I am an architectural engineer with more than 15 years of experience in project management, design, and BIM management. My qualifications include a Bachelor degree in Architecture and Global BIM Manager certification from the Ziggurat Institute of Technology, a master's degree in Global BIM Management from the University of Barcelona, and an MSC in Building Information Modeling and Project Collaboration from the University of Derby, where I am currently pursuing my Ph.D. I am also a certified Project Management Professional (PMP) accredited by PMI.
Presently, I hold the esteemed position of BIM Head and Digital Transformation Lead at Bureau Veritas Middle East, where I spearhead innovative initiatives in the realms of construction technology and digital transformation. In addition to my contributions to the construction industry, I am an avid technology researcher and game developer, reflecting my passion for exploring cutting-edge advancements.
What to expect during the event
Creating a comprehensive HBIM model for ancient architectural structures necessitates the integration of various disciplines. In this context, two pivotal challenges emerge: the development of a parametric model for fundamental components that incorporates historical knowledge effectively, and the implementation of an intelligent modeling method for these components. These challenges are essential in bridging the current gap and optimizing the application of HBIM.
By adopting this semi-automatic modeling approach, we can reduce the cost and time required for manual modeling of Heritage point cloud models, thereby increasing productivity and HBIM modeling efficiency. Ultimately, the study suggests potential areas of future investigation aimed at the development of a more advanced, fully automated standalone platform for Heritage point-cloud modeling.
the integration of artificial intelligence (AI) and machine learning techniques, alongside programming languages like Python, into the modeling process.for heritage buildings
Semi-automatic modeling Approach from point cloud model