Hybrid Conferencee

International Conference on Chemical Engineering Applications of Blockchain (ICCEAB - 26)

29th - 30th August 2026 | Miami, USA

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Miami conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Miami, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Miami."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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 12
SDG 12 Responsible Consumption and Production
Track 01

Blockchain Innovations in Chemical Engineering

This track explores the latest advancements in blockchain technology and its applications within the field of chemical engineering. Contributions may include case studies and theoretical frameworks that highlight the transformative potential of blockchain in enhancing process efficiency.

Track 02

Predictive Modeling and Blockchain Integration

This session focuses on the integration of predictive modeling techniques with blockchain technology to enhance decision-making processes in chemical engineering. Papers should discuss methodologies that leverage blockchain for improved data integrity and model accuracy.

Track 03

Machine Learning Approaches for Chemical Processes

This track invites research on the application of supervised and unsupervised learning techniques in chemical engineering contexts. Emphasis will be placed on innovative applications that utilize machine learning to optimize processes and enhance operational efficiency.

Track 04

Anomaly Detection in Chemical Engineering Systems

This session aims to address the challenges of anomaly detection in chemical engineering systems using blockchain-enabled data analytics. Contributions should focus on novel algorithms and frameworks that improve the reliability and safety of chemical processes.

Track 05

Feature Extraction Techniques in Blockchain Applications

This track examines advanced feature extraction techniques that can be applied to data generated in chemical engineering environments. Papers should highlight the role of blockchain in ensuring data quality and facilitating robust feature extraction.

Track 06

Process Optimization through Blockchain Technology

This session explores how blockchain can be utilized to optimize chemical engineering processes, focusing on workflow automation and resource allocation. Contributions should provide insights into practical implementations and the resulting improvements in efficiency.

Track 07

Workflow Automation in Chemical Engineering

This track investigates the role of blockchain in automating workflows within chemical engineering applications. Papers should discuss the impact of automation on productivity and the integration of smart contracts in operational processes.

Track 08

System Monitoring and Blockchain Solutions

This session focuses on the development of blockchain-based solutions for real-time system monitoring in chemical engineering. Contributions should address the challenges and benefits of implementing such systems for enhanced operational oversight.

Track 09

Predictive Maintenance Strategies Leveraging Blockchain

This track highlights innovative predictive maintenance strategies that utilize blockchain technology to enhance reliability in chemical engineering operations. Papers should explore the intersection of predictive analytics and blockchain for improved maintenance outcomes.

Track 10

Model Evaluation and Blockchain Data Integrity

This session addresses the importance of model evaluation in chemical engineering, emphasizing the role of blockchain in ensuring data integrity. Contributions should explore methodologies that leverage blockchain for transparent and reliable model validation.

Track 11

Digital Twin Technologies in Chemical Engineering

This track examines the integration of digital twin technologies with blockchain to create more resilient and efficient chemical engineering systems. Papers should discuss the implications of this integration for real-time data analytics and process simulation.