Hybrid Conferencee

International Conference on Spatiotemporal Data Analysis in Engineering (ICSD-AE - 26)

5th - 6th December 2026 | Singapore, Singapore

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Singapore. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Singapore event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Singapore conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Singapore, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Singapore."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSD-AE aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Spatiotemporal data modeling techniques
02
Applications of GIS in engineering
03
Data fusion for spatiotemporal analysis
04
Big data challenges in spatiotemporal contexts
05
Machine learning for spatiotemporal data
06
Real-time spatiotemporal data processing
07
Visualization techniques for spatiotemporal data
08
Predictive analytics in spatiotemporal studies
09
Sensor networks for spatiotemporal data
10
Case studies in spatiotemporal engineering
11
Impact of climate change on engineering
12
Urban planning using spatiotemporal data
13
Data mining techniques for spatiotemporal data
14
Spatiotemporal data in disaster management
15
Integration of IoT in spatiotemporal analysis
16
Ethics of spatiotemporal data usage
17
Future trends in spatiotemporal engineering
18
Collaborative tools for spatiotemporal analysis
19
Spatiotemporal data in transportation systems
20
Challenges in spatiotemporal data integration