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Business & Information Systems Engineering at the University of Bayreuth

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Team > Prof. Dr. Niklas Kühl

Overview
Overview
Niklas Kühl Prof. Dr. Niklas Kühl
Niklas Kühl

Faculty of Law, Business Management and Economics
Information Systems and human-centric Artificial Intelligence


Portrait

Niklas Kühl is a W3 professor and holder of the Chair for Business Informatics and Human-Centered Artificial Intelligence at the University of Bayreuth. He also holds a leadership position at the WI institute of the Fraunhofer FIT. Additionally, he is a member of the core competence center for finance and information management and a senior expert in artificial intelligence at IBM. His research focuses on the intersection of machine learning and its application in innovative contexts in industry and society. He combines technical and human-centered methods in the development of socio-technical information systems, including automated recognition of needs in social media, machine learning across enterprise boundaries, the development of robust and scalable AI products, the design of human-AI collaboration, research into appropriate human trust in AI decision-making, the establishment of fairness in AI decision-making, and the impacts and benefits of AI for sustainability issues.

From 2020 to 2023, Niklas Kühl worked as a managing consultant in data science at IBM, where he led AI projects in the energy sector. From 2017 to 2023, he was a postdoctoral researcher at the Karlsruhe Service Research Institute (KSRI) of the KIT, where he established and led the Applied AI in Services Lab. He earned his PhD with summa cum laude in 2017 from KIT on the topic of "Needmining: Automated Analytical Support for Customer Need Elicitation." Before that, he studied industrial engineering, also at KIT. During his studies, he gained practical experience at Porsche Business Services in Chicago, Porsche AG in Weissach, and aleo solar GmbH in Oldenburg.

Niklas Kühl collaborates with various international institutions where he completes regular research stays and presents the results of his research. These include the University of Warwick, the University of Auckland, the MIT-IBM Watson AI Lab, the Wharton School at the University of Pennsylvania, and the University of Texas at Austin. He has published over 100 peer-reviewed articles, including contributions to journals such as Cognitive Systems Research, Communications of the AIS, Journal of Cleaner Production, Business & Information Systems Engineering, Information Systems Frontiers, Electronic Markets, Journal of Service Management, Information Technology & Management, Flexible Services and Manufacturing, and conference proceedings such as AAAI, ECML/PKDD, ACM FAccT, ACM CSCW, ACM/AAAI AIES, ACM IUI, IEEE ITSC, IEEE/ACM CCGrid, ICIS, ECIS, HICSS, IEEE CBI, and others. His contributions have been awarded various Best Paper Awards.

He is a member of the German Data Science Society (GDS), the Association for Computing Machinery (ACM), the Association for Information Systems (AIS), the Association of University Professors and Lecturers in Business Administration (VHB), and the German Association of University Professors and Lecturers (DHV). In 2015, he founded the Education for Refugees e.V. association, which provides systematic educational opportunities in STEM subjects for refugees. He served as chairman for seven years.

For further information and updates, please visit his personal website or LinkedIn.

Niklas Kühl

Faculty of Law, Business Management and Economics
Information Systems and human-centric Artificial Intelligence


Publications

2023

Franziska Haller, Max Schemmer, Niklas Kühl, Carsten Holtmann: Conceptualizing a Multi-Sided Platform for Cloud Computing Resource Trading. - Veranstaltung: The 31st European Conference on Information Systems (ECIS 2023), 11.-16.06.2023, Kristiansand, Norwegen.

Philipp Spitzer, Niklas Kühl, Daniel Heinz, Gerhard Satzger: ML-Based Teaching Systems : A Conceptual Framework. - Veranstaltung: CSCW '23 Companion : Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing, 14.-18.10.2023, Minneapolis , MN , USA.

Jakob Schöffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger: On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. In: Hybrid Human Artificial Intelligence (HHAI2023). - Heidelberg : 2023.

Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler: Toward Foundation Models for Earth Monitoring : Generalizable Deep Learning Models for Natural Hazard Segmentation. In: 2023 IEEE International Geoscience and Remote Sensing Symposium : Proceedings. - Piscataway, NJ : 2023.
doi:10.48550/arXiv.2301.09318

Max Schemmer, Niklas Kühl, Carina Benz, Andrea Bartos, Gerhard Satzger: Appropriate Reliance on AI Advice : Conceptualization and the Effect of Explanations. In: Proceedings of the 28th International Conference on Intelligent User Interfaces : IUI '23. - New York, NY, USA : Association for Computing Machinery, 2023. - S. 410-422.
doi:10.1145/3581641.3584066

Jannis Walk, Niklas Kühl, Michael Saidani, Jürgen Schatte: Artificial intelligence for sustainability : Facilitating sustainable smart product-service systems with computer vision. In: Journal of Cleaner Production, 402 (2023). - .
doi:10.1016/j.jclepro.2023.136748

Marco Geiger, Dominik Martin, Niklas Kühl: Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images. In: Proceedings of the 56th Hawaii International Conference on System Sciences. - Honolulu, HI : 2023. - S. 826-834.

