Important Dates
Early Bird Registration :30th June 2026
Paper Submission Deadline :5th July 2026
Last Date of Registration : 15th July 2026
Date of Conference : 30th - 31st July 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 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
Track 01
Blockchain Applications in Materials Engineering
This track explores the integration of blockchain technology in materials engineering, focusing on its potential to enhance transparency and traceability in material supply chains. Papers should discuss innovative applications and case studies demonstrating the effectiveness of blockchain in material management.
Track 02
Predictive Modeling Techniques for Material Properties
This session invites contributions on predictive modeling methodologies tailored for analyzing and forecasting material properties. Emphasis will be placed on the role of machine learning and deep learning techniques in improving predictive accuracy.
Track 03
Supervised and Unsupervised Learning in Material Analysis
This track focuses on the application of supervised and unsupervised learning algorithms in the analysis of material properties and behaviors. Contributions should highlight novel approaches and their implications for materials engineering.
Track 04
Anomaly Detection in Material Manufacturing Processes
This session aims to address the challenges of anomaly detection within material manufacturing workflows. Papers should present innovative solutions utilizing machine learning and data analytics to identify and mitigate anomalies.
Track 05
Feature Extraction Techniques for Material Data
This track emphasizes the importance of feature extraction in enhancing the performance of predictive models in materials engineering. Submissions should explore novel techniques and their impact on model efficiency and accuracy.
Track 06
Workflow Automation in Materials Engineering
This session will investigate the role of automation in streamlining workflows within materials engineering. Papers should discuss the implementation of automated systems and their effects on productivity and quality assurance.
Track 07
System Monitoring and Predictive Maintenance Strategies
This track focuses on the development of system monitoring frameworks and predictive maintenance strategies in materials engineering. Contributions should highlight the integration of IoT technologies and data analytics to enhance maintenance practices.
Track 08
Model Evaluation and Validation in Materials Engineering
This session invites discussions on best practices for model evaluation and validation in the context of materials engineering applications. Papers should provide insights into metrics and methodologies that ensure model reliability and robustness.
Track 09
Industrial IoT Applications in Materials Engineering
This track explores the intersection of industrial IoT and materials engineering, focusing on how IoT technologies can optimize material usage and performance. Contributions should highlight real-world applications and case studies demonstrating IoT's impact.
Track 10
Resource Allocation and Risk Assessment in Material Projects
This session addresses the critical aspects of resource allocation and risk assessment in materials engineering projects. Papers should propose frameworks and methodologies that enhance decision-making processes in resource management.
Track 11
Digital Twin Technologies for Material Property Analysis
This track focuses on the utilization of digital twin technologies for analyzing and simulating material properties and behaviors. Contributions should explore innovative applications and the potential of digital twins in predictive analytics.