Research

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

Publication

1. Gianluca Lombardini, Sara Badr, Tim Dreckmann, Hirokazu Sugiyama
   "An integrated modeling framework to determine robust operational regions in pharmaceutical water-for-injection distribution loops"
   Chemical Engineering Research and Design, Accepted (2026)
2. 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)

Conferences

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