of Alzheimer’s disease in 18F-FDG-PET imaging using Deep learning techniques. APES J online 10th Nov 2022 (IF 7.099)
- Richa Rashmi, Snekhalatha, Palani Thanaraj Krishnan (2022), Fat based studies for computer assisted screening of child obesity using thermal imaging based on deep learning techniques: A comparison with quantum machine learning approach. Soft computing Journal. Online 29th Jan 2022 https://doi.org/10.1007/s00500-021-06668-3 (IF 3.643).
- Ahalya RK, U.Snekhalatha, Palani Thanaraj Krishnan, Alex Noel Raj (2022), Automated Assessment of Rheumatoid arthritis from Hand Radiographs using deep learning Techniques. JEIOM online 13th July 2022 DOI: 10.1177/09544119221109735 (IF 1.763).
- Bhargavee Guhan, Laila almutari, Sowmiya S, U.Snekhalatha, T.Rajalakshmi, Shabnam Mohammed Aslam (2022). Automated System for classification of COVID-19 Infection from Lung CT Images based on Deep Learning Techniques. Sci Rep 12: 17417; October 2022 (IF 4.99)
- Ramji K, U. Snekhalatha, Usha Rani T (2021). A Breathalyzer for the Assessment of Chronic Kidney Disease Patients Breath print: Breath Flow Dynamic Simulation on the Measurement Chamber and Experimental Investigation. Biomedical Signal Processing and Control Journal online 18th August 2021 DOI:https://doi.org/10.1016/j.bspc.2021.103060 (IF 3.88).
- U. Snekhalatha, Palani Thanaraj Krishnan, (2021), Automated detection of Orofacial Pain from Thermograms using Machine Learning and Deep Learning Approaches. Expert systems Online 8th June 2021 (IF-1.546).
- Kavya, U. Snekhalatha, Palani Thanaraj Krishnan (2021). Deep learning techniques for Automated classification of Autism using Thermal imaging JEIOM Online 9th June 2021 https://doi.org/10.1177%2F09544119211024778 (IF-1.28).
- Vijaysai, T.Rajalakshmi, U.Snekhalatha (2021). A Non invasive Thyroid detection based on Electroglottogram signal using machine learning classifiers. Accepted JEIOM 8th June 2021(IF-1.28)
- Richa Rashmi, U. Snekhalatha, Palani Thanaraj Krishnan (2021), Thermal Imaging method to evaluate childhood obesity based on machine learning techniques IMA published online 20th March 2021 https://doi.org/10.1002/ima.22572 (IF 1.925).
- U.Snekhalatha, Palani Thanaraj K, Sangamithirai K, (2020), Computer aided diagnosis of obesity detection based on thermal imaging using various convolutional Neural Networks Biomedical Signal Processing and Control Journal online 29th September 2020 https://doi.org/10.1016/j.bspc.2020.102233 (IF 3.137)
- K.Ramji, U.Snekhalatha, Radhakrishnan K, Uthvag S (2020), Adsorption kinetics feature extraction from breath print obtained by graphene based sensors for diabetes diagnosis. Accepted in Journal of Breath Research on 6th Oct 2020 (IF 3)
- Usha Rani, U.Snekhalatha, Kumar JS (2020). Computer aided diagnostic method for the Evaluation of Type II Diabetes Mellitus in facial thermograms Australian Physical and Engineering Sciences Journal DOI 10.1007/s13246-020-00886-z on line 10th June 2020 (IF 1.006)
- Palani Thanaraj Krishnan, Parvathavarthini Balasubramanian, Snekhalatha Umapathy (2020), “Automated heart sound classification system from unsegmented PCG using deep neural network” Australian Physical and Engineering Sciences Journal https://doi.org/10.1007/s13246-020-00851-w, online 11th Feb 2020 (IF 1.006)
- Usha Rani, U.Snekhalatha, Palani Thanaraj K, Kumar JS (2020), Human Tongue Thermography Could be a Prognostic Tool for Prescreening the Type II Diabetes Mellitus. Evidence-Based Complementary and Alternative Medicine. Journal vol. 2020, Article ID 3186208, 16 pages, 2020. https://doi.org/10.1155/2020/3186208..(IF 2.06)
- U.Snekhalatha, T.Rajalakshmi, Nilkanth Gupta, Suma (2019), Thermography and Colour Doppler Ultrasound: A Potential Complimentary Diagnostic Tool in Evaluation of Rheumatoid Arthritis in Knee Region Biomedical Engineering online 10th dec 2019 DOI: https://doi.org/10.1515/bmt-2019-0051 (IF 1.007).
- K.Ramji, U.Snekhalatha (2019), An overview on the exponential Growth on Non-Invasive Diagnosis of Diabetes Mellitus from exhaled breath by nano structed metal oxide chemo- resistive gas sensors and µ-preconcentrator -An overview Biomedical Micro devices online 3rd dec 2019, https://doi.org/10.1007/s10544-019-0448-z (IF 2.327).
- K.Ramji, U.Snekhalatha, Rohini, Ganesh, S.Yuvaraj (2019) Comparative study on the preparation and Gas sensing properties of Graphene oxide/SnO2 Binary nanocomposite for Detection of Acetone in Exhaled Breath Analytical chemistry 14th March 2019 DOI: 10.1021/acs.analchem.8b05670 (IF 6.042)
- K.Ramji, U.Snekhalatha (2019) A Comparison of Exhaled Breath Online and Offline Measurements for Diabetes Pre-Screening by Graphene-based Sensor: From Powder Processing to Clinical Monitoring Prototype, Journal of breath Research, online Feb 22nd 2019 https://doi.org/10.1088/1752-7163/ab09ae (IF 3.489)
- D.Ashok kumar, M.Anburajan, U.Snekhalatha (2018) “Evaluation of low bone mass and prediction of fracture risk using metacarpal radiogrammetry method: A comparative study with DXA and X-ray Phantom” International Journal of Rheumatic diseases July 2018; 21: 1350-1371 (IF 2.42)
- K.Ramji, U.Snekhalatha, S.Yuvaraj (2018), An investigation of GO-SnO2-TiO2 ternary nanocomposite for the detection of acetone in diabetes mellitus breath. Applied Surface science 2018; 449: 677-684(IF 4.439)
- U.Snekhalatha, T.Rajalakshmi, Gopikrishnan, Nilkantha Gupta (2017) “Computer based automated analysis of x-ray and Thermal imaging of Knee region in Evaluation of Rheumatoid arthritis” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, on line: 27th October 2017 https:// doi: org/10.1177/095441 1917737329 (IF: 1.124)
- U.Snekhalatha , Sowmiya V,xa0 Nilkantha Gupta (2017), A computer aided diagnostic based Thermal image Analysis: A potential tool for the Evaluation of Rheumatoid Arthritis in Hand” Journal of Medical and Biological Engineering, on line: 30th September 2017, DOI: https://doi.org/10.1007/s40846-017-0338-x (IF 1.21)
- Snekhalatha U, Muthubhairavi V, Anburajan M, Neelkanth Gupta (2016), “Ultrasound Color Doppler Image Segmentation and Feature Extraction in MCP and Wrist region in Evaluation of Rheumatoid Arthritis, Journal of medical systems 2016, 40:197, DOI:10.1007/s10916-016-0552-z (IF 2.64)
- Snekhalatha U, Anburajan.M , Sowmiya V, Venkatraman.B, Menaga.M, Automated hand thermal image segmentation and feature extraction in evaluation of rheumatoid arthritis (2015) ” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 229(4):319-331, April 2015, DOI: 10.1177/0954411915580809 (IF 1.124).
- Snekhalatha U, Anburajan M (2015), “Computer Based Measurements of Joint space analysis at metacarpal morphometry in Hand Radiograph for evaluation of Rheumatoid arthritis”. International Journal of Rheumatic disease, online March 2015, DOI: 10.1111/1756-185X.12559 (IF 2.4)
- Snekhalatha.U, Anburajan.M (2013) “Association between Bone mineral density and body composition in south Indian Rheumatoid arthritis Patients: A cross sectional study”, Akutelle Rheumatologie; 38: 1-7,doi: http://dx.doi.org/10.1055/s-0033-1351301 (IF:0.1)
- Snekhalatha.U, Anburajan.M ,B.Venkatraman, M.Menaga, Baldev Raj (2012) “Evaluation of Complete Freund Adjuvant Induced Arthrtitis model in Wistar rats by Thermography, A comparison with histopathology”. Zeitschrift fur Rheumatologie 2012; 4:375-382, doi: 10.1007/s00393-01201083-8 (IF: 0.7).
- Snekhalatha.U ,Anburajan.M (2012) “Evaluation of Functional Ability of Rheumatoid Arthritis Based on HAQ Score and BMD among South Indian Patients”, Rheumatology International 2012;32:1997-2004 (IF: 1.952)
Scopus Indexed Journals
- Harin, Dinesh, Kaviyarasan, Snekhalatha (2024). Prediction Of Gastric Carcinoma in Stomach Based on Histopathology Images Using Deep Learning Techniques. 27(4), 8425-8429, online 19th Dec, African Journal of Biomedical Research (SNIP 0.140).
- K.Ahalya, U.Snekhalatha (2024). ConvNeXt Model for the Classification of Rheumatoid Arthritis using Thermal Images. 27(4), 8540-8543, online 19th Dec, African Journal of Biomedical Research (SNIP 0.140).
