Research crew



Prof - Head of ASPARi

André Dorée was born and raised in the Netherlands. He was educated as Civil Engineer and as Industrial Engineer, and started working at the University Twente in 1989. He got his doctorate degree in 1996 and in 2000 became full professor in the Construction Management domain. His first work focused on public procurement, types of contract and client contractor relationships. Later on, this was extended to business environment, industrial relationships, market dynamics and the impact on technological innovation in the construction industry. Between 2002-2007 the business environment suddenly changed for the Dutch roadbuilding contractors. They were confronted by new types of contracts. Facing longer guarantee intervals the contractors had to raise their control over processes and quality. That need ignited the ASPARi consortium. Since then André has been leading in ASPARi. The daily lead in now gradually taken over by Seirgei Miller. André is still active within ASPARi for supervision (MSc/PDEng/PhD projects), strategy, sourcing and investments. Currently André is member of the steering committee of the National Asphalt Impulse research program, and c0-chair of the Asphalt Impulse Core team. Other functions include head of department Construction Management and Scientific Director of Dutch 4TU Center of Excellence for the Built Environment (4TU is the cooperation of the four Dutch Technical Universities). André is passionate about innovation in the construction industry and strong promotor for the use off digitalization and new technologies. Personal page>



Coordinator - Researcher

Seirgei Miller, born and raised in South Africa, undertook his doctoral research at the University of Twente in The Netherlands, where he focused on addressing challenges facing the asphalt construction industry. His PhD thesis titled “The Hot Mix Asphalt Paving Process – Towards a more professional approach” aptly describes the drive local contractors have to reduce variability in the entire asphalt supply chain and in so doing, improve quality and increase the durability of the constructed asphalt layers.

His research aims to transform the rather traditional, low-tech asphalt construction process into an advanced manufacturing process where technologies such as GPS, infrared thermography, sensors and sensor modalities are used to steer process parameters during construction. His current work focuses on the development of guided asphalt compaction strategies, real-time process control systems, the implementation of sensors such as fibre optics, RFID and other sensor modalities to measure process parameters during construction, new machine manufacturing technologies and ongoing work into reducing variability and improving quality in asphalt construction. Personal page> 




Farid was born and raised in Iran. A civil engineer by training, he opted for an academic career and did a Ph.D. in construction management and engineering in Canada. Upon the graduation in 2015, and after a brief Postdoc, Farid joined the Department of Construction Management and Engineering at the University of Twente in 2016 as an assistant professor. His main research area is Building Information Modeling and ICT in construction. He is interested in a range of topics including data analytics, operator support system, virtual reality, and simulation/visualization/optimization of construction processes. He contributes to ASPARi by supervising students and co-developing research ideas in the domain of real-time process control systems, operator training simulators, and the modernization of PQi methodology through the use of alternative data collection methods. Personal page>




Dr. Joao Santos is an Assistant Professor at the department of Construction Management and Engineering at the Faculty of Engineering Technology at the University of Twente since January 2018. He received a MSc in Civil Engineering from the Faculty of Sciences and Technology of the University of Coimbra (FCTUC), Portugal, and a PhD in Transportation Systems from the FCTUC, in association with the Technical University of Lisbon (IST) and the University of Porto (FEUP) in 2011and 2016, respectively. Before joining the UT, João Santos was a postdoctoral research fellow at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR), in Nantes. During his graduate studies, João Santos spent two years as visiting scholar at the Center for Sustainable Transportation Infrastructure (CSTI), at the Virginia Tech Transportation Institute (VTTI), USA. His main research interests are on advancing the sustainability and resilience of civil infrastructure systems. His work develops advanced mathematical tools underpinned by life cycle thinking to handle from an optimized-based perspective the assessment and design of more sustainable infrastructure management strategies. He is also interested in the use of machine learning algorithms and the statistical modelling to create predictive models that estimate: (i) the impact of rolling resistance on vehicle fuel consumption; and (ii) the infrastructure systems condition and serviceability over time, as well as the occurrence of disruptive events based on the data collected in the field or existing in databases. Personal page>

