Institute for Manufacturing Technology and Production Systems

M.Sc. Avik Mukherjee

Wissenschaftlicher Mitarbeiter

Kontakt

Telefon: +49 631 205 3224

Telefax: +49 631 205 3304

E-Mail: avik.mukherjee(at)rptu.de


Adresse

Erwin-Schrödinger-Straße
67663 Kaiserslautern

Gebäude 57
Raum 328

Details

  • seit März 2022 Wissenschaftlicher Mitarbeiter am FBK
  • Forschungsschwerpunkt: Digitale Technologien für Produktionssysteme

 

Veröffentlichungen

Conferences

A. Mukherjee, J. Mertes, M. Glatt, J. C. Aurich: Voice User Interface based control for Industrial machine tools. Procedia CIRP 121 - Proceedings of the 11th CIRP Global Web Conference (2024): S. 121-126. 10.1016/j.procir.2023.09.238.

P. Ruediger-Flore, M. Klar, M. Hussong, A. Mukherjee, M. Glatt, J.C. Aurich: Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow. Procedia CIRP 121 - Proceedings of the 11th CIRP Global Web Conference (2024): S. 138-143. 10.1016/j.procir.2023.09.241.

A. Mukherjee, P. Ruediger-Flore, A. Billimoria, D. Chittari, W. Mustafa, M. Klar, M. Glatt, M. Kloft, J. C. Aurich: Training a Machine Learning Model for representing Manufacturing Systems towards optimizing Resilience. Procedia CIRP 120 - Proceedings of the 56TH CIRP Conference on Manufacturing Systems (2023): S. 768-773. j.procir.2023.09.073

A. Mukherjee, M. Glatt, W. Mustafa, M. Kloft, J. C. Aurich: Designing Resilient Manufacturing Systems using Cross Domain Application of Machine Learning Resilience. Procedia CIRP 115 - Proceedings of the 10th CIRP Global Web Conference (2022): S. 83-88.

A. Mukherjee, P. Ruediger-Flore, A. Billimoria, D. Chittari, W. Mustafa, M. Klar, M. Glatt, M. Kloft, J. C. Aurich, Training a Machine Learning Model for representing Manufacturing Systems towards optimizing Resilience, Procedia CIRP, Volume 120, 2023, Pages 768-773.10.1016/j.procir.2023.09.073

A. Mukherjee, J. Mertes, M. Glatt, J. C. Aurich, Voice User Interface based control for Industrial machine tools, Procedia CIRP, Volume 121, 2024, Pages 121-126. 10.1016/j.procir.2023.09.238.

Patrick Ruediger-Flore, Matthias Klar, Marco Hussong, Avik Mukherjee, Moritz Glatt, Jan C. Aurich, Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow, Procedia CIRP, Volume 121, 2024, Pages 138-143. 10.1016/j.procir.2023.09.241.

Go to top