Dr. Vinod Kumar Yadav: Senior Scientist at ICAR-Central Institute of Fisheries Education Mumbai, India
Dr. Vinod Kumar Yadav is a Senior Scientist in Agricultural Statistics at the Social Science / Fisheries Economics, Extension and Statistics Division of ICAR-CIFE, Mumbai. He holds an M.Sc. from IARI, Pusa New Delhi, and a Ph.D. from IIT Bombay. His work integrates statistical modelling, machine learning, remote sensing, and climate impact assessment to support sustainable fisheries management. He has led and contributed to numerous national projects, developed decision-support technologies, and authored multiple research publications and technical manuals. He is widely recognized for his contributions to fisheries data analytics, precision aquaculture, and geospatial intelligence for aquatic systems.
Online Profiles
ORCID Profile
Education
Dr. Yadav earned his M.Sc. in Agricultural Statistics from IARI, New Delhi, where he ranked 1st in ICAR-JRF for admission. He completed his Ph.D. at IIT Bombay with specialization in computational modelling and statistical applications in fisheries and aquatic systems. His academic foundation combines strong quantitative training with applied environmental data science.
Research Focus
Dr. Yadav’s research focuses on machine learning and deep learning applications in fisheries; GIS and remote sensing for aquatic resource mapping; climate change projections and vulnerability assessment; modelling and forecasting of fish production; IoT-enabled precision aquaculture; and ecosystem valuation for sustainable policy planning. His work aims to create data-driven strategies for improving inland and marine fisheries resilience and productivity.
Experience
As a Senior Scientist at ICAR-CIFE, Dr. Yadav has served as Principal Investigator and Co-PI on multiple research projects involving fisheries modelling, resource evaluation, value chain analysis, climate impact studies, and development of geospatial and AI-based tools for aquaculture. He teaches advanced courses at both M.Sc./MFSc and Ph.D. levels, has guided postgraduate and doctoral students, contributes to national surveys, serves on academic committees, and actively supports institutional digital and research-data systems.
Research Timeline & Activities
Over the past decade, Dr. Yadav has advanced work in:
2011–14: Forecasting and statistical modelling of fish production at national scale
2013–18: Aquaculture value chain, biochar impact studies, and spatio-temporal data analytics
2018–21: Climate change vulnerability mapping and predictive modelling for inland fisheries
2021–Present: Precision aquaculture networks, technology innovation in fisheries, ecosystem valuation studies, and development of AI-ML based monitoring frameworks
His overseas training at the University of Tokyo strengthened his work in intelligent aquaculture systems and machine-learning based fisheries analytics.
Awards & Honors
Dr. Yadav has received several national and international recognitions including Excellence in Research Award (2024), Best Scientist in Agricultural Statistics (2023), multiple academic excellence awards during World Environment Summits, Outstanding Researcher awards (2022), Golden Achiever Award (2022), and paper presentation awards at international conferences. He has also received copyrights and technology recognition for fisheries governance indices and AI-ML based aquatic monitoring tools.
Top Noted Publications
Dr. Yadav has published research in the Indian Journal of Fisheries, Journal of Environmental Biology, Indian Journal of Geo-Marine Sciences, Fishery Technology, and other recognized journals. His notable works include comparative modelling of time-series forecasting of fish production, economic impact assessments of inland fisheries, geospatial simulations for reservoir ecosystems, and socio-economic analytics of fishing communities.
Meharoof, M., Yadav, V.K., Sharma, A., Ojha, S.N., Anitha, V., & Paul, T.T. (2025).
Land Use Land Cover Change Detection for Fish Culture Area Mapping in the Peechi Reservoir.
Journal of the Indian Society of Remote Sensing.
https://doi.org/10.1007/s12524-025-02206-yMeharoof, M., Yadav, V.K., Sharma, A., Anitha, V., Paul, T.T., Paul, L., & Dave, C.P. (2024).
Economic valuation of cultural ecosystem services: A case of tropical reservoir ecosystem.
Journal of Environmental Biology.
https://doi.org/10.22438/jeb/45/5/MRN-5265Patro, K.S.K., Yadav, V.K., Bharti, V.S., Sharma, A., & Sharma, A. (2023).
Fish Detection in Underwater Environments Using Deep Learning.
National Academy Science Letters.
https://doi.org/10.1007/s40009-023-01265-4Pal, S., Yadav, V.K., Sharma, A., Ananthan, P.S., Qureshi, N.W., Dey, S., Jana, P., Karmakar, S., & Ojha, S.N. (2022).
Coastal Multi-Hazard Vulnerability Mapping: A Case Study Along the Coast of South 24 Parganas District, East Coast of India.
Journal of the Indian Society of Remote Sensing.
https://doi.org/10.1007/s12524-022-01558-zYadav, V.K., Pal, S., & Ojha, S.N. (2022).
Geospatial and Temporal Studies on Climatic Parameters and Their Impact on Inland Fish Production: A Case Study.
International Journal of Bio-resource and Stress Management.
https://doi.org/10.23910/1.2022.2721
Strengths for Innovative Researcher Award
Pioneering Use of AI and Machine Learning in Fisheries Analytics
Demonstrated leadership in applying machine learning, deep learning, and computational modeling to solve real-world fisheries problems such as fish detection, stock forecasting, and ecosystem monitoring.Advancement of Geospatial Intelligence for Aquatic Resource Management
Integrated GIS, remote sensing, and spatio-temporal data analytics to map fish culture zones, reservoir dynamics, and climate vulnerability hotspots that support evidence-based policy and resource planning.Development of Precision Aquaculture and Smart Decision-Support Tools
Contributed to IoT-enabled monitoring networks and developed data-driven frameworks that enhance efficiency, sustainability, and environmental performance in aquaculture systems.Interdisciplinary Research Impact on Climate Resilience and Ecosystem Sustainability
Produced influential studies connecting climate variability, inland fish production, ecosystem valuation, and community livelihoods, supporting sustainable governance of aquatic ecosystems.Strong Publication, Training, and Technology Dissemination Record
Published impactful research in recognized journals, guided postgraduate scholars, and contributed to national projects and technical manuals, influencing research, teaching, and extension in fisheries science.