Personal profile
Research Interests
What if you could design manufacturing systems and infrastructure that don't just meet today's needs, but actively support the environment and adapt to climate change - all while being data-driven and efficient?
So that every materials and building not only lasts longer but also leaves a lighter footprint.
For example, by combining Life Cycle Assessment with AI and finite element modelling, we can uncover smarter ways to use recycled materials, predict system opportunities and failures, and integrate sustainable practices.
Dr. Birch Teodosio's research sits at the intersection of sustainability, data science, and civil engineering, with a strong focus on creating smarter, environmentally friendly, and resilient infrastructure and manufacturing systems. His work integrates life-cycle assessment, artificial intelligence, and finite element modelling to address pressing challenges in the built environment and material production.
He is particularly interested in:
- Life Cycle Assessment (LCA) and Circular Economy - quantifying the environmental impacts of material production, manufacturing and reuse pathways to accelerate circular design and resource-efficiency.
- AI-Driven Systems - integrating deep learning and numerical modelling for prediction involving different applications.
- Sustainable Infrastructure Design - developing innovative low-impact systems using prefabrication, recycled materials, and multi-criteria decision frameworks.
- Renewable Energy and Climate-Resilient Systems - assessing and optimising renewable energy technologies and their integration into net-zero and adaptive infrastructure networks.
- Remote Sensing and Smart Monitoring - applying satellite imaging and data analytics for hazard detection, infrastructure health monitoring, and environmental performance assessment.
Through interdisciplinary collaboration and data-informed design, Dr. Teodosio aims to redefine how materials, structures, and technologies interact across their life cycles - contributing to a more resilient, resource-circular, and safer future.
Related documents
Education/Academic qualification
PhD, Doctor of Philosophy in Engineering, University of Melbourne
Jul 2017 → Mar 2021
Award Date: 15 Mar 2021
Master of Engineering Science , Monash University
Mar 2015 → Jun 2017
Award Date: 12 Jun 2017
Keywords
- TA Engineering (General). Civil engineering (General)
- reactive
- soil
- TD Environmental technology. Sanitary engineering
- Life Cycle Analysis
- LCA
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):
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SDG 6 Clean Water and Sanitation
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Application of Artificial Intelligence in Reactive Soil Research: A Scientometric Analysis
Teodosio, B., Wasantha, P. L. P., Yaghoubi, E., Guerrieri, M., van Staden, R. C. & Fragomeni, S., Apr 2025, Geotechnical and Geological Engineering, 43.Research output: Contribution to specialist publication › Article
Open Access -
Investigation of seasonal soil moisture and temperature variations underneath a waffle raft foundation built on reactive soil
Gedara, S. D. D. A., Wasantha, P. L. P., Teodosio, B., Yaghoubi, E., van Staden, R. C. & Guerrieri, M., Dec 2025, Scientific Reports, 15.Research output: Contribution to specialist publication › Article
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Comparative life cycle assessment of renewable energy storage systems for net-zero buildings with varying self-sufficient ratios
Le, S. T., Nguyen, T. N., Bui , D.-K., Teodosio, B. & Ngo, T. D., 1 Mar 2024, Energy, 290.Research output: Contribution to specialist publication › Article
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Environmental, economic, and serviceability attributes of residential foundation slabs: A comparison between waffle and stiffened rafts using multi-output deep learning
Teodosio, B., Wasantha, P. L. P., Yaghoubi, E., Guerrieri, M., Fragomeni, S. & van Staden, R. C., 1 Dec 2023, Journal of Building Engineering, 80.Research output: Contribution to specialist publication › Article
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Prediction of Residential Slab Foundation Movement Through a Finite Element-Based Deep Learning Algorithm
Teodosio, B., Wasantha, P. L. P., Guerrieri, M., van Staden, R. C. & Fragomeni, S., Mar 2023, Geotechnical and Geological Engineering, 41, p. 943-965 23 p.Research output: Contribution to specialist publication › Article
Open Access
Activities
- 2 Visiting an external academic institution
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University of Alberta
Teodosio, B. (Visiting researcher)
May 2019 → Sep 2019Activity: Visiting an external institution › Visiting an external academic institution
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Tokyo Institute of Technology
Teodosio, B. (Visiting researcher)
Feb 2011 → May 2011Activity: Visiting an external institution › Visiting an external academic institution
Press/Media
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Building for success: How soil type impacts foundation performance
4/06/24
1 Media contribution
Press/Media
Thesis
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An optimized prefabricated raft footing system
Teodosio, B. (Author), 2021Student thesis: Doctoral thesis
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Carbon dioxide fluxes between land and atmosphere in catchments with contrasting land cover
Teodosio, B. (Author), 2017Student thesis: Master's thesis