- Veerabahu, S. T. M., & Snekhalatha, U. (2024). Bio inspired unpowered ankle exoskeleton and its correlation to pelvic list. Multidisciplinary Science Journal, (| AcceptedArticles). Retrieved from https://malque.pub/ojs/index.php/msj/article/view/2076
- Ahalya RK, U.Snekhalatha, Palani Thanaraj Krishnan (2023). Hybrid AI model for the detection of Rheumatoid Arthritis from hand radiographs. BEABC J Online 28th April 2023
- Niryukta, Snekhalatha, T.Rajalakshmi (2023). Automated Audiometer for Home Based Healthcare based On Mobile App. AIP Conference Proceedings 2603, 030011-1–030011-8; https://doi.org/10.1063/5.0126375
- Ahalya, Snekhalatha (2023).Deep learning models for the estimation of Rheumatoid arthritis in hand radiographs. AIP Conference Proceeding 2603, 020004-1–020004-7; https://doi.org/10.1063/5.0126373
- Anbarasi, Snekhalatha (2023). Evaluation of Osteoarthritis In Plain Radiographs Using Machine Learning Algorithm. AIP Conference Proceedings 2603, 020016-1–020016-10; https://doi.org/10.1063/5.0126374
- Rajalaksmi, T.Reshma Ruth, S. Mohnish, T.Rajalakshmi, U.Snekhalatha (2023) . A novel lung tumor detection technique using Fast Greedy Snake Algorithm AIP Conference Proceedings 2603, 020022-1–020022-8; https://doi.org/10.1063/5.0126492
- Niryukta, U.Snekhalatha, T.Rajalakshmi (2023). Audiometer Based on Bone Conduction For Accessing the Hearing Deficiency. AIP Conference Proceedings 2427, 020014 (2023); https://doi.org/10.1063/5.0100943 Published Online: 27 February 2023
- Rajalakshmi, Nihila S, U.Snekhalatha (2023) Automatic detection of diabetic retinopathy. AIP Conference Proceedings 2427, 020014 (2023); https://doi.org/10.1063/5.0100943 Published Online: 27 February 2023
- Richa Rashmi, U.Snekhalatha (2023). Automated Detection of Childhood Obesity in Abdominopelvic Region using Thermal Imaging Based on Deep Learning Techniques. Online 1st Feb 2023, BEABC J. https://doi.org/10.4015/S1016237222500533
- Sathyamoorthy, U.Snekhalatha, T.Rajalakshmi (2022). Facial Emotion detection in Digital and Thermal images using machine learning Techniques. BEABC J online 10th Dec 2022, DOI: https://doi.org/10.4015/S1016237222500521.
- Rajashankari, U.Snekhalatha, Rajalakshmi T (2022). Design and Development of Portable Automated Audiometer for diagnosis of Hearing classification based on machine learning approaches, Biomedical Engineering: Application, Basis and communication Journal Online 13th June 2022,34(5), 2250035 (SNIP 0.377).
- S.Rajalakshmi, Reshma Ruth paul, T.Rajalakshmi, U.Snekhalatha (2022). A Lung Tumor Detection Technique using Gradient vector flow Algorithm. AIP Conference Proceedings 2405, 020004 April (2022); https://doi.org/10.1063/5.0072457 SNIP: 0.314
- Gayathri N, Shaik Mohammed, Monisha, .Rajalakshmi, U.Snekhalatha (2022). Detection of face skin cancer using Deep Convoluted Neural Network. AIP Conference Proceedings 2405, 020003 April (2022); https://doi.org/10.1063/5.0072455 SNIP 0.314
- Bhargavee Guhan. Sowmiya S, Bukka Shivani, U.Snekhalatha, T.Rajalakshmi (2021). Automated Segmentation of COVID-19 Regions from Lung CT Images using Watershed Algorithm and Classification using Machine Learning Classifiers. Biomedical Engineering: Application, Basis and communication Journal online 30th October 2021. 34; 2250002, DOI: https://doi.org/10.4015/S1016237222500028 SNIP: 0.374.
- Bhargavee Guhan. Sowmiya S, U.Snekhalatha, T.Rajalakshmi (2021). Automated segmentation of Heel Fissure based on Thermal Imaging Processing and classification using machine learning algorithms Biomedical Engineering Application Basis Communications J online May 2021 https://doi.org/10.4015/S1016237221500320. SNIP: 0.374
- Richa Rashmi, U.Snekhalatha (2020), Thermal imaging method in the evaluation of obesity in various body regions – A preliminary study. IOP conference series, Material science Engineering, 912, 062022 doi:10.1088/1757-899X/912/6/062022 SNIP 0.543
- Tuhin Sen Gupta, U.Snekhalatha, T.Rajalakshmi (2020), Smart Helmet Arduino Kindled Optimization. IOP conference series, Material science Engineering, 912 062023 doi:10.1088/1757-899X/912/6/062023 SNIP 0.543
- Meghna Sampath, U.Snekhalatha, Nelufer, Sakhshi, Sakshi Srivastava (2020), Thermal imaging in the evaluation of Psoriasis in upper limb region. IOP conference series, Material science Engineering,912 062026 doi:10.1088/1757-899X/912/6/062026 SNIP 0.543
- Gayathri, Sheik, Monisha, T.Rajalakshmi, U.Snekhalatha (2020), A hand held device to monitor physiological changes in Sweat. IOP conference series, Material science Engineering, 912 062036, doi:10.1088/1757-899X/912/6/062036 SNIP 0.543
- Santhoshini Arulvallal, U.Snekhalatha, (2020), Sleep Apnea detection using Smart Watch and data analysis using Neural networks International Journal of Scientific and Technology Research 9(1); 904-907, Jan 2020.
- Richa Rashmi, U.Snekhalatha (2019) “Evaluation of body composition parameters using various diagnostic methods: A Meta analysis study” Obesity Medicine.https://doi.org/10.1016/j.obmed.2019.100150. online 11th October 2019
- T.Rajalakshmi, U.Snekhalatha, Jisha baby (2018). Segmentation of liver tumor using fast greedy snake algorithm. Biomedical Engineering: Application Basis and Communications https://doi.org/10.4015/S1016237219500133 Online March 2018.
- U.Snekhalatha, D.Ashok kumar, PadmajaVasan (2018), “Semi-automated approach in the evaluation of low bone mass using clavicle radiogrammetry technique” International journal of Engineering and Technology (UAE), 7 (2.8), 169-174 March 2018.
- U.Snekhalatha, Nida Mir, Mehvish Khan, Parimal Raj, Vimaladhithan, yeshi choden (2018), Facial Thermography: A potential tool to evaluate the dental disorders, International journal of Engineering and Technology (UAE), 7(2.8), 175-181.
- U.Snekhalatha, T.Rajalakshmi, Gopikrishna (2018), Automated Segmentation of knee thermal imaging and x-ray in Evaluation of Rheumatoid arthritis, International journal of Engineering and Technology (UAE), 7(2.8), 326-330
- Snekhalatha U, T.Rajalakshmi, Vinitha Sri, Balachander, Shankar (2018), Non invasive measurement of blood glucose based on galvanic skin resistance in diabetes mellitus Biomedical Engineering: Application Basis and Communications online 27th Feb 2018, https://doi.org/10.4015/S1016237218500096 (SNIP 0.207)
- U.Snekhalatha, T.Rajalakshmi, Shamila Rachel (2017), “Automated Speech signal analysis, feature extraction and classification of Spasmodic dysphonia: A performance comparison using different neural networks” International Journal of Speech Technology, online 31st October 2017, DOI: 10.1007/s10772-017-9471-8, Scopus indexed (SNIP 1.038)
- D.Ashok kumar, Muhammed javad, U.Snekhalatha (2017) “Assessment of low bone mass using Peripheral Dual X-Ray Absorptiometry(Pdxa) in different ethnic groups”. Asian Journal of Pharmaceutical and clinical Research 10 (9); 74-77, Sep 2017 Scopus and Elsevier indexed (SNIP 0.567)
- Shamila rachel,U.Snekhalatha, Vedhasorubini, Balakrishnan D (2017), Spectral Analysis and Feature Extraction of Speech Signal in Dysphonia patients, International Journal of Pure and Applied mathematics, May 2017; 113(11): 151-160 Scopus and Elsevier indexed (SNIP 0.635)
- Suma, U.Snekhalatha, T.Rajalakshmi (2016), Evaluation of Rheumatoid arthritis in thermography and color Doppler ultrasound, International journal of control theory and applications, 9(37); PP 443-457, 2016 Scopus indexed.
- Nirmal Adam Sait, M. Thangarajan, U.Snekhalatha (2016) Neural network based on Verilog HDL for fetal ECG extraction, International Journal of Biomedical Research , 7(10): 698-701, Nov 2016
- Snekhalatha.U, Anburajan.M, B.Venkatraman, M.Menaka and Baldev Raj (2011), “Thermal Imaging Method for Evaluation of Rheumatoid Arthritis in Small Animal Model– A Preliminary Study, CIIT international journal of digital image processing August 2011;3(13):859-863 DOI: DIP082011009
Books Published:
U. Snekhalatha, Palani Thanaraj Krishnan, Kurt Ammer book titled “Artificial Intelligence-based Infrared Thermal Image Processing and its Applications”. Book Publisher: CRC Press Taylor and Francis Group. Online 27th July 2022. ISBN 9781032158143
Book Chapter Publications:
- Ahalya RK, U. Snekhalatha, (2025), Artificial Intelligence-Based Automated Detection of Rheumatoid Arthritis In book: Handbook of Deep Learning Models for Healthcare Data Processing. Taylor and Francis. Online 30th June 2025 DOI: 10.1201/9781003467281-8.
