Hybrid Conference (In Person / Virtual)

International Conference on Structural Health Monitoring and Blockchain (ICSHMB - 27)
11th - 12th February 2027 , Torun, Poland
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  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Torun. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Torun conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Torun and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

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 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 11 SDG 11 — Sustainable Cities and Communities
SDG 12 SDG 12 — Responsible Consumption and Production
Session Tracks
Track 01
Innovations in Structural Health Monitoring

This track focuses on the latest advancements in structural health monitoring technologies. It aims to explore novel methodologies for assessing structural integrity using sensor data and predictive modeling.

Track 02
Blockchain Applications in Civil Engineering

This session will delve into the integration of blockchain technology within civil engineering practices. Participants will discuss how blockchain can enhance transparency, security, and efficiency in project management.

Track 03
Predictive Modeling Techniques for Structural Integrity

This track emphasizes the role of predictive modeling in assessing and maintaining structural integrity. Researchers will present their findings on supervised and unsupervised learning approaches for anomaly detection.

Track 04
Deep Learning Approaches in Structural Monitoring

This session will highlight the application of deep learning techniques in the field of structural health monitoring. Discussions will include feature extraction and real-time data analysis for improved decision-making.

Track 05
IoT Integration for Enhanced Monitoring Systems

This track will explore the integration of Internet of Things (IoT) technologies in structural health monitoring systems. Participants will examine how IoT can facilitate real-time monitoring and data collection for predictive maintenance.

Track 06
Risk Assessment and Management in Engineering

This session will focus on methodologies for risk assessment in engineering projects. Researchers will present innovative models for evaluating risks associated with structural failures and maintenance strategies.

Track 07
Workflow Automation in Structural Health Monitoring

This track will discuss the automation of workflows in structural health monitoring processes. Participants will explore the benefits of automation in enhancing efficiency and accuracy in data analysis.

Track 08
Digital Twin Technologies in Civil Engineering

This session will investigate the use of digital twin technologies for real-time monitoring and simulation of structural systems. The focus will be on how digital twins can improve asset tracking and maintenance strategies.

Track 09
Model Evaluation and Optimization Techniques

This track will address the evaluation and optimization of predictive models used in structural health monitoring. Researchers will share insights on best practices for model validation and performance assessment.

Track 10
Anomaly Detection in Structural Systems

This session will focus on techniques for detecting anomalies in structural health data. Participants will discuss various methodologies, including machine learning approaches, for identifying potential structural issues.

Track 11
Asset Tracking and Management through Blockchain

This track will explore the role of blockchain technology in asset tracking and management within civil engineering. Discussions will focus on how blockchain can enhance accountability and traceability in asset management.

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