Important Dates
Early Bird Registration :16th September 2026
Paper Submission Deadline :21st September 2026
Last Date of Registration : 1st October 2026
Date of Conference : 16th - 17th October 2026
Conference Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 13 — Climate Action
SDG 14 — Life Below Water
SDG 15 — Life on Land
SDG 17 — Partnerships for the Goals
Track 01
Innovations in Oceanographic Data Analysis
This track focuses on the latest methodologies and technologies in the analysis of oceanographic data. Contributions may include novel algorithms, software tools, and case studies demonstrating effective data analysis in marine environments.
Track 02
Advanced Data Visualization Techniques for Oceanography
This session will explore cutting-edge visualization techniques tailored for oceanographic datasets. Participants are encouraged to present innovative approaches that enhance the interpretability and accessibility of complex ocean data.
Track 03
Big Data Challenges in Oceanographic Research
This track addresses the challenges and opportunities presented by big data in oceanographic research. Discussions will focus on data management, storage solutions, and the integration of large-scale datasets for comprehensive analysis.
Track 04
Remote Sensing Applications in Oceanography
This session highlights the role of remote sensing technologies in oceanographic studies. Presentations will cover advancements in satellite and aerial data collection, as well as their applications in monitoring oceanic phenomena.
Track 05
Statistical Modeling in Oceanographic Studies
This track will delve into the application of statistical modeling techniques to interpret oceanographic data. Contributions may include case studies that demonstrate the effectiveness of various modeling approaches in understanding marine systems.
Track 06
GIS Mapping and Spatial Analysis in Oceanography
This session focuses on the use of Geographic Information Systems (GIS) for mapping and spatial analysis of oceanographic data. Participants will present methodologies that enhance spatial understanding of marine environments.
Track 07
Time-Series Analysis of Oceanographic Data
This track emphasizes the importance of time-series analysis in understanding temporal changes in oceanographic data. Contributions will explore methods for analyzing trends, cycles, and anomalies in marine datasets.
Track 08
Predictive Modeling for Oceanic Environmental Monitoring
This session will investigate predictive modeling techniques used in the monitoring of oceanic environments. Presenters are encouraged to share insights on how predictive models can inform conservation and management strategies.
Track 09
Numerical Modeling and Data Assimilation in Oceanography
This track examines the integration of numerical modeling and data assimilation techniques in oceanographic research. Discussions will focus on the development and validation of models that accurately represent ocean dynamics.
Track 10
Visualization Tools for Marine Informatics
This session showcases innovative visualization tools designed for marine informatics applications. Participants will present tools that facilitate the exploration and understanding of complex oceanographic datasets.
Track 11
Machine Learning Applications in Oceanographic Research
This track explores the application of machine learning techniques in the analysis and interpretation of oceanographic data. Contributions may include case studies demonstrating the effectiveness of machine learning in various oceanographic contexts.