Hybrid Conferencee

International Conference on Oceanographic Data Analysis and Visualization (ICODAV - 26)

22nd - 23rd October 2026 | Amman, Jordan

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Amman. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Amman event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Amman conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Amman, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Amman."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

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. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
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.