Prof. Timo Hartmann
Technical University of Berlin, Germany
Speaker Bio:
Timo is Professor for Systems Engineering at the TU Berlin. In his research and practical work he develops state of the art system visualization and simulation technologies and integrates these technologies with the working processes of construction, engineering, and architectural professionals. Timo believes that such a development and integration is only possible under consideration of both technical and social factors working in close collaboration with practitioners.
Timo received his Ph.D. from Stanford University where he was a student at the Center for Integrated Facility Management. He also received a Diploma in Civil Engineering and his Masters of Computational Mechanics from the Technical University Munich. His work has been published for example in Advanced Engineering Informatics, Journal of Construction Engineering and Management, Building Research and Information, Journal of Computing in Civil Engineering and ITCON. He is an assistant specialty editor for the Journal of Construction Engineering and Management and serves on the editorial board of the Open Construction & Building Technology Journal. He is also deputy editor of Construction, Engineering, and Architectural Management and Advanced Engineering Informatics. Additionally, Timo is an active reviewer for a wide range of journals including Automation in Construction and Advanced Engineering Information.
Engineering the natural and built environment: From today's knowledge into future visions
Abstract
Natural and built environment engineering is one of the main disciplines that will need to ensure quality of life in times of global warming and unprecedented urban growth. The discipline is facing challenges that requires the engineering of complex systems much faster and with much less resources as ever before. Digitizing engineering work will be a corner stone to support engineers with the upcoming tasks. In this talk I will argue, that digitization will require two mind-shifts in how engineers approach engineering design problems and how they deal with data. I will introduce these two mind-shifts arguing that both rely on the formalization of the underlying engineering challenges. I will close the talk with discussing ramifications for advanced engineering informatics science and research.
Dr Frédéric Bosché, HEA Fellow
Senior Lecturer in Construction Informatics
University of Edinburgh, UK
Speaker Bio:
Frédéric is Senior Lecturer in Construction Informatics in the School of the Engineering at the University of Edinburgh. He is the Programme Director of the MSc Leading Major Programmes. Research-wise, he is a member of the Centre for Future Infrastructure (CFI) and the Edinburgh Centre for Robotics and National Robotarium. Frédéric leads the CyberBuild Lab whose research covers two main areas:
(1) Processing of reality capture data to enhance asset construction and life cycle management (scan-to-BIM, scan-vs-BIM, digital twin)
(2) Development and use of virtual and mixed reality technology, to support collaborative and engaging design, construction and engineering works, as well as training.
Frédéric has published over 70 peer-reviewed papers in peer-reviewed journals and conferences, and his research has received a few international research and innovation awards, including the 2018 IAARC Tucker-Hasegawa Award for “distinguished contributions to the field of automation and robotics in construction”.
Frédéric is the current President of the International Association for Automation and Robotics in Construction (IAARC), and he is Associate Editor of the journal Automation in Construction (Elsevier).
Scan-to-BIM and AI for Building Renovation
Abstract
This talk will report on two on-going R&D projects that the CyberBuild Lab led by Dr Bosché is engaged in.
The first part of the talk will present the Scan-to-BIM solution being developed as part of the EU-funded BIMERR project to output models that can be directly and effectively used by the Renovation Decision Support System (RenoDSS) tool. The process involves several tools: the Scan-to-BIM tool, the BIM Management Platform, and ultimately the RenoDSS tool. The talk will present that process with some specific focus on the Scan-to-BIM tool and the different functionalities that it includes for 'structural' modelling (i.e. modelling of walls, floors and openings), MEP modelling and product property editing.
The second (shorter) part of the talk will present results from the CENSIS-funded SurveyTek project in collaboration with FixXZY. The aim of this project is to develop a machine learning-based building interior defect detection module to be integrated in a commercial app for building surveying and insurance claim app.
Jianye Ching, PhD
Distinguished Professor
Department of Civil Engineering
National Taiwan University
Speaker Bio:
Dr. Ching is Distinguished Professor in the Dept. of Civil Engineering at National Taiwan University. He obtained his PhD degree in 2002 in University of California at Berkeley. His main research interests are geotechnical risk & reliability, random fields & spatial variability, probabilistic site characterization & geotechnical data analytics.
