Dr. R. Hemalatha
B.E., M.E., Ph.D.,
Associate Professor
Department of Electronics and Communication Engineering
Extn : 398
Dr. R. Hemalatha, Associate Professor in the department of ECE, has 16 years of teaching experience. She received her B.E. degree in Electronics and Communication Engineering from Periyar University and M.E. degree in Communication Systems from Anna University (with College Gold medal). She obtained her Ph.D. degree from Anna University for her research work on Image transmission in WMSN. Before joining SSN, she worked at Rajalakshmi Engineering College, Chennai and AKCE, Srivilliputhur.
She has received funded projects from SPARC, DST SSTP and SSN trust. She has guided over 35 UG and PG projects and 14 Student Internal Funded Projects sanctioned by SSN Trust. Her research interests include Wireless Multimedia Sensor Networks, Image Processing, IoT, and Edge AI. To her credit, she has one granted Indian patent, 18 research articles in referred journals, 30 conference papers, a book, and a few book chapters. She is a member of IEEE, and Life member of ISTE.
- Hemalatha. R, Radha. S, Raghuvarman. N, Soumya. B, Vivekanandan. B “Energy Efficient Image Transmission over Bandwidth Scarce WSN using Compressed Sensing” in the proceedings of the International Conference on IT and Intelligent Systems (ICITIS'2013), August 2013 at Penang, Malaysia.
- Pavithra V, S Nivedhan, R Sai Ranjani and R Hemalatha, "Deep Learning based Intelligent Surveillance in Shopping Malls and Retail Store" at the 2024 First International Conference for WOMEN IN ENGINEERING (IEEE INCOWOCO 2024) held at Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, Maharashtra, India during 14 -15, November 2024.
| S.No | Title of the Invention | Grant No. | Date of Grant | Granting Agency |
|---|---|---|---|---|
| 1 | A System, Device and Method for Plant Disease Detection and Alert | 430222 | 27-04-2023 | IPR India |
| S.No | Title of the Invention | Grant No. | Date of Grant | Granting Agency |
|---|---|---|---|---|
| 1 | An Automated System and Method for Water Quality and Filter Condition Monitoring in Household RO Purifiers | 202541018223 | 14-03-2025 | IPR India |
| S.No | Title of the Project | Funding Agency | Year | Amount (Rs. Lakhs) | Status |
|---|---|---|---|---|---|
| External Funded Projects | |||||
| 1 | Efficient water management in agricultural fields using mule-based sensor networks | SPARC | 2023-2025 | 63.10 | Ongoing |
| 2 | Development of an Efficient IOT Enabled Plant Disease and Pest Detection System | DST SSTP | 2018-2019 | 63 | Ongoing |
| Internal Funded Projects | |||||
| 1 | Development of Embedded Tiny Vision Mule for Smart Agriculture | SSN Trust | 2023 | 2.25 | Ongoing |
| 2 | A Tiny ML based Solution for Smart Agriculture | SSN Trust | 2023 | 0.23 | Ongoing |
| 3 | An effective water quality monitoring of RO purifiers | SSN Trust | 2023 | 0.15 | Ongoing |
| 4 | Analysing the effect of wireless communication networks in WSN formulation | SSN Trust | 2021 | 0.16 | Completed |
| 5 | Defect detection in nominal cement concrete structures using enhanced U-Net | SSN Trust | 2021 | 0.15 | Completed |
| 6 | IoT based patient monitoring system using ECG sensor | SSN Trust | 2020 | 0.16 | Completed |
| 7 | Prototype development of an automated vehicle | SSN Trust | 2020 | 0.25 | Completed |
| 8 | Development of an Automatic Fabric Defect Detection System | SSN Trust | 2019 | 2.5 | Completed |
| 9 | Prototype Development of an automatic fabric defect detection system | SSN Trust | 2019 | 0.24 | Completed |
| 10 | Development of an Automatic Fabric Defect Detection System | SSN Trust | 2019 | 2.5 | Completed |
| 11 | IoT Enabled Efficient Detection and Classification of Plant Diseases for Agricultural Applications | SSN Trust | 2018 | 0.09 | Completed |
| 12 | Detection and estimation of defects in concrete using infrared thermography | SSN Trust | 2017 | 0.25 | Completed |
| 13 | Smart parking system using IoT | SSN Trust | 2017 | 0.22 | Completed |
| 14 | Hydroponics control using IoT | SSN Trust | 2017 | 0.22 | Completed |
| 15 | Efficient Decision Support System for Agriculture using ARM Processor | SSN Trust | 2016 | 0.15 | Completed |
- She is an Anna University recognized PhD supervisor and is currently guiding 2 doctorate scholars
- Mentor of winning team in ‘Smart India Hackathon 2019’ under ‘Samsung R & D, Blr’ at Hubli.
- Mentored a student project under Grand Challenge Competition titled “SAMVEDAN2021 -“Sensing” Solutions for Bharat” and the team shortlisted to the semi-finals.
- Mentored “Team Resolution” who emerged as a Runner Up in the preliminary round of YESIST’12 2023 “SSN IEEE YESIST12 innovation contest” and participated in the final round, held at Egypt in hybrid mode.
- Mentored a team for “Build to Innovate” (Rural-Agri Ed.), Chennai Cluster Challenge, hosted by IITM Research Park on 24 April 2024. The team has been selected as a ‘Special Invitee’ for “Build to Innovate (Rural-Agri Ed.) Final Event”.
