Aykut Uzunoglu studierte an der Technischen Universität München Informatik mit den Schwerpunkten „Formale Methoden“ und „Softwareengineering“. Im Jahr 2017 war er studentische Hilfskraft am Lehrstuhl für Decision Sciences & Systems.  

Seit Februar 2018 ist Aykut Uzunoglu wissenschaftlicher Mitarbeiter am Lehrstuhl für Production & Supply Chain Management.

Im Bereich der Lehre ist er für den SAP GBI-Fallstudienkurs und den SAP TS410-Zertifizierungskurs verantwortlich.

Auszeichnungen:

• SAP Certified Application Associate – Business Process Integration with SAP S/4HANA 1809

• SAP Certified Associate – Business Process Integration with SAP ERP 6.0 EhP6

Talks:

• Uzunoglu, A. (2022): Heuristic Parameter Estimation by Machine Learning. 18th International Workshop on Project Management and Scheduling (PMS2022), Ghent (Belgium), April 6-7. 2022.

• Uzunoglu, A; Gahm, C.; Wahl, S; Ganschinietz, C.; Tuma, A. (2021): Anticipating complex nesting solutions in hierarchical production planning using machine learning models. 31st European Conference on Operational Research (EURO2021), Athens (Greece), July 11-14. 2021.

• Uzunoglu, A; Gahm, C.; Wahl, S; Ganschinietz, C.; Tuma, A. (2021): Applying machine learning for the anticipation of complex nesting solutions in hierarchical production planning. Graduate Program in Operations Management (GPOM2021), Munich (Germany), January 15. 2021.

• Uzunoglu A.; Gahm, C.; Wahl, S.; Ganschinietz, C.; Tuma, A. (2020): Approximate anticipation of base-level reactions by machine learning techniques used to substitute the solving of complex nesting problems. GOR-Online-Workshop, October 8-9. 2020.

• Bichler, M.; Merting, S.; Uzunoglu, A. (2019): Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness. 14. International Conference on Wirtschaftsinformatik (WI2019). Siegen (Germany), February 23-27. 2019.

• Merting, S.; Bichler, M.; Uzunoglu, A. (2018): Assigning Course Schedules: About Preference Elicitation, Fairness, and Truthfulness. International Conference on Operations Research (OR2018), Brussels (Belgium), September 12-14. 2018.