Indukala P. K. received her Bachelor’s degree in Information Technology from Cochin University of Science and Technology and her Master’s degree in Computational Engineering and Networking from Amrita Vishwa Vidyapeetham, Coimbatore. She is currently a Research Associate V at Amrita Center for Wireless Networks & Applications (Amrita WNA), Amritapuri , where she is also pursuing her Ph.D. under the guidance of Dr. Maneesha V. Ramesh. Her research focuses on the design, development, and implementation of IoT-driven microseismic sensing systems for landslide detection, as well as the development of signal processing and machine learning/AI algorithms to identify landslide signals.
Research Group: Machine Learning & Artificial Intelligence, Communication Systems for Extreme Environments: Landslide & Oceannet, IoT & Bigdata
Year : 2024
Cite this Research Publication : P. K. Indukala, U. G. Gosh and Maneesha Vinodini Ramesh, "IoT-Driven Microseismic Sensing System and Monitoring Platform for Landslide Detection," IEEE Access, vol. 12, pp. 97787-97805, 2024.
Publisher : IEEE
Year : 2018
Cite this Research Publication : D. Arjun, Indukala, P. K., and K. A. Unnikrishna Menon, “Border surveillance and intruder detection using wireless sensor networks: A brief survey”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2018.
Publisher : IEEE
Year : 2016
Cite this Research Publication : V. N. Deekshit, Dr. Maneesha V. Ramesh, Indukala, P. K., and G Nair, J., “Smart geophone sensor network for effective detection of landslide induced geophone signals”, in Communication and Signal Processing (ICCSP), 2016 International Conference on, 2016
Publisher : Communication and Signal Processing (ICCSP), 2016 International Conference on, IEEE .
Year : 2023
Cite this Research Publication : Adarsh, P., P. K. Indukala, and Balaji Hariharan. "An Adaptive Thresholding Framework for Detecting the Subsurface Movements in Landslide-prone Sites." In 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), pp. 1502-1507. IEEE, 2023.
Publisher : IEEE
Year : 2023
Cite this Research Publication : Ajim, A., Sahith, A., NB, S. S., Indukala, P. K., Singh, B., & Kumar, N. (2023, June). Enhancing Rain Gauge Sensor Reliability with Renewable Energy and Edge Analytics for Landslide Detection. In 2023 3rd International Conference on Intelligent Technologies (CONIT) (pp. 1-8). IEEE.
Year : 2020
Cite this Research Publication : Arjun, D., P. K. Indukala, and KA Unnikrishna Menon. "Development of a Framework for Effective Surveillance and Human Intrusion Detection in Border regions covered with Dry leaves.", 2020 Fourth International Conference on Inventive Systems and Control (ICISC), pp. 106-109. IEEE, 2020.
Publisher : IEEE
Year : 2019
Cite this Research Publication : Arjun, D., P. K. Indukala, KA Unnikrishna Menon. "Integrated multi-sensor framework for intruder detection in flat border area.", 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC), IEEE, 2019.
Publisher : IEEE
Year : 2019
Cite this Research Publication : Arjun, D., P. K. Indukala, and KA Unnikrishna Menon. "PANCHENDRIYA: A Multi-sensing framework through wireless sensor networks for advanced Border Surveillance and Human Intruder Detection." In 2019 International Conference on Communication and Electronics Systems (ICCES), pp. 295-298. IEEE, 2019.
Publisher : IEEE
Year : 2012
Cite this Research Publication : P. K. Indukala, Lakshmi, K., Sowmya V., and Dr. Soman K. P., “Implementation of ℓ 1 magic and one bit compressed sensing based on linear programming using excel”, International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 69-72, 2012
Publisher : IEEE
