Pre-Enrollment

8th September 2026

Final Paper Submission

13th September 2026

Registration Deadline

23rd September`2026

Conference Date

8th Oct - 9th Oct 2026

Call for Papers

The International Conference on Digital Twins and Machine Learning 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 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
Digital Twins In Predictive Maintenance
02
Machine Learning For Virtual Modeling
03
Applications Of Digital Twins In Engineering
04
Data Integration For Digital Twin Systems
05
Real-time Simulations Using Digital Twins
06
Challenges In Creating Digital Twins
07
Impact Of Digital Twins On Industry 4.0
08
Ai-driven Insights From Digital Twins
09
Case Studies Of Digital Twin Implementations
10
Interoperability Of Digital Twin Technologies
11
Digital Twins For Asset Management
12
Machine Learning Algorithms For Digital Twins
13
Future Trends In Digital Twin Technology
14
Digital Twins In Smart Cities
15
Ethical Considerations In Digital Twin Usage
16
Scalability Of Digital Twin Solutions
17
Digital Twins For Environmental Monitoring
18
User Experience In Digital Twin Applications
19
Data Security In Digital Twin Systems
20
Machine Learning For Enhanced Digital Twins
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