Dr. Sandhya Sharma
Description’s
Dr. Sandhya Sharma is an emerging interdisciplinary researcher specializing in artificial intelligence, ecological informatics, wildlife conservation, and environmental data science. She holds a Ph.D. in Environmental and Ecological Sciences from Muroran Institute of Technology, Japan, and has advanced academic training in ecology and applied data science from leading institutions in Nepal and Japan.
Her research expertise lies in the application of machine learning, deep learning, geospatial analytics, and AI-based monitoring systems for biodiversity conservation and environmental sustainability. She has extensive experience in designing and implementing AI-driven solutions for wildlife detection, species classification, habitat monitoring, and conservation decision-support systems.
Dr. Sharma has published widely in high-impact international peer-reviewed journals in areas such as Ecological Informatics, Sustainability, Electronics, Biosystem Engineering, and Global Ecology and Conservation, with strong contributions to wildlife conservation science, particularly focusing on endangered species monitoring and human–wildlife interaction analysis.
She has also been actively involved in international research collaborations, academic teaching, field-based conservation projects, and capacity-building programs in Nepal and Japan. Her work integrates scientific research with practical conservation outcomes, engaging local communities, governmental agencies, and international partners.
At NIIERD, she serves as an International Expert (AI, Ecology, Environmental Research & Sustainable Development), contributing to research innovation, environmental policy analysis, data-driven conservation strategies, and international academic collaboration, particularly in the fields of sustainable development and technology-driven environmental management.
