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International Conference on Asset Management in Engineering via Blockchain

ICAMEVB

30th Jul – 31st Jul 2026 San Francisco, USA

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

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10% OFF on Registration.
Use Coupon Code → EARLY10
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Terms & Condition

Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 8 SDG 9 SDG 11 SDG 12
01 Innovations in Asset Management Engineering +
This track focuses on the latest innovations in asset management engineering, emphasizing the integration of blockchain technology. Participants will explore case studies and methodologies that enhance asset tracking and management efficiency.
SDG 9 SDG 12
02 Blockchain Applications in Predictive Maintenance +
This session will delve into the applications of blockchain in predictive maintenance strategies. Researchers will present their findings on how blockchain can improve data integrity and reliability in predictive modeling.
SDG 9 SDG 11
03 Machine Learning Techniques for Asset Optimization +
This track will cover various machine learning techniques, including supervised and unsupervised learning, for optimizing asset management. Discussions will include feature extraction methods and their implications for engineering practices.
SDG 9 SDG 12
04 Anomaly Detection in Engineering Systems +
Focusing on anomaly detection, this session will highlight advanced algorithms and their applications in engineering systems. The role of blockchain in ensuring data security and integrity during anomaly detection will also be examined.
SDG 9 SDG 16
05 Workflow Automation through Blockchain Integration +
This track will explore how blockchain technology can facilitate workflow automation in engineering processes. Presentations will demonstrate the impact of automation on efficiency and resource management.
SDG 8 SDG 9
06 Digital Twin Technologies in Asset Management +
This session will investigate the role of digital twin technologies in enhancing asset management practices. Participants will discuss how blockchain can support real-time data sharing and system monitoring.
SDG 9 SDG 11
07 Risk Assessment and Management in Engineering +
This track will address risk assessment methodologies in engineering, particularly in the context of blockchain applications. The focus will be on developing robust models for evaluating risks associated with asset management.
SDG 9 SDG 16
08 Quality Assurance in Blockchain-Enabled Systems +
This session will focus on quality assurance practices within blockchain-enabled engineering systems. Researchers will present frameworks for ensuring quality and reliability in asset management processes.
SDG 9 SDG 12
09 Industrial IoT and Asset Tracking Solutions +
This track will explore the intersection of industrial IoT and blockchain for effective asset tracking solutions. Discussions will include innovative approaches to resource tracking and management.
SDG 9 SDG 12
10 Model Evaluation Techniques in Blockchain Applications +
This session will cover model evaluation techniques specifically tailored for blockchain applications in asset management. Participants will share insights on best practices for assessing model performance.
SDG 9 SDG 16
11 Data Security Challenges in Engineering Applications +
This track will address the critical challenges of data security in engineering applications utilizing blockchain technology. Discussions will focus on strategies to mitigate risks and enhance data protection.
SDG 9 SDG 16