# ETLTC — International Conference on Emerging Technologies for Learning, Technology, and Computational Physical Sciences

- **Submission deadline**: 2026-11-20
- **Notification date**: 2026-12-19
- **Conference date**: 2027-01-25
- **Location**: Aizuwakamatsu, Japan
- **Conference Partner Index**: 49.2/100 (ranked #1765, confidence 0.45, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/4946

## Past editions

| Year | Deadline | Conference date | Location |
|---|---|---|---|
| 2025 | 2024-12-05 | 2025-01-21 | Fukushima, Japan |

## Call for papers

FEATURED THEMES: Theme 1 (HIGHLIGHTED THEME). Technical Communication Practices Theme 2. Intelligent Learning Technologies and Digital Transformation Theme 3. Computational Physical Sciences and Scientific Computing Theme 4. Engineering Systems, Smart Technologies, and Industrial Innovation Theme 5. Applied Physical Sciences, Sustainability, and Advanced Materials Theme 6. Emerging Digital Technologies, Data Intelligence, and Interdisciplinary Innovation CONFERENCE SCOPE: ETLTC2027 serves as an interdisciplinary forum dedicated to advancing Emerging Technologies for Learning, Technology, and Computational Physical Sciences. The conference brings together researchers, scientists, engineers, educators, industry professionals, and policymakers to explore how emerging technologies are transforming scientific research, engineering practice, and technology-enhanced learning. The conference particularly welcomes contributions that apply computational methods, artificial intelligence, machine learning, scientific computing, modelling and simulation, digital twins, high-performance computing, and data-driven technologies to address challenges in the physical sciences, engineering, and related technological domains. Research that demonstrates the integration of innovative technologies with scientific discovery, industrial applications, sustainability, and advanced learning environments is especially encouraged. By fostering interdisciplinary collaboration across computational physical sciences, engineering, emerging technologies, and learning systems, ETLTC2027 aims to accelerate innovation, promote scientific excellence, and support the development of intelligent solutions that address contemporary global challenges and shape the future of science and technology.

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## Related journals

- Physical Communication — https://www.myhuiban.com/journal/420
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Source: Conference Partner — https://www.myhuiban.com/conference/4946 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)