Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Engineering, Doctorate, University of California Los Angeles (UCLA)
2014 → 2019
Award Date: 13 Sept 2019
Engineering, Master, University of California Los Angeles (UCLA)
2014 → 2015
Award Date: 12 Jun 2015
Engineering, Bachelor, University of California Los Angeles (UCLA)
2010 → 2014
Award Date: 13 Jun 2014
External positions
Guest Researcher, National Institute of Standards and Technology (NIST)
18 Jun 2018 → 10 Aug 2018
Guest Researcher, National Institute of Standards and Technology (NIST)
2 May 2016 → 15 Jul 2016
Guest Researcher, National Institute of Standards and Technology (NIST)
4 Aug 2014 → 26 Sept 2014
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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DeMiCo: Low-carbon Deep Mixing and Compaction
Rinta-Hiiro, V. (Manager) & Oey, T. (Participant)
1/08/23 → 31/07/26
Project: Business Finland project
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ACES: Towards Improved Assessment of Safety Performance for Long-Term Operation of Nuclear Civil Engineering Structures
Ferreira, M. (Manager), Laukkanen, A. (Participant), Huttunen-Saarivirta, E. (Participant) & Oey, T. (Participant)
1/09/20 → 31/08/24
Project: EU project
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Feasibility of biochar for low-emission soft clay stabilization using CO2 curing
Hanafi, M., Bordoloi, S., Rinta-Hiiro, V., Oey, T. & Korkiala-Tanttu, L., Nov 2024, In: Transportation Geotechnics. 49, 101370.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access7 Citations (Scopus) -
Carbon Absorption and Carbon Absorption Enhancement of Recycled Concrete Aggregate Masses
Kekkonen, T., Mattila, J., Raunio, K. & Oey, T., 2023, Building for the Future: Durable, Sustainable, Resilient: Proceedings of the fib Symposium 2023. Ilki, A., Çavunt, D. & Çavunt, Y. S. (eds.). Springer Science+Business Media, Vol. 1. p. 721-728 (Lecture Notes in Civil Engineering, Vol. 349 LNCE).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
2 Citations (Scopus) -
Predicting the incidence of alkali-aggregate reaction in Finnish bridges with machine learning
Oey, T., Vehmas, T., Torkki, A., Ferreira, R. M. & Bohner, E., Mar 2021, In: Revista portuguesa de engenharia de estruturas. Serie III, 15, p. 65-76Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile94 Downloads (Pure) -
Machine learning can predict setting behavior and strength evolution of hydrating cement systems
Oey, T., Jones, S., Bullard, J. & Sant, G., 1 Jan 2020, In: Journal of the American Ceramic Society. 103, 1, p. 480-490Research output: Contribution to journal › Article › Scientific › peer-review
53 Citations (Scopus)