Address the conservation of forests and mangroves using a combination of GIS, remote sensing, and participatory approaches, complemented by mathematical modeling and drones, with a focus on leveraging AI, ML, and big data analytics for enhanced understanding and management.
Achieve net-zero emissions by harnessing biological carbon sequestration, implementing green technologies, and exploring the potential of hydrogen fuel cells as sustainable energy solutions.
Assessing the impact of extreme events on biodiversity ecosystems through multi-modal intercomparison and sensor fusion, using high resolution re-analysis data to model future scenarios.
Enhancing food and nutrition security through the development of climate resilient crops using mathematical modeling of weather patterns, within the framework of climate-smart agriculture.
Addressing microplastics and marine pollution through the exploration of recycling methods, biodegradable plastics, bioremediation, and integrated multi-trophic aquaculture (IMTA)
Estimating particulate matter and correlating air pollutants with it, followed by transfer learning-based forecasting of PM levels, while studying oceanic and atmospheric composition retention.
Combating global warming through the integration of digital twin technology and AI for solar electric mobility, utilizing the glitter belt concept and flying leaf technology for sustainable energy solutions.
Enhancing resilience against multiple hazards through the development of robust infrastructure, supported by economic modeling and simulation education, aimed at fostering smart cities and informed risk management
for sustainable development.
Utilizing geo-spatial and simulation modeling, along with multi-source data fusion, to address soil and water pollution, enhanced by ubiquitous AI and innovative deliverables.
Promoting regenerative agriculture through a human-centric approach, integrating systems thinking and drone mapping to address unsustainable land use practices in agriculture.
Developing a mathematical model enhanced by autonomous underwater robots to protect aquatic life from acoustic threats.
Implementing IoT and sensor technology alongside nano-technology in green chemistry for wastewater remediation, integrated with vertical farming practices.
Utilizing mathematical modeling and AI-driven data analytics to address inaccuracies in regional predictions, promoting AI for social good.
Engage people in wetland conservation efforts through the integration of GIS and remote sensing technologies, aimed at developing mitigation measures and policies.