Former researchers and staff
Senior Research Associates | ||
 | Dr Stephen Green was a Research Assistant Professor at the Division of Civil Engineering of the Department of Engineering at the University of Cambridge. He led the Data Science team in the Digital Roads of the Future (DRF) initiative. Prior to this, he was a post-doctoral research associate in Institute forManufacturing (IfM), University of Cambridge. | |
 | Prof Xu was a Research Assistant Professor at the Department of Engineering at the University of Cambridge. He led the Automation and Robotics team in the Digital Roads of the Future initiative. Prior to this, he was a post-doctoral research associate in Prof Richard Buswell’s group at Loughborough University to deliver two EPSRC-funded significant projects (worth £2.2mil) that delivered the next generation of 3D Concrete Printing technology-Hybrid Concrete Printing. | |
 | Dr Kelly was a Senior Research Associate at the University of Cambridge, where he has been contributing to the Digital Roads project since June 2024. Tom is a research scientist and software engineer in subjects around graphics, machine learning, and urban environments. He does things like generative AI, procedural modelling, software engineering, and creating synthetic data. His expertise in digital and computational methodologies is backed by a prolific career in both academia and industry. | |
 | Prof Wei was a Senior Research Associate at the Division of Civil Engineering at the University of Cambridge. He led the Digital Twin team in the Digital Roads of the Future (DRF) initiative. Prior to the University of Cambridge, he was an associate professor at Dalian University of Technology, China, where he focused his research on digital twins and model- based system assurance for robotic and autonomous systems. | |
 | Professor Georgios Hadjidemetriou Professor Georgios Hadjidemetriou was a Senior Research Associate at the Department of Engineering, University of Cambridge. He led the Data Science team in the Digital Roads of the Future (DRF) initiative. Georgios obtained a PhD in Civil Engineering from the University of Cyprus, in collaboration with Georgia Institute of Technology and University of Cambridge. | |
Embedded Senior Researchers | ||
 | Dr Hussameldin Taha Abdalgadir Dr Taha. was an industrial research fellow at Costain plc based at the University of Cambridge. Hussameldin obtained his PhD in 2018 from Heriot-Watt university/Scotland/UK in civil engineering. His work focused on developing self- sensing cementitious materials which can sense damage and repair by using different extrinsic and intrinsic sensing methods. In addition, he has extensive experience in the construction industry particularly in highways construction and pavement materials. | |
Post-doctoral Fellows | ||
 | Dr Yue Xie was a Marie Curie Future Roads Fellow at the University of Cambridge, specialising in AI and multi-agent systems for future road automation. She did her Ph.D. in computer science from the University of Adelaide in 2021 and has experience as a Postdoctoral Fellow at CSIRO and the University of Adelaide. Her research spans AI, bio-inspired optimization, mining engineering, public health, and soft robotics. Her current focus is on integrating AI and information theory for vehicle-road coordination. | |
 | Dr Varun was a Marie Skłodowska-Curie Future Roads Fellow at the University of Cambridge. He obtained his joint PhD from IIT Madras, India, and UTS, Australia, where he studied the computer vision for monitoring construction projects. His research area focuses on Automation in Construction, Digital Twins, and Construction Management. | |
 | Dr Xu’s research is focused on the theme of sustainability and data science in smart construction of future roads. She completed her PhD in construction management and technology at the University of Hong Kong. Her research cover data science for construction sustainability, smart construction and facility management, construction digital transformation, human- organisation -technology fit, and human-machine augmentation in construction engineering. | |
 | Dr Abdulali completed his PhD degree with the Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea. In 2021, he joined Bio-inspired Robotics Lab in the Department of Engineering of the University of Cambridge as a research associate. In 2022, Arsen was awarded a three-year fellowship by the Future Roads program funded by the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant. | |
 | Judith Fauth was Marie-Sklodowska-Curie postdoc fellow at the University of Cambridge. Before she joined Cambridge, she was postdoctoral researcher at the Technische Universität Wien and researcher in the research project iECO at RIB Software GmbH in Germany. Judith completed several research stays abroad such as at the University of Southern California, Fraunhofer Italia, and Technion - Israel Institute of Technology. She obtained her doctorate in engineering from Bauhaus-Universität Weimar from the department of construction engineering and management in 2021. | |