- U.Snekhalatha, Harshavardhan Reddy, M.Murugappan (2025). RAEXO: A Smartphone controlled Rheumatoid Arthritis Exoskeleton with partially active actuation mechanism. In Necrobotics for Healthcare Applications and Management, 1st Edition – online 7th march, 2025, 259-274, eBook ISBN: 9780443248337
- Nabarun Polley, Backiyalakshmi, U.Snekhalatha (2024). Chapter 6: Nanotechnology in Bio-sensing: The Future of Disease Diagnosis in Basak, P., Das, P., Manna, S., & Sinha, T.K. (Eds.). (2024). Applications of Nanotechnology in Biomedical Engineering (1st ed.). CRC Press. https://doi.org/10.1201/9781003432661, e-ISBN 9781003432661, CRC Press, Online 20th dec 2024.
- Ahalya RK, Snekhalatha U (2024). CNN Transformer for the Automated Detection of Rheumatoid Arthritis in Hand Thermal Images. Book title: Artificial Intelligence over Infrared Images for Medical Applications Third International Conference, AIIIMA 2024, Virtual Event, November 9, 2024, Proceedings. Lecture Notes in Computer Science https://doi.org/10.1007/978-3-031-76584-1 e-ISBN 978-3-031-76584-1 online 2nd November 2024. SNIP 0.590
- Raja Sankari, V.M., Snekhalatha, U. (2024). Hybrid Network Model for the Prediction of Retinopathy of Prematurity from Neonatal fundus images. In: Abraham, A., Bajaj, A., Hanne, T., Siarry, P. (eds) Intelligent Systems Design and Applications. ISDA 2023. Lecture Notes in Networks and Systems, vol 1046. Springer, Cham. https://doi.org/10.1007/978-3-031-64813-7_27 online 24th July
- Nkondo, G.F., Snekhalatha, U., Salvodar, A.L. (2024). Detecting Parkinson’s Disease at an Early Stage Through Machine Learning Analysis of Brain MRI Images. In: Abraham, A., Bajaj, A., Hanne, T., Siarry, P. (eds) Intelligent Systems Design and Applications. ISDA 2023. Lecture Notes in Networks and Systems, vol 1046. Springer, Cham. https://doi.org/10.1007/978-3-031-64813-7_12 online 24th July ISBN 978-3-031-64813-7.
- B. Sathyamoorthy, U. Snekhalatha, T. Rajalakshmi (2024). Detection of facial emotion using thermal imaging based on deep learning techniques. Affective Computing Applications using Artificial Intelligence in Healthcare: Methods, approaches and challenges in system design, 2024, p. 21 – 38. Online 5th June 2024.
- Ganesh, K., Umapathy, S., Krishnan, P.T. (2022). Computer Aided Diagnosis of Autism Spectrum Disorder Based on Thermal Imaging. In: Raman, B., Murala, S., Chowdhury, A., Dhall, A., Goyal, P. (eds) Computer Vision and Image Processing. CVIP 2021. Communications in Computer and Information Science, vol 1567. Springer, Cham. https://doi.org/10.1007/978-3-031-11346-8_3 6th IAPR International conference on Computer Vision and Image Processing IIT Ropar, India
- Thakur M., Snekhalatha U., Shafi M.N., Gupta S.R., Roy S.R., Vineetha S. (2021) Epileptic Seizure Detection Using Deep Bidirectional Long Short-Term Memory Network. In: Shakya S., Balas V.E., Kamolphiwong S., Du KL. (eds) Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1408. pp 893-905. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_69
- U.Snekhalatha, Meghna Sampath, Nelufer, Sakshi Srivastava (2021), Automated segmentation and classification of Psoriasis hand thermal images using machine learning algorithm. International conference on Intelligent system and signal processing (e-issp 2020), Advances in Intelligent system and computing. pp 487-496 Jan 2022.
- U. Snekhalatha, Lakshmi swathi, Harsha vardhan reddy, (2021), A Wearable Finger Exoskeleton for Motor Rehabilitation Using Mobile Application. International conference On Intelligent system and signal processing (e-issp 2020), Advances in Intelligent system and computing. pp 13-24 Jan2022.
- Richa Rashmi, U. Snekhalatha (2021), Thermal imaging analysis in detection of childhood obesity in cervical region using machine learning classifiers. International conference on Intelligent system and signal processing (e-issp 2020), Advances in Intelligent system and computing. pp 497-510. Jan2022.
- U. Snekhalatha, Palani Thanaraj K, Sangamithirai K, (2021), Obesity detection in thermal imaging using convolutional neural network. A comparison with machine learning model. International conference on Intelligent system and signal processing (e-issp 2020), Advances in Intelligent system and computing.pp 583-592. Jan2022
- U. Snekhalatha, Haritha Nair, Neha Pravin (2021), Sensor Based Smart Glove for Rehabilitation of paralysis patients. International conference on Intelligent system and signal processing (e-issp 2020), Advances in Intelligent system and computing. pp 761-767 Jan2022
- S.Rajalakshmi, Reshma Ruth paul, T.Rajalakshmi, U.Snekhalatha. Non invasive Thyroid detection using Thermal Imaging Techniques. International conference on Intelligent system and signal processing (e-issp 2020), Advances in Intelligent system and computing. pp 157-170. Jan2022
- Meghna Sampath, U.Snekhalatha Nelufer, Sakhshi, Sakshi Srivastava(2020), Comparison of manual and semi-automated method in measurement of Joint space width measurement in feet region of RA patients In: Sharma D., Balas V., Son L., Sharma R., Cengiz K. (eds) Micro-Electronics and Telecommunication Engineering. Lecture Notes in Networks and Systems, vol 106. Springer, Singapore, https://doi.org/10.1007/978-981-15-2329-8_11 PRINT ISBN: 978-981-15-2328-1, online 3rd April 2020.
- Usha Rani, U.Snekhalatha (2020), Classification of Prediabetes and Healthy Subjects in Plantar Infrared Thermal Imaging Using Various Machine Learning Algorithms In: Sharma D., Balas V., Son L., Sharma R., Cengiz K. (eds) Micro-Electronics and Telecommunication Engineering. Lecture Notes in Networks and Systems, vol 106. Springer, Singapore, https://doi.org/10.1007/978-981-15-2329-8_11 PRINT ISBN: 978-981-15-2328-1, online 3rd April 2020.
- Anu Priya M., Snekhalatha U., Mahalakshmi R., Dhivya T., Gupta N. (2020) Design and Analysis of Customized Hip Implant Using Finite Element Method. In: Dash S., Lakshmi C., Das S., Panigrahi B. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 1056. Springer, Singapore https://doi.org/10.1007/978-981-15-0199-9_44, pp 515-525, e-ISBN 978-981-15-0199-9, PRINT ISBN: 978-981-15-0198-2, online 9th Feb 2020 (SNIP 0.434)
- Nida Mir, U.Snekhalatha, Mehvish Khan, yeshi choden, (2019), Thermal Image segmentation of facial thermograms using k-means algorithm in the evaluation of orofacial pain, In: Durai Pandian, Xavier Fernando, Zubair Baig, Fuqian Shi Proceedings of International conference on ISMAC in computational vision and Bio-Engineering 2018, Lecture notes in computational vision and biomechanics, Springer Nature Switzerland AG, 1st ed 2019, vol 30, pp 565-572. Doi:10.1007/978-3-030-00665-5, e book ISBN: 978-3-030-00665-5, ISSN: 2212-9391
- Sangamithirai, U.Snekhalatha, Sanjeena R, Lipika, (2019), Thermal imaging of abdomen in evaluation of obesity: A comparison with Body composition analyzer-A Preliminary study. In: Durai Pandian, Xavier Fernando, Zubair Baig, Fuqian Shi Proceedings of International conference on ISMAC in computational vision and Bio-Engineering 2018, Lecture notes in computational vision and biomechanics, Springer Nature Switzerland AG, 1st ed 2019 vol 30, pp 79-88, Doi:10.1007/978-3-030-00665-5, ebook ISBN: 978-3-030-00665-5, ISSN: 2212-9391
- Jisha baby, T.Rajalakshmi, U.Snekhalatha (2019). Detection of liver tumor using gradient vector flow algorithm. In: Durai Pandian, Xavier Fernando, Zubair Baig, Fuqian Shi. Proceedings of International conference on ISMAC in computational vision and Bio-Engineering 2018, Lecture notes in computational vision and biomechanics, Springer Nature Switzerland AG, 1st ed 2019 vol 30, pp 1065-1066, Doi:10.1007/978-3-030-00665-5, e book ISBN: 978-3-030-00665-5, ISSN: 2212-9391
- U.Snekhalatha., Gomathy V. (2018) Ultrasound Thyroid Image Segmentation, Feature Extraction, and Classification of Disease Using Feed Forward Back Propagation Network. In: Saeed K., Chaki N., Pati B., Bakshi S., Mohapatra D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 563. Pp 89-98 online feb 9th 2018, Springer, Singapore
- Shamila rachel, U.Snekhalatha, Vedhasorubini, Balakrishnan D (2018), Spectral Analysis of speech signal characteristics: A comparison between Healthy control and laryngeal disorder, Springer International Conference on Intelligent Computing and Applications (ICICA 2016), Advances in Intelligent system and computing, Springer, Jan 2018, pp 333-341 DOI: 10.1007/978-981-10-5520-1_31
- Snekhalatha U, Anburajan M (2016), Automated hand Radiograph segmentation, feature extraction and classification using feed forward BPN network in evaluation of Rheumatoid arthritis, Proceedings of 2nd International Conference on Intelligent Computing and Applications Advances in Intelligent system and computing, Springer, Singapore 2016.Vol 467,pp 133-154, DOI:10.1007/978-981-10-1645-5
- Sugantha Bhatacharrya, U.Snekhalatha (2015), Classification of Right bundle branch block and left bundle branch block cardiac arrthymias based on ECG analysis, Artificial intelligence and Evolutionary Algorithms in Engineering systems, Advances in Intelligent system and computing, Springer India, vol 325, 2015, pp 331-342, doi: 10.1007/978-81-322-2135-7_36
IEEE Conference Publications:
- Subasini R, Snekhalatha (2025). “Automated Detection of Ischemic Stroke-Related Brain Atrophy Using Deep Learning-Based Tissue Segmentation,” 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2025, pp. 402-407, doi: 10.1109/ICCSP64183.2025.11088424.
