Researchers
Prof. Dr. Marius Kloft
Affiliation:
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)
Research area:
Statistical Machine Learning and Deep Learning
Project:
Deep anomaly detection on time series (A1)
Prof. Dr. Daniel Neider
Affiliation:
Technische Universität Dortmund (TU Dortmund)
Research area:
Logic and Learning
Project:
Verification of anomalies (A2)
Prof. Dr. Heike Leitte
Affiliation:
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)
Research area:
Visualization
Project:
Exploration and explanation of anomalies (A3)
Jun.-Prof. Dr. Sophie Fellenz
Affiliation:
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)
Research area:
Machine Learning for Sequential Data
Project:
Deep time-series generation using domain knowledge (A4)
Prof. Dr. Michael Bortz
Affiliation:
Fraunhofer Institute for Indsutrial Mathematics, Kaiserslautern (ITWM), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)
Research area:
Mathematical Modeling and Optimization
Project:
Discontinuous processes: batch distillation (B1)
Prof. Dr.-Ing. Hans Hasse
Affiliation:
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)
Research area:
Thermodynamics
Project:
Discontinuous processes: batch distillation (B1)
Jun.-Prof Dr.-Ing. Fabian Jirasek
Affiliation:
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)
Research area:
Machine Learning in Chemical Engineering
Project:
Discontinuous processes: batch distillation (B1)
Prof. Dr.-Ing Jakob Burger
Affiliation:
Technische Universität München, Straubing (TUM)
Research area:
Fluid Process Engineering
Project:
Continuos processes: OME production (B2)