Pre-Enrollment

15th November 2026

Final Paper Submission

20th November 2026

Registration Deadline

30th November`2026

Conference Date

15th Dec - 16th Dec 2026

Call for Papers

The International Conference on Data-Driven Structural Health Monitoring 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 Data Science, 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
Data-driven Approaches To Structural Health
02
Machine Learning For Damage Detection
03
Real-time Monitoring Of Structures
04
Challenges In Structural Health Monitoring
05
Statistical Methods For Health Assessment
06
Applications Of Shm In Civil Engineering
07
Deep Learning For Structural Data Analysis
08
Case Studies In Structural Health Monitoring
09
Impact Of Iot On Structural Health
10
Data Fusion Techniques For Shm
11
Visualization Of Structural Health Data
12
Machine Learning Algorithms For Shm
13
Future Trends In Structural Health Monitoring
14
Integration Of Diverse Data Sources
15
Ethical Considerations In Shm Applications
16
Adaptive Monitoring Strategies Using Ai
17
Collaborative Approaches To Structural Health
18
Benchmarking Shm Models
19
User Experience In Shm Applications
20
Machine Learning Frameworks For Structural Health
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