Lystbæk, M. (2025). Applied Machine Learning for Architectural Design: Developing Generative Design Frameworks. [PhD dissertation, Aarhus University].
Carnevale, D., D'Angelo, G. & Olsen, M. (2025). Approximating Optimal Labelings for Temporal Connectivity. Proceedings of the AAAI Conference on Artificial Intelligence, 39(25), 26490-26497. https://doi.org/10.1609/aaai.v39i25.34849
Nielsen, M. K., Klinge Nielsen, S. & Tambo, T. (2025). A quantitative modeling perspective on extrusion processing of aquafeed & pet food. Food and Bioproducts Processing, 153, 500-520. Article 1. https://doi.org/10.1016/j.fbp.2025.08.001
Frandsen, L. N. & Høyer, J. H. (2025). A Systematic Review and Meta-analysis of Vibratory Stress Relief (VSR) Effectiveness of Steel Components. In Y. Zhao (Ed.), Progress in Advanced Manufacturing and Materials: Selected Contributions of ICAMM 2025 (pp. 237-251). Springer. https://doi.org/10.1007/978-3-032-09862-7_23
Srirajan, T. P. (2025). Bridging Data and Decisions: A Design Science Perspective on Explainable Artificial Intelligence in Wind Energy Planning. [PhD dissertation, Aarhus University].
Smead, M. & Xydis, G. (2025). Briefing: Reducing regulatory turbulence for US offshore wind development. Proceedings of the Institution of Civil Engineers: Engineering Sustainability, 178(3), 164-170. Article 00064. https://doi.org/10.1680/jensu.22.00064