- Swathi G, Jothiraj S, Snekhalatha (2025). “Deep Learning Based Antral Gastritis Detection Using Endoscopic Images,” 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2025, pp. 408-413, doi: 10.1109/ICCSP64183.2025.11089354.
- Asfaq Ahmed A, Kassan E, Nishok Varshan, Raja Sankari VM, Snekhalatha U(2025). Diabetic Retinopathy Detection, Segmentation and Classification Using YOLO v8, MultiResUNet and ResNet 18,” 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2025, pp. 420-425, doi: 10.1109/ICCSP64183.2025.11089191.
- Bibek Ram, Abhishek kumar Jha, Suraj Prasad Sha, Snekhalatha (2025). Multimodal Emotion Recognition via Correlation of EEG, Thermal, and Digital Image Data,” 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2025, pp. 508-513, doi: 10.1109/ICCSP64183.2025.11088814.
- Simran Chauhan, Tavya Sharma, Hershey Rathore, Jothiraj S, Snekhalatha (2025). “Semantic Segmentation of Ultra Widefield Images Displaying Regmatogenous Retinal Detachment and Comparative Analysis of Hybrid Deep Learning Techniques,” 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2025, pp. 397-401, doi: 10.1109/ICCSP64183.2025.11089456.
- Swathi G, U.Snekhalatha (2025). Antral Gastritis Segmentation based on Deep learning models in Endoscopic Images,” 2025 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), Chennai, India, 2025, pp. 1-6, doi: 10.1109/RAEEUCCI63961.2025.11048344.
- Harin, Dinesh, Kaviyarasan, U.Snekhalatha (2024). Automated Segmentation of Renal cell Carcinoma in CT images using deep learning techniques. Accepted in IEEE International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC-2024). Sep 20th-21st, Sri Krishna Institute of Technology, Bangalore.
- Jothiraj, U. Snekhalatha (2024). Evaluating the Generalizability of CRPU-Net for Polyp Segmentation: Performance on the Piccolo and Real-Time Dataset. Accepted in IEEE International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC-2024). Sep 20th-21st. Sri Krishna Institute of Technology, Bangalore
- Gloria, S. Jothiraj, U.Snekhalatha (2024). Bone Fracture Identification in Upper Limbs of Children Using Deep Learning. Accepted in IEEE International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC-2024). Sep 20th-21st. Sri Krishna Institute of Technology, Bangalore.
- Nirush RP, Vishnu Kanna U, U.Snekhalatha. Deep learning-based Style Transfer of multimodal medical images for Enhanced Surgical planning. Accepted in IEEE International Conference on Intelligent Systems and Advance Applications (ICISAA – 2024) 25th -26th October 2024 conducted by Dr.D.Y. Patil Institute of Technology, Pune.
- Jothiraj, U. Snekhalatha (2024). Artificial Intelligence Based System and Method for Data Augmentation in Biomedical Computer Vision Tasks. Accepted in IEEE International Conference on Intelligent Systems and Advance Applications (ICISAA – 2024) 25th -26th October 2024. conducted by Dr.D.Y. Patil Institute of Technology, Pune.
- Rajasankari VM, Snekhalatha U (2024). “Computer Aided Diagnostics in Prediction of Plus and Pre-Plus Diseases of ROP in Neonatal Fundus Images,” 2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), Chennai, India, 2024, pp. 1-5, doi: 10.1109/RAEEUCCI61380.2024.10547740. online 13th June 2024.
- Swathi, S. Jothiraj, V. M. Rajasankari and U. Snekhalatha (2024), “MRI Image Segmentation for Schizophrenia Diagnosis Using a Modified U-Net Architecture,” 2024 10th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2024, pp. 1527-1531, doi: 10.1109/ICCSP60870.2024.10543970. online 7th June 2024.
- N. Varshan, A. A. Ahamed, E. Kassan, V. M. Raja Sankari and U. Snekhalatha (2024), “MultiResUNet for Precise Segmentation of OpticDisc and Blood Vessels in Diabetic Retinopathy,” 2024 10th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2024, pp. 30-36, doi: 10.1109/ICCSP60870.2024.10543496. online 7th June 2024.
- Ahalya RK, Snekhalatha U (2023). Integrated Xception- Random Forest Model for the Detection of Rheumatoid Arthritis in Hand Thermograms. 2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT), IEEE Computer Society (CPS) press, Technocrats Institute of Technology at, Bhopal. Apr 08-09, 2023. Online 31st May 2023
- Satyamoorthi B, Snekhalatha, T.Rajalakshmi (2022), “Automated Robotic arm based on Bluetooth regulated for progressed surgical task. 2022 International Conference on Industry 4.0 Technology (I4Tech) to be held on 22-24 September, 2022 at Department of Instrumentation Engineering, Vishwakarma Institute of Technology Pune. IEEE Explore Nov 2022. 2022 International Conference on Industry 4.0 Technology (I4Tech), 2022, pp. 1-4, doi:10.1109/I4Tech55392.2022.9952598.
- U. Snekhalatha, B. Guhan, S. Sowmiya and T. Rajalakshmi (2020), “Analysis of Heel Fissure Therapy using Thermal Imaging and Image Processing,”2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp. 0326-0331, doi: 10.1109/ICCSP48568.2020.9182447.
- P. Vijay Sai, T. Rajalakshmi and U. Snekhalatha (2020), “Estimation of Glottal Function based on Electroglottography for Normal and Thyroid Subjects – Hardware Design,”2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp. 0342-0347, doi: 10.1109/ICCSP48568.2020.9182307.
- Santhoshini Arulvallal, U.Snekhalatha, T.Rajalakshmi (2019), Design and development of wearable device for continuous monitoring of sleep apnea disorder. 2019 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2019, pp. 0050-0053.doi: 10.1109/ICCSP.2019.8697961
- Priyanka S, T.Rajalakshmi, U.Snekhalatha (2019), Wearable cardiorespiratory monitoring device for heart attack prediction. 2019 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2019, pp. 0054-0057.doi: 10.1109/ICCSP.2019.8697961
- Subitcha Jayasankar, Vijitha Periyasamy, Snekhalatha U, and Manojit Pramanik (2018) “Raman Monte Carlo simulation of tooth model with embedded sphere for different launch beam configurations” 2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII), Chennai, India, 2018, pp. 206-212.
- Mugdha manerkar, U.Snekhalatha, Shashwata Harsh, Juhi Saxena, Simanta P.Sarma, M.Anburajan Automated skin disease segmentation and classification using multi class SVM classifier EEECOS 2016 pp 363-368 IET digital Library DOI: 10.1049/cp.2016.1528
- Muhammed Javad, D.Ashok Kumar,U.Snekhalatha (2017) “Estimation of low bone mass using forearm and calcaneum bone mineral density in young Indian population”. IEEE conference RVS Technical college, Coimbatore IEEE explore pp 33-36.
- Mugdha Manerkar, Shashwata Harsh, Juhi Saxena, Simanta P.Sarma, U.Snekhalatha (2016), Classification of skin disease using multi SVM classifier IEEE conference EEECOS 2016 pp 363-368
- Suma, U.Snekhalatha, T.Rajalakshmi (2016) “Automated thermal image segmentation of knee rheumatoid arthritis”, Proceedings of International conference on communication and signal processing (ICCSP’16). Adhiparasakhti Engineering college, Melmaruvathur, Tamilnadu, 6th -8th April 2016, pp 535-539, ISBN: 978-1-5090-0396-9/16
- Gopikrishnan, T.Rajalakshmi, U.Snekhalatha (2016), “Diagnosis of rheumatoid arthritis in the knee using fuzzy c means segmentation technique”, Proceedings of International conference on communication and signal processing (ICCSP’16). Adhiparasakhti Engineering college, Melmaruvathur, Tamilnadu 6th -8th April 2016 pp430-433, ISBN: 978-1-5090-0396-9/16
- V.Gomathy, U.Snekhalatha (2015), “Automated segmentation using PCA and Area estimation of Thyroid gland using ultrasound images” 2nd IEEE International Conference on Innovations in information, Embedded and Communication Systems (ICIIECS15), Karpagam College of Engineering Coimbatore, Tamil Nadu 19 – 20th March, 2015, pp 1-4, ISBN: 978-1-4799-6818-3/15.
- Snekhalatha.U, Anburajan.M.(2012) Dual-tree wavelet transform based watershed algorithm for image segmentation in hand radiographs of arthritis patients and classification using BPN neural network. World Congress in Information and Communication Technologies (WICT 2012; Indian Institute of Information Technology and Management IITM, Trivandrum Kerala. Oct 2012, ISBN: 978-1-4673-4804-1@2012, pp: 448-452.
- Snekhalatha.U,Anburajan .M, Therace Teena, Venkatraman.B, Menaka M, Baldev Raj (2012), “Thermal Image Analysis and segmentation of hand in Evaluation of Rheumatoid Arthritis”. Proceedings of 2011 IEEE International conference on computer communications and informatics (ICCCI 2012), Shri Sakthi Institute of Technology, Coimbatore, Jan 2012, ISBN: 978-1-4577-1583-9/12.
