Keynote Speakers

Prof. José M. Adam

Professor of Construction Engineering, Universitat Politècnica de València, Spain

“Computational models validated with large scale experimental testing for resilient structures”
José M. Adam is Professor at the Universitat Politècnica de València – UPV, where he is engaged in teaching in the Civil Engineering School and the Department of Construction Engineering. He is the chair of Building Resilient, an ICITECH research group at UPV. Prof. Adam is a founding partner of the spin-off company Calsens, Editor-in-Chief of Construction and Building Materials, and holder of an ERC Grant for the amount of €2.5 million. 

Prof. Adam and his team perform research in the fields of structural engineering and construction. His research aims to improve the resilience of buildings and bridges, for which he mainly works in two areas: structural assessment and structural robustness. Prof. Adam´s research has always been associated with ambitious experimental campaigns, including many on full-scale structures. He combines basic and applied research with a high degree of transfer to industry.

Prof. André Borrmann

Chair of Computational Modelling and Simulation, Technische Universität München, Germany

“AI for the built environment: Rich and manifold applications”
André Borrmann studied Civil engineering at the Bauhaus University Weimar. He received his doctorate in the field of Construction informatics from the Technical University of Munich (TUM) in 2007. Since 2011, he has been heading the Chair of Computational Modeling and Simulation at TUM and has been the spokesperson of the Leonhard Obermeyer Center of Digital Methods for the Built Environment since 2013. Prof. Borrmann is the coauthor of more than 250 peer-reviewed publications and has received several international awards for his research work.

Prof. Borrmann’s main research fields are on the one hand the fundamental technologies of Building Information Modeling (BIM) covering all its facets from geometry processing over data management to semantic reasoning, and on the other hand, the application of Artificial Intelligence to Built Environment problems, using techniques such image recognition and point cloud processing to create information-rich digital twins of existing assets, as well as predictive modeling, natural language processing and pedestrian flow prediction to assist the design process.

M.Sc. H.C. (Jeroen) Borst

Cluster Manager Societal Impact for Accessibility and Liveability at Netherlands Organization for Applied Research (TNO)

“Digital Twins for Liveable and Resilient Cities”
Jeroen Borst M.Sc. is heading the research on “Liveable and Resilient Cities” in the unit Mobility and Built Environment of TNO: Netherlands Organization for Applied Research. With 25 years of experience in the field, his mission is to support public and private sector, using Digital Twins, to manage the transitions in mobility Digitalization, Automation and Electrification to meet societal goals: Accessibility, Liveability, Resilience, Sustainability and Inclusiveness. Jeroen and his team have experience in the application of this technology in cities around the world.

Combining knowledge on transportation, environment (air quality, noise), energy, resilience and well-being into simulation models. Definition of indicators to facilitate integral policy support. Application of Geo information and enabling (ICT) technologies to build and apply Digital Twins in an Urban context and enhance the applicability of simulation models for decision makers. Use of (generative) AI to support the next generation of decision support tools.

Dr. Frédéric Bosché, HEA Fellow

Reader in Construction Informatics, The University of Edinburgh, Scotland

“3D Reality Capture for Digital Twinning in the Built Environment: Examples in the Infrastructure and Building Sectors”
Frédéric is Reader in Construction Informatics and leads the CyberBuild Lab in the School of Engineering at the University of Edinburgh. He has published over 100 peer-reviewed papers, and received international research and innovation awards, including the IAARC Tucker-Hasegawa Award in 2018. He is Associate Editor of Automation in Construction and Past President of the International Association for Automation and Robotics in Construction (IAARC).

Frédéric’s research interests are principally related to the development and application of new digital solutions to support project and asset management, with current focus on: (1) Acquisition and Processing of reality capture data to support construction and life cycle management (scan-to-BIM, scan-vs-BIM/DT); (2) XR technology, to support enhance on-site construction works; (3) OpenBIM, Linked Data and ICT for information management, principally in relation to the previous two areas.

