Structural engineering, seismic design of timber buildings, nonlinear modeling, experimental testing of structures, structural dynamics, risk modeling, machine learning for engineering.

The project will contribute significantly to human capital training by engaging PhD and master students in interdisciplinary research at the intersection of civil engineering and artificial intelligence. Students will gain advanced skills in machine learning, structural design, and timber engineering, while also developing expertise in translating research into practical software tools for industry. This hands-on training will equip them with both technical competencies and transferable skills (critical thinking, collaboration, and innovation) preparing the next generation of engineers and researchers to advance sustainable construction practices.

The project will ensure effective dissemination and transfer of knowledge and results to both the academic and industrial sectors. Research outputs will be published in peer-reviewed journals and presented at international conferences to strengthen Chile’s visibility in sustainable construction and artificial intelligence. At the national level, results will be shared through seminars, workshops, and training sessions aimed at industry partners, professional associations, and public agencies.
To promote technology transfer, the developed design software for timber buildings will be tested in collaboration with industry stakeholders, ensuring alignment with market needs and regulatory frameworks. Open collaboration with companies will facilitate adoption, while tailored training materials and technical guidelines will ensure that the developed methodologies are accessible to practitioners. This dual strategy of academic dissemination and industry transfer will maximize the project’s impact and foster innovation in Chile’s construction sector.