- Snekhalatha.U, Kavibharathi.S, Anburajan .M, M.Menaga, Baldev Raj (2011), “Fuzzy Adaptive snake Algorithm in the segmentation of hand radiographs in rheumatoid arthritis”. Proceedings of 2011 IEEE International Conference on Computational Intelligence and computing research (ICCIC 2011), Cape Institute of Technology, Kanyakumari, Dec 2011, ISBN:978-1-61284-693-4 pp:289-292.
- Snekhalatha.U, Anburajan.M, B.Venkatraman, M.Menaga, Baldev Raj (2011) “Evaluation of Rheumatoid arthritis in the small Animal model using Thermal imaging. Proceedings of 2011 IEEE International Conference on Signal Processing, Communication, Computing and Network Technologies (ICSCCN2011), Noorul Islam University, Nagerkoil, July 21-22,2011 ISBN: 978-1-61284-653-8 pp: 315-320
- Snekhalatha.U, Anburajan.M, B.Venkatraman, M.Menaga, Baldev Raj (2011) “Study of Rheumatoid arthritis using Thermography in the small Animal model. Proceedings of International Conference on Advances in Engineering and Technology, (ICAET-2011), E .G.S Pillay Engineering College Nagapattinam, May 27-28, 2011ISBN: 978-1-4507-6433-9
Working Papers:
- Deep learning techniques to segment Rhegmatogenous retinal detachment (RRD) using ultrawide field fundus images.
- Early diagnosis of retinitis pigmentosa using machine learning and deep learning.
- Facial Emotion detection in thermal images in correlation with EEG Signals
Patents:
Granted:
- Kavya, U.Snekhalatha, An Apparatus for detecting Autism spectral disorder and a method thereof Patent application no: 202241006981 Filed 9th Feb 2021 Published 25th Jan 2022. Granted no: 553327, dated 28th October 2024.
- Vijay Sai, Rajalakshmi T, U.Snekhalatha, A Device For Non-Invasive Screening of Thyroid Disorders Patent application no: 202041040315 filed on 17th Sep 2020 Published 4th dec 2020. Granted no: 548053, dated 19th August 2024.
- Rajashankari, U.Snekhalatha, Rajalakshmi T. An Audiometer submitted for Patent application no: 202041037849, Filed on 2nd September 2020, published on 11th September 2020,Granted no: 447421, dated 25th August 2023
- Richa Rashmi, U.Snekhalatha , A Portable Instrument for determining fat and water in Mass, patent application no: 201941013152, Filed on 1st April 2019, Published on 21st August 2020. Granted no: 410081, dated 27th Oct 2022.
- Ramji Kalidoss, U. Snekhalatha, “An Instrument for Determination of Acetone in Exhaled Air” patent application no: 201841047738 Filed on 17th Dec 2018, Published on 18th Oct 2019. Granted no: 461070, dated 20th Oct 2023.
Published:
- Ahalya RK, U.Snekhalatha, VM Rajasankari A System and Method for Prediction of Rheumatoid Arthritis in Hand Thermal Images, 202341009480 filed on 13th Feb 2023, Published on 17th Feb 2023. FER report Submitted.
- V.M Rajasankari, U.Snekhalatha, Ahalya RK A System and A Method For Predicting Retinopathy of Prematurity, Patent application no: 202341008807 filed on 10th Feb 2023, Published on 24th Feb 2023.FER report Submitted.
- Jothiraj Selvaraj, U.Snekhalatha. A System and a Method for Data Augmentation using Artificial Intelligence. Patent application no: 202441052831 filed on 10th July 2024, Published on 19th July2024.
awards & Achievements
- Received Certificate of Appreciation for the recognition of the Indian patent granted in the year 2024-25 on the occasion of World IP day 17th April 2025.
- Received Certificate of Appreciation for the recognition of the Indian patent granted in the year 2023-24 titled Audiometer, portable Breath Alyzer on the occasion of World IP day 7th May 2024.
- Received Best Researcher Award under the age category 40-50 years from IEEE Madras section for the year 2024, presented in the Annual Meet 2024 on 23rd Feb 2024.
- Received Best Publication Award from IEEE Madras section for the year 2024, presented in the Annual Meet 2024 on 23rd Feb 2024.
- Obtained Best Patent Award from IEEE Madras section for the year 2024, presented in the Annual Meet 2024 on 23rd Feb 2024.
- Received Certificate of Appreciation for the recognition of the Indian patent granted in the year 2022-23 titled A portable instrument for determining fat and water in a mass on the occasion of Product Expo 23 – First Edition 25th April 2023.
- Obtained Gold star performer award in the Department of Biomedical Engineering, SRMIST, Jan 2023.
- Obtained certificate of appreciation for the publications during the academic year 2021-22
- Obtained best paper award for the paper entitled “Detection of Facial Emotion using Deep Learning Techniques in the 2nd International conference on Research in Electronic Engineering and communication techniques” held on 2nd and 3rd May 2022.
- Obtained best paper award for the paper entitled “Deep learning models for the estimation of Rheumatoid arthritis in hand radiograph” in the International conference on Biomedical Engineering and computing Technologies” held on 23rd to 25th March 2022.
- Awarded as Top 20 Expert Faculties in the field of Bio-Medical Engineering by Academic council of Ulektz for the year 2020.
- Obtained best researcher award for publications in Nature indexed journal during Research day function held on 1st march 2021.
- Obtained Gandhian Young Technological Innovation Award paper title “Design of Acetone Breath Gas Analyzer in the Evaluation of Diabetes Mellitus” Appreciation 2020, Society for Research and Initiatives for Sustainable Technologies and Institutions on 5th November 2020.
- Obtained a cash award for research publications in reputed journal, Feb 2020, SRMIST
- Won best paper award for the title, “Thermal imaging method in the evaluation of obesity in various body regions – A preliminary study”, in ICAME conference conducted by Mechanical Engineering Department, SRMIST Feb 2020
- Won best paper award for the title, “Smart Helmet Arduino Kindled Optimization”, in ICAME conference conducted by Mechanical Engineering Department, SRMIST Feb 2020
- Won best paper award for the title, “A hand held device to monitor physiological changes in Sweat”, in ICAME conference conducted by Mechanical Engineering Department, SRMIST Feb 2020
- Obtained Gold medal for the best paper presentation of the title “Development of portable gas analyzer for the detection of acetone in diabetes diagnosis in Research day held on 28th Feb 2019.
- Obtained Dr.A.P.J Abdul Kalam young scientist award by Marina Labs, Chennai, October 2018.
- Obtained a cash award for research publications in reputed journal July 2017, SRM Institute of Science and Technology (formerly known as SRM University)
- Won the best paper award in the International conference ICRTCIT 2017, conducted by the Department of CSE, SRM Institute of Science and Technology (formerly known as SRM University), March 2017.
- Obtained a cash award for research publications in a reputed journal in Teachers day Function 2013, SRM Institute of Science and Technology (formerly known as SRM University).
- Obtained a cash award for research publications in a reputed journal in Teachers day Function 2011, SRM Institute of Science and Technology (formerly known as SRM University).
- Received a cash award for 100% results in the subject handled 2007-Medical imaging systems, Neural Engineering in Teachers day celebrations 2008, SRM Institute of Science and Technology (formerly known as SRM University)
Workshops / Seminars / Conferences
- Dr.U.Snekhalatha has obtained a certificate of appreciation for successfully completed the course Generative AI for academia on 13th to 15th March 2025.
- U.Snekhalatha has actively participated in UHV-II workshop held on 1st to 5th October 2024 at SRM Institute of science and Technology, Kattankulathur, Tamil Nadu.
- U. Snekhalatha has actively participated in Leadership Enhancement for Accelerated workshop (LEAP) held on 26th March 2024 at SRM Institute of science and Technology, Kattankulathur, Tamil Nadu.
- Attended 15 days FIIP program in Perfint Health care Pvt Ltd from 19th June 2022 to 7th July 2023
- Participated in Product Expo 23 – First Edition 25th April 2023 and attended the Pitching session, an Interaction with the Industry Experts, organized by CIAP, SRMIST, Kattankulathur
- Participated in 6 days FDP titled Biomechanics on 13-3-2023 to 18-3-2023 organized by Department of Biomedical Engineering in association with Department of Mechanical Engineering, SRM Institute of science and Technology, Kattankulathur
- Attended the Hands-on Training Program on “e-content Development on Teaching and Learning Platforms” conducted on 16th February 2023, Organized by the Department of Networking and Communications, SRM Institute of Science and Technology, Kattankulathur – 603203
- Participated in six day online FDP on “Hands-on Deep Learning Architectures For Data Classification Using Python” during 26-09-2022 to 01-10-2022 organized by DHANEKULA INSTITUTE OF ENGINEERING & TECHNOLOGY, Ganguru, Vijayawada in association with AIQUANTUM Smart Solutions Pvt. Ltd, STEP, NITK Surathkal.
- Participated in oneweek AICTE Sponsored online FDP on “IOT based smart automation systems in association with GSAS microsystems, Bengaluru organized by MVGR Engineering college, Vizianagaram during 22nd -27th August 2022.
- Completed Journal citation reports certification series conducted by Clarivate on 10th August 2022
- Participated in 5 days FDP titled Quantum computing on 17-3-2022 to 22-3-2022 organized by Department of Biomedical Engineering, SRM Institute of science and Technology, Kattankulathur
- Participated in six days FDP titled Smart Materials on Medical Technology on 17-1-2022 to 22-1-2022 organized by Department of Biomedical Engineering, SRM Institute of science and Technology, Kattankulathur.
- Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online Elementary FDP on ” Exploring Machine Learning and Deep Learning Algorithms for Natural Language Processing (NLP) Applications” from 22/11/2021 to 26/11/2021 at VNR Vignana Jyothi Institute of science and Technology.
- Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “Artificial Intelligence Applications in Medical Diagnosis” from 04/10/2021 to 08/10/2021 at B.S Abdur Rahman Crescent Institute of Science and Technology.
- Participated in AICTE Training and Learning (ATAL) Online Elementary FDP on “Machine Learning in Medical Image Processing” from 05/09/2021 to 09/09/2021 at Katihar Engineering College, Katihar.
- Participated in online webinar titled “Mastering the Craft of academic writing: a systemic approach conducted by Research Marketing APAC, Wiley on 31st August 2021.
- Participated in Faculty Development Programme titled “Master class on Data analytics” 30 days at Pantech Prolabs India Pvt Ltd, from 12th July 2021 to 20th August 2021.
- Participated in AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “An insight to Biomedical Instrumentation, Biomedical Signal and Image Processing with hands on experience and LabVIEW Programming” from 2021-8-2 to 2021-8-6 at Poojya Doddappa Appa College of Engineering, Kalaburagi.
- Participated in Faculty Development Programme titled “Deep learning Master class” 5 days at Pantech Prolabs India Pvt Ltd, from 7th June 2021 to 11th June2021
- Participated in Faculty Development Programme titled “Master class on Machine learning” 5 days at Pantech Prolabs India Pvt Ltd, from 31st May 2021 to June 2021.
- Participated in webinar titled “Machine learning in health care applications, conducted by SRMIST in association with Binghamton University 7th May 2021.
- Attended webinar titled “Recent research and developments in deep learning architectures, Department of Electronics and communication Engineering in association with IEI Kattankulatur local center on 15th and 16th April 2021.
- Attended webinar titled “An Introduction to Engineering Applications of Artificial Intelligence (EAAI) and the IFAC Family of Journals: a Webinar for Authors and Editors of the Future Conducted by Research academy Elsevier,18th May 2021.
- Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on Artificial Intelligence, machine Learning and Deep Learning” from 2021-2-1 to 2021-2-5 at University Visvesvaraya College of Engineering.
- Participated in online FDP on data science and analytics organized by department of Computer science Engineering from 4th -8th Jan 2021.
- Attended The GuruCool Program (6 Days Training on Emerging Technologies followed by a Project Build-a-Thon) Conducted by IBM India University Relations Sep-Oct 2020
- Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on “Artificial intelligence ” from 2020-11-23 to 2020-11-27 at IIITM, Gwalior
- Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on “Computer Science & Biology” from 2020-11-2 to 2020-11-6 at S. R. M Institute of Science and Technology.
- Participated in webinar tilted Workshop on Ambient Intelligence organized by Department of Software Engineering at SRMIST, Chennai, 28th -29th October 2020.
- Participated in webinar titled ‘Abstracting and Indexing-how to get indexed and how to increase research factor organized by Springer Nature September 9th 2020.
- Participated in webinar titled ‘Publications ethics in Biomedicine and life science Research organized by Springer Nature September 16th 2020.
- Participated in webinar on Tools and Resources for virtual lab practice organized by Department of ECE at SRMIST, Chennai, 6th -8th August2020.
- Participated in the online Faculty Development Program “Practical cyber security from Scratch” Organized by the Department of Computer Science Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, 13th to 17th July 2020,.
- Participated in Webinar on Virtual labs: Effective tools in Teaching and Learning Organized in association with AICTE and Virtual Lab Centre for System design, NITK, Suratkal, 10th July 2020.
- Participated webinar on Medical oxygen concentrator (Application and hardware) organized by Department of Electronics and Telecommunication Engineering and Department of Instrumentation Engineering, AISSMS Institute of Information Technology, Pune in Association with TOP Biomed on 27th June 2020.
- Participated three days Faculty development Program on “Get ready for AI with Matlab and Simulink”, organized by Department of ECE, Sri Sai Ram Engineering College, June 18th to 20thJune 2020 .
- Participated in the online Faculty Development Program “Machine Learning and Deep Learning” Organized by the Department of Electronic and Instrumentation Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, 27th to 31st May 2020,.
- Participated five days Faculty development Program on “IOT Applications”, organized by Department of Computer Science and Engineering, Vikas Group of Institutions, Andhra Pradesh, 1st June to 5th June 2020 .
- Participated in the Webinar on “Deep Learning for Multi-Type Medical Imaging”, , organized by Department of Electronics and Instrumentation Engineering, St. Joseph college of Engineering, Chennai on 8 th June 2020.
- Participated in International Webinar on “Applications of computational Fluid Dynamics in Bio Medical Engineering”, organized by SNS College of Technology, Coimbatore, Tamil Nadu, India on 14th may 2020.
- Participated in Technical webinar on “Biomedical Applications of Fiber Bragg Grating Sensors” Presented by Dr.Srijith K, IIITDM, Kancheepuram, organized by IE (I), Kattankulathur Local centre & Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India on 18th May 2020
- Participated in webinar on “Internet of Things”, organized by Department of Computer Science and Engineering, SRM Institute of Science & Technology, Kattankulathur, Chennai, Tamil Nadu, India 22nd may 2020.
- Participated in the online guest lecture titled “Kretchmann-based surface plasmon resonance biosensors” delivered by Dr.Susthitha Menon, Assistant Professor, National University of Malaysia, on the occasion of International day of light (IDL) 2020 Celebrations, organized by SRM-OSA student chapter, Department of Electronics and communication Engineering in association with OSA&ISO, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu India 15th may 2020.
- Participated in the online guest lecture titled “Optical Technologies for Point-of-Care Testing and Diagnostics” delivered by Dr. Shanthi Prince, Professor, Dept. of ECE, SRM IST, on 15.05.2020, organised by SRM-OSA student chapter, Department of Electronics and communication Engineering in association with OSA&ISO, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu India15th may 2020 .
- Participated in the online guest lecture titled “A glimps of the lazer and its impact on mankind” delivered by Dr.Dhruba Jyoti Biswas, Retired Scientist, Former Head, Laser and Plasma Technology Division, BARC, Mumbai, organized by SRM-OSA student chapter, Department of Electronics and communication Engineering in association with OSA&ISO, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu India16th May 2020.
- Participated in the online guest lecture titled “Pathways for career in optics and photonics delivered by Dr. Deepak Jain,OSA Ambassador 2020, Research Fellow, University of Sydney, Australia, , organized by SRM-OSA student chapter, Department of Electronics and communication Engineering in association with OSA&ISO, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu India 16th May 2020.
- Participated in the online guest lecture titled “Spatial Structured Optical Beams” delivered by Dr. Goutam K. Samanta, Assoc. Prof., PRL, organised by SRM-OSA student chapter, Department of Electronics and communication Engineering in association with OSA&ISO, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu India,16th May 2020.
- Participated in Faculty development Programme at HTIC, organized by IIT Madras, 24th-25th Jan 2019.
- Participated in Workshop on “Machine learning in intelligent speech and Image processing organized by Department of Electronics and Communication, SRMIST, 28th -29thxa0xa0 Sep 2018.
- Participated in DRUSE competition and presented title “Exoskeleton PALM” in second level screening competition south zone conducted by DRDO, Bangalore, and 28th-29th March 2018.
- Attended six days Short term training programme on Artificial Intelligence, Fuzzy logic and Deep learning Algorithms organized by Department of Mechatronics Engineering , conducted by SRMIST, 18th – -24th Jan 2018
- Participated in workshop on Speech signal and image processing organized by Department of Electronics and Communication, SRMIST, 21st – -22nd Sep 2017.
- Participated and presented a technical paper title: “Automated Speech signal analysis, feature extraction and classification : A performance comparison using different neural networks” in a International conference ICRTET 2017 conducted by St.Joseph Institute of Technology, Chennai 5th- 6th May 2017.
- Participated and presented a technical paper title: “Semi-automated approach in the evaluation of low bone mass using clavicle radiogrammetry technique” in an international conference ICRTCIT 2017 conducted by the department of CSE, SRMIST 27th -31st March 2017.
- Participated in International workshop on Intellectual property rights and innovation organized by Department of Electronics and Instrumentation, SRMIST, 6th Jan 2017.
- Given Invited talk title “Application of Image processing techniques in various imaging modalities” in UGC sponsored workshop on “Advancement in Biomedical signal and image processing” organized by Department of Electronics Engineering, MIT Anna University, 30th October 2015.
- Attended IEEE authorship workshop titled “How to publish article with IEEE? At IIT Madras, 20th August 2015.
- Attended UGC sponsored seminar on “WBAN- Sensing and signal processing challenges” organized by Department of ECE, Anna University, Chennai, 23rd -24th March 2015.
- Attended UGC Sponsored Short term course on Research Methodology, Techniques of Writing Research Articles and PhD Thesis Preparation” Organized by Department of Civil Engineering, AnnaUniversity, Chennai, 9th March 2013.
- Participated in Research day and presented a technical paper title “Quantitative analysis and thermal image segmentation of hand in evaluation of Rheumatoid arthritis” organized by SRMIST 1st March 2013.
- Attended Springer Author workshop “How to write article and get published in journals” conducted by Springer and Edanz editing services organized by Anna University, Chennai Jan 2013.
- Participated in Research day and presented a technical paper title “Diagnosis of Rheumatoid arthritis using Thermal imaging in small Animal model” organized by SRMIST Feb 2012.
- Attended Wipro Mission 10x Faculty development program and completed high impact teaching skills and Advanced workshop mission10x program organized by SRMIST July & Oct 2011.
