Sabancı University was found deserving of the University-Business Cooperation Award within the scope of the Council of Higher Education 2023 Outstanding Achievement Awards. At the award ceremony held at the Presidential Complex, Professor Yusuf Leblebici, President of Sabancı University, and Associate Professor Adnan Kefal, member of the Faculty of Engineering and Natural Sciences and principal investigator, were presented the award by President Recep Tayyip Erdoğan.
“2023-2024 Higher Education Academic Year Opening Ceremony” took place on October 9, 2023. Following the speeches of Erol Özvar, President of the Council of Higher Education, and President Recep Tayyip Erdoğan, the winners of the "Council of Higher Education 2023 Outstanding Achievement Awards", given in four categories, namely "individual award, institutional award, private field award and special award", were announced. Within the scope of Institutional Awards, the University-Business Cooperation Award was given to Sabancı University.
Sabancı University was found deserving of the award as a result of the application made for the project entitled “Development and Experimental Verification of Design, Analysis and Optimization Technologies towards Composite Manufacturing of Automotive Suspension Control Arm” coordinated by Associate Professor Adnan Kefal, member of the Faculty of Engineering and Natural Sciences, supported within the scope of TÜBİTAK 1505 University Industry Cooperation program, and carried out under the leadership of Sabancı University in cooperation with the client institution Teknorot Otomotiv Ürünleri Sanayi Tic. A.Ş.
The project, successfully carried out at Sabancı University Integrated Manufacturing Technologies Research and Application Center (SU-TÜMER), involves the development of innovative design-analysis-optimization methods for the composite manufacturing of automotive parts, the prototype production of the composite control arm, and the embedding technologies of Fiber Bragg Grating (FBG) sensors into composite control arm to collect real-time strain data and perform shape sensing during mechanical tests.