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Artificial Intelligence for the Oceans

Proceedings of ICAIO 2025

  • Conference proceedings
  • © 2026
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Editors:
  1. R. Venkatesan

    1. Anna university, Chennai, India

  2. J. Preetha Roselyn

    1. Dept of EEE, SRM Institute of Science and Technology, Chennai, India

  3. K. Vijayakumar

    1. School of EE, SRM Institute of Science and Technology, Kattankulathur, India

  4. Vijayan Sugumaran

    1. Department of Decision and Information Sciences, Oakland University, Rochester, USA

  • Presents research works in the field of artificial intelligence for oceans
  • Provides original works presented at ICAIO 2025
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 1696)

Included in the following conference series:

Conference proceedings info: ICAIO 2025.

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About this book

This book underscores the critical importance of oceanic health, sustainability, and global collaboration. It aims to foster interdisciplinary dialogue among scientists, policymakers, and stakeholders to address pressing issues such as marine conservation, climate change impact mitigation, and sustainable resource management. Emphasizing the interconnectedness of ocean health with global ecosystems, the book presents innovative solutions. By promoting knowledge exchange and fostering partnerships, it aims to drive actionable outcomes for marine biodiversity preservation and resilient coastal communities worldwide. This book serves as a pivotal platform to shape policies and practices for a sustainable ocean future.

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Table of contents (47 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Advancing Welding Defect Detection in Maritime Operations Via Adapt-WeldNet and Defect Detection Interpretability Analysis

    • S. Kamal Basha, Athira Nambiar
    Pages 1-18

  3. Microplastic Detection Using Detectron V2 Model for Qualitative Analysis of Oceanic Water on the Southern Coastline of India

    • Ch. Vasanth Kumar, Dodda Jayasri, R. Gopika, Onteddu Sirisha
    Pages 19-32

  4. AI-Driven Hybrid Framework for Real-Time Underwater Fish Detection and Multi-technique Image Enhancement

    • Wilfred Auxilian George, J. Yeshwanth, C. Abishek, N. Muthurasu, K. Prabhakaran, S. Ramasundaram
    Pages 33-52

  5. AI-Powered Water Quality Monitoring Systems for Marine Environments: Enhancing Sustainability and Conservation

    • R. C. Jeni Gracia, Lakshmi Kanthan Narayanan
    Pages 53-64

  6. Single Cell RNA-Sequence Analysis of Coral Reef Using Modified Graph and Encoder Based Hybrid Deep Learning Algorithm

    • Nafila Nazrin Noorullah, Jeevika Sri Arul Prakash, Vitharshana Janarthanam, Kayalvizhi Mohan, P. Sarasu, Vijayan Sugumaran
    Pages 65-81

  7. Underwater Image Enhancement on Lab Space Color Method Using Faster Region Based Convolution Neural Network

    • N. Deluxni, Pradeep Sudhakaran, R. Narayanamoorthi
    Pages 83-96

  8. YOLOv8 Based Intelligent Maritime Surveillance Using Satellite Imagery

    • K. Akash, H. Heartlin Maria, R. Kayalvizhi
    Pages 97-113

  9. Machine Learning-Based Unsteady Flow Dynamics Prediction Around Two Wall-Mounted Square Ribs Arranged in Tandem

    • Oishik Chowdhury, Sourav Sarkar, Koustuv Debnath, Prince Raj Lawrence Raj
    Pages 115-125

  10. Identification and Classification of Small Aquafarming Species Using Deep Learning Models

    • A. Sugunapriya, S. Markkandan
    Pages 127-146

  11. Variation of Wave Energy Potential Assessment Along Kanyakumari Coast, Southeast Coast of India

    • N. Sharmila, J. Velmurugan, A. Vishnukumar, S. K. Manigandan, D. Ramya
    Pages 147-157

  12. Machine Learning Model for Real-Time Analysis and Prediction of Coral Bleaching with a Web Application Tool

    • Tushar Kumar, Abhishek Dwivedi, Prerak, Shanthi Prince
    Pages 159-174

  13. Revolutionizing Deep-Sea Component Design Through Additive Manufacturing

    • Thirumurugan Karuppiah, Shanmuga Sundaram Karibeeran, Arul Muthiah Manickavasagam
    Pages 175-192

  14. Leveraging Deep Learning Architectures for Coral Reef Classification

    • P. Ganesh Kumar, K. Hemalatha, J. Preetha Roselyn, K. Sandeep
    Pages 193-203

