ConferenceHybrid

International Conference on Architecture, Civil Engineering & Environmental Sciences

Name: International Conference on Architecture, Civil Engineering & Environmental Sciences
Start: 2026-11-26
End: 2026-11-26

Hosted by PhD Cluster

26 November 2026
Add to calendar
Apple / Outlook (.ics)Google Calendar
Welcome to kongre.net
Events Categories News Jobs Event partners
Radisson Blu Hotel, Riyadh Convention & Exhibition Center, Riyadh, Saudi Arabia
Civil & Environmental EngineeringArchitecture & Urban PlanningEngineering & TechnologyCivil & Environmental Engineering

Let others know you'll be there. This does not register you for the event.

Welcome to kongre.net

Official website

Call for Papers

Submissions are handled by the organiser

View submission details

Key facts

International Conference on Architecture, Civil Engineering & Environmental Sciences is a conference held 26 November 2026 in Radisson Blu Hotel, Riyadh Convention & Exhibition Center, Riyadh, Saudi Arabia, organised by PhD Cluster.

Dates:: 26 November 2026
Format:: Hybrid (in person and online)
Venue:: Radisson Blu Hotel, Riyadh Convention & Exhibition Center, Riyadh, Saudi Arabia
Subjects:: Architecture & Urban Planning, Civil & Environmental Engineering
Organiser:: PhD Cluster
Official website:: phdcluster.confx.org/acees-nov26-riyadh

The International Conference on Architecture, Civil Engineering & Environmental Sciences aims to unite researchers from around the globe to share diverse experiences, exchange innovative ideas, and forge connections. The event provides a platform for updating academics and practitioners on current trends in advanced engineering and environmental sciences.

Conference theme

Architecture, Civil Engineering & Environmental Sciences

Objectives

To enhance academic cooperation and research collaboration among young and experienced researchers from different parts of the world. Update academics, researchers, postgraduates, and practitioners on current trends and developments in advanced engineering, AI/ML (Machine Learning) methodologies, and data science. Identify areas of common interests among researchers for future international collaborative research.