AI-CEA 2026 Guidelines

PROGRAMME

Artificial Intelligence in Civil Engineering & Architecture (AI-CEA 2026)

INNOVATE • COLLABORATE • TRANSFORM

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INTRODUCTION

AI-CEA 2026 is a premier international innovation competition that brings together students, researchers, academics, and industry professionals to showcase cutting-edge AI applications in civil engineering and architecture.

The competition promotes AI-driven solutions to real-world challenges in the built environment, including intelligent design, smart construction, infrastructure monitoring, predictive maintenance, BIM, and sustainable development.

Join us to present impactful innovations with strong technical excellence, practical applicability, and the potential to transform the future of civil engineering and architecture.

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ELIGIBILITY & TEAM COMPOSITION

• The competition is open to primary school, secondary school, undergraduate students, postgraduate students, researchers, academics, and early-career professionals from Civil Engineering, Architecture, and related disciplines.

• Multidisciplinary teams combining expertise in Construction Management, Building Technology, Computer Science, Artificial Intelligence, Data Science, and other relevant fields are strongly encouraged.

• Teams may consist of 1 to 5 members.

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SUBMISSION COMPONENTS

a) Technical Poster

b) PowerPoint Presentation

Poster and PowerPoint should clearly present:

• Title

• Background

• Problem Statement

• Objectives

• Methodology

• AI Model / Framework

• Results

• Innovation Highlights

• Conclusion

• Future Work

• References (if applicable)

c) Demonstration Video

Video demonstrating a working AI model/prototype (Optional but recommended)

 

COMPETITION FOCUS AREAS 

Civil Engineering

• Structural Engineering

• Geotechnical Engineering

• Transportation Engineering

• Water Resources Engineering

• Construction Management

• Smart Infrastructure

• Structural Health Monitoring

• Predictive Maintenance

• Pavement Management

• Intelligent Construction

• Infrastructure Inspection using AI

• Building Information Modelling (BIM)

Architecture

• Generative Architectural Design

• Smart Building Systems

• Sustainable Building Design

• Energy-efficient Buildings

• Digital Architecture

• Parametric Design

• Urban Analytics

• AI-assisted Space Planning

• Heritage Conservation using AI

Artificial Intelligence Technologies

• Machine Learning

• Deep Learning

• Computer Vision

• Reinforcement Learning

• Natural Language Processing

• Large Language Models (LLMs)

• Generative AI

• Digital Twins

• Explainable AI

• Edge AI

• Physics-Informed Machine Learning