International Conference on Data-Driven Optimization and Analytics Techniques (ICDDOAT-27)

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 8 Decent Work and Economic Growth

SDG 9 Industry, Innovation and Infrastructure

TRACK 01

Innovative Algorithms in Data Science

This track focuses on the development and application of novel algorithms that enhance data analysis and interpretation....

TRACK 02

Machine Learning Techniques for Predictive Analytics

This session explores the latest machine learning methodologies tailored for predictive modeling in various domains. Con...

TRACK 03

Statistical Methods for Big Data Analysis

This track aims to discuss advanced statistical techniques that address the challenges posed by large-scale data sets. P...

TRACK 04

Artificial Intelligence in Optimization Problems

This session examines the integration of artificial intelligence approaches in solving complex optimization challenges. ...

TRACK 05

Simulation Techniques in Data-Driven Research

This track highlights the role of simulation methods in validating and testing data-driven models. Submissions should fo...

TRACK 06

Quantitative Methods in Business Analytics

This session is dedicated to the application of quantitative methods in business contexts, emphasizing data-driven decis...

TRACK 07

Data Visualization Techniques for Enhanced Insights

This track focuses on the development of effective data visualization techniques that facilitate better understanding of...

TRACK 08

Ethics and Governance in Data Science

This session addresses the ethical considerations and governance frameworks necessary for responsible data science pract...

TRACK 09

Interdisciplinary Applications of Data-Driven Techniques

This track encourages submissions that showcase the interdisciplinary applications of data-driven optimization and analy...

TRACK 10

Real-Time Data Processing and Analytics

This session focuses on the challenges and solutions associated with real-time data processing and analytics. Contributi...

TRACK 11

Future Trends in Data Science and Optimization

This track invites discussions on emerging trends and future directions in data science and optimization techniques. Res...

Hybrid Event