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Denis was born and raised in Russia. He holds a master's degree in Computer Engineering from Moscow State University of Railway Engineering. Starting his career as a software developer, Denis has experience in developing various solutions for security systems (eg fire protection, CCTV). After 10 years of working in the industry, Denis was inspired to apply his knowledge in civil engineering. As a result, Denis joined the ASPARi team in 2015 (Department of Construction Management and Engineering at the University of Twente) and obtained his PDEng degree designing a real-time process control system for asphalting and compaction. He is currently working on a PhD project called "Construction fleet support systems in the asphalt building sector" and is very interested in the automation of construction operations through the use of data mining and machine learning approaches. He is also consistently involved in the PQi measurements within the ASPARi network. Personal page>

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PDEng candidate

Inga Maria was born in Georgia and raised in Greece where she studied civil engineering. After working for a year as a civil engineer in Greece, she moved to the Netherlands and did her Master's in Construction Management and Engineering at the University of Twente. During her master thesis, she developed a data architecture for Lifecycle Digital Twins for bridges. Currently, she is doing a PDEng continuing her research in the field of Digital Twin, developing a framework for Lifecycle Digital Twins for infrastructure assets. The project addresses aspects of data visualization and usability, and is part of a larger research area within the ASPARi group. Personal page>

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A. L. Ruiz Robles

PhD candidate

Angie was born and raised in Colombia. She holds a master’s degree in civil engineering with emphasis on road infrastructure from Universidad de los Andes in Bogotá, Colombia. While doing her master's, she worked as a Research Assistant in the construction management group of the Department of Civil and Environmental Engineering. During this time, she conducted studies related to sustainable practices in road infrastructure projects by applying system dynamics and decision-making approaches. After her master's, she supported a research project focused on evaluating carbon abatement strategies in the Colombian social housing sector. Angie joined the University of Twente as PhD candidate in March 2021. During her PhD project, in collaboration with Rijkswaterstaat and TNO, she aims to develop a framework for the implementation and operationalization of integrated sustainability evaluation instruments in the asphalt road sector. Personal page>

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I. N. Uva

PDEng kandidaat

Ida Noemi Uva was born and raised in Italy where she pursued her Master Degree in Mechanical Engineering at University of Naples in 2019. Her master thesis focused on the development of a tool to evaluate the tire contact patch in each of its working conditions. After working for two years in an automotive company, she moved to the Netherlands, and currently, she is joining in ASPARi group doing the PDEng. The aim of her project will be focused on software development to estimate the Pavement Vehicle Interaction (PVI) effects on vehicle fuel consumption to improve the understanding and modeling of the role of the road pavements on additional vehicle fuel consumptions due to the Rolling Resistance (RR). Persoonlijke pagina>



PDEng candidate

Shen was born and raised in China where he obtained his Bachelor of Engineering degree in civil engineering in 2018. In the same year, he moved to the Netherlands and did his Master's in Construction Management and Engineering at the University of Twente. During his master thesis, he developed a machine-learning-based metamodel to streamline the design optimization process of wind turbine foundations and enable generative design. After his graduation in 2020, Shen joined the ASPARi group as a PDEng candidate. The focus of his research is coupling process quality indicators with pavement quality indicators, using data-driven techniques. Personal page>



PDEng candidate

Mohammad was born and raised in Iran. He holds a master's degree in Road and Transportation Engineering from University of Tehran. Mohammad has experience in asphalt materials and advanced pavement performance tests. After 2 years of working at Pavement Laboratory of University of Tehran, Mohammad was inspired to pursue his knowledge in pavement lifecycle. As a result, Mohammad joined the ASPARi team at the start of January 2021 (Department of Construction Management and Engineering at the University of Twente). As a PDEng student, he is working on developing an ontology for pavement lifecycle management. He is also consistently involved in the PQi measurements within the ASPARi network. Personal page>

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PhD candidate

Former researchers



PDEng kandidaat

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