MCom

Chrismarie Enslin

Fa77Ad135551Dd38E6Cd885Cffd89B56
Raum
D 2.08
Telefon
+49 241 80 911 68
E-Mail
Chrismarie Enslin arbeitet seit 2019 am Cybernetics Lab. Zu ihren Interessengebieten gehören Machine Learning und Reinforcement Learning im Anwendungsbereich der digitalen Produktionstechnologie. Zuvor arbeitete sie als Data Scientist und Statistical Analyst bei der Capitec Bank in Südafrika und schloss 2018 ihren Master of Commerce in Mathematischer Statistik an der Universität von Stellenbosch ab.

Aktuelle Publikationen

Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications
Enslin, Chrismarie; Samsonov, Vladimir; Köpken, Hans-Georg; Baer, Schirin; Lütticke, Daniel
Nicosia G. et al. (eds) Machine Learning, Optimization, and Data Science. LOD 2021. Lecture Notes in Computer Science, vol 13164., Springer
2022
Controlled Synthesis of Fibre-reinforced Plastics Images from Segmentation Maps using Generative Adversarial Neural Networks
Schaaf, Nicolas; Zhou, Hans; Enslin, Chrismarie; Brillowski, Florian; Lütticke, Daniel
Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, SciTePress, Online, pp. 801-809
2022
Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool
Samsonov, Vladimir; Enslin, Chrismarie; Köpken, Hans-Georg; Baer, Schirin; Lütticke, Daniel
Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, pp. 506-514
2020
Managing Disruptions in Production with Machine Learning
Samsonov, Vladimir; Enslin, Chrismarie; Luetkehoff, Ben; Steinlein, Felix; Lütticke, Daniel; Stich, Volker
Proceedings of the 1st Conference on Production Systems and Logistics (CPSL 2020), pp. 360-368
2020
Data-driven decision support for process quality improvements
Buschmann, Daniel; Enslin, Chrismarie; Elser, Hannes; Lütticke, Daniel; Schmitt, Robert
14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 15-17 July 2020
2020