Halid Can Yildirim is an Associate Professor in the Department of Civil and Architectural Engineering at Aarhus University, School of Engineering. His research focuses on structural engineering with an emphasis on advanced materials, particularly metallic structures used in infrastructure such as bridges, buildings, and offshore systems. He integrates experimental and computational methods to enhance material durability and safety under extreme conditions. Education: PhD in Mechanics of Materials, School of Engineering, Aalto University (Awarded: 19 Nov 2013) MSc in Mechanical Engineering, Faculty of Engineering, Bogazici University (Awarded: 3 Jul 2009) His research interests include Fatigue and Fracture Mechanics , Material Characterisation , Physics-based Data Science , and Machine Learning applied to structural materials. He employs a multi-scale approach—spanning micro to macro levels—to understand and improve the performance of high-strength steels and welded joints. His work emphasizes energy efficiency throughout the material lifecycle and sustainable engineering design. The recent publications reflect a strong trend in analyzing fatigue behavior of welded metallic components, particularly focusing on post-weld treatments like High-Frequency Mechanical Impact (HFMI). These studies employ both experimental testing and data-driven modeling, often integrating machine learning and statistical methods to predict fatigue life and crack initiation. Key themes include residual stress relaxation, misalignment effects, and damage-based assessment in high-strength steel joints. Scientific Awards: No scientific awards explicitly mentioned in the provided text. Dr. Yildirim has been involved in multiple research projects such as Hi-Life, FATIMP, TENGEN, FATWELDHSS, Fimecc – LIGHT SPR, and SOLROCK, indicating sustained funding and collaborative research activity. While no formal advisees are listed, his co-authored publications suggest active mentorship and collaboration within research teams. His work promotes open science through publicly available data and code via his HighLight webpage. Laboratories and Research Infrastructure: His experimental work is supported by facilities for small- and large-scale testing, likely located within the Structural Engineering section at Aarhus University. These labs enable mechanical testing, residual stress measurement, and full-scale structural evaluation, forming a critical component of his integrated research strategy.



