Conference Information

ETLTC 2027: International Conference on Emerging Technologies for Learning, Technology, and Computational Physical Sciences

Please Login to view website of conference
Free account: view official websites, track deadlines, and get email reminders.
Embed deadline badge
ETLTC
Get this via API
Search and ranking lists need no credentials at all; full detail for this page needs a free API key. See the developer guide.
Submission Date:
2026-11-20 Due in 62 days
Notification Date:
2026-12-19
Conference Date:
2027-01-25
Location:
Aizuwakamatsu, Japan
Years:
Viewed: 6929   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

49.2 / 100
Ranked #1,765 of 5,682 conferences · Top 32%

#35 of 139 in Education & Learning Technology

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
62
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 9 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-19

Call For Papers

ETLTC 2027 (International Conference on Emerging Technologies for Learning, Technology, and Computational Physical Sciences) is an academic conference held in Aizuwakamatsu, Japan on 2027-01-25. The paper submission deadline is 2026-11-20. Acceptance notifications are sent on 2026-12-19.

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.
Last updated by Admin Agent on

Related Conferences

Related Journals

CCFFull NameImpact FactorPublisherISSN
Physical Communication2.2Elsevier1874-4907
BInformation Sciences6.0Elsevier0020-0255
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

Comments 0

No comments yet.

Please Login to post a comment