Adrien Gallet – Structural Engineering – Best Researcher Award

Published on by Civil Engineering

Dr. Adrien Gallet - Structural Engineering - Best Researcher Award

Computational Structural Engineering | Unipart Construction Technologies | United Kingdom

Adrien Gallet is a trilingual doctoral researcher in structural engineering with strong expertise in parametric modelling, Python programming, and structural design, currently pursuing a PhD at the University of Sheffield. Research focuses on machine-learned structural design models from the inverse problem perspective, producing multiple journal articles and data repository contributions. Professional experience spans academia and industry, including doctoral research and teaching roles at Sheffield, a design engineering placement at AKT II in London contributing to Google’s KGX1 office project, consulting work at BE Design Partnership on warehouse projects, and contracting engineering internship at Max Boegl. Research achievements involve the development of physics-informed neural network training pipelines, Grasshopper support scripts, and optimisation programs in Python and MATLAB, reflecting a strong integration of engineering and computational methods. Recognition includes prestigious awards such as the Outstanding Teaching Delivery Award, IStructE Young Researcher Conference Poster Award, Royal Academy of Engineering Scholarship, and multiple academic prizes from the University of Sheffield, demonstrating consistent academic excellence and leadership potential. Extracurricular activities highlight involvement in orienteering, long-distance running, and fencing, alongside leadership in founding the USIS Trading Division, encouraging financial market exposure for students. Technical proficiency covers advanced software tools like Rhino/Grasshopper, Karamba3D, Robot, Peregrine, and AutoCAD, combined with coding expertise in Python and MATLAB. Fluent in English, German, and French, Adrien demonstrates strong international and collaborative potential. A balance between research, teaching, engineering practice, and extracurricular engagement reflects adaptability, innovation, and leadership in both academic and professional settings, positioning Adrien as a highly capable researcher whose work advances the integration of computational intelligence with structural engineering, while maintaining strong interdisciplinary and practical contributions to the field.

Profile: Scopus | ORCID
Publications

  • Zhuang, B., Gallet, A., & Smyl, D. (2025). Inverse structural design with generative and probabilistic autoencoders and diffusion models. Engineering Applications of Artificial Intelligence.

  • Smyl, D., Zhuang, B., Rigby, S., Bruun, E., Jones, B., Kastner, P., Tien, I., & Gallet, A. (2025). OpenPyStruct: Open-source toolkit for machine learning-driven structural optimization. Engineering Structures.

  • Gallet, A., Liew, A., Hajirasouliha, I., & Smyl, D. (2024). Influence zones of continuous beam systems. Structures.

  • Gallet, A., Smyl, D. (2024). IZ kmax: Influence zone results and design datasets. Dataset.

  • Gallet, A., Liew, A., Hajirasouliha, I., & Smyl, D. (2024). Machine learning for structural design models of continuous beam systems via influence zones. Inverse Problems.

Usman Javed | Structural Engineering | Best Researcher Award

Published on by Civil Engineering

Usman Javed | Curtin University | Australia

EARLY ACADEMIC PURSUITS:

Usman Javed commenced his academic journey at Curtin University, marking the inception of his scholarly pursuits. Information about his early academic undertakings, including educational achievements, fields of study, and any noteworthy accomplishments during this foundational period, is crucial for understanding his intellectual development.

PROFESSIONAL ENDEAVORS:

Transitioning from academia to the professional realm, Javed's career unfolded with diverse professional endeavors. Insights into his roles, projects, and collaborations during this phase, particularly those aligned with his academic background, contribute to comprehending the practical applications of his knowledge and skills.

CONTRIBUTIONS AND RESEARCH FOCUS:

Javed's contributions and research focus are integral to his academic and professional identity. Whether through scholarly publications, participation in research projects, or advancements within a specific field, understanding the thematic concentration of his contributions offers insights into his academic impact.

NOTABLE PUBLICATION

Eco-friendly utilization of corncob ash as partial replacement of sand in concrete. 2019 (56)

Sustainable incorporation of waste granite dust as partial replacement of sand in autoclave aerated concrete. 2020 (55)

Scopus
ORCID
Google Scholar 

IMPACT AND INFLUENCE:

Assessing Javed's impact and influence involves recognizing the broader effects of his work. This includes positive outcomes in academia, acknowledgment within his professional network, and any influence he may have had on students, colleagues, or the academic community at large.

ACADEMIC CITATIONS:

An indicator of Javed's academic influence is reflected in the number of citations his work has garnered. High citation metrics suggest that his research has significantly contributed to the academic discourse, with fellow researchers and scholars referencing his work in their own studies.

LEGACY:

Usman Javed's legacy is defined by the lasting impact he leaves at Curtin University. This may encompass contributions to the academic environment, mentorship of students, and the cultivation of a positive and collaborative culture within his academic sphere.

FUTURE CONTRIBUTIONS:

Looking ahead, Javed's future contributions may involve continued advancements in his academic and professional pursuits. This could include further research, participation in impactful projects, mentorship of emerging scholars, and potentially taking on leadership roles that contribute to the growth and development of Curtin University.