Pre-Enrollment

19th October 2026

Final Paper Submission

24th October 2026

Registration Deadline

3rd November`2026

Conference Date

18th Nov - 19th Nov 2026

Call for Papers

The International Conference on Sensor Data Fusion 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 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
Sensor Fusion Techniques In Data Science
02
Machine Learning For Multi-sensor Data
03
Real-time Data Processing In Sensor Networks
04
Applications Of Sensor Data Fusion
05
Challenges In Sensor Data Integration
06
Statistical Methods For Sensor Fusion
07
Deep Learning For Sensor Data Analysis
08
Case Studies In Sensor Data Applications
09
Impact Of Iot On Sensor Data Fusion
10
Data Quality Assessment In Sensor Networks
11
Sensor Fusion For Autonomous Systems
12
Visualization Of Fused Sensor Data
13
Machine Learning Algorithms For Sensor Fusion
14
Future Trends In Sensor Data Technologies
15
Interdisciplinary Approaches To Sensor Fusion
16
Ethical Issues In Sensor Data Usage
17
Data-driven Decision Making With Sensors
18
Adaptive Algorithms For Sensor Fusion
19
Sensor Data Fusion In Healthcare Applications
20
Machine Learning Frameworks For Sensor Data
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