The First Conference on Gen-AI in Built Environment

Conference overview

Generative Artificial Intelligence (Gen-AI) is rapidly reshaping the built environment, offering unprecedented opportunities to personalise education, streamline routine tasks, enhance creative design, and drive data-informed decision-making. From design and construction to operations and facilities management, Gen-AI has the potential to significantly boost productivity and transform professional practices. As this disruptive technology gains momentum, urgent questions arise around its ethical, technical, and pedagogical implications. How can industry adopt Gen-AI responsibly and effectively? How can educators prepare the next generation of professionals? And how can we ensure that innovation aligns with integrity and impact?

The First Conference on Gen-AI in the Built Environment responds to this moment of transformation. Co-organised by Nottingham Trent University (NTU) and the Council of Heads of the Built Environment (CHOBE), this one-day event brings together industry leaders, educators, and researchers for critical dialogue, bold ideas, and collaborative problem-solving. Join us for a dynamic programme of insightful presentations, interactive sessions, and meaningful networking. Contributions from a wide range of disciplines are welcome, encouraging cross-sector knowledge sharing and mutual learning. We believe that diverse perspectives are essential to navigating the opportunities and challenges of Gen-AI in ways that are inclusive, responsible, and forward-thinking.

Who Should Attend

This conference is ideal for:

• Industry professionals seeking insights into Gen-AI tools
• Academics and educators exploring AI-enhanced teaching
• Researchers studying AI in construction and design
• Policymakers shaping digital innovation strategies
• Technology and EdTech developers creating AI-driven solutions

Call for Proposals

We invite proposals for 15- or 30-minute presentations that align with the conference themes. Submissions from educators, researchers, and practitioners, particularly those with interdisciplinary perspectives, are welcome. Proposals should be no more than 350 words and should outline the focus and content of your presentation. Submissions typically include a clear problem statement, defined objectives, a brief summary of the work carried out, key outcomes or findings, the contribution to the field, and the broader impact or implications.

Click here to submit your proposal.

Conference Themes

Themes are categorised into three concurrent panels; however, the list is not exhaustive, and other relevant topics and proposals are also welcome.

Teaching and Learning (SoTL) Panel Themes

1. Gen-AI for Automation and Efficiency in Education

2. Gen-AI for Personalised Learning

3. Creative and Critical Thinking Through Gen-AI

4. Ethics and Responsible Use of AI in Education

5. Gen-AI Literacy for Staff and Students

6. AI-Based Teaching and Learning Strategies

7. Innovative Assessment Techniques in an AI-Driven Environment

8. Rethinking Quality Assurance in the Age of Gen-AI

Industry Panel Themes

1. AI-Driven Design and Construction Workflows

2. Optimising Operations and Facilities Management with Gen-AI

3. Customising Client and Stakeholder Engagement through Gen-AI

4. Ethical, Legal, and Contractual Implications of Gen-AI in Industry

5. Upskilling the Workforce: Gen-AI Competence in Practice

6. AI-Enhanced Sustainability

7. Gen-AI Integration and Adoption by Policymakers, Local Authorities, and Professional Bodies in the Built Environment

Research Panel Themes

1. Emerging Research on AI Applications in Construction and the Built Environment

2. Interdisciplinary Research Methodologies for Studying Gen-AI Integration

3. Gen-AI, Design Thinking, and Innovation in Research Practice

4. Digital Ethics and Research Integrity in the Age of Gen-AI

5. Evaluating the Impact of Gen-AI on Research Productivity and Collaboration

Key Dates

• Proposal Submission Deadline: 26 September 2025
• Notification of Acceptance: 10 October 2025
• Registration Deadline: 7 November 2025
• Conference Date: 28 November 2025

For queries, please get in touch with the organising team at ehsan.asnaashari@ntu.ac.uk

Co-chairs

• Dr Andrew Knight - ADBE Executive Dean
• Dr Amrit Sagoo -  Head of Construction Management Department
• Dr Ehsan Asnaashari -  Senior Lecture & Course Leader MSc Construction Management

Scientific committee (alphabetically ordered)

• Dr Amin Akhavan Tabassi, Manchester Metropolitan University
• Prof. Amin Al-habaibeh, Nottingham Trent University
• Prof. Hind Bril El Haouzi, University of Lorraine
• Prof. Richard Bull, Nottingham Trent University
• Ian Campbell Cole, Nottingham Trent University
• Prof. Ali GhaffarianHoseini, Auckland University of Technology
• Prof. Amirhosein Ghaffarianhoseini, Auckland University of Technology
• Dr Mojgan Jadidi Mardkheh, York University
• Dr Hadi Kazemi, Leeds Beckett University
• Dr Bahareh Kaveh, Nottingham Trent University
• Dr Lina Khaddour, Edinburgh Napier University
• Prof. Kerry London, Torrens University
• Dr Emmanuel Manu, Nottingham Trent University
• Prof. Benachir Medjdoub, Nottingham Trent University
• Dr Saeed Reza Mohandes, University of Manchester
• Dr Mostafa Namian, East Carolina University
• Dr Andrew Knight, Nottingham Trent University
• Professor David Oloke, NMITE
• Dr Mani Poshdar, Auckland University of Technology
• Prof. Farzad Rahimian, Teesside University
• Dr Ali Rostami, Liverpool John Moores University
• Dr Hooman Samani, University of the Arts London
• Dr Mohammad Saki, University of West London
• Dr Moslem Sheikhkhoshkar, University of Greenwich
• Dr Sara Turner, University of Nottingham
• Prof. Patricia Tzortzopoulos, Nottingham Trent University
• Dr Christina Scott-Young, RMIT University
• Dr Amrit Sagoo, Nottingham Trent University
• Prof. Song Wu, Nottingham Trent University
• Dr Yangang Xing, Nottingham Trent University

The conference fee is £150 and includes full access to all sessions and networking opportunities. Register for the event.