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Construction Information Technology Laboratory

 

Post-doctoral Fellow

 Dr Ying Hong

Ying received her bachelor’s degree in construction management from the Ocean University of China in 2014. She then continued her PhD research in the University of New South Wales, Australia (2015 – 2019). Her research interests include: deep learning, optimisation, building information modelling, construction management.

 

 

 

Dr Haiyan (Sally) Xie

Dr. Haiyan Xie (Sally) received a Bachelor of Science and a Master of Science in Construction Engineering and Management from Xi’an University of Architecture and Technology (XAUAT), China. She then received a Master of Science in Computer Information and Science Engineering concurrent with Design, Construction, and Planning College, University of Florida, USA as well as a PhD in Design, Construction and Planning from the University of Florida in 2005.

Sally joined the Construction Information Technology Laboratory, part of the Laing O’Rourke Centre for Construction Engineering and Technology in the University of Cambridge Department of Engineering, in August 2019 for a one-year research contract. She is a full Professor in the Department of Technology, College of Applied Science and Technology, Illinois State University (ISU). In terms of research, she has published 4 books, 3 book chapters, 28 journal articles (including 3 under review or in press), 36 conference proceedings, and multiple technical reports. She has received 25 research grants and contracts from various sources and have been invited to deliver multiple presentations.

Her recent research focuses on Smart City, Big Data Analytics, Artificial Intelligence in Construction and Operation, Simulation and Control, and Innovative Technology in Construction Engineering and Management. 

 

PhD Students

Evangelia (Eva) Agapaki

Ms. Agapaki is a Ph.D. Candidate in Engineering sponsored by EPSRC and AVEVA and she is expected to graduate in 2019. She holds a Master of Science in Civil Engineering from the University of California, Los Angeles (UCLA) where she was awarded the UCLA Graduate Division Fellowship, the UCLA Outstanding Geotechnical Graduate Student Award and grants from Caltrans for her research on soil-structure interaction of buried pipes. She was a visiting scholar for a large scale centrifuge experiment at UC Davis on the same project. Her research project for her Ph.D. is focused on the generation of as-is geometric Building Information Models (BIM) of industrial facilities using novel approaches. She is supervised by Dr Ioannis Brilakis and advised by Dr Duncan McFarlane. Eva is a member of Darwin College.
 

 

 

M.R. Mahendrini Fernando Ariyachandra

Ms. Ariyachandra is a Ph.D. Student in Engineering at the Construction Information Technology group of the Laing O'Rourke Centre sponsored by Cambridge Commonwealth European and International Trust (Cambridge Trust) and Bentley Systems (UK) Limited. She is expected to graduate in 2021. Mahendrini holds a Bachelor’s Degree in Quantity Surveying from University of Moratuwa, Sri Lanka where she was awarded Outstanding Undergraduate Research Award. She has working experience as a lecturer in University of Moratuwa, Sri Lanka. Her research project for the Ph.D. is focused on automated generation of semantically-rich BIM models of existing and under construction railways. She is supervised by Dr Ioannis Brilakis and advised by Prof Campbell Middleton. Mahendrini is a member of Lucy Cavendish College.
 

 

 

Yuandong Pan

Yuandong Pan is a Ph.D. doctoral candidate of Technical University of Munich, hired under Ioannis’s TUM fellowship. In 2015 he received his bachelor’s degree at Dalian University of Technology in China. In 2019 he received his Master’s degree in Mechanical Engineering at Karlsruhe Institute of Technology in Germany. Yuandong has a lot of experience in artificial intelligence, especially in the field of deep learning and image processing. As part of the Hans Fisher Fellowship, he is supervised by Dr Ioannis Brilakis and Prof. Andre Borrmann at TUM. The joint research activity of Dr. Brilakis and Prof. Borrmann focuses on developing robust methods for creating digital twins of the built environment using artificial intelligence methods such as deep learning to interprete point cloud data.

 

 

 

Maciej Trzeciak

Maciej Trzeciak is a PhD student in Engineering sponsored by BP, GeoSLAM, Laing O'Rourke Centre, Topcon Positioning Group, and Trimble. He is expected to graduate in 2023. Maciej holds a Bachelor’s degree in civil engineering from the Wroclaw University of Technology, Poland where he was awarded Rector’s scholarships for the best students for the whole study period consecutively and graduated with the highest distinction. He worked both in the industry, as a structural engineer at BuroHappold Engineering, and academia, as a research associate at the Technical University of Munich, being primarily involved in R&D projects in close collaboration with industry partners. His PhD project is focused on the automated registration of raw spatial and visual data of infrastructure scenes in near real-time. Maciej is supervised by Dr Ioannis Brilakis and is a member of Hughes Hall College.

 

 

 

 

Latest news

PhD studentships advertised as part of the Cloud-based Building Information Modelling (CBIM) training network

13 November 2019

The following PhD studentships are available at the University of Cambridge on the European Commission-funded, Marie Sklodowska-Curie "CBIM" European...

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