AI in Construction Industry

About The Course

The building and construction industry is slowly but constantly iterating and evolving, emerging new technologies such as Building Information Modelling (BIM), Digital Twins (DT), Artificial Intelligence (AI), Internet of Things (IoTs) and Smart Vision (SV), which can further enhance the efficiency, productivity, accuracy, and safety of the built environments. Especially, AI has launched Industry 4.0 (also called the fourth industrial revolution) and has had a profound influence on the transformation of the traditional construction industry practices and methods into autonomous smart systems using advanced digital technologies. In the era of building and construction industry 4.0, there will be a confluence of state-of-the-art industrial production systems, cyber-physical systems, and digital and computing technologies that can redefine building and infrastructure design, construction, operation, and maintenance while considering circularity. Industrial production systems could introduce 3D printing and assembly, prefabrication and offsite manufacturing. Cyber-physical systems could have IoTs, robots, cobots, and actuators, whilst digital and computing technologies could be embedded with BIM, AI, machine learning (ML), deep learning (DL), cloud computing, big data and data analytics, Blockchain, Virtual Reality (VR), Augmented Reality (AR), DT. Due to digital transformation, massive amounts of data will be generated, and systematic analysis of the data and predictive modelling can be used to generate innovative architectural and structural designs. These will help to improve construction and operational safety, reduce the embodied and operational energy requirements, reduce construction and operational costs, increase construction speeds, improve payback periods and enhance sustainability.

Who should attend?

The course is intended for Engineers, Operations Managers, Applied Scientists and Technologists interested in the building and construction industry which is slowly but constantly iterating and evolving, emerging new technologies such as BIM, DT, and artificial intelligence (AI) and Smart Vision (SV)

PROGRAMME (All timings are in BST (GMT +1))

Day 1

09:00 – 10:30 Lecture 1: Artificial intelligence (AI) and smart vision for building and construction 4.0
10:30 –11:00 Break 11:00 – 12:30 Lecture 2: Digital technology transformation in construction industry
12:30 – 13:00 Lunch
13:00-14:30 Lecture 3: How digital transformation drives sustainability in building construction
14:30 – 15:00 Break
15:00 – 16.30 Lecture 4: The role of Digital Twins in construction technology

Day 2

09:00 – 10:30 Lecture 5: Virtual Reality (VR) and Augmented Reality (AR) in construction industry
10:30 – 11:00 Break
11:00 – 12:30 Lecture 6: Smart buildings
12:30 – 13:00 Lunch
13:00 – 14:30 Lecture 7: Real-time control of building energy management systems
14:30 –15:00 Break
15:00 – 16:30 Lecture 8: Intelligent fault diagnosis of building operation and management

CV of Speaker

Dr. Jie Deng, Senior Lecturer, Kingston University, UK

I have an education background in HVAC or Building Services Engineering. Before joining KU as a Senior Lecturer in Built Environment in August 2023, I served as a Lecturer in Green Technology & Sustainability at the UWL, School of Computing and Engineering since June 2022. Prior to this, I went through a couple of years of postdoctoral research experience at the University of Reading (2018 – 2022) and Heriot-Watt University (2017) in the UK, with a focus on sustainable technologies in the built environment. Apart from research and academic experience in the UK, I also had a couple of years of overseas research experience, especially in solar thermal applications in buildings (Guest Researcher at Technical University of Denmark, Kgs. Lyngby, Denmark, 2015-2016; Research Assistant Professor in Chinese Academy of Sciences, Beijing, China, 2014-2016; Postdoc at Tsinghua University, Beijing, China, (2011-2013). At the end of 2016, I resigned from the Chinese Academy of Sciences and moved to the UK for a career adventure.

Duration:2 Days

Cost:£695 + Vat