J.M. Oliveira dos Santos PhD (Joao)

Assistant Professor

About Me

Born in 1988, João Santos is an Assistant Professor at the department of Construction Management and Engineering at the Faculty of Engineering Technology at the University of Twente (UT) since 2018.

In 2016, João Santos completed the doctoral program in Transportation Systems provided by the Faculty of Science and Technology of the University of Coimbra (FCTUC), the Technical University of Lisbon (UTL), and the Faculty of Engineering of University of OPorto (FEUP), Portugal. During his graduate studies in Transportation Systems at the FCTUC, he spent a year and a half as visiting scholar at the Centre for Sustainable Transportation Infrastructure (CSTI), at the Virginia Tech Transportation Institute (VTTI), USA.

Prior to his position at the UT, he was a recipient of a Marie Skłodowska-Curie Post-Doctoral Fellowship working on an EU Framework 7 funded project SUPR&R ITN (www.superitn.eu), at IFSTTAR in Nantes.

He conducts research at the interface of civil engineering, operation research and environmental technology. His work develops assessment methodologies, frameworks and operation search methods, such as optimization algorithms, to handle from a data-driven and optimized-based perspective the commonly existing trade-off relationships underlying to the application of sustainability, resilience and circularity principles, when planning, designing, maintaining and operating infrastructures, transportation systems and cities.


Engineering & Materials Science
Life Cycle
Earth & Environmental Sciences
Life Cycle
Business & Economics


João Santos' research work emphasizes the development and application of advanced computational models, optimization algorithms, statistical machine learning methods, systems analysis tools and industrial ecology methods to tackle multiple and varied real-world problems and global challenges faced by today’s infrastructures, transportation systems and cities in order to promote a more sustainable future.

He is also interested in (1) investigating the impacts of climate change on pavement and urban transport systems and (2) combining machine learning and statistical models to create predictive models intended to improve the knowledge of physical and mechanical properties, characteristics and processes influencing the infrastructure and transportation systems condition and the urban environment, based on the combination of data collected in the field, existing databases and novel sensing platforms. He is particularly thrilled by the prospect of integrating modern systems models with real-world data sources in research that requires carefully applied state-of-the-art operation research and industrial ecology methods along with new theoretical insights.

The common thread that ties his research together is the concept of enhancing the frameworks, platforms and tools that decision-makers use to design and manage their systems. Whether this entails advancing the state of knowledge about (1) the impact of infrastructure, transportation systems and cities on the natural environment and (2) operation research methods or solving applied research questions regarding the enhancement of their management, the outcome is a more informed decision process that decision-makers can use to help promoting a transition towards a more sustainable future. This requires implementing new models and data to solve complex problems related to social, environmental, and economic aspects of engineered systems and make environmentally benign, cost-effective, and socially acceptable policies, all of which drive his long-term research interests.