Christopher Beckmann, Benjamin Berens, Niklas Kühl, Peter Mayer, Mattia Mossano, Melanie Volkamer: Design and Evaluation of an Anti-Phishing Artifact Based on Useful Transparency. In: 12th International Workshop on Socio-Technical Aspects in Security. - Cham : 2023.

Lucas Baier, Tim Schlör, Jakob Schöffer, Niklas Kühl: Detecting Concept Drift With Neural Network Model Uncertainty. In: Proceedings of the 56th Hawaii International Conference on System Sciences. - Honolulu, HI : 2023. - S. 836-844.

Robin Hirt, Niklas Kühl, Dominik Martin, Gerhard Satzger: Enabling Inter-organizational Analytics in Business Networks Through Meta Machine Learning. In: Information Technology & Management, (2023). - .

Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl: Learning to Defer with Limited Expert Predictions. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence. - Washington, DC, USA : 2023.

Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl: Machine learning operations (mlops) : Overview, definition, and architecture. In: IEEE Access, 11 (2023). - S. 31866-31879.
doi:10.1109/ACCESS.2023.3262138

2022

Niklas Kühl: Towards ML products : MLOps & Complementarity. - Veranstaltung: Healthy AI Lab at Chalmers University of Technology, 04.11.2022, Göteborg, Schweden.

Niklas Kühl: Human-AI Complementarity. - Veranstaltung: University of Texas, 03.03.2022, Austin, TX.

Maximilian Stauder, Niklas Kühl: AI for in-line vehicle sequence controlling : development and evaluation of an adaptive machine learning artifact to predict sequence deviations in a mixed-model production line. In: Flexible Services and Manufacturing Journal, 34 (2022). - S. 709-747.
doi:10.1007/s10696-021-09430-x

Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger: Artificial intelligence and machine learning. In: Electronic Markets, 32 (2022). - S. 2235-2244.
doi:10.1007/s12525-022-00598-0

Moritz von Zahn, Stefan Feuerriegel, Niklas Kühl: The cost of fairness in AI : Evidence from e-commerce. In: Business & Information Systems Engineering, 64 (2022). - S. 335-348.
doi:10.1007/s12599-021-00716-w

Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger: Data-centric Artificial Intelligence.. - Karlsruhe, 2022. -
doi:10.48550/arXiv.2212.11854

Dominik Martin, Simon Heinzel, Johannes Kunze von Bischhoffshausen, Niklas Kühl: Deep Learning Strategies for Industrial Surface Defect Detection Systems. In: Tung X. Bui (Hrsg.): Proceedings of the 55th Annual Hawaii International Conference on System Sciences. - Honolulu, HI : 2022. - S. 1188-1197.

Julius Peter Landwehr, Niklas Kühl, Jannis Walk, Mario Gnädig: Design knowledge for deep-learning-enabled image-based decision support systems : evidence from power line maintenance decision-making in press. In: Business & Information Systems Engineering, 64 (2022). - S. 707-728.
doi:10.1007/s12599-022-00745-z

Max Schemmer, Patrick Hemmer, Niklas Kühl, Sebastian Schäfer: Designing Resilient AI-based Robo-Advisors : A Prototype for Real Estate Appraisal. - Veranstaltung: 17th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2022), 01.-03.06.2022, St. Petersburg, FL.
doi:10.5445/IR/1000147670

Michael Vössing, Niklas Kühl, Matteo Lind, Gerhard Satzger: Designing Transparency for Effective Human-AI Collaboration. In: Information Systems Frontiers, 24 (2022). - S. 877-895.
doi:10.1007/s10796-022-10284-3

Martin Maritsch, Kevin Koch, Hauke Thomsen, Niklas Kühl, Matthias Pfäffli, Wolfgang Weinmann, Felix Wortmann: Driver state prediction from vehicle signals : An evaluation of segmentation approaches. In: IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). - Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2022. - S. 1106-1113.
doi:10.1109/ITSC55140.2022.9922011

Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl: An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2022 ; Proceedings. Part I. - Cham : Springer, 2022. - S. 353-368.
doi:10.1007/978-3-031-23618-1_24

Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl: Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making. In: Proceedings of the 30th European Conference on Information Systems (ECIS). - s.l. : Association for Information Systems, 2022.

