Research Interest: Dr. Maneesha Vinodini Ramesh is a leading researcher at Amrita Vishwa Vidyapeetham whose work integrates the Internet of Things, meteorology, hydrology, geology, and data science, leading to the world’s first AI-integrated IoT-based landslide early warning system. With a Ph.D. in Computer Science and Engineering, her pioneering thesis on wireless sensor networks for rainfall-induced landslide detection led to the world’s first deployed IoT-based landslide early warning system and earned her a U.S. patent. Her interdisciplinary research integrates meteorology, hydrology, geology, and data science to build AI-driven disaster risk reduction frameworks, positioning Amrita as a World Center of Excellence on Landslide Disaster Risk Reduction (2020–2023). Ranked among the top 2% of scientists globally by Stanford University in Networking & Telecommunications, she has secured major national and international grants across domains including landslide risk assessment, IoT-based water quality monitoring, sustainable water access, remote patient monitoring, microgrid optimization, soil–weather analytics, early breast cancer detection, and heritage preservation through smart technologies. With over 100 publications and multiple best paper awards, her translational research has been implemented across India, supported by agencies such as MoES, DST, ICMR, SERB, NERC (UK), the European Commission, and KSDMA. Her innovations also extend to low-power wearable ECG devices, AI-enabled communication systems for fishermen safety, and large-scale community sustainability initiatives, reflecting a research vision deeply rooted in technological excellence and societal impact.