- Project titled “Efficient IoT enabled Plant Disease Detection System” was exhibited under the theme Agriculture & Food Processing at the IInvenTiv 2024, India’s premier R&D Innovation Fair, which took place on January 19-20, 2024, at IIT Hyderabad.
Publications
Book/Book chapters:
- Radha S., Aasha Nandhini S., Hemalatha R. (2017) Efficient Anomaly Detection System for Video Surveillance Application in WVSN with Particle Swarm Optimization. In: Abraham A., Falcon R., Koeppen M. (eds) Computational Intelligence in Wireless Sensor Networks. Studies in Computational Intelligence, vol 676. Springer, Cham.
- Radha S, Hemalatha R, Aasha Nandhini S, “Compressive Sensing for Wireless Communication: Challenges and Opportunities”, River Publishers, Denmark, 2016
- R. Hemalatha, Dr. S. Radha, Dr. K. Muthumeenakshi, “Disease Monitoring of Cucumber in Polyhouse through IoT based Mobile Application”, Book chapter, in IGI Global, Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture, pp. 273-288, 2021.
- Anitha M.J., Hemalatha R., Radha S., “A Survey on Crack Detection Algorithms for Concrete Structures”. Book chapter, In: Suresh P., Saravanakumar U., Hussein Al Salameh M. (eds) Advances in Smart System Technologies. Advances in Intelligent Systems and Computing, Springer, vol 1163, 2021, pp.639-654.
- Sudharsan, S., Hemalatha, R., Gowtham, K., Prasadh, S.G., Shelson, J. (2025). Spectral Analysis of Seashore Minerals by Mineralogical Mapping. In: Tuba, (eds) ICT Systems andSustainability. ICT4SD 2024. Lecture Notes in Networks and Systems, vol 1194. Springer, Singapore. https://doi.org/10.1007/978-981-97-9523-9_24 (scopus indexed)
- Sudharsan, S., Hemalatha, R., V., T.N. et al. Machine learning-driven mineral identification using PRISMA hyperspectral data along the coastal regions of Southeast Tamil Nadu. Earth Sci Inform 18, 327 (2025). https://doi.org/10.1007/s12145-025-01839-4
- S. Sudharsan, R. Hemalatha, S. Radha, “Exploring Clay and Silicate-Based Mineral Profiles Along Pichavaram Coastal Region, Tamil Nadu, with AVIRIS-NG Hyperspectral Data” in Journal of Seismic Exploration, vol. 32, pp. 01-18, November 2024.
- Anitha, M. J., Hemalatha, R., & Radha, S. (2024). Crack size determination in stone historical monuments using ICD mask R-CNN. Journal of Structural Engineering, 51(1-2), 51–66. Retrieved from https://www.jose.serc.res.in/index.php/JOSE/article/view/1174
- R Hemalatha, K Muthumeenakshi & S Radha (2023) A neural-network-based machine-learning model for fabric defect detection and classification using fused global features, Australian Journal of Electrical and Electronics Engineering, 20:4, 371-386, DOI: 10.1080/1448837X.2023.2247605 (SJIR-0.26)
- Subashini. R, R Hemalatha and K Muthumeenakshi, “Dictionary Learning Based Adaptive Defect Detection in Complex Fabric Textures”, International Journal of Computing and Digital Systems, September 2023, pp.669-778.
- S, Aasha Nandhini., R, Hemalatha, S, Radha, Shreya Gaur and Selvarajan. R, “A smart agriculturing IoT system for banana plants disease detection through inbuilt compressed sensing devices”, Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-15442-6.
- M. J. Anitha and R. Hemalatha, "Efficient crack severity level classification using bilayer detection for building structures," Computer Systems Science and Engineering, vol. 46, no.1, pp. 1183–1200, 2023.
- Kailasam. M, Sankararajan. R, and Rajendran. H, “Improved Collaborative Spectrum Sensing Scheme for Maritime Cognitive Radio”, Indian Journal of Geo-Marine Sciences, vol.50, no.8, August 2021, pp. 603 – 612.
- Blessy Annie Flora. J, S. Radha, R. Hemalatha, and Aasha Nandhini. S, “Plant Disease Detection for Banana using Long Range Wide Area Network”, International Journal of Security and Networks, vol.16, No.2, July 2021, pp.129-134.
- Ajay Nair, Hemalatha R, P Sangeetha, Harish Kumar K, Dinesh Kumar P, Inakota Sai Sahith and S. Radha, “Efficient crack detection and quantification in concrete structures using IoT”, Australian Journal of Electrical and Electronics Engineering, Vol.18, Issue.1, May 2021, pp. 43-57.
- Monika, R., Hemalatha R, & Radha, S., “Energy efficient surveillance system using WVSN with reweighted sampling in modified fast Haar wavelet transform domain”, Multimedia Tools and Applications, May, 2018.
- S.Aasha Nandhini, R.Hemalatha, Radha S, K.Indumathi, “Web Enabled Plant Disease Detection System for Agricultural Applications Using WMSN”, Wireless Personal Communication, Springer, pp 1-16, December, 2017.
- Hemalatha, R, Radha, S & Sudharsan, S, ‘Energy-efficient image transmission in wireless multimedia sensor networks using block-based Compressive Sensing’, Elsevier Computers and Electrical Engineering, Feb 2015, Vol.44, pp.67-79.
- Hemalatha, R, Ramaprabha R and Radha S, “Design and Implementation of PV based Energy Harvester for WSN Node with MAIC algorithm” Advances in Electrical and Computer Engineering, May 2015, Vol.15, No.2, pp. 109-116.