This volume presents selected contributions from the 7th International Conference on Ocean Engineering (ICOE 2025), hosted by the Indian Institute of Technology Madras, India. The book brings together recent developments in ocean engineering and highlights their relevance to the emerging blue economy, with emphasis on sustainable use of ocean resources, resilient infrastructure, and technology-driven marine solutions.

The chapters cover a broad range of themes, including offshore renewable energy, coastal and offshore structures, marine hydrodynamics, ocean energy systems, offshore geotechnics, subsea engineering, marine transportation, and climate-resilient coastal development. Several contributions also explore the growing role of computational methods, data-driven approaches, and artificial intelligence in addressing complex ocean engineering problems.

The book reflects both academic research and industry-oriented applications, presenting experimental investigations, numerical modelling, field studies, and design methodologies relevant to present-day marine challenges. It also discusses technologies and engineering practices that support the sustainable development of marine resources while addressing environmental and operational considerations.

Intended for researchers, practicing engineers, policymakers, and graduate students, this volume provides current perspectives and practical insights into advances shaping the future of ocean engineering and the blue economy.

Addresses climate change, coastal resilience, and sustainable ocean resource management Combines AI, remote sensing, and advanced modeling for environmental prediction Covers offshore geotechnics, aquaculture, deep-sea exploration, and energy systems

Autorentext

Abdus Samad is Professor and Head of the Department of Ocean Engineering at the Indian Institute of Technology Madras, India. His research interests include ocean energy systems, design optimization, fluid machinery, and artificial intelligence applications in marine engineering. He has authored and edited several books, contributed chapters to international volumes, and published extensively in journals and conference proceedings. He also holds patents related to engineering applications and has received recognition for his contributions to research and education. His work focuses on advancing sustainable marine technologies and supporting the development of the blue economy.

Dr. Poguluri Sunny Kumar is Assistant Professor in the Department of Ocean Engineering at IIT Madras. He completed his M.Tech. and Ph.D. at IIT Madras and subsequently carried out postdoctoral research at Jeju National University, South Korea, where he also served as a lecturer. His research interests include offshore structures, hydrodynamics, and marine engineering applications. He has published several research articles in various international journals and conferences, advancing offshore and ocean engineering research.

Dr. Bithin Ghorai is an Assistant Professor in the Department of Ocean Engineering at IIT Madras. He previously served at IIT Jodhpur and as a postdoctoral researcher at TU Delft, the Netherlands. He obtained his Ph.D. in Offshore Geotechnical Engineering from IIT Bombay and M.Tech. from IIT Madras. His research focuses on offshore geotechnics, including foundations, anchoring systems, subsea pipelines, and seabed-interacting systems associated with renewable energy infrastructure and deep-sea applications. He collaborates with researchers from several international institutions and actively contributes to research in sustainable offshore engineering systems.

Dr. Vijay K. G. is an Assistant Professor in the Department of Ocean Engineering at IIT Madras. Prior to joining academia, he worked in the subsea flexibles industry with Oceaneering and Technip. He obtained his M.Tech. from IIT Madras and Ph.D. from IIT Kharagpur. His research interests include numerical and experimental modelling of fluidstructure interactions in coastal and offshore systems, with emphasis on risers, wave energy converters, floating offshore wind turbines, and subsea umbilicals, flowlines, and risers (SURF). His work combines industrial experience with academic research in offshore engineering applications.

Prof. M. A. Atmanand is a former Director of the National Institute of Ocean Technology, Chennai, and currently serves as Adjunct Professor at IIT Madras and Visiting Professor at NIT Calicut. His areas of expertise include deep-sea technology, marine instrumentation, underwater vehicles, and the blue economy. He has held important responsibilities in national and international ocean technology programs, including leadership roles associated with the Intergovernmental Oceanographic Commission (UNESCO). He has published extensively in ocean engineering and has received several recognitions for his contributions to marine technology and ocean research.

Inhalt

Physics-Informed Conv-LSTM Model for Marine Ecosystems: Predicting Chlorophyll in Karaikal (2026 to 2028). APY Analysis: Physical and Chemical Parameters driven analysis to boost aquaculture productivity of shrimp and seaweed farming.- Optimizing Climate Change using Environmental, Social, Governance Metrics.- Experimental studies on change in Indian climatic condition, construction waste and pollution factor affecting the aquatic life of Poecilia Reticulata (Guppies) communities.- Assessing Coastal Urban Heat Islands and Air Quality Impacts on Coastal Environments: A Case Study of Mumbai, Chennai, Mangalore, and Visakhapatnam.- Combined experimental and numerical study on wind-generated waves.- Coupled Ocean-Atmosphere model simulations for investigating the Aerosol Radiative Forcing effects on Regional Climate and SST over the Bay of Bengal.- Influence of ENSO on Extreme Storm Surges over the Indo-Pacific Region.- An innovative Multi-Dimensional Coastal Vulnerability Assessment Framework: A Case Study of the Pulicat Lake Landscape, India.- PE-LiNN: A Hybrid Physics-AI Framework for Predicting Ocean Color Chlorophyll-a Concentration in the Karaikal Region Using Remote Sensing Data.- Foreseeing The Spatio-Temporal Variations Of Harnessable Wind Power Density Due To Climate Change In the Indian Offshore Region.- A Levelised Cost Based Comparison of Two Ocean Observing Technologies.- Adaptive Color Restoration and Detail Restoration In Underwater Image Enhancement.- Non-invasive ultrasonic based measurement of slurry density.- Optimizing Nanoparticle Properties for Enhanced Oil Recovery: A Machine Learning Approach in Extreme Reservoir Conditions.- Advancing Deep-Sea Resource Exploration: Data-Efficient Polymetallic Nodule Segmentation Using Optimized SAM.