About my research
I am currently trying to solve a set of interconnected problems that constrain the sustainable growth of fisheries, aquaculture, and the blue economy. These include: How to make complex fisheries and aquaculture decisions more intelligent and evidence-based by integrating fragmented environmental, spatial, biological, economic, and policy information through AI-driven decision intelligence. How to enable sustainable offshore and open-sea farming by addressing technological, spatial, environmental, climate, and economic constraints and identifying where and how marine resources can be developed responsibly. How to anticipate rather than react to climate and environmental risks, using predictive modelling, geospatial intelligence, AI, and scenario-based approaches to improve the resilience of aquaculture systems and enterprises. How to bridge the gap between scientific innovation and real-world adoption, ensuring that technologies are technically effective, economically viable, scalable, investable, and relevant to farmers, entrepreneurs, and industry. How to bridge science, strategy, and policy, translating multidisciplinary evidence into practical strategies, spatial plans, governance frameworks, and policy interventions for sustainable blue-economy development. How to move from fragmented interventions to holistic development systems, connecting AI, technology, spatial intelligence, economics, entrepreneurship, institutions, and policy to create future-ready, sustainable, and scalable fisheries and aquaculture ecosystems.
My Webinar competition entry
ANRF+IIT Mandi Webinar Competition 2026 | Mariculture Intelligence | Dr. Suresh Mojjada | ICAR-NAARM
The future of sustainable development lies in connecting science, society, and policy through AI-driven decision intelligence to turn knowledge into scalable, real-world impact.
Let's connect
I am particularly interested in transdisciplinary research that connects science, technology, society, and policy to create measurable development impact. My broader research goal is to develop AI-enabled decision-intelligence and digital transformation frameworks across agriculture, fisheries, aquaculture, and the blue economy. Key areas for collaboration include: AI-driven decision intelligence, digital twins and digital transformation across agriculture, fisheries, and aquaculture Digital Agriculture and Digital Blue Economy for data-driven, climate-resilient, and sustainable production systems Offshore and open-sea aquaculture, including smart, climate-resilient, and resource-efficient farming Geospatial intelligence and spatial planning for sustainable agriculture, fisheries, and blue-economy development Techno-economic, enterprise, and scalability modelling for translating innovations into viable and scalable solutions Science-society-policy interface, including strategy, governance, innovation ecosystems, and pathways for translating research into technology adoption, livelihoods, and societal impact.