研究内容

Utilizing production data to increase efficiency and operational robustness in drug product manufacturing. Collaboration with F. Hoffmann-La Roche in Switzerland.

学術論文

1. Gianluca Lombardini, Sara Badr, Christian Schmid, Stephanie Knüppel, Hirokazu Sugiyama
   "Anomaly detection for drug product manufacturing considering data limitations and shifts: A case study on industrial freeze-dryers"
   Computers & Chemical Engineering, 198, 109106 (2025)

学会発表

1. Gianluca Lombardini, Sara Badr, Christian Schmid, Stephanie Knüppel, Hirokazu Sugiyama, "Enhancing data-ariven anomaly detection in biopharmaceutical manufacturing through domain adaptation and machine learning: A case study on industrial freeze-dryers", Poster, 2024 AIChE Annual Meeting, 27-31 october 2024, San Diego Convention Center, Hilton San Diego Bayfront, U.S.A.
2. Gianluca Lombardini, Mohamed Rami Gaddem, Stephanie Knueppel, Sara Badr, Hirokazu Sugiyama, "Data-driven diagnostics of variability during changeover in biopharmaceutical freeze-drying", Oral, ESCAPE34-PSE24, 2-6 June 2024, Palazzo dei Congressi -Villa Vittoria, Florence, Italy