- Attended Faculty development program on RAWIN’10 organized by Department of Telecommunication Engineering, SRMIST OCT 2010.
- Attended the Educators day Annual technical forum for faculty and research scholars organized by National instruments in Association with Nice committee Dec 2009.
- Participated in ICT for Medical Education and Research in 5th International Conference of Medical Computer society of India in Sri Ramachandra University Dec 2008.
- Participated in National workshop on “Application of MEMS in Instrumentation &Biomedical Engineering” AMIBE in SRM Engineering college march 2008.
- Participated in National conference on “Recent Advances in Bioengineering” in SRM Engineering college Feb 2008
- Attended Faculty development program on “Biomedical Instrumentation “at sri sairam Engineering college sponsored by Anna university, December 2007.
- Attended Workshop on Data Acquisition and Biomedical Instrumentation using NI Lab view in SRM Engineering College July 2007.
- Obtained 76% ELITE with SILVER for the completion of the course Health Research Fundamentals in online conducted by NPTEL NICBHER team during July-September 2019.
- Obtained 63% ELITE for completion of the course Principles of signals and systems in online conducted by NPTEL IIT Kanpur during Jan-April 2019.
- Obtained 82% ELITE for completion of the course Medical image processing in online conducted by NPTEL IIT Khargpur during July-October 2018.
- Obtained 71% ELITE for completion of the course Biomedical Signal processing in online conducted by NPTEL IIT Khargpur during Jan-April 2018
- Obtained a statement of accomplishment for completion of course in coursera title “Data management for clinical research” Vanderbilt University, Oct 27th -Dec 30th, 2014
- Obtained a statement of accomplishment for completion of course in coursera title “Statistical analysis for fMRI data” John Hopkins University September 10th 2014
- Obtained a statement of accomplishment for completion of course in coursera title “Crafting an Effective Writer: Tools of trade Mt. San Jacinto College, June 20th -August 11th, 2014.
- Obtained a statement of accomplishment for completion of course in coursera title, “Understanding the brain: The neurobiology of everyday life” University of Chicago, April 28th- August 5th, 2014.
- Obtained a statement of accomplishment for completion of course in coursera title “Preventing chronic pain: A human system approach” University of Minnesota, May 30th- August 14th, 2014.
- Obtained a statement of accomplishment for completion of course in coursera title “Introduction to global health” University of Copenhagen, July 30th, 2014.
- Obtained a statement of accomplishment for completion of course in coursera title “ Vital signs-understanding what the body is telling us conducted by University of Pennsylvania, May 19th- July 10th, 2014”
- Obtained a statement of accomplishment for completion of course in coursera title “Diabetes a global challenge” from the University of Copenhagen, May 28th, 2014
- Obtained a statement of accomplishment for completion of course in coursera title “Epidemiology: The Basic science of public health” from The University of North Carolina at Chapel Hill, April 7th, 2014.
- Obtained a statement of accomplishment with Distinction for completion of course in coursera title “The Image and video processing: From Mars to Holly wood with a stop at the hospital” from Duke University, March 27th, 2014.
- Obtained a certificate of completion for “how to write and submit a journal article” from Springer Academy Nov 2013.
- Obtained a certificate of completion for “Publishing a journal manuscript – the groundwork” from Springer Academy Nov 2013.
- Obtained a certificate of completion for “Peer review academy” from Springer Academy Nov 2013.
- Obtained a certificate of completion for “Book author academy” from Springer Academy Nov 2013.
- Obtained a certificate of completion for “open access background and benefits” from Springer Academy Nov 2013.
Projects:
- Project titled “Automated Audiometer to Assess Acoustic and Speech Recognition Threshold”, SIIC Funding IEDC Scheme, SRMIST, 2020 for 45500.
- Satu project: Knee osteoarthritis: elucidating the role of radiographic biomarkers as mechanistic predictor of pain severity and response to intra-articular hyaluronic acid therapy Funding submitted to MyGRANTS for Rs 44,55,985.
- Selected as one of the Co-Pi for the SATU project titled “Deep Learning Classification of Covid-19 Computed Tomography and Radiography Images” in collaboration with Dr. Khin Wee Lai University of Malaya, April 2021
- Co-Pi for the project entitled “Design and Development of Intelligent Obesity Assessment System for Children in Kuwait using Thermal Images and Artificial Intelligence (AI) Funding submitted to KFAS for Rs 45 Lakhs.
- Submitted proposal entitled Developing Quantum convolutional neural network techniques for Thermal image analysis for the detection of Rheumatoid arthritis” in SERB-POWER (SPG/2023/000455) Funding submitted for Rs 29.5Lakhs.
- Satu Project: Selected as one of the CO-PI for the project entitled “Explicating the relationship of patella position and quadriceps muscles strength, knee joint flexibility, and postural balance, as a cause of pain in patients with knee osteoarthritis.” in Collaboration with Dr. Zulkarnain, Jaafar, University of Malaya
Work Experience
Academic Experience:
- Working as a Professor and Head in the Department of Biomedical Engineering, School of Bioengineering, SRMIST from 1st October 2024 to till date.
- Working as a Professor in the Department of Biomedical Engineering, School of Bioengineering, SRMIST from 1st June 2022 to Sep 2024.
- Associate Professor, Biomedical Engineering Department, SRM University, Kattankulathur, Jan 2018- May 2022
- Assistant Professor (Sr.G), Biomedical Engineering Department, SRM Institute of Science and Technology (formerly known as SRM University), Kattankulathur, 2012-2017.
- Assistant Professor (O.G), Biomedical Engineering Department, SRM Institute of Science and Technology (formerly known as SRM University), Kattankulathur, 2009-2012.
- Lecturer, Biomedical Engineering Department, SRM Institute of Science and Technology (formerly known as SRM University), Kattankulathur,2007-2009
- Lecturer, Biomedical Engineering Department, Rajiv Gandhi College of Engineering, Sriperumbadur.2003-2006.
Other Professional Experience:
- Working as Guest Professor, Part time in in the Department of Biomedical Engineering, Batangas State University, Republic of Philippines since Oct 2022
- Participated as Department advisory board members at Biomedical Engineering college in Karpaga Vinayaga college of Engineering and Technology, Chengalpattu on 15th July 2025.
- Participated as the interview panel member for JRF recruitment process in St. Joseph college of Engineering, Anna University on 23rd -24th August 2021.
- Participated as the interview panel member for faculty recruitment process in Biomedical Engineering department in Shree Sastha Institute of Technology, Chemberambakkam on 5th May 2020.
- Participated as DC member in the Confirmation DC meeting in online mode on 14th June 2025 for the research scholar Mr.Loganathan, Sona Institute of Technology, Salem
- Participated as DC member in the DC meeting held on 18th March 2025 for the research scholar Ms. Dhivya Parameswari A, K.P.R Institute of Engineering and Technology Coimbatore, Anna University
- Participated as DC member in the DC meeting held on 14th Feb 2025 for the research scholar Ms.Sriroshini, Velalar Engineering college, Anna University
- Participated as DC member in the DC meeting held on 14th Feb 2025 for the research scholar Ms.K.Vishnulakshmi K, Velalar Engineering college, Anna University
- Participated as DC member in the DC meeting held on 9th Jan2025 for the research scholar Ms.Haritha, St. Joseph college of Engineering, Anna University.
- Participated as DC member in the DC meeting held on 13th December 2024 for the research scholar Ms.Aiswarya, St. Joseph college of Engineering, Anna University
- Participated as External examiner for Public Viva voce exam held on 16th October 2024 for the research scholar Mr.P.Venkatesh, St. Joseph college of Engineering, Anna University.
- Participated as DC member in the Synopsis meeting held on 28th August 2024 for the research scholar Ms.Bhuvana, Vels University, Pallavaram.
- Participated as DC member in the DC meeting held on 29th August 2024 for the research scholar Ms.Haritha, St. Joseph college of Engineering, Anna University.
- Participated as DC member in the DC meeting held on 21st June 2024 for the research scholar Mr.Sadeesh Kumar, St. Joseph college of Engineering, Anna University.
- Participated as DC member in the DC meeting held on 21st June 2024 for the research scholar Mr.N.Hariprasad, St. Joseph college of Engineering, Anna University.
- Participated as DC member in the DC meeting held on 12th January 2024 for the research scholar Dhivya Parameswari A, K.P.R Institute of Engineering and Technology Coimbatore
- Participated as DC member in the DC meeting held on 1st November 2023 for the research scholar Mr.Loganathan, Sona Institute of Technology, Salem
- Participated as DC member in the DC meeting held on 27th September 2023 for the research scholar Ms.Bhuvana, Vels University, Pallavaram
- Participated as DC member in the DC meeting held on 11th September 2023 for the research scholar Ms.Mythili, Sona Institute of Technology, Salem
- Participated as DC member in the DC meeting held on 7th August 2023 for the research scholar Ms.Kalaiselvi, Erode Senguthanar Engineering college , affiliated to Anna University
- Participated as DC member in the DC meeting held on 27th July 2023 for the research scholar Aiswarya, St. Joseph college of Engineering, Anna University.
- Participated as DC member for synopsis presentation of Mr.S.Sathish , Veltech Multitech, Avadi on 30.03.2023 at 01.00 PM, at Seminar Hall, Department of EEE, KPR Institute of Engineering and Technology Coimbatore
- Participated as DC member in the DC meeting held on 3rd March 2023 for the research scholar Ms.Bhuvana, Vels University, Pallavaram
- Participated as DC member in the DC meeting held on 16th August 2022 for the research scholar Ms.Bhuvana, Vels University, Pallavaram
- Participated as DC member in the First DC meeting held on 20th July 2022 for the research scholar Mr.V.loganathan, Sona Institute of Technology, Salem affiliated to Anna University.
