Baris Ördek
About me
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.
Research unit
Research fields
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.
Latest publications
Parametric LCA for optimizing rotational moulding of composite products to support eco-design
Ördek, B., Ortega, Z., Kelly-Walley, J., McCourt, M. & Spreafico, C., 28 Feb 2026, In: International Journal on Interactive Design and Manufacturing.Research output: Contribution to journal › Article › Scientific › peer-review
Patent-Based Prospective Life Cycle Assessment and Eco-Design of Lithium–Sulfur Batteries
Ördek, B. & Spreafico, C., Jan 2026, In: Sustainability (Switzerland). 18, 2, 711.Research output: Contribution to journal › Article › Scientific › peer-review
An auto hierarchical clustering algorithm to distinguish geometries suitable for additive and traditional manufacturing technologies: Comparing humans and unsupervised learning
Ördek, B., Coatanea, E. & Borgianni, Y., Mar 2025, In: Results in Engineering. 25, 104418.Research output: Contribution to journal › Article › Scientific › peer-review
Environmental Hotspots for Sustainability in Additive Manufacturing: Insights from Expert Interviews
Ördek, B., Borgianni , Y. & Spreafico, C., 30 Oct 2025, Manufacturing 2030 - A Perspective to Future Challenges in Industrial Production. Matt, D. T., Rauch, E., Dallasega, P., Gualtieri, L. & Marchi, M. D. (eds.). Springer, p. 3-15 (Lecture Notes in Networks and Systems; no. 1604).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Experts’ and novices’ views on the use of additive manufacturing for the fabrication of parts based on their geometry
Ördek, B. & Borgianni , Y., 4 Sept 2025, In: International Journal on Interactive Design and Manufacturing. 19Research output: Contribution to journal › Article › Scientific › peer-review
Investigation of failures in rotational moulding using historical production dataset and machine learning
Ördek, B., McGree, J., Corry, P. & Spreafico, C., 12 Nov 2025, (E-pub ahead of print) In: International Journal of Advanced Manufacturing Technology.Research output: Contribution to journal › Article › Scientific › peer-review
Parametric LCA model for Ti6Al4V powder production
Spreafico, C. & Ördek, B., Jul 2025, In: Cleaner Engineering and Technology. 27, 101032.Research output: Contribution to journal › Article › Scientific › peer-review
Reasons Behind Selecting a Manufacturing Process: A Semi-structured Interview Study
Ördek, B. & Borgianni, Y., 2025, Design Tools and Methods in Industrial Engineering IV - Proceedings of the 4th International Conference on Design Tools and Methods in Industrial Engineering, ADM 2024. Di Stefano, P., Gherardini, F., Nigrelli, V., Rizzi, C., Sequenzia, G. & Tumino, D. (eds.). Springer, p. 12-19 8 p. (Lecture Notes in Mechanical Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
HICA: A MATLAB-based hierarchical image clustering algorithm for classifying parts suitable for additive and traditional manufacturing technologies
Ördek, B. & Borgianni, Y., 28 Jul 2024, In: SoftwareX. 27, 101837.Research output: Contribution to journal › Article › Scientific › peer-review
Machine learning-supported manufacturing: a review and directions for future research
Ördek, B., Borgianni, Y. & Coatanea, E., 2024, In: Production and Manufacturing Research. 12, 1, 2326526.Research output: Contribution to journal › Article › Scientific › peer-review