International Conference on Engineering Project Collaboration using Blockchain - (ICEPCB-27)


18th - 19th May, 2027 | Taichung, Taiwan

Multi-format (In-person/Virtual)

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Important Dates

Pre-registration Deadline

18th April, 2027

Paper Submission Deadline

23rd April, 2027

Last Date Of Registration

3rd May, 2027

Date Of Conference

18th - 19th May, 2027

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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
SDG 12 SDG 12 — Responsible Consumption and Production
SDG 16 SDG 16 — Peace, Justice and Strong Institutions
SDG 17 SDG 17 — Partnerships for the Goals
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All Session Tracks

Track 01
Blockchain Innovations in Engineering Project Management

This track explores the transformative impact of blockchain technology on engineering project management practices. It aims to discuss innovative applications that enhance transparency, accountability, and efficiency in project workflows.

Track 02
Predictive Modeling Techniques for Engineering Projects

This session focuses on the development and application of predictive modeling techniques within engineering projects. Participants will examine methodologies that leverage data analytics to forecast project outcomes and optimize resource allocation.

Track 03
Deep Learning Applications in Engineering Collaboration

This track investigates the role of deep learning in enhancing collaboration among engineering teams. It will cover various use cases where deep learning algorithms facilitate communication, decision-making, and project execution.

Track 04
Anomaly Detection in Engineering Systems Using Blockchain

This session addresses the integration of blockchain technology with anomaly detection methods in engineering systems. The focus will be on identifying irregularities in project data to improve system reliability and performance.

Track 05
Feature Extraction Techniques for Engineering Data

This track delves into advanced feature extraction techniques tailored for engineering data analysis. Participants will discuss how these techniques can enhance model performance in various engineering applications.

Track 06
Workflow Automation in Engineering Projects with Blockchain

This session highlights the potential of blockchain to automate workflows in engineering projects. Discussions will center on how automation can streamline processes, reduce errors, and improve overall project efficiency.

Track 07
Risk Assessment Frameworks in Blockchain-Enabled Projects

This track examines risk assessment frameworks specifically designed for blockchain-enabled engineering projects. Participants will explore methodologies for identifying, analyzing, and mitigating risks associated with blockchain implementation.

Track 08
Industrial IoT and Blockchain for Asset Tracking

This session focuses on the convergence of Industrial IoT and blockchain technologies for effective asset tracking in engineering projects. Discussions will cover the benefits and challenges of integrating these technologies to enhance asset management.

Track 09
Collaboration Analytics in Engineering Projects

This track investigates the use of collaboration analytics to improve teamwork and project outcomes in engineering. Participants will explore analytical tools and techniques that facilitate better communication and collaboration among project stakeholders.

Track 10
Smart Contracts in Engineering Project Execution

This session explores the application of smart contracts in the execution of engineering projects. Discussions will focus on how smart contracts can automate agreements and enhance trust among project participants.

Track 11
Digital Twin Technologies in Engineering Project Collaboration

This track examines the role of digital twin technologies in facilitating collaboration within engineering projects. Participants will discuss how digital twins can provide real-time insights and improve decision-making throughout the project lifecycle.