  15. Time-Series Analysis of Temporal Variations in Near Shore Bathymetry

    • B. A. Sabarish, K. Raghesh Krishnan, S. Padmavathi, B. Samyukth, Harika Kanakam, Sri Bhuvana Pathaneni et al.
    Pages 205-220

  16. Compact Intelligence for Waste Sorting: Implementing YOLOv5n with Arduino for Localized Management

    • Khushi Tiwari, J. Briskilal, Aniket Srivastava
    Pages 221-235

  17. OCEAN-Net: A Deep Learning Framework for Optimized Analytics and Edge Deployment in Networked Plastic Pollution Detection Using Multi-modal Data Fusion

    • Y. Sunil Raj, Helen Parimala, V. S. Jayakumar Paul Bosco, S. Charles, Ukabuiro Ikenna Kelechi, G. Kannan
    Pages 237-251

  18. Revolutionizing Maritime Efficiency: Hybrid Venturi-Cavitation Nanobubble Technology and AI-Driven Air Lubrication Systems for Sustainable Shipping

    • A. B. Sebastan
    Pages 253-263

  19. Regulatory Challenges of Maritime Autonomous Surface Ships (MASS): Advancing Towards a New Legal Framework

    • N. Nikhilesh, Rekhil Sukesan
    Pages 265-278

  20. Enhanced Most Valuable Player Algorithm-Based Clustering for Digital Images

    • Shanmugapriya Subramaniyan, R. Sridhar
    Pages 279-292
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  1. Artificial Intelligence for the Oceans

Editors and Affiliations

  • Anna university, Chennai, India

    R. Venkatesan

  • Dept of EEE, SRM Institute of Science and Technology, Chennai, India

    J. Preetha Roselyn

  • School of EE, SRM Institute of Science and Technology, Kattankulathur, India

    K. Vijayakumar

  • Department of Decision and Information Sciences, Oakland University, Rochester, USA

    Vijayan Sugumaran

About the editors

R. Venkatesan having 42 years of experience in ocean science and technology. He is working as a professor of practice Anna University and Adjunct Professor UMass Dartmouth USA. He received his M. Tech. Degree from Karnataka Regional Engineering College and was awarded Ph.D. degree from the Indian Institute of Science, Bangalore, and continued his academic pursuit to complete courses in Marine Environmental Pollution and Management and International Business Management from IIFT New Delhi. He served in premier Indian Institutions (NIOT and NIO) including UNESCO-IOC-GOOS and UNEP Regional Seas. He has to his credit 190 papers edited 3 books and 10 products transferred to industry.


Dr. J. Preetha Roselyn is working as a professor in the Department of Electrical and Electronics Engineering in SRM Institute of Science and Technology. She completed her B.E (EEE) from Madras University in the year 2002, M.S.(By Research) from Anna University in the year 2007 and Ph.D. from SRM University in the year 2015. She has published 55 international publications among which 54 are SCI indexed journals, 4 lecture notes, 58 conference publications, and 1 book. She has received DST funded project in the topic Optimal energy management system in shipboard power system with solar PV for the period 2018–2021 and MODROB funded project from AICTE, PI of MOES funded project and Co-PI for MOES funded project, Co-PI of 4 SATU projects, and 3 internally funded projects. She has completed Ph.D. for 5 research scholars, and currently, 7 scholars are pursuing their PhD under her guidance. 

K. Vijayakumar received the B.E. degree in Electrical and Electronics Engineering and the M.E. degree in Power Systems from Annamalai University, India, and the Ph.D. degree from SRM Institute of Science and Technology. He is currently working as a professor in the Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology and holding the responsibilities of Dean, School of Electrical and Electronics Engineering. He has published more than 200 papers in various indexed journals. His research interest includes power electronics applications in power systems and renewable energy systems. He is also a member of various professional societies, such as IEEE, IE, MISTE, IEICE, SESI, IpowerE, etc. He is a senior member of IEEE and fellow member of IE(India). He organized many programs like conferences, workshops, etc.  He co-authored two text books and edited three conference proceedings.

Vijayan Sugumaran is a distinguished university professor and Janke Scholar of Management Information Systems in the School of Business Administration at Oakland University, Rochester, Michigan, USA. He is also the chair of the Department of Decision and Information Sciences and co-director of the Center for Data Science and Big Data Analytics. He received his Ph.D. in Information Technology from George Mason University, Fairfax, Virginia, USA. His research interests are in the areas of big data management and analytics, ontologies and semantic web, intelligent agent and multi-agent systems. He has published over 300 peer-reviewed articles in journals, conferences, and books. He has edited twenty books and serves on the editorial board of eight journals.

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