- Participated as DC member in the First DC meeting held on 4th July 2022 for the research scholar Ms. Haritha NV, St. Joseph college of Engineering, Anna University
- Participated as DC member in the Confirmation meeting held on 16th May 2022 for the research scholar Ms. Abimala, St. Joseph college of Engineering, Anna University
- Participated as DC member in the Synopsis meeting held on 31st March 2022 for the research scholar Mr. Vinu Raj Kumar, Vel Tech Multi Tech Engineering College affiliated to Anna University
- Participated as DC member in the first doctoral committee meeting held on 4th Feb 2022 for the research scholar Ms.Bhuvana, Vels University, Pallavaram
- Participated as DC member in the first doctoral committee meeting held on 1st october 2021 for the research scholar Ms.Rama, St. Joseph college of Engineering, Anna University
- Participated as DC member in the Synopsis meeting held on 30th June 2020 for the research scholar Mr.Lokesh, Vel Tech Multi Tech Engineering College affiliated to Anna University
- Participated as DC member in the first doctoral committee meeting held on 3rd Feb 2020 for the research scholar Mr. Satish kumar, St. Joseph college of Engineering, Anna University.
- Participated as DC member in the first doctoral committee meeting held on 3rd Feb 2020 for the research scholar Mrs.Neelambary, St. Joseph college of Engineering, Anna University.
- Participated as DC member in the first doctoral committee meeting held on 27th Jan 2020 for the research scholar Ms. Abimala, St. Joseph college of Engineering, Anna University.
- Worked as a convener for organizing workshop titled “Deep learning applications in Medical imaging in the department of Biomedical Engineering, SRMIST, 26th-28th August 2020.
- Delivered guest lecture entitled “Artificial Intelligence in diagnosing medical disorders in Thermal imaging applications. organized by Department of Electronics and Instrumentation Engineering at Eswari Engineering college, Chennai,28th Jan 2022
- Delivered International guest lecture entitled “Thermal image analysis for Medical applications based on Machine learning and deep learning techniques” Online Academic Meeting of Brazilian Medical Thermology Association took place in April 4, 2022, University of São Paulo Brazil, South America.
- Given Invited talk title “Thermal imaging applications in Machine learning and deep learning Techniques” in online webinar on 27th July, organized by Department of Biomedical Engineering at Sethu Institute of Engineering and Technology, Kariapatti, Virudhunagar district July 2021
- Given Invited talk title “Application of image processing techniques in medical imaging” on 3rd December in National web conference on Recent advancements in Biomedical Engineering, organized by Department of Biomedical Engineering at Bharath University, Chennai, 3rd December 2020
- Given Invited talk title “Thermal imaging analysis using Machine learning and deep learning Techniques” on 3rd July in one day Workshop on Emerging machine learning techniques in Biosignal processing, organized by Department of ECE at SRMIST, Chennai, 3rd July 2020.
- Given Invited talk title “Thermal imaging Techniques for Medical applications-a CASE study approach” on 17th June , in three days Faculty development program on Medical Signal and Image analysis, organized by Department of ECE at St.Joseph college iof Engineering, Chennai, 15th -17th June 2020.
- Given Invited talk title “Advanced Medical image processing Techniques in Ultrasound and MRI” on 14TH June , in six day Faculty development program on Research perspective in Medical Image processing, organized by Department of Biomedical Engineering and ECE at Kalaignar Karunanidhi Institute of Technology, Coimbatore ,10th -15 th June 2020
- Given Invited talk title “Advanced Medical image processing Techniques in X-ray and Thermal Imaging”, on 11th June in six day Faculty development program on Research perspective in Medical Image processing, organized by Department of Biomedical Engineering and ECE at Kalaignar Karunanidhi Institute of Technology, Coimbatore ,10th -15 th June 2020.
- Worked as a convener for organizing workshop titled “Recent trends in Medical Image processing and analysis in the department of Biomedical Engineering, SRMIST, 22nd -23rd August 2019.
- Worked as a convener for National Conference on Recent trends in Biomedical Engineering NCRTBME’17 in the department of Biomedical Engineering, SRM Institute of Science and Technology (formerly known as SRM University), August 2017
- Doctoral committee member, Anna University, Chennai, Tamil Nadu, India
- Given Invited talk titled “Application of Image processing techniques in various imaging modalities” in UGC sponsored a workshop on “Advancement in Biomedical signal and image processing” organized by Department of Electronics Engineering, MIT Anna University, 30th October 2015.
- Organizing secretary for BIOYANTRA’14 National level fest on clinical Engineering organized in the Department of Biomedical Engineering, SRM Institute of Science and Technology (formerly known as SRM University) on 9th -11th October 2014.
- Coordinator for conducting a workshop on Hybrid systems organized in the Department of Biomedical Engineering in association with Fystra, SRM Institute of Science and Technology (formerly known as SRM University) on 16th September 2014.
- Worked as a coordinator for the Faculty refresher course title “Application of Neural Networks in Medical image processing” organized in the Department of Biomedical Engineering, SRM Institute of Science and Technology (formerly known as SRM University) on 11th September 2014.
- Coordinator for Faculty development programme on “Radiological Equipment” organized in the Department of Biomedical Engineering, SRM Institute of Science and Technology (formerly known as SRM University) on 1st -2nd August 2014.
memberships
- Indian Society for Technical Education ISTE-Life member- LM 68891
- Indian Science Congress Association ISCA-Annual member- A4949.
- Biomedical society of India, Manipal University-Life member– LM-1129
- Institution of Engineers, India-Life member -M-157563-5
- IEANG – Life member-217596
- IRED- Life member- SNM10100059483
- Lifetime member in Society for Biomaterials and Artificial organs-LM-968
- Annual member in The Institute For Educational Research and Publication (IFERP)IFERP PROF-14246098
- Reviewer -Journal of Advances in medical research- GSTF –Springer
- Reviewer- Journal of Medical Imaging-SPIE
- Reviewer- Journal of Intelligent systems- De gruyter
- Reviewer-Rheumatology International-Springer
- Reviewer- Journal of International Medical Research-Sage publications
- Reviewer- SM Journal of musculoskeletal disorders
- Reviewer-Journal of Electronic imaging -SPIE
- Reviewer-Medical and Biological Engineering and computing Journal-Springer
- Reviewer-IEEE Access
- Reviewer-International Journal of Imaging systems – Since2020
- Reviewer- Journal of Electronic materials-Springer Nature.
- Reviewer-Reports on Medical Imaging 2020
- Reviewer-Computers in Medicine and biology-2020
- Reviewer- Informatics in Medicine Unlocked-2020
- Reviewer- Journal of King Saud University – Computer and Information Sciences Since 2020
- Reviewer-Journal of Rheumatology -2021
- Guest editor- Journal of International Medical Research-Sage publications-2020-2021
- Guest editor- Diagnostics- MDPI- 2022-2023
- Reviewer- Biomedical Signal Processing and Control- since 2023
- Reviewer- Network: Computation in Neural Systems- Since 2023
- Reviewer- ACS Omega-Since 2022
- Reviewer-International Journal of Image and Data fusion-Since 2023
- Reviewer- Plos One-Since 2021
- Reviewer- Biomedical Engineering Application Basis and Communication-Since 2023
- Reviewer- Plos One-Since 2021
- Guest editor- Journal of International Medical Research-Sage publications-2020-2021
- Associate Editor, IET Image Processing since Nov 2023.
- Editorial Board member, Scientific reports, Since Jan 2024.
- Guest Editor- Scientific reports, Since March 2024.
Responsibilities Held
- Head of the Department September 2024- Till date
- NAAC Coordinator Criterion 3_University level Jan 2022- Sep2023
- Curriculum coordinator, Jan 2008- till date.
- Internal Audit-In charge, July 2022- till date
- Department Exam cell in charge, July 2019-Dec2024
- Department Monthly Research incentive committee Member, July 2021- Till date
- Placement coordinator, July 2008 to till May 2014, 2020-2021
- Project coordinator for M.Tech students-Jan-May 2015 July 2012-May 2013, Jan-May 2017, B.Tech -Jan-May 2014, M.Tech July- May 2023 Batch
- Academia coordinator, July 2015-May 2017
- Time table coordinator, July 2007-Dec 2009, July 2015-May 2017
- Department lab maintenance in-charge July 2017- till date
- Department Library in charge, Dec 2011-May2013, July 2017-May 2018
- Weekly/Annual report preparation-in-charge, July 2017- June 2019
- Industrial visit coordinator and guest lecture arrangement coordinator, July 2014- May 2015
- Faculty advisor B.Tech 2007-2011 batch, M.Tech -2015-2017 batch, B.Tech-July 2017-2021 Batch M.Tech 2021-2023 Batch
- Academic advisor B.tech-2019-2022 batch, M.Tech -2017 Batch, B.Tech 2022- 2026 Batch
- Additional Class in charge for M.Tech students, July 2012- may 2014.
- Laboratory development
- Biomedical instrumentation lab, medical imaging lab, 2007-2008.
- Bio signal processing lab for B.Tech students (for regulation 2007-11) and biomedical signal analysis lab (for regulation 2014) for M.Tech students.
- Worked as a Camp officer for BBA Evaluation, SRMIST, Nov 2018
- Worked as a Camp officer for B.Tech Arrear Evaluation, SRMIST, June 2018
- Worked as a Camp officer for B.Tech and M.Tech part time Evaluation, SRMIST, Dec 2017
- NAAC coordinator in Maintenance committee under central support team, June 2013- May 2014.
- Convocation and Admissions-Supporting Faculty
