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.


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. [116289]. https://doi.org/10.1016/j.jenvman.2022.116289
Vega Araujoa, D. L. , Santos, J., & Martinez-Arguelles, G. (2022). Environmental performance evaluation of warm mix asphalt with recycled concrete aggregate for road pavements. International journal of pavement engineering. https://doi.org/10.1080/10298436.2022.2064999
Amarh, E. A. , Santos, J., Flintsch, G. W., & Diefenderfer, B. K. (2022). Evaluating the Potential Environmental Benefits of Cold Recycling-Based Methods for Flexible Pavement Rehabilitation in Virginia. Transportation research record, 2676(6), 75-86. https://doi.org/10.1177/03611981211072786
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
Rincón, C. A. R. , Santos, J. , Volker, L., & Rouwenhorst, R. (2021). Identifying Institutional Barriers and Enablers for Sustainable Urban Planning from a Municipal Perspective. Sustainability (Switzerland), 13(20), [11231]. https://doi.org/10.3390/su132011231
Amarh, E. A., Flintsch, G. W. , Santos, J., & Diefenderfer, B. K. (2021). Development of Roughness Prediction Models for Life Cycle Assessment Studies of Recycled Pavement Projects. Transportation research record, 2675(12), 449-463. https://doi.org/10.1177/03611981211029928
Oliveira dos Santos, J. M., Pham, A., Stasinopoulos, P., & Giustozzi, F. (2021). Recycling waste plastics in roads: A life-cycle assessment study using primary data. Science of the total environment, 751, [141842]. https://doi.org/10.1016/j.scitotenv.2020.141842
Vega-Araujo, D. , Oliveira dos Santos, J. M., & Martinez-Arguelles, G. (2020). Carbon footprint of asphalt road pavements using warm mix asphalt with recycled concrete aggregates: A Colombian case study. In Pavement, Roadway, and Bridge Life Cycle Assessment 2020 Taylor & Francis. https://doi.org/10.1201/9781003092278-35
Oliveira dos Santos, J. M., Torres-Machi, C., Morillas, S., & Cerezo, V. (2020). Multiple objective optimization of sustainable pavement maintenance and rehabilitation strategies: a clustering procedure for selecting preferred Pareto optimal solutions. In T. Lusikka (Ed.), TRA2020 Helsinki: Transport Research Arena
Guo, Y., Chen, N., Ni, G., Wang, L., Qiao, Y., Stoner, A. , & Oliveira dos Santos, J. M. (2020). A life cycle costs analysis of the economic impacts of future climate change on flexible pavement performance. In A. Chen, F. Biondini, & M. Sarkisian (Eds.), IALCCE 2020: The seventh international symposium on life-cycle civil engineering
Qiao, Y., Liu, S., Wang, Z., Liu, Y., Li, W., Geng, D., Feng, Y. , Oliveira dos Santos, J. M., & Parry, T. (2020). Comparing environmental impacts of reclaimed asphalt pavement and hot mix asphalt pavement using life cycle assessment. In A. Chen, F. Biondini, & M. Sarkisian (Eds.), IALCCE 2020: the seventh international symposium on life-cycle civil engineering
Pena Acosta, M. , Vahdatikhaki, F. , Santos, J. , & Dorée, A. G. (2020). A conceptual framework for more efficient simulation of the interplay between road pavements and the Urban Heat Island phenomenon. In L-C. Ungureanu, & T. Hartmann (Eds.), EG-ICE 2020 Workshop on Intelligent Computing in Engineering: 1st–4th July 2020, Online, Proceedings (pp. 264-274). Berlin University Press.
van Eldik, M. A. , Santos, J. , Vahdatikhaki, F., Visser, M. , & Dorée, A. (2020). BIM-based life cycle assessment framework for infrastructure design. In L-C. Ungureanu, & T. Hartmann (Eds.), EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings (pp. 254-263). Berlin University Press.

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Courses Academic Year  2022/2023

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  2021/2022

Contact Details

Visiting Address

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

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Mailing Address

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