This book provides insights to the lay person as well as the experts who are actively enabling these changes in the construction industry. The book explores digital twins and robots in the construction sector, and how they are revolutionizing this field. It comprises chapters that begin with the basics before going upstream. Digital Twins are important in the planning and design of projects where, real-time simulation, visualization and data-driven decision-making are done. Furthermore, robotics play a significant role in on-site execution, thus automating construction operations, and guaranteeing accuracy and safety. The book discusses the harmony of digital twinning and robotics, showing that these two are complementary with regard to enhancing efficiencies on-site, in monitoring progress and live control.
Applications of Digital Twins and Robotics in the Construction Sector covers the current applications of these technologies and forecasts future applications, exposing readers to breakthrough innovations transforming this field. It aims inform all readers, expert or simply interested and inquisitive about digital twins and construction robots' transformation.
Dr. Syed Saad is an Engineering Lecturer at Sandwell College in the United Kingdom, with a Ph.D. from Universiti Teknologi Petronas (UTP), Malaysia and a Masters from Liverpool John Moores University, UK. He has received notable accolades, including a PMI Future 50 which recognizes top-tier professionals who demonstrate extraordinary potential to shape the future of project management across industries, outstanding research performance award from UTP and endorsements from the European Union and Honorary Consul General of the Republic of Tunisia in Pakistan. In his previous role as an Assistant Professor at CECOS University, he was awarded an outstanding research cluster head award. Dr. Saad has successfully helped over 1,500 students obtain free certifications from leading tech companies. With more than 70 published academic articles and a book on AI in Material Sciences, he serves as a professional reviewer for major journals and focuses his research on advanced civil engineering technologies such as Building Information Modeling (BIM), the Internet of Things (IoT), robotics, digital twins, and artificial intelligence. As Chief Research Officer, he has developed innovative research hierarchies and pioneered non-traditional teaching methods that emphasize student mental wellness. Additionally, he promotes professional networking through LinkedIn, empowering students to pursue international scholarships and publication opportunities while earning recognition as "LinkedIn Top Voices" and "Mendeley Research Advisors" in the region. Dr. Saad is also proficient in programming languages and tools including MATLAB, R-Studio, Python, C#, and VBA.
Kumeel Rasheed is a computer engineer by profession and has a M.Sc. degree in Project Management (Cum Laude distinction) from Bahria University, Pakistan. His research interest is in the domain of Circular Economy, Corporate Social Responsibility, Decisions Support Systems, Artificial Intelligence, Internet of Things, Industry 4.0/5.0 and Engineering Project Management. He has earned multiple certifications in IT and management from renowned leading corporations such as Microsoft, Oracle, IBM, VMware, PMI, Cisco, Salesforce, International Scrum Institute. He is accredited as MCSE, Scrum Master Professional, ESG Professional, OCI Generative AI Certified Professional, Risk Management Expert, Salesforce Certified Associate, Design Thinking Practitioner, and Cyber Ops Associate. He held the position of Research Associate at CECOS University of IT and Emerging Sciences, Pakistan, where he was honoured with the Best Research Associate Award for the academic year. Kumeel has also received appreciation and endorsement from Honorary Consul General of the Republic of Tunisia, Peshawar and Dean of the Honorary Consular Corps (KP Chapter), Pakistan, for his co-edited book 'AI in Material Science: Revolutionizing Construction in the Age of Industry 4.0', that explores AI's impact on material science within Industry 4.0, focusing on innovation and optimization in construction and fabrication. He has delivered many workshops on practical research applications and presently occupy the position of Chief Research Officer in a research cluster. He has a passion for technology and innovation and is keen to advance sustainable and transformative practices in the fields of engineering and management.
Syed Ammad is a PhD candidate in the School of Engineering and Built Environment at Griffith University, Gold Coast, Australia. He serves as a Graduate Research Assistant and Tutor at Griffith University, where he teaches Project Management Principles across the Gold Coast and Nathan campuses. His doctoral research focuses on mitigating fall-related hazards in construction, particularly during overhead work and rooftop activities. Ammad holds a master's degree in construction safety from Universiti Teknologi Petronas, Malaysia, where he also worked as a tutor and lab demonstrator. He previously served as a lecturer at CECOS University in Peshawar, Pakistan. His academic career includes publishing approximately 60 research papers as both first and co-author in prestigious journals, alongside serving as a peer reviewer for leading international publications. He co-edited the book AI in Material Science: Revolutionizing Construction in the Age of Industry 4.0, published in 2024, which explores the transformative impact of artificial intelligence on material science and construction processes within the industry 4.0 framework. His research interests encompass construction safety, fall prevention in construction, and the integration of artificial intelligence into construction management. Ammad's current work involves applying advanced technologies such as MATLAB, Python, and OpenPose for posture recognition and fall-related data collection, contributing innovative solutions to building information modeling and enhancing safety protocols within the construction industry.