 | Professor Yiming Zhang was a Maria Skłodowska-Curie Future Roads Fellow at the University of Cambridge. He received his PhD degrees in Civil Engineering at Monash University and Southeast University. Throughout his professional career, Dr Zhang has had extensive industrial experience and written more than twenty well-recognized publications regarding developing probabilistic machine-learning methods to address engineering problems from a data-driven perspective. | |
 | Professor Munkhbaatar Buuveibaatar Prof Buuveibaatar was a Marie Sklodowska-Curie Future Roads Fellow at the Division of Civil Engineering at the University of Cambridge. Prior to Cambridge, he gained substantial experience in operating and managing highway asset data and information management systems /databases as a postdoctoral researcher at the Korean Institute of Civil Engineering and Building Technology. He has particular research interests and focuses on conceptualising and implementing smart road management in the highways industry. | |
 | Dr Wang was a Research Associate working with Prof Ioannis Brilakis. His role was to lead a work package for the AEGIR project, funded by the European Commission, and assisted some parts of BIM2TWIN and OMICRON projects. He is interested in computer vision and robotic technologies and the application of these technologies. His research focuses on localization, mapping, multi-sensor fusion, Nerf-based SLAM, point cloud processing, and 3D visual learning. | |
 | Professor Shuyan Liwas a research associate working with Ioannis Brilakis. She led a work package of BIM2TWIN project, funded by European Commission H2020. She was broadly interested in computer vision and machine learning. Her research focuses on representation learning, point cloud processing and transfer learning. In January 2022, she got her doctor’s degree in the Department of Automation at Tsinghua University. | |
 | Prof Chen was sponsored by the OMICRON project, funded by Horizon 2020. Her research project aimed to develop Road Digital Twin Tools and an Intelligent Asset Management Platform to address the needs of road design, construction and maintenance processes. Weiwei holds a doctoral degree in Civil Engineering from Hong Kong University of Science and Technology. | |
 | Ms Liu was a research assistant at the Construction Information Technology Laboratory of the Laing O’Rourke Centre. Her research interests lied in exploiting robotic automation and intelligent sensing technologies for infrastructure engineering. At the University of Cambridge, her research was funded by the BIM2TWIN project and focused on capturing and processing, visual data of infrastructure scenes intelligently. | |
 | Dr Hong obtained her PhD form the University of New South Wales, Australia. Her research interest lies in smart construction management. Her projects at CIT was in finding time- and risk-efficient construction method patterns from historic projects to support schedulers producing quality planning more confident and productive. | |
 | Prof Haiyan Xie joined the Construction Information Technology Laboratory in 2019. Sally investigated how scheduling information should be effectively communicated at the project and organisational level. Her research focused on Smart City, Big Data Analytics, AI in Construction and Operation, Simulation and Control, and Innovative Technology in Construction Engineering and Management. | |
 | Dr Belsky was a research associate in Laing O'Rourke Centre working with Prof Ioannis Brilakis and Prof Campbell Middleton on the Innovate UK project: Digitally Enabling the Design for Manufacture, Assembly and Maintenance of Bridges. He obtained his MSc and PhD at the Technion - Israel Institute of Technology and his research interests include Building Information Modeling (BIM), information exchanges and knowledge acquisition. | |
 | Prof Kimwas a research associate at the CIT Group of the Laing O'Rourke Centre. He worked on a project 'Digitally Enabling the Design for Manufacture, Assembly and Maintenance of Bridges' with Dr Michael Belsky, Dr Ioannis Brilakis, and Prof. Campbell Middleton. He holds a PhD Degree in Civil & Environmental Engineering from both KAIST and The Hong Kong University of Science and Technology. He was a post-doctoral researcher of Applied Engineering Institution at KAIST. | |
 | Professor Juan Manuel Davila Delgado Prof Juan Manuel Davila Delgado was a research associate at the Centre for Smart Infrastructure and Construction (CSIC) and collaborated with the CIT Laboratory of the Laing O'Rourke Centre. He obtained his PhD at Eindhoven University of Technology and his research was focused on development of open BIM standards for structural monitoring and damage assessment of existing infrastructure assets. | |
