AI Innovations in Marine Resources and Pollution Management

Dr. Sesan Abiodun Aransiola is Lecturer at the Department of Microbiology, University of Abuja, Nigeria. He obtained his BTech, MTech, and PhD in Microbiology from the Federal University of Technology, Minna, Nigeria. His area of interest is environmental microbiology with a focus on biosorption and bioremediation. Dr. Aransiola is a member of both the Nigerian Society for Microbiology and the American Society for Microbiology, and has co-edited several books on the topic, including Elsevier’s Microbial Technology for Bioenergy (2024).Prof. Ebenezer Esenogho is a Distinguished Professor and the Head of the Centre for Artificial Intelligence and Multidisciplinary Innovation Studies (CAIMIS) at the University of South Africa (UNISA), Pretoria campus where is mentoring over thirty postdoctoral research fellows and hosting over ten Research Associate. He is also a Visiting Professor at Mbarara University of Science and Technology (MUST), Uganda, where he supports postgraduate supervision and mentor junior staff members in the field of AI/ML. Prof. Ebenezer is a recipient of numerous grants, scholarships, awards, and fellowships, including the CEPS/Eskom HVDC (2013, 2014), J.W. Nelson Award (2015), GES Post-Doctoral Fellowship (2017, 2018, 2019/20), the French/South Africa Institute of Technology (F' SAIT) SARChi Chair (2021) and NRF research grant award (2025). In 2025, he was awarded the prestigious National Research Foundation (NRF) C2-rating for researchers of international repute. His research interests include but not limited to Fifth Generation (5G) Wireless Networks, Cognitive Radio Networks, Network Security/Cybersecurity, Smart Grid, IoT/IoE, SDN/SDR, Wireless Sensor Networks, Artificial Intelligence/Machine Learning, Big Data, and Mobile/Cloud Computing. Dr. Naga Raju Maddela is Professor of Microbiology at the Technical University of Manabi. He obtained his MSc and PhD in Microbiology from Sri Krishnadevaraya University, India, and conducted post-doctoral research at Sun Yat-sen University, China. His area of interest is environmental microbiology with a focus on the ecological impacts of industrial effluents and insecticides. Dr. Maddela is a member of the Microbial Society, England, the International Biodegradation & Bioremediation Society, Great Britain, and the American Society for Microbiology.

• Section I. Marine Ecosystem Resources and Pollution in the AI Era1. AI in Marine Pollutions: Types, Sources, Effects, and Distributions2. AI in Marine Resources, Conservation, and Sustainability3. AI Modeling in Marine Ecosystem: Environmental Impacts4. Applications of AI in Marine Pollution Control5. Sustaining Marine Ecosystem Resources Through AI-Powered Tracking Systems6. Effects of Marine Pollution on Climate Change: The Place of AI as a Mitigating ToolSection II. AI Innovation in Marine Resources and Pollution Management7. Application of AI in Marine Plastics Mapping and Control Scope8. Heterogeneous Sensor Modalities for Marine Resources and Pollution Monitoring9. AI-Powered Discovery of Emerging Marine Pollutants and Remediation10. Geospatial Intelligence of Marine Resources and Pollution: The AI Mapping Approach11. Edge AI and Smart Drones for Oil Spill Detection12. Advanced Sensor Fusion Algorithms & Real-Time Monitoring of the Marine Ecosystem13. AI Prospects in Solving Global Health Challenges from Marine Resources14. AI-Driven Monitoring and Detection of Floating and Underwater Marine DebrisSection III. Challenges and future guidelines of using AI to manage marine resources and pollutions15. Constrictions and Limitations of AI in Marine Resources and Pollution Management16. Case Studies and Global Perspectives in Marine Ecosystem Resources Tracking17. Ethical, Legal and Operational Challenges of AI Innovations in Marine Pollution Monitoring18. Effects of Data Quality on AI-Decision Making in Marine Pollutions: Completeness, Timeliness, Reliability, Standardization, and Representativeness19. Frameworks for Data Governance, Access Rights, and Consent in Citizen Science Contribution20. AI-Driven Tools for Sustainable Marine Polices and Public Awareness Strategies: Smart Oceans, Decision Support Systems and Citizen Science Projects21. Future Directions and Challenges in AI-Based Marine Resources and Pollution Management