Laurens Lueg

Last update: January, 2023

About

Laurens started his PhD under the advisement of Professor Laird and Professor Biegler in the Fall semester of 2022. He completed his B.Sc. in Computational Engineering Science from RWTH Aachen University in 2020 and he completed his M.Sc. in Computational Science and Engineering from ETH Zurich in 2022.

Publications

Kumaran, K., Papageorgiou, D.J., Takac, M., Lueg, L. and Sahinidis, N.V., 2021. Active metric learning for supervised classification. Computers & Chemical Engineering, 144, p.107132.

Lueg, L., Schack, D., Örs, E., Schmidt, R., Bickert, P., von Kurnatowski, M., Ludl, P.O. and Bortz, M., 2021. Data-driven Process Design Exemplified on the Steam Methane Reforming Process. In Computer Aided Chemical Engineering (Vol. 50, pp. 1013-1019). Elsevier.

Schack, D., Lueg, L., Schmidt, R., von Kurnatowski, M., Ludl, P.O. and Bortz, M., 2021. Data‐Driven Process Simulation Using Connected Surrogate Unit Models Exemplified on a Steam Methane Reforming Process. Chemie Ingenieur Technik, 93(12), pp.2052-2062

Laurens Lueg, Bjarne Grimstad, Alexander Mitsos, & Artur M. Schweidtmann. (2021). reluMIP: Open Source Tool for MILP Optimization of ReLU Neural Networks (v1.0.0). Zenodo.