Patrick Hemmer, Max Schemmer, Lara Riefle, Nico Rosellen, Michael Vössing, Niklas Kühl: Factors that Influence the Adoption of Human-AI Collaboration in Clinical Decision-Making.. - Karlsruhe, 2022. -
doi:10.5445/IR/1000146871

Enrico Bunde, Niklas Kühl, Christian Meske: Fake or Credible? : Towards Designing Services to Support Users' Credibility Assessment of News Content. In: Tung X. Bui (Hrsg.): Proceedings of the 55th Hawaii International Conference on System Sciences. - Honolulu, HI : 2022. - S. 1883-1892.

Niklas Kühl, Marc Goutier, Lucas Baier, Clemens Wolff, Dominik Martin: Human vs. supervised machine learning : Who learns patterns faster?. In: Cognitive Systems Research, 76 (2022). - S. 78-92.
doi:10.1016/j.cogsys.2022.09.002

Lucas Baier, Niklas Kühl, Jörg Schmitt: Increasing Robustness for Machine Learning Services in Challenging Environments : Limited Resources and No Label Feedback. In: Kohei Arai (Hrsg.): Intelligent Systems and Applications : Proceedings of the 2021 Intelligent Systems Conference. Volume 1. - Cham : Springer International Publishing, 2022. - S. 837-856.
doi:10.1007/978-3-030-82193-7_57

Max Schemmer, Niklas Kühl, Gerhard Satzger: Intelligent Decision Assistance Versus Automated Decision-Making : Enhancing Knowledge Work Through Explainable Artificial Intelligence. In: Tung X. Bui (Hrsg.): Proceedings of the 55th Hawaii International Conference on System Sciences. - Honolulu, HI : 2022. - S. 1490-1499.

Christoph Sager, Patrick Zschech, Niklas Kühl: labelCloud : A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds. In: Computer-Aided Design and Applications, 19 (2022). - S. 1191-1206.
doi:10.14733/cadaps.2022.1191-1206

Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl, Michael Vössing: A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making. In: Vincent Conitzer (Hrsg.): Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. - New York : Association for Computing Machinery, 2022. - S. 617-626.
doi:10.1145/3514094.3534128

Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger: On the Effect of Information Asymmetry in Human-AI Teams.. - Karlsruhe, 2022. -
doi:10.48550/arXiv.2205.01467

Max Schemmer, Niklas Kühl, Carina Benz, Gerhard Satzger: On the Influence of Explainable AI on Automation Bias. In: Proceedings of the 30th European Conference on Information Systems (ECIS). - s.l. : Association for Information Systems, 2022.

Jakob Schöffer, Maria De-Arteaga, Niklas Kühl: On the Relationship Between Explanations, Fairness Perceptions, and Decisions. - Veranstaltung: ACM CHI Workshop on Human-Centered Explainable AI (HCXAI 2022), 12.-13.05.2022, Online.
doi:10.5445/IR/1000147721

Jakob Schöffer, Maria De-Arteaga, Niklas Kühl: On the Relationship Between Explanations, Fairness Perceptions, and Decisions.. - Karlsruhe, 2022. -
doi:10.5445/IR/1000145726

Max Schemmer, Patrick Hemmer, Niklas Kühl, Carina Benz, Gerhard Satzger: Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making.. - Karlsruhe, 2022. -
doi:10.5445/IR/1000145647

Niklas Kühl, Jonas Lehner: Technische Bildungsangebote für Geflüchtete : Der Verein Education for Refugees. In: Wolffried Stucky (Hrsg.): 50 Jahre AIFB : von 1971 bis 2021. 2. korrigierte, erweiterte Auflage. - Karlsruhe : Karlsruher Institut für Technologie (KIT), 2022. - S. 211-213.

