Important Dates
Early Bird Registration :18th January 2027
Paper Submission Deadline :23rd January 2027
Last Date of Registration : 2nd February 2027
Date of Conference : 17th - 18th February 2027
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 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
Track 01
Predictive Modeling in Engineering Applications
This track focuses on the development and application of predictive modeling techniques in engineering contexts. Emphasis will be placed on methodologies that leverage blockchain technology to enhance model accuracy and reliability.
Track 02
Supervised and Unsupervised Learning in Data Analytics
This session explores the use of supervised and unsupervised learning techniques for data analytics in engineering. Participants will discuss the integration of blockchain to ensure data integrity and facilitate model training.
Track 03
Deep Learning Techniques for Engineering Challenges
This track examines the application of deep learning algorithms to solve complex engineering problems. The role of blockchain in securing data and enhancing model performance will be a key focus.
Track 04
Anomaly Detection in Industrial Systems
This session addresses the critical need for anomaly detection in engineering systems, particularly in industrial settings. Discussions will include the utilization of blockchain for real-time data verification and anomaly tracking.
Track 05
Feature Extraction and Data Preprocessing
This track delves into advanced techniques for feature extraction and data preprocessing in engineering datasets. The integration of blockchain to maintain data provenance and quality will be highlighted.
Track 06
Workflow Automation in Engineering Processes
This session focuses on the automation of engineering workflows through data analytics and blockchain technology. Participants will explore innovative solutions that streamline processes and enhance operational efficiency.
Track 07
System Monitoring and Performance Optimization
This track investigates methodologies for system monitoring and performance optimization in engineering applications. The potential of blockchain to provide transparent and tamper-proof monitoring solutions will be discussed.
Track 08
Predictive Maintenance Strategies Using Data Analytics
This session emphasizes predictive maintenance strategies that leverage data analytics and blockchain technology. Participants will share insights on improving maintenance schedules and reducing operational downtime.
Track 09
Model Evaluation and Validation Techniques
This track addresses the importance of model evaluation and validation in engineering analytics. Discussions will include the role of blockchain in ensuring the integrity of evaluation processes and results.
Track 10
Industrial IoT and Blockchain Integration
This session explores the intersection of Industrial IoT and blockchain technology in engineering applications. Participants will discuss how this integration can enhance data security and facilitate real-time analytics.
Track 11
Risk Assessment and Management in Engineering Projects
This track focuses on risk assessment and management strategies in engineering projects, utilizing data analytics and blockchain. The discussions will highlight innovative approaches to mitigate risks and enhance project outcomes.