International Conference on Engineering Education and Blockchain Training

ICEEBT

8th Jan – 9th Jan 2027 Florence, Italy

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Access to All Conference Sessions

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Connect with global educators & researchers

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Registration Summary

Conference ICEEBT

Date 8th Jan – 9th Jan 2027

Location Florence, Italy

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

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

01 Innovative Approaches in Engineering Education +

This track focuses on novel pedagogical strategies that enhance engineering education through the integration of blockchain technology. Participants will explore methodologies that foster critical thinking and problem-solving skills in engineering students.

SDG 4 SDG 9

02 Blockchain Applications in Predictive Modeling +

This session examines the role of blockchain in enhancing predictive modeling techniques within engineering disciplines. Researchers will present case studies and frameworks that leverage blockchain for improved accuracy and transparency in predictive analytics.

SDG 9 SDG 12

03 Supervised and Unsupervised Learning in Engineering +

This track delves into the application of supervised and unsupervised learning algorithms in engineering contexts. Discussions will highlight the effectiveness of these techniques in solving complex engineering problems.

SDG 4 SDG 9

04 Deep Learning Techniques for Engineering Solutions +

Participants will investigate the use of deep learning methodologies to address engineering challenges. This session will cover advancements in neural networks and their applications in various engineering fields.

SDG 4 SDG 9

05 Anomaly Detection in Engineering Systems +

This track focuses on the development and implementation of anomaly detection techniques in engineering systems. Participants will share insights on identifying and mitigating risks through advanced data analysis.

SDG 9 SDG 11

06 Feature Extraction and Its Impact on Engineering Education +

This session explores the significance of feature extraction in the context of engineering education and research. Attendees will discuss methods for optimizing feature selection to enhance learning outcomes.

SDG 4 SDG 8

07 Curriculum Optimization through Blockchain Integration +

This track examines how blockchain technology can be utilized to optimize engineering curricula. Participants will explore innovative frameworks that ensure curriculum relevance and adaptability to industry needs.

SDG 4 SDG 9

08 Adaptive Learning Technologies in Engineering Education +

This session focuses on the implementation of adaptive learning technologies to personalize engineering education. Discussions will highlight the benefits of tailoring educational experiences to individual student needs.

SDG 4 SDG 8

09 Workflow Automation in Engineering Practices +

Participants will explore the role of workflow automation in enhancing engineering efficiency and productivity. This track will cover tools and techniques that streamline engineering processes through automation.

SDG 9 SDG 12

10 Skill Assessment and Project-Based Learning +

This track investigates innovative approaches to skill assessment in engineering education through project-based learning. Participants will share best practices for evaluating student competencies in real-world scenarios.

SDG 4 SDG 8

11 Data Analytics and IoT Integration in Engineering +

This session focuses on the intersection of data analytics and IoT in engineering applications. Participants will discuss how these technologies can be harnessed to improve system monitoring and decision-making.

SDG 9 SDG 12