Prof. Eleni Chatzi

Chair of Structural Mechanics & Monitoring, ETH Zürich, Switzerland

“Physics Enhanced Learning Models for Real Time Digital Twinning”
Eleni Chatzi is the Chair of Structural Mechanics and Monitoring in the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. She serves as current Vice Chair of the European Academy of Wind Energy and chair of the Swiss branch of the ECCOMAS. Her work in the domain of self-aware infrastructure was recognized with the 2020 Walter L. Huber Research prize, awarded by the ASCE and the EASD Junior Research Prize in the area of Computational Structural Dynamics.

Her research interests include the fields of Structural Health Monitoring (SHM), hybrid modelling and data-driven assessment of engineered systems. In this talk she will offer a view to fusing data and models via physics-enhanced machine learning schemes for modelling dynamical systems. The talk will discuss the spectrum of such schemes as this unfolds from white to grey to black-box representations, which pose different requirements in terms of availability of physics and data.

Dr. Tianzhen Hong

Senior Scientist, Lawrence Berkeley National Laboratory, USA

“Decarbonizing city building stocks: opportunities and challenges”
Tianzhen Hong is a Senior Scientist and Deputy of Research for the Building Technology and Urban Systems Division of Lawrence Berkeley National Laboratory. He is an IBPSA Fellow, ASHRAE Fellow, and a Highly Cited Researcher since 2021. He has 30 years of industry and research experience in building simulation, energy efficiency, decarbonization, climate resilience, and occupant behavior. He received two R&D 100 awards, and B.Eng. and Ph.D. in building science from Tsinghua University, China.

His research employs interdisciplinary methods to explore technologies, strategies and human behaviors for planning, design and operation of energy efficient, demand flexible, and climate resilient buildings, considering their interactions with urban microclimate. He integrated physics-based urban building energy modeling with AI and machine learning techniques to identify and evaluate mitigation and adaptation strategies for decarbonizing city building stocks while achieving climate sustainability.

Prof. Davide Scaramuzza

Director of the Robotics and Perception Group, University of Zurich, Switzerland

“Autonomous Vision-based Drone: from Images to Event Cameras”
Davide Scaramuzza is a Professor of robotics at the University of Zurich, where he works on autonomous navigation of microdrones. He pioneered vision-based navigation of drones, which inspired the NASA Mars helicopter. In 2022, his team demonstrated that an AI-controlled, vision-based drone could outperform the world champions of drone racing, a result that was published in Nature. He co-founded Zurich-Eye, today Meta Zurich, which developed the world-leading virtual-reality headset, Oculus Quest. He was featured in The New York Times, The Economist, and Forbes.

His research focuses on autonomous, agile microdrone navigation using standard and event-based cameras. He pioneered autonomous, vision-based navigation of drones, which inspired the navigation algorithm of the NASA Mars helicopter and many drone companies. He made major contributions to visual-inertial state estimation, vision-based agile navigation of microdrones, and low-latency, robust perception with event cameras, which were transferred to many products, from drones to automobiles, cameras, AR/VR headsets, and mobile devices.

Schedule

Time (CET)July 1stJuly 2ndJuly 3rdJuly 4thJuly 5th
9:15-10:00General opening / KeynoteKeynoteOpening EG-ICE keynoteKeynoteKeynote
10:00-10:45Sessions 3D GeoInfoSessions 3D GeoInfoJoint Sessions 3D GeoInfo / EG-ICESessions EG-ICESessions EG-ICE
10:45-11:15Coffee break
11:15-12:00Sessions 3D GeoInfoSessions 3D GeoInfoJoint Sessions 3D GeoInfo / EG-ICESessions EG-ICESessions EG-ICE
12:00-12:45Sessions 3D GeoInfoSessions 3D GeoInfoJoint Sessions 3D GeoInfo / EG-ICESessions EG-ICESessions EG-ICE
12:45-13:30Lunch
13:30-14:15KeynoteKeynoteKeynoteKeynote

Sessions EG-ICE

General Closing

14:15-15:30Sessions 3D GeoInfoSessions 3D GeoInfoJoint Sessions 3D GeoInfo / EG-ICESessions EG-ICE 
15:30-16:00Coffee break
16:00-16:45Sessions 3D GeoInfoSessions 3D GeoInfo3D Geoinfo ClosingSessions EG-ICE 
SOCIAL EVENTSWelcome ReceptionSocial Dinner 1Social EventSocial Dinner 2