HPU Master Thesis presentations 2022-06-03

I, hereby, welcome you all of our HPU Masters students Master Thesis presentations.

Time: 09.00 to 10.00. Thesis presentation by Kristian Kannel & Fardin Moghbel
Title: How can Data-Driven Decision-Making support performance improvements in Production, Maintenance and Sustainability in SMEs?
Supervisor & Examiner: Zuhara Zemke Chavez, Maheshwaran Gopalakrishnan & Andreas Archenti
Opponent: Lezly Lilian Dávila Carreño & Roberto Rossi

Time: 10.00 to 11.00. Thesis presentation by, Paul Fussenegger & Niklas Lange
Title: Explainable Machine Learning for Lead Time Prediction
Supervisor & Examiner: Erik Flores Garcia & Andreas Archenti
Opponent: Kristian Kannel & Fardin Moghbel

Time: 11.00 to 12.00. Thesis presentation by, Lezly Lilian Dávila Carreño & Roberto Rossi
Title: Simulation-assisted performance assessment of industrial manipulators
Supervisor & Examiner: Károly Szipka & Andreas Archenti
Opponent: Paul Fussenegger & Niklas Lange