Jakob Schöffer, Niklas Kühl, Yvette Machowski: "There Is Not Enough Information" : On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making. In: 2022 ACM Conference on Fairness, Accountability, and Transparency : FAccT '22. - New York : Association for Computing Machinery, 2022. - S. 1616-1628.
doi:10.1145/3531146.3533218

Philipp Spitzer, Niklas Kühl, Marc Goutier: Training Novices : The Role of Human-AI Collaboration and Knowledge Transfer. - Veranstaltung: Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022), The 39th International Conference on Machine Learning, 23.07.2022, Baltimore, MD, USA.
doi:10.48550/arXiv.2207.00497

Patrick Hemmer, Niklas Kühl, Jakob Schöffer: Utilizing Active Machine Learning for Quality Assurance : A Case Study of Virtual Car Renderings in the Automotive Industry. In: Tung X. Bui (Hrsg.): Proceedings of the 55th Annual Hawaii International Conference on System Sciences. - Honolulu, HI : 2022. - S. 1246-1265.

Thu Hang Do Thi, Markus Dobler, Niklas Kühl: What to Prioritize? : Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development. In: Tung X. Bui (Hrsg.): Proceedings of the 55th Annual Hawaii International Conference on System Sciences. - Honolulu, HI : 2022. - S. 798-807.

2021

Michael Vössing, Niklas Kühl, Gerhard Satzger: Transparency in Human-Computer Collaboration : Should I Know What My Computer Is Thinking?. - Veranstaltung: Frontiers in Service Conference (2021), 09.-10.07.2021, online.

Lucia Schuler, Somaya Jamil, Niklas Kühl: AI-based Resource Allocation : Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments. In: Laurent Lefevre, Stacy Patterson, Young Choon Lee, Haiying Shen, Shashikant Ilager, Mohammad Goudarzi, Adel N. Toosi, Rajkumar Buyya (Hrsg.): 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021) : Proceedings. - Piscataway, NJ : IEEE, 2021. - S. 804-811.
doi:10.1109/CCGrid51090.2021.00098

Jakob Schöffer, Niklas Kühl: Appropriate Fairness Perceptions? : On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems. In: Jeremy Birnholtz, Luigina Ciolfi, Sharon Ding, Susan Fussell, Andrés Monroy-Hernández, Sean Munson, Irina Shklovski, Mor Naaman (Hrsg.): Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing : CSCW '21 Companion. - New York : Association for Computing Machinery, 2021. - S. 153-157.
doi:10.1145/3462204.3481742

Melanie Reuter-Oppermann, Niklas Kühl: Artificial Intelligence for Healthcare Logistics : An Overview and Research Agenda. In: Malek Masmoudi, Bassem Jarboui, Patrick Siarry (Hrsg.): Artificial Intelligence and Data Mining in Healthcare. - Cham : Springer, 2021. - S. 1-22.
doi:10.1007/978-3-030-45240-7_1

Max Schemmer, Daniel Heinz, Lucas Baier, Michael Vössing, Niklas Kühl: Conceptualizing Digital Resilience for AI-Based Information Systems. - Veranstaltung: 29th European Conference on Information Systems (ECIS 2021), 14.-16. Juni 2021, Marrakech, Morocco, Virtual.
doi:10.5445/IR/1000131812/post

Tobias Enders, Niklas Kühl, Jannis Walk, Marc Muff: Designing Chemical Emergency Response Systems Based on Open Data. In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54). - Honolulu, HI : University of Hawai'i at Manoa, 2021. - S. 2255-2264.
doi:10.24251/HICSS.2021.276

Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer: "Healthy surveillance" : Designing a concept for privacy-preserving mask recognition AI in the age of pandemics. In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54). - Honolulu, HI : University of Hawai'i at Manoa, 2021. - S. 1706-1715.

Niklas Kühl, Robin Hirt, Lucas Baier, Björn Schmitz, Gerhard Satzger: How to Conduct Rigorous Supervised Machine Learning in Information Systems Research : The Supervised Machine Learning Report Card. In: Communications of the Association for Information Systems, 48 (2021). - S. 589-615.
doi:10.17705/1CAIS.04845

Patrick Hemmer, Max Schemmer, Michael Vössing, Niklas Kühl: Human-AI Complementarity in Hybrid Intelligence Systems : A Structured Literature Review. In: PACIS 2021 Proceedings. - s.l. : 2021.

Markus Brandes, Stephan Osthues, Matthias Bach, Peter Schel, Arne Büsching, Udo Schmidt, Michael Monger, Friedrich Schnürer, Patricia Müller, Gerhard Satzger, Niklas Kühl, Michael Vössing, Max Schemmer: IBM Service Transformation : From product suppliers to service providers. - , 2021. 26 S.
doi:10.5445/IR/1000131813

Christoph Sager, Patrick Zschech, Niklas Kühl: labelCloud : A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds. In: Proceedings of CAD'21. - El