Thomas Thiele
Thomas Thiele
Chief Expert AI & Program Manager House of AI, Deutsche Bahn
Verified email at - Homepage
Cited by
Cited by
Motion planning for industrial robots using reinforcement learning
R Meyes, H Tercan, S Roggendorf, T Thiele, C Büscher, M Obdenbusch, ...
Procedia CIRP 63, 107-112, 2017
Transfer-learning: Bridging the gap between real and simulation data for machine learning in injection molding
H Tercan, A Guajardo, J Heinisch, T Thiele, C Hopmann, T Meisen
Procedia Cirp 72, 185-190, 2018
Enhancing Scientific Cooperation of an Interdisciplinary Cluster of Excellence via a Scientific Cooperation Portal
T Vaegs, A Calero Valdez, AK Schaar, A Braekling, S Aghassi, U Jansen, ...
7th International Conference on E-Learning in the Workplace (ICELW 2014), 2014
Exploring Research Networks with Data Science – A Data-Driven Microservice Architecture for Synergy Detection
T Thiele, T Sommer, S Stiehm, S Jeschke, A Richert
4th International Conference on Future Internet of Things and Cloud …, 2016
Terminology Based Visualization of Interfaces in Interdisciplinary Research Networks
T Thiele, C Jooß, A Richert, S Jeschke
19th Triennial Congress of the IEA, 2015
Digitalisierung der Arbeit und demografischer Wandel
O Cernavin, T Thiele, M Kowalski, S Winter
Exploring Demographics, 67-81, 2015
Interdisciplinary data driven production process analysis for the internet of production
R Meyes, H Tercan, T Thiele, A Krämer, J Heinisch, M Liebenberg, G Hirt, ...
Procedia Manufacturing 26, 1065-1076, 2018
Ascertainment of Energy Consumption Information in the Age of Industrial Big Data
D Flick, F Kuschicke, M Schweikert, T Thiele, N Panten, S Thiede, ...
Procedia CIRP 72, 202-208, 2018
Industrie 4.0 als Treiber der demografischen Chancen
S Jeschke, R Vossen, I Leisten, F Welter, S Fleischer, T Thiele
Innovationsfähigkeit im demografischen Wandel : Beiträge der …, 2013
Combined learning processes for injection moulding based on simulation and experimental data
C Hopmann, S Jeschke, T Meisen, T Thiele, H Tercan, M Liebenberg, ...
AIP Conference Proceedings 2139 (1), 030003, 2019
Industrial Big Data: Tieferes Prozessverständnis durch Daten
T Thiele, M Hoffmann, T Meisen
Industrie 4.0 Management 2017 (33), 57-60, 2017
A Data-based Method for Industrial Big Data Project Prioritization
F Kuschicke, T Thiele, T Meisen, S Jeschke
Big Data and Internet of Things, 2017
Managing interdisciplinary research clusters
SL Müller, T Thiele, C Jooß, A Richert, R Vossen, I Isenhardt, S Jeschke
2015 IEEE International Conference on Industrial Engineering and Engineering …, 2015
Flow chart based information modeling for factory planning
C Bejjani, J Utsch, T Thiele, T Meisen, S Jeschke, P Burggräf
Procedia CIRP 72, 410-415, 2018
Augmenting research cooperation in production engineering with data analytics
T Thiele, A Calero Valdez, S Stiehm, A Richert, M Ziefle, S Jeschke
Production Engineering, 1-8, 2017
Human-in-the-Loop Processes as Enabler for Data Analytics in Digitalized Organizations
T Thiele, T Sommer, S Schröder, A Richert, S Jeschke
Mensch und Computer 2016 – Workshopbeiträge, 2016
Integrative Knowledge Management in Interdisciplinary Research Clusters
C Jooß, T Thiele, R Vossen, A Richert, S Jeschke
Proceedings of the Eighth International Conference on E-Learning in the …, 2015
Scientific Cooperation Engineering Making Interdisciplinary Knowledge Available within Research Facilities and to External Stakeholders
A Calero Valdez, AK Schaar, T Vaegs, T Thiele, T Kowalski, S Aghassi, ...
10th International Conference on Webometrics, Informetrics, and …, 2014
Knowledge Management in Vocational Training : A Case Study of the EU Project Reload
F Welter, T Thiele, O Pfeiffer, A Richert, S Jeschke
International Journal of Advanced Corporate Learning (iJAC) 3 (4), pp. 45-51., 2010
Smart Factory
T Thiele, T Meisen, S Jeschke
Handbuch Virtualität, 79-96, 2020
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