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Construction Information Technology Laboratory

 

Research Associates

   

Weiwei Chen

Dr Chen is sponsored by the OMICRON project, funded by Horizon 2020, the EU research and innovation programme. Her research project aims to develop Road Digital Twin Tools and an Intelligent Asset Management Platform to address the needs of road design, construction and maintenance processes.She has experience on digital twin research projects after PhD graduation. Her research interests include Digital Twin, Internet of Things, 3D Reconstruction, Laser Scanning, and facility management in roads, bridges, buildings and other infrastructure. Weiwei holds a doctoral degree in Civil Engineering from Hong Kong University of Science and Technology, where she was awarded the postgraduate scholarship and overseas research awards.

 

Yasmin Fathy

Dr Fathy is a research associate whose experience includes, Software Development Engineer at Genomics Analytics Group at European Bioinformatics Institute (EMBL-EBI), Research Associate in IoT and Machine Learning at Cambridge University, & a KTP Research Associate in Data Science and Machine Learning at UCL. She obtained her PhD in Electrical and Electronic Engineering from the Institute for Communication Systems (ICS) at the University of Surrey and MSc in Applied Science & Engineering from Artificial Intelligence (AI) Lab at Vrije Universiteit Brussel (VUB) in Belgium. Her research interests include machine learning, data analytics, digital twin & IoT.

 

PhD Students

Maciej Trzeciak

Mr Trzeciak is a PhD student in Engineering sponsored by BP, GeoSLAM, Laing O'Rourke, Topcon Positioning Group, and Trimble. 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 & graduated with the highest distinction. He worked both in the industry, as a structural engineer at BuroHappold Engineering in Berlin, and academia, as a research associate at the Technical University of Munich. His PhD project is focused on improving long-distance 3D mobile mapping of large-scale infrastructure assets in near real-time.

 

Yuandong Pan

Mr Pan is a PhD 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. His experieince is in artificial intelligence, particularly deep learning and image processing. His current research 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.

 

Zhiqi HU

Ms Zhiqi HU is a PhD Student in Engineering at the Construction Information Technology group of the Laing O'Rourke Centre on a Marie Sklodowska-Curie Studentship. Zhiqi holds a Bachelor’s Degree in Automation from Zhejiang University & a Master's Degree in Intelligent Building from Hong Kong University of Science and Technology, where she gained several awards including the Outstanding Student Award. Her work experience includes IT, Venture Capital, and Real Estate companies. Her research project for the PhD focuses on updating model geometry from registered point cloud and image datasets.  

 

Jialei Ding

Ms Jialei Ding is a PhD student in Infrastructure Digitalisation and Gamification at the Construction Information Technology group. Her PhD is in partnership with Loclab Gmbh in Germany and funded through the CBIM training network. Jialei's research focuses on creating geometric digital twins of existing roads using videogrammetry, in combination with game technologies. Jialei holds a BEng in Civil Engineering from The University of Edinburgh and an MSc in Transport from London Imperial College. 

 

Viktor Drobnyi

Mr Drobnyi is a PhD Student in Engineering and an ESR in the CBIM project sponsored by the Marie Skłodowska-Curie foundation. Viktor holds a Bachelor's Degree in Computer Science from Innopolis University and a Master's Degree in Informatics with a major in Computer Vision from the Technical University of Munich. He has previously worked as a computer vision engineer at RoadAR. Viktor's PhD research is focused on the automation of infrastructure object detection of buildings on raw sensor data, including point cloud data & image data. 

 

Diana Davletshina

Ms Davletshina is a PhD student within EPSRC Industrial CASE studentship at the Department of Engineering in partnership with National Highways and co-sponsored by Costain.  Diana's research focuses on automating the process of generating digital twins of roads using existing large-scale visual and spatial datasets to reduce costs and enable performance optimisation, failure prediction and future scenario modelling. Diana holds a Master's degree in Data Science from the Ludwig Maximilian University of Munich and a Bachelor's degree in Computer Science from Innopolis University. 

 

Haritha Jayasinghe

Haritha Jayasinghe is a member of the 3rd cohort of Future Infrastructure and Built Environment: Resilience in a Changing World (FIBE2) CDT, a 1+3 year MRes and PhD programme. Haritha's project is focused on the digitization of industrial facilities, and it is conducted in partnership with AVEVA and BP. This project aims to facilitate the automated creation of digital twins of industrial assets using point cloud scans, in order to assist industrial facility owners to manage operations of complex facilities. He holds a Bachelor’s Degree in Engineering from The University of Moratuwa, Sri Lanka, specializing in Computer Science & Engineering. 

 

Percy Lam

Percy Lam is an MRes + PhD student at the EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment. His PhD research focuses on the construction and maintenance of a digital twin for highway networks. Percy graduated from the University of Cambridge with MEng and MA in Civil, Structural and Environmental Engineering in 2016. His professional experience includes geotechnical and construction engineering on the expansion of the Hong Kong International Airport.  

 

Zhening Huang

Zhening Huang is a first-year PhD student at the Centre for Doctoral Training in Future Infrastructure and Built Environment, University of Cambridge. Zhening’s research focuses on using deep learning to extract High-Definition geometry information of road networks from Point Cloud and Images Data. The project is funded by Highways EnglandCostainEPSRC and is under the Digital Roads of the Future Initiative. Before that, Zhening obtained his Master of Research degree at FIBE2 CDT and Bachelor of Engineering degree at Cardiff University. His research interests lie in deep learning, 3D computer vision and their application to engineering problems.

 

Zijian Wang

Zijian Wang is a visiting PhD student at the CIT lab from April to July 2022. He is a PhD candidate at the Technion - Israel Institute of Technology and a Marie-Curie early-stage researcher in the EU CBIM project. Before that, he obtained his master’s degree in computer and machine vision from Cranfield University, where he received the Great Scholarship. His PhD research explores and tests the fundamental framework and techniques of CBIM – graph representation of BIM models and semantic enrichment for BIM graphs. Currently, he focuses on using graph neural networks (GNN) to generate relationships among BIM elements.

 

Duygu Utkucu

Duygu Utkucu is a visiting PhD student at the CIT lab from May to July 2022. She is a PhD candidate at the Technion - Israel Institute of Technology and a Marie-Curie early-stage researcher in the EU CBIM project. After earning a Bachelor of Science in Environmental Engineering from Istanbul Technical University, Duygu obtained her master’s degree in the Energy Science and Technology Programme. Her PhD research focuses to develop an ontological framework for a holistic building performance model with object relations and semantic web technologies.

Latest news

Prof Ioannis Brilakis receives two awards from European Council on Computing in Construction (EC3)

7 July 2022

Professor Ioannis Brilakis has won two European Council on Computing in Construction (EC3) awards: The Scherer Award for his outstanding service to the computing community in the context of EC3 and the Thorpe Medal in recognition of a paper that contributes to either practical or research aspects of engineering informatics disciplines in the built environment.

Future Roads Fellowship programme

3 July 2022

Another fantastic opportunity has arisen at the University of Cambridge's Department of Engineering for those interested in taking up a Post-Doctoral Fellowship as part of the Future Roads Fellowships Programme. The closing date for applications is 30 September 2022.