He is Chair of TC304 (risk) in ISSMGE and Chair of Geotechnical Safety Network (GEOSNet). He is Managing Editor of Georisk, Associate Editor of Canadian Geotechnical Journal, and Editorial Board Member of Structural Safety.
Dr. Ching is the recipient of the Outstanding Research Award (2011, 2014) and the Wu-Da-Yu Award (2009) from the Ministry of Science and Technology of Taiwan. He is now the Convener of Civil & Hydraulic Engineering Program of the Ministry of Science and Technology of Taiwan.
科技部土木水利工程學門概況:計畫申請、獎項、與學術倫理
Abstract (中文演講)
Date: Monday, August 30, 2021
Time: 11:00 AM - 12:00 PM (UTC+8)
Online Google Meet, Code: evj-onxp-grb
Prof. Pin-Chao Liao
Tsinghua University (Beijing)
(Distinguished Alumnus of NCU Civil Engineering Department in 2014)
Speaker Bio:
Dr. Liao has been engaged as an Associate Professor in the Department of Construction Management, School of Civil Engineering, Tsinghua University, since 2013. For over a decade, he has been researching construction safety and corporate social responsibility, and the culmination of that research was in the launch of the M.Engr. Program in International Construction Project Management in the university in 2011. He has served as the Director of the program since 2012, with the express objective of broadening and deepening students' knowledge of contemporary issues in the leadership, strategic management, and delivery of international projects. Besides, his research encompasses the areas of Occupational Health and Safety, Ergonomics, Cognitive/Behavioral Science, Risk Analysis, and Data Analytics. He has published over 70 academic articles in reputed national and international journals and conducted several domestic and international funded projects.
A Collaborative Information Integration Framework for Construction Safety Monitoring
Abstract (中文演講)
This talk consists of Dr. Liao's collective research findings in three parts. First, systematically modeling construction hazard coupling mechanics for evaluation of safety performance. To tangibly reflect hazard coupling chains, he optimized a hazard coupling model embedded in the proposed risk assessment mechanics. Second, resolving the myth of occupation hazard recognition with a neuropsychological approach. He used real-time physiological devices (both an eye tracker and a near-infrared spectroscopy technique) to record the pupil responses and cerebral oxyhemoglobin signals during occupational hazard recognition. Combining these quantitative findings with recent research results, he extended the applicability of psychological theories and models for occupational hazard recognition, underpinning the critical foundation for human-robot collaboration. Lastly, based on the previous findings, he proposed a collaborative information integration framework for safety monitoring in construction.
Randy Schwartz, P.E.
Systems Engineering Manager - Bechtel Corporation
Speaker Bio:
Randy Schwartz is the Systems Engineering Manager for Bechtel as the Delivery Partner on the Western Sydney Airport project, formerly serving as Project Information Manager (PIM) for the project. In his current role he is responsible for design management processes and project management of interface and requirements activities. As the PIM, Randy was responsible for implementing digital engineering, information systems, and innovation. Functionally, Randy is the Australian Lead for Digital Engineering and Innovation for Bechtel’s Infrastructure Business Unit. He has been responsible for Digital Engineering (BIM), Innovation, Document Control and IS&T. Prior to coming to Australia, Randy has held various strategic and lead roles in engineering, innovation, business development and human resources.
Randy promotes and lives a culture of sustainability and collaboration in the workplace through his participation in numerous company initiatives and previous leadership roles in Employee Resource Groups. Randy holds an MBA from the Stern School of Business at NYU and a Masters of Science in Mechanical Engineering from the University of Miami (FL). Randy is a licensed Professional Engineer and is certified in Virtual Design & Construction from Stanford University.
More Than Models: How Robust Information Management Enhances Digital Delivery
Abstract
Current industry standards for Digital Engineering (BIM) deployment such as ISO19650 offer a structured approach to project engineering and delivery activities. These standards have been brought to life by technology providers like Autodesk, Bentley and Hexagon to name a few. In this session we will discuss how information management approaches can augment the standards and tools available to us as practitioners. Specifically, how establishing and maintaining core coding and classification systems and process-information mapping leads to improved workflows and reporting. We will also discuss best practices on deploying digital engineering programs within projects and organisations with a focus on right-sizing, upskilling and driving value-add outcomes.