Call for papers

The 9th International Conference on ICT Integration in Technical Education and Applied Physical Sciences (ETLTC2027)

Emerging Technologies for Learning, Technology, and Computational Physical Sciences

The Organizing Committee cordially invites researchers, scientists, engineers, educators, industry professionals, practitioners, and postgraduate students to submit original research papers to ETLTC2027. The conference provides an international platform for presenting innovative research and fostering interdisciplinary collaboration in emerging technologies, computational physical sciences, engineering, and intelligent learning systems.

ETLTC2027 aims to promote scientific and technological innovation by bringing together experts from academia, industry, government, and research institutions to discuss recent advances that integrate digital technologies with engineering, scientific discovery, and technology-enhanced learning. The conference particularly welcomes research that demonstrates how computational methods, artificial intelligence, scientific computing, modelling and simulation, and data-driven technologies contribute to solving challenges in the physical sciences, engineering, and related technological fields.

Conference Themes

Theme 1. Intelligent Learning Technologies and Digital Transformation

This theme explores innovative technologies that transform learning, technical training, and workforce development through intelligent digital systems.

Topics of interest include, but are not limited to:

• Artificial intelligence in learning and education

• Adaptive and personalized learning systems

• Educational technologies and e-learning

• Learning analytics and educational data mining

• Virtual, augmented, and mixed reality for learning

• Digital assessment and competency-based learning

• Technical and vocational education and training (TVET)

• Smart classrooms and digital campuses

• Remote and virtual laboratories

• Human-centered learning technologies

• Professional development and lifelong learning

• Digital transformation in education and training

Theme 2. Computational Physical Sciences and Scientific Computing

This theme focuses on computational approaches that support scientific discovery and technological advancement across the physical sciences.

Topics of interest include, but are not limited to:

• Computational physics

• Computational chemistry

• Computational materials science

• Scientific computing

• Mathematical and numerical modelling

• High-performance computing

• Computational fluid dynamics

• Molecular modelling and simulation

• Digital twins for scientific applications

• Scientific visualization

• Quantum computing for scientific research

• AI and machine learning for scientific discovery

• Data-driven scientific research

• Computational electromagnetics

• Multiphysics simulation

Theme 3. Engineering Systems, Smart Technologies, and Industrial Innovation

This theme highlights emerging engineering solutions that integrate intelligent technologies with industrial and manufacturing systems.

Topics of interest include, but are not limited to:

• Industry 4.0 and Industry 5.0

• Smart manufacturing

• Intelligent automation

• Robotics and autonomous systems

• Mechatronics

• Cyber-physical systems

• Internet of Things (IoT)

• Embedded systems

• Intelligent control systems

• Sensors and instrumentation

• Additive manufacturing

• Digital engineering

• Predictive maintenance

• Engineering optimization

• Industrial digital transformation

Theme 4. Applied Physical Sciences, Sustainability, and Advanced Materials

This theme encourages research addressing scientific and engineering challenges through innovations in the applied physical sciences and sustainable technologies.

Topics of interest include, but are not limited to:

• Materials science and engineering

• Advanced functional materials

• Nanotechnology

• Renewable and sustainable energy

• Smart energy systems

• Battery technologies and energy storage

• Environmental science and monitoring

• Climate technologies

• Green engineering

• Applied chemistry

• Photonics and optics

• Semiconductor science and technology

• Surface science

• Sustainable manufacturing

• Environmental modelling and resource management

Theme 5. Emerging Digital Technologies, Data Intelligence, and Interdisciplinary Innovation

This theme promotes interdisciplinary research that applies emerging digital technologies to scientific, engineering, and societal challenges.

Topics of interest include, but are not limited to:

• Artificial intelligence for engineering and scientific applications

• Machine learning in physical systems

• Data science and big data analytics

• Computer vision for scientific and industrial applications

• Intelligent sensing technologies

• Edge and cloud computing

• Digital twins

• Blockchain for engineering and scientific systems

• Smart cities and intelligent infrastructure

• Autonomous systems

• Cybersecurity for industrial systems

• Human-AI collaboration

• Innovation management and technology commercialization

• Ethics, governance, and responsible innovation

• Interdisciplinary technology integration

Submission Categories

Authors are invited to submit:

• Original research papers

• Applied research and case studies

• Experimental and computational studies

• Engineering design and technological innovation papers

• Educational research related to intelligent learning technologies

• Industrial applications and best practices

• Interdisciplinary research integrating emerging technologies with engineering and the applied physical sciences

Publication

Accepted papers will undergo peer review by the Technical Program Committee. Papers accepted for presentation may be considered for publication in appropriate Scopus-indexed conference proceedings, subject to compliance with publisher policies, editorial review, formatting requirements, and scope alignment.

Authors are encouraged to ensure that submissions clearly demonstrate their scientific, engineering, or technological contributions, particularly where computational methods, artificial intelligence, or digital technologies are applied to problems in the physical sciences or engineering.

The Organizing Committee looks forward to welcoming high-quality contributions from researchers around the world that advance innovation, interdisciplinary collaboration, and scientific excellence in emerging technologies, computational physical sciences, and engineering.

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