Baris Ördek

I completed my Bachelor of Science in Mechanical Engineering and Master of Science in Sustainable Environment and Energy Systems at Middle East Technical University in Turkey. I obtained my Ph.D. in Advanced Systems Engineering from the Free University of Bozen-Bolzano, Italy, in February 2025.

My research interests include developing methods and tools to support the design and manufacturing of new products. My research include Machine Learning, Image Processing, Manufacturing Process Selection, Failure Mode and Effect Analysis, Design for Additive Manufacturing, Life Cycle Assessment, and Finite Element Modelling.

Ördek, B., Coatanea, E., & Borgianni, Y. (2025). An auto hierarchical clustering algorithm to distinguish geometries suitable for additive and traditional manufacturing technologies: Comparing humans and unsupervised learning. Results in Engineering, 25, 104418.

Ördek, B., & Borgianni, Y. (2025). Experts’ and novices’ views on the use of additive manufacturing for the fabrication of parts based on their geometry. International Journal on Interactive Design and Manufacturing (IJIDeM), 1-17.

Spreafico, C., & Ördek, B. (2025). Parametric LCA model for Ti6Al4V powder production. Cleaner Engineering and Technology, 101032.

Ördek, B., Borgianni, Y., & Coatanea, E. (2024). Machine learning-supported manufacturing: A review and directions for future research. Production & Manufacturing Research, 12(1), 2326526.

Ördek, B., & Borgianni, Y. (2024). HICA: A MATLAB-based hierarchical image clustering algorithm for classifying parts suitable for additive and traditional manufacturing technologies. SoftwareX, 27, 101837.

Ordek, B., Esat, V., & Sabah, C. (2022). Effects of bending on the electro-optical properties of a wide-band silicon-carbon nanotube-based metamaterial absorber. Materials Today Communications, 32, 104073.