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Profil
| Derzeitige Stellung | Professor W-3 und Äquivalente |
|---|---|
| Fachgebiet | Chemische und Thermische Verfahrenstechnik,Numerik, Optimierung, Simulation |
| Keywords | Nonlinear Process Control, Process Optimisation, Process estimation and data reconciliation, Nonlinear Programming, Process Modeling and Simulation |
Aktuelle Kontaktadresse
| Land | USA |
|---|---|
| Ort | Pittsburgh |
| Universität/Institution | Carnegie Mellon University |
| Institut/Abteilung | Department of Chemical Engineering |
Gastgeber*innen während der Förderung
| Prof. Dr.-Ing. Jens-Uwe Repke | Institut für Prozess- und Verfahrenstechnik, Technische Universität Berlin, Berlin |
|---|---|
| Beginn der ersten Förderung | 01.06.2022 |
Programm(e)
| 2020 | Humboldt-Forschungspreis-Programm für Naturwissenschaftler*innen aus den USA |
|---|
Projektbeschreibung der*des Nominierenden
| Professor Biegler is well known for his outstanding research in nonlinear dynamic optimization. He has made valued contributions to control theory and its application to complex chemical processes. Professor Biegler strives for the extension of mathematical methods and algorithms in nonlinear programming. During his stay in Germany, he intends to further methods for optimal control of real-life chemical plants and simultaneous solution methods for optimization under uncertainty. |