International Conference on Transfer Learning and Data Science
(ICTLDS-26)

14th Nov - 15th Nov 2026,
Seoul, South Korea

Join as Attendee Submit Your Abstract/Paper

Complete Registration → Browse conference registration categories.
Quality articles will be published in well reputed journals like Scopus Indexed or Web of Science **

Pre-Enrollment

15th October 2026

Final Paper Submission

20th October 2026

Registration Deadline

30th October`2026

Conference Date

14th Nov - 15th Nov 2026

Call for Papers

The International Conference on Transfer Learning and Data Science invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Artificial Intelligence,Data Science,Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Transfer Learning Techniques In Data Science
02
Applications Of Transfer Learning In Healthcare
03
Data Augmentation Methods For Transfer Learning
04
Challenges In Transfer Learning For Big Data
05
Domain Adaptation Strategies In Transfer Learning
06
Evaluating Transfer Learning Performance Metrics
07
Transfer Learning For Natural Language Processing
08
Case Studies In Transfer Learning Applications
09
Ethical Considerations In Transfer Learning
10
Transfer Learning In Computer Vision Tasks
11
Real-time Data Processing With Transfer Learning
12
Cross-domain Transfer Learning Methodologies
13
Transfer Learning For Time-series Data Analysis
14
Impact Of Transfer Learning On Model Robustness
15
Transfer Learning In Financial Data Analysis
16
Future Trends In Transfer Learning Research
17
Collaborative Transfer Learning Frameworks
18
Transfer Learning For Iot Data Applications
19
Interdisciplinary Approaches To Transfer Learning
20
Transfer Learning In Social Media Analytics
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All submissions undergo a rigorous peer-review process conducted by subject matter experts to ensure originality and technical quality. Accepted papers will be considered for publication in reputed journals and conference proceedings.

Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review