Dr. Hemalatha is an Assistant Professor at the Center for Wireless Networks Applications, Amrita Vishwa Vidyapeetham, Amritapuri. She has been majorly involved in research works for forecasting imminent landslides ahead of time, social media analytics for natural hazard events detection, and decision support systems for monitoring and early warning of landslides. Her primary focus is arriving at thresholds for different sensors used in landslide forecasting, efficiently forecasting the possibility of imminent landslides and risk analysis. She is also into building automated systems with machine learning and forecasting technologies for real-time monitoring of environmental applications. Historical data analysis of natural disasters such as Landslides, Avalanches, Floods, and Droughts. Laboratory and numerical modelling of geotechnical and hydrological processes related to landslides. Her areas of interest also include Data Science, Machine learning, Computational Optimization, Disaster Risk Reduction, Multihazard modelling, etc.
Year : 2022
Cite this Research Publication : Ramesh, M. V., Thirugnanam, H., Singh, B., Nitin Kumar, M., & Pullarkatt, D. (2023). Landslide Early Warning Systems: Requirements and Solutions for Disaster Risk Reduction—India. In Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022 (pp. 259-286). Cham: Springer International Publishing.
Year : 2022
Cite this Research Publication : H. Thirugnanam, S. Uhlemann, R. Reghunadh, M. V. Ramesh and V. P. Rangan, "Review of Landslide Monitoring Techniques With IoT Integration Opportunities," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5317-5338, 2022, doi: 10.1109/JSTARS.2022.3183684.
Publisher : IEEE
Year : 2021
Cite this Research Publication : J. Phengsuwan, Shah, T., Thekkummal, N. Balan, Wen, Z., Sun, R., Pullarkatt, D., Thirugnanam, H., Dr. Maneesha V. Ramesh, Morgan, G., James, P., and Ranjan, R., “Use of Social Media Data in Disaster Management: A Survey”, Future Internet, vol. 13, p. 46, 2021.
Year : 2019
Cite this Research Publication : T. Hemalatha, M. V. Ramesh and V. P. Rangan, "Effective and Accelerated Forewarning of Landslides Using Wireless Sensor Networks and Machine Learning," in IEEE Sensors Journal, vol. 19, no. 21, pp. 9964-9975, 1 Nov.1, 2019, doi: 10.1109/JSEN.2019.2928358.
Publisher : IEEE
Year : 2017
Cite this Research Publication : P. Rekha, Dr. Maneesha V. Ramesh, P. Venkat Rangan, Dr. Usha Kumari P. V., and Hemalatha, T., “Energy Efficient Data Acquisition Techniques Using Context Aware Sensing for Landslide Monitoring Systems”, IEEE Sensors Journal, vol. 17, pp. 6006-6018, 2017
Publisher : IEEE Sensors Journal.
Year : 2019
Cite this Research Publication : Monitoring slope subsurface dynamics with point sensors and geophysical imaging techniques for landslide early warning
Thirugnanam, H., Watlet, A., Singh, B., ...Wilkinson, P.B., Chambers, J.E.
1st Indian Near Surface Geophysics Conference and Exhibition, 2019, pp. 253–258
Publisher : European Association of Geoscientists & Engineers
Year : 2017
Cite this Research Publication : V. V. Sai and T. Hemalatha, "Computational methods for simulating soil parameters using electrical resistivity technique," 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2017, pp. 1-7, doi: 10.1109/ICCCNT.2017.8204145.
Publisher : IEEE
Year : 2017
Cite this Research Publication : V. V. Sai, Hemalatha, T., and Dr. Maneesha V. Ramesh, “An Affordable Non-destructive Method for Monitoring soil Parameters in Large Scale using Electrical Resistivity Technique”, in 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017
Publisher : 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).
Year : 2012
Cite this Research Publication : Dr. Maneesha V. Ramesh, Anu, T. A., and Thirugnanam, H., “An intelligent decision support system for enhancing an m-health application”, in IFIP International Conference on Wireless and Optical Communications Networks, WOCN, Indore, MP, 2012
Publisher : WOCN
Year : 2019
Cite this Research Publication : J. Phengsuwan et al., "Context-Based Knowledge Discovery and Querying for Social Media Data," 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI), 2019, pp. 307-314, doi: 10.1109/IRI.2019.00056.
Publisher : IEEE