Ruiz, A. , Santos, J. , Vinke - de Kruijf, J. , Volker, L. , & Dorée, A. (2024). Sustainable Innovation Processes in the Asphalt Paving Sector: Analysis of Actors, Interactions, and Institutions. Unpublished. In 2024 Transportation Research Board (TRB) 103rd Annual Meeting Transportation Research Board (TRB).
Asgarpour, S. , Hartmann, A., Morillas, S. , & Santos, J. (2024). Mode choice support through an integrated Delphi-fuzzy logic model. Research in Transportation Business and Management, 52, Article 101061. https://doi.org/10.1016/j.rtbm.2023.101061
Ruiz, A. , Vinke - de Kruijf, J. , Santos, J. , Volker, L. , & Doreé, A. (2023). Sustainable innovation processes in the asphalt paving sector: A system innovation approach. In A. Tutesigensi, & C. J. Neilson (Eds.), ARCOM Thirty-Ninth Annual Conference 2023: September 4-6: Proceedings (pp. 780-789). Association of Researchers in Construction Management (ARCOM). https://www.arcom.ac.uk/conf-archive-indexed.php
Pena Acosta, M. (2023). Demystifying the urban heat island phenomenon: A data-driven approach. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036558730
Vargas Farias, A. , Santos, J. , Hartmann, A., & Van der Pijl, F. (2023). A life cycle assessment framework for pavement management considering uncertainties. In F. Biondini, & D. M. Frangopol (Eds.), Life-Cycle of Structures and Infrastructure Systems: Proceedings of the Eighth International Symposium on Life-Cycle Civil Engineering (IALCCE 2023), 2-6 july, 2023, Politecnico di Milano, Milan, Italy (1 ed., pp. 965-972). CRC Press (Taylor & Francis). https://doi.org/10.1201/9781003323020-117
Qiao, Y., Zhang, S., Guo, Y., Wang, Y. , Santos, J., Stoner, A., Dawson, A., & Ma, T. (2023). Assessing the effects of unit cost uncertainty on flexible road pavement economics under the influence of climate change. Journal of cleaner production, 414, Article 137597. https://doi.org/10.1016/j.jclepro.2023.137597
Orešković, M. , Santos, J., Mladenović, G., & Rajaković-Ognjanović, V. (2023). The feasibility of using copper slag in asphalt mixtures for base and surface layers based on laboratory results. Construction and building materials, 384, Article 131285. https://doi.org/10.1016/j.conbuildmat.2023.131285
Tushar, Q., Salehi, S. , Santos, J., Zhang, G., Bhuiyan, M. A., Arashpour, M., & Giustozzi, F. (2023). Application of recycled crushed glass in road pavements and pipeline bedding: An integrated environmental evaluation using LCA. Science of the total environment, 881, 1-21. Article 163488. https://doi.org/10.1016/j.scitotenv.2023.163488
Vega Araujoa, D. L. , Santos, J., & Martinez-Arguelles, G. (2023). Environmental performance evaluation of warm mix asphalt with recycled concrete aggregate for road pavements. International journal of pavement engineering, 24(2), Article 2064999. https://doi.org/10.1080/10298436.2022.2064999
Santos, J. , Miller, S. R., & Cerezo, V. (2022). Pavement vehicle interaction (PVI): the elephant in the pavement life cycle assessment (LCA) room. 1-9. Paper presented at CROW Infradagen 2022, Rotterdam, Netherlands.
Tushar, Q. , Santos, J., Zhang, G., Bhuiyan, M. A., & Giustozzi, F. (2022). Recycling waste vehicle tyres into crumb rubber and the transition to renewable energy sources: A comprehensive life cycle assessment. Journal of environmental management, 323, 1-15. Article 116289. https://doi.org/10.1016/j.jenvman.2022.116289
Pena Acosta, M. , Vahdatikhaki, F. , Santos, J. , & Doree, A. (2022). A framework for a comprehensive mobile data acquisition setting for the assessment of Urban Heat Island phenomenon. In T. Linner, B. García de Soto, R. Hu, & I. Brilakis (Eds.), Proceedings of the 39th International Symposium on Automation and Robotics in Construction (pp. 1-8). International Association for Automation and Robotics in Construction. https://doi.org/10.22260/ISARC2022/0003
Oliveira dos Santos, J. M., Pizzol, M., & Azarijafari, H. (2022). Life cycle assessment (LCA) of using recycled plastic waste in road pavements: Theoretical modeling. In F. Giustozzi, & S. Nizamuddin (Eds.), Plastic Waste for Sustainable Asphalt Roads (pp. 273-302) https://doi.org/10.1016/b978-0-323-85789-5.00014-9
Vega A, D. L. , Santos, J., & Martinez-Arguelles, G. (2022). Life cycle assessment of hot mix asphalt with recycled concrete aggregates for road pavements construction. International journal of pavement engineering, 23(4), 923-936. https://doi.org/10.1080/10298436.2020.1778694
Pena Acosta, M. , Vahdatikhaki, F. , Oliveira dos Santos, J. M., Hammad, A. , & Doree, A. (2021). A generalizability analysis of a data-driven method for the Urban Heat Island phenomenon assessment. In Proceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC) (pp. 73-80) https://doi.org/10.22260/isarc2021/0012

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Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2022/2023

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University of Twente
Faculty of Engineering Technology
Horst Complex (building no. 20)
De Horst 2
7522LW  Enschede
The Netherlands

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University of Twente
Faculty of Engineering Technology
Horst Complex
P.O. Box 217
7500 AE Enschede
The Netherlands