 | Dr Patraucean was a RA at the Centre for Smart Infrastructure and Construction (CSIC). Previously, she was a postdoctoral researcher at Ecole Polytechnique-Inria, Paris, collaborating with Ecole Polytechnique, Palaiseau and ENS Cachan. She obtained her PhD in Computer Science at the Institut National Polytechnique de Toulouse, France. Her research focused on shape detection and recognition in images and 3D point clouds, using probabilistic robust methods and geometric invariance. | |
 | Professor Dai worked at the CIT group from Fall 2010 until Summer 2012. His research interests were reciprocal reconstruction and recognition for as-built modelling of infrastructure. He was working on the NSF sponsored reciprocal 3D reconstruction project for modelling of construction facilities. | |
 | Professor Koch worked at the CIT group from Spring 2010 until Summer 2010. He oversaw the synthesis and validation activities of the NSF sponsored vision tracking project. In parallel, he initiated a new project on pavement condition assessment systems through machine vision. | |
PhD students | ||
 | Dr Viktor Drobnyi was a PhD Student in Engineering and an ESR in the CBIM project sponsored by the Marie Skłodowska-Curie foundation. Viktor holds a Master's Degree from the Technical University of Munich. His PhD research was focused on the automation of infrastructure object detection of buildings on raw sensor data, including point cloud data & image data. | |
 | Dr Zhqi Hu was 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 Master's Degree in Intelligent Building from Hong Kong University of Science and Technology. 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. | |
 | Dr Trzeciak was a PhD student in Engineering sponsored by BP, GeoSLAM, Laing O'Rourke, Topcon Positioning Group, and Trimble. He worked 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 focused on improving long-distance 3D mobile mapping of large-scale infrastructure assets in near real-time. | |
 | Dr Pan was a PhD doctoral candidate of Technical University of Munich under Prof Ioannis Brilakis's TUM fellowship. His expertise is in artificial intelligence, particularly deep learning and image processing. His research focused on developing robust methods for creating digital twins of the built environment using AI methods such as deep learning to interpret point cloud data. | |
 | Dr Agapaki was a PhD Candidate in Engineering sponsored by EPSRC and AVEVA and she graduated in 2020. She was a visiting scholar for a large scale centrifuge experiment at UC Davis on the same project. Her research project for her PhD focused on the generation of as-is geometric Building Information Models (BIM) of industrial facilities using novel approaches. | |
 | Dr Lu was a PhD. Candidate at the Construction Information Technology group of Laing O'Rourke and she graduated in 2019. She holds a Diplôme d'Ingénieur in Civil Engineering from National Institutes of Applied Sciences of Toulouse, France. Her research interests focus on as-is Bridge Information Modeling (BrIM) using point cloud data. | |
 | Dr Hüthwohl did his PhD at the Construction Information Technology group of the Laing O'Rourke Centre and he graduated in 2019. His research topic was on image-based automated bridge assessment based on enriched BIM models. The topic aims to assist inspection tasks on greater infrastructure elements like bridges. | |
 | Dr Eirini (Irene) Konstantinou Dr Konstantinou was a PhD candidate in the Construction Information Technology group of the Laing O'Rourke Centre. She is a civil engineer with a 5-year of professional experience in surveillance and structural engineering of steel and concrete structures. Her research project was in collaboration with Laing O'Rourke and focused in investigating the possible applications of computer vision methods in automating the measurement of labour productivity at construction sites. | |
 | Major Vick gained a PhD at the Construction Information Technology group of the Laing O’Rourke Centre at the University of Cambridge in 2018. He has 13 years of experience as a Civil Engineering Officer in the United States Air Force, where he most recently served as an Assistant Professor of Civil Engineering at the United States Air Force Academy. His research focused on the use of computer vision techniques to enhance civil infrastructure progress monitoring at remote and dangerous locations. | |
 | Dr Kopsida did her PhD at the Construction Information Technology group of the Laing O'Rourke Centre, as a Marie Curie fellow. Her research was focused on Automated Progress Monitoring using BIM & a Mobile Device in an AR Environment. The topic aimed to assist inspection and progress monitoring for interior activities in a construction project. | |
 | Dr Nguyen did her PhD at the Construction Information Technology group of the Laing O'Rourke Centre and graduated in 2017. She is a civil engineer by training with extensive knowledge and expertise within the computer vision and machine learning domains. Her research focused on collaboration with Transport for London investigating methods to detect and prevent bridge strike occurrences. | |
 | Dr Anagnostopoulos did his PhD at the Construction Information Technology group of the Laing O'Rourke Centre as a Marie Curie fellow and graduated in 2018. Ioannis graduated from the Aristotle University of Thessaloniki 2013 with a major in Transportation Engineering and Construction Management. His research focused on Object Classification using Random Forests & Contextual Reasoning for Modelling of Industrial Facilities. | |
 | Dr Radopoulou did her PhD at the Construction Information Technology group of the Laing O’Rourke Centre and graduated in 2016. She started her research at the Georgia Institute of Technology and continued it at Cambridge University. Her research topic was Pavement Condition Monitoring using a Parking Camera & Dynamic Sensor Data. She aimed to create a novel framework that is capable of automatically detecting and classifying different pavement defects. | |
 | Dr Zhang was a research assistant at the CIT group and he graduated in 2016. He was a PhD candidate at the Georgia Institute of Technology. His research was on Primitives Extraction & Bridge Component Detection in Point Cloud Data for As- Built Modelling and it was part of the NSF sponsored project "Reciprocal Reconstruction and Recognition for Modelling of Constructed Facilities". | |
 | Dr Rashidi completed his PhD at the CIT lab in 2014. His research focused on Improved Monocular Videogrammetry for Generating 3D Dense Point Clouds of Built Infrastructure. He developed algorithms for extracting key video frames, computing the absolute scale of monocular settings and filling gaps and holes on surfaces of Point Cloud Data. | |
 | Dr Fathi obtained his PhD degree at the CIT lab, University of Cambridge in 2013. His research objective was to solve the 3D reconstruction problems that occur when trying to get the 3D geometry of the built environment from a moving video system, such as low accuracy, high percentage of failures, and low utilization of the environment's intrinsic features. | |
 | Dr Jong-Su Jeon completed his PhD at the CIT lab in 2013. He developed the framework for the aftershock fragility assessment of RC building structures of the NSF-sponsored Machine Vision Enhanced Post Earthquake Inspection project. | |
 | Dr German completed her PhD at the CIT Lab in 2013. She worked on the NSF sponsored Machine Vision Enhanced Post Earthquake Inspection project. Her work focused on creating image-based automated detection algorithms of damage and damage properties on reinforced concrete columns. In addition, her work included creating a classification model of damage indices for RC columns based on this visual damage information. | |
 | Dr Park completed his PhD at the CIT lab in 2012. He focused on construction object classification from video data. His thesis focused on robust 3D tracking through multiple video region matching, and feature identification and recognition based on visual pattern recognition models. | |
 | Dr Zhu completed his PhD at the CIT lab in 2011. His research was on real-time concrete damage visual assessment for first responders. His thesis proposed a novel method that provided first responders with a crude but quick estimate of the safety of damaged structures. Now he is an Assistant Professor at Concordia University, Canada. | |
Staff | ||
 | Aimee obtained her MA British Studies at the Humboldt-Universität zu Berlin and was formerly the International Partnerships Manager at the University of Southampton in 2021 and Manager of Education and Training at the Drug Safety Research Unit in Southampton, UK, in 2022. She was the DRF Programme Coordinator. Her role coordinated and monitored the operations of the initiative as part of the management team. | |
 | Dr Ariyachandra obtained her PhD in the Construction Information Technology group at the University of Cambridge. Her research project for the PhD was focused on the Automated Generation of Geometric Digital Twins of Existing Rail Infrastructure. From July 2022 to June 2024, she was the Programme Manager of Digital Roads of the Future Initiative. She is currently a Lecturer (Assistant Professor) at the Bartlett School of Sustainable Construction (BSSC) at University College London. | |
 | Ms Sanjana Bushra worked as the DRF Programme Coordinator from July 2022 - July 2023. | |
 | Dr Anna Hajduk worked as the Programme Manager from September 2021 - May 2022 for Future Roads Programme. | |
 | Katharina KroczekMs Kroczek was Programme Manager for the Future Roads Cofund Fellowship. She is a qualified project manager having worked in a range of automotive and mobility sector roles across Europe, and most recently as a management consultant. Her experience ranges from classic IT project management to legal compliance within large scale programmes, as well as the development of new business models. | |