Hybrid Conference (In Person / Virtual)

International Conference on Transfer Learning in Engineering Applications (ICTLEA - 27)
5th - 6th February 2027 , Boston, USA
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Boston. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Boston conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Boston and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICTLEA provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Data Science, encouraging participation from emerging researchers and fostering academic growth.

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

01
Transfer learning in engineering domains
02
Domain adaptation techniques for engineers
03
Improving model performance with transfer learning
04
Applications of transfer learning in robotics
05
Case studies in engineering transfer learning
06
Challenges in transfer learning applications
07
Transfer learning for predictive maintenance
08
Multi-task learning in engineering contexts
09
Transfer learning for sensor data analysis
10
Deep learning and transfer learning synergy
11
Cross-domain knowledge transfer methods
12
Evaluating transfer learning effectiveness
13
Real-world applications of transfer learning
14
Data scarcity solutions using transfer learning
15
Transfer learning in structural engineering
16
Ethical considerations in transfer learning
17
Transfer learning for smart manufacturing
18
Innovative architectures for transfer learning
19
Transfer learning in environmental engineering
20
Future directions in transfer learning research

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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