Dr Sreelatha P

Staff Profile
Dr Sreelatha P
Professor
Dr Sreelatha P
Professor
Department of Biomedical Engineering
Portfolio: Associate Head Department, Head Medical Center, Head Equal Opportunities Cell, Associate Head CIIED, Head ARC
Areas of Interests: Embedded systems, Artificial Intelligence, medical data analysis

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About me
Multi-talented (Industrial and academics) and consistently successful in planning and operational improvements. Experience in policy development and staff management procedures, positively impacting overall morale, producing courageous and employable students. Skilled in Embedded Software, Strategic Planning, and Embedded Systems. Strong education professional with a Bachelor's degree in Electronics and Communication, Masters in Embedded systems and doctorate in Information and Communication.
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Professional Information

B SathiyaSivam, M G Sumithra, P Sreelatha, "Survey on video compression techniques for efficient transmission", Journal of Physics: Conference Series

Sreelatha. P, Mudassir Khan, D. Sugumar, Paritala Jhansi ,Rani, Manikandan Ganesan, Prashant Kumar, "Smart And Effective Environment Monitoring Using Internet of Things",  Bioscience Biotechnology Research Communication,  Vol. 14, No. 07, (2021)

Jothin, R., Vasanthanayaki, C., Sreelatha, P. et al. Comparison and extension of high performance adders for hybrid and error tolerant applications. J Ambient Intell Human Comput (2021).

Sreelatha. P, J. Faritha Banu, T. Ch. Anil Kumar, D. Sugumar, Shailendra Kumar Rawat, Ahmad Jawad Niazi, “Improved Clustering Using Deep Learning Model on Water Resource Engineering”, Biosc.Biotech.Res.Comm. Special Issue Vol 14 No 07 (2021)

P Sreelatha, P Bhuvaneswari, Ellappan Venugopal," Diabetic Retinopathy Detection: SolutionsThrough Application of Meta-HeuristicApproaches", Annals of the Romanian Society for Cell Biology, Vol 25, Issue2, pg.4353–4361.ISSN: 1583-6258

Dr. Sreelatha P Mr. Sridhar Udayakumar Dr. S. Karthick Smitha Chowdary Ch K. Ch. Sri Kavya Dr. Madiajagan M," Managing The Tomato Leaf Disease Detection Accuracy Using Computer Vision Based Deep Neural Network", Journal of Contemporary Issues in Business and Government, 2021, Volume 27, Issue 1, Pages 3425-3437

Shahina Parveen M., Sreelatha P., Ramamani Tripathy, Shamim Hassan, Subhashini Narayan, Sridhar Udayakumar,"Predict the severity level and early prediction of COVID-19 using CEDCNN classifier for big data", International Journal of Grid and Distributed Computing, Vol. 14 No. 1 (2021)

Sreelatha P, S.Karthika, G.N.Naveen Kumar, Kusmakumari, SakthiSudhan Karuppanan, "Analysis of breast cancer visuals implemented by beam former & composites on fabric antenna test beds

S.SankarGanesh, P.Sreelatha, et al., "Textile antennas for breast carcinoma diagnosis application"

Sreelatha P, Jothin.R, Bharath V, Rajeshwari R, "Detecting abnormality in medical images with thermal and RGB images",Advances in Computing, Communication, Automation and Biomedical Technology, IJAICT India Publications, Pages 373-379

Jothin, R., Sreelatha, P., Ahilan, A. et al. High-Performance Carry Select Adders. Circuits Syst Signal Process (2021).

Image Texture Based Hybrid Diagnostic Tool for Kidney disease classification, Journal of Medical Imaging and Health Informatics ISSN 2156-7018 , Vol. 8, pp. 1899–1908 Dec 2018

Optimized algorithm for Detection and Quantification of image boundary in medical imaging, International Journal of applied Engineering Research ISSN 0973-9769, Vol 10 Issue 10, 2015

A non-invasive identification of malignant thyroid nodules with ultrasound Images using textural features classification, International Journal of Pure and Applied Mathematics ISSN 1314-3395, Vol. 117 Issue 8 2017

Application of Digital Image Processing in Healthcare Analysis based on Hand Image, International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) ISSN: 2278-907X, Vol. 7, Issue 2, 2018

IOT enabled robotic arm International Journal of Research in Electronics ISSN: 2348-9065, Vol. 05, Issue 01, 2018

Improved Adaptive Wavelet Thresholding for Effective Speckle Noise Reduction in Low Contrast Medical Images Journal of Circuits, Systems and Computers ISSN 0218-1266 , Vol. 28, Issue 10, Sep 2019

B.E, M.E, Ph.D

OBJECT IDENTIFICATION SYSTEM FOR BLIND PEOPLE

The Computer Aided Diagnosis (CAD) System for the Detection of Alzheimer Disease Using MRI Real Images

System And Method For Reducing The Antenna Radiation In Portable Electronic Devices

2. Secure Method For Protecting The Sensitive Information Of The Mobile Users

Design Of 5D Autonomous Arm Robot For Industrial Applications

BMESI

ISTE

https://scholar.google.co.in/citations?hl=en&user=Ah4dyecAAAAJ

orcid.org/0000-0002-3787-046X