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Hybrid Event

13th - 14th June 2026 | Zurich, Switzerland

International Conference on Construction Project Management with Blockchain (ICCPMB - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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.

Why it matters

SDG 8 — Decent Work and Economic Growth
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
Explore All Session Tracks
Track 01
Blockchain Applications in Construction Project Management

This track focuses on the integration of blockchain technology in construction project management. It explores innovative applications that enhance transparency, accountability, and efficiency in project delivery.

Track 02
Predictive Modeling Techniques in Construction

This session examines the use of predictive modeling techniques to forecast project outcomes in construction management. Emphasis will be placed on methodologies that leverage historical data for improved decision-making.

Track 03
Machine Learning Approaches for Resource Allocation

This track investigates the application of supervised and unsupervised learning techniques for optimizing resource allocation in construction projects. Participants will discuss case studies that demonstrate the effectiveness of these approaches.

Track 04
Deep Learning for Anomaly Detection in Construction

This session delves into deep learning methodologies for detecting anomalies in construction processes and workflows. The focus will be on enhancing quality control and risk management through advanced data analysis.

Track 05
Workflow Optimization in Construction Projects

This track addresses strategies for workflow optimization in construction project management. It will highlight the role of blockchain and AI in streamlining processes and reducing delays.

Track 06
Project Scheduling and Risk Assessment Using Blockchain

This session explores the intersection of blockchain technology with project scheduling and risk assessment. Participants will analyze how blockchain can enhance the reliability of scheduling and risk mitigation strategies.

Track 07
IoT Integration in Construction Management

This track focuses on the integration of Internet of Things (IoT) technologies in construction management. Discussions will center on how IoT can facilitate real-time monitoring and data collection for improved project outcomes.

Track 08
Predictive Maintenance Strategies in Construction

This session examines predictive maintenance strategies enabled by blockchain and machine learning in the construction industry. The goal is to reduce downtime and enhance asset longevity through data-driven insights.

Track 09
Digital Twin Technologies in Construction Projects

This track investigates the role of digital twin technologies in enhancing construction project management. It will cover the creation and utilization of digital replicas for improved planning and execution.

Track 10
Data Security Challenges in Blockchain-Enabled Construction

This session addresses the critical issue of data security in blockchain applications within the construction sector. Participants will discuss potential vulnerabilities and strategies to safeguard sensitive project information.

Track 11
Asset Tracking Innovations in Construction Management

This track focuses on innovative asset tracking solutions enabled by blockchain and IoT technologies. It aims to enhance visibility and accountability in asset management throughout the construction lifecycle.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.