About the Conference
The International Conference on Sensing and Data Fusion in
Smart Infrastructure 2026 addresses the integration of sensing
technologies, IoT networks, and data fusion methodologies to
create intelligent, adaptive, and sustainable infrastructure.
This conference highlights advancements in real-time monitoring,
digital twin modeling, and predictive analytics for
infrastructure health and performance.
Participants will explore innovative approaches to enhance the safety, efficiency, and longevity of civil and industrial systems through data-driven insights.
| Time | Activity | Details |
|---|---|---|
| 08:30 – 09:00 | Registration | |
| 09:00 – 09:30 | Opening Remarks | Welcome address |
| 09:30 – 10:15 | Keynote Address |
Speaker: Karen M. von Deneen (Xidian University and University of Florida)
Topic: Computational Foundations for Next-Gen Infrastructure |
| 10:15 – 11:00 | Keynote Address |
Speaker: Muyang Ma (Shandong University)
Topic: Intelligent Auxiliary Supervision: From Smart Systems to Smart Cities |
| 11:00 – 13:00 | Lunch Break | |
| 13:00 – 13:45 | Keynote Address |
Speaker: Muhammad Ayaz (Monash University)
Topic: Computational Finance: Navigating the Intersection of AI, Blockchain, and Global Markets |
| 13:45 – 14:30 | Q & A | |
| 14:30 – 15:00 | Closing Remarks |
Title: Associate Professor
Major: Computer Science, Brain Machine Learning
Affiliation: Xidian University and University of Florida
Title: Doctor
Major: Computer Science, Information Retrieval and
Recommendation Systems
Affiliation: Shandong University
Title: Associate Professor
Major: Computer Science and Artificial Intelligence
Affiliation: Monash University
Raza Syed Ali (University of Kent, Assistant Professor)
Nafeesa Mughal (Xi'an Jiaotong University, PhD)
Muhammad Waqasi (Xi'an Jiaotong University, Assistant Professor)
QURAT UL AIN (Xi'an Jiaotong University, PhD )
All submissions will be screened and peer-reviewed by reviewers holding PhD and Doctor of Engineering degrees, as well as associate professors from universities and research institutes worldwide.
The review process adopts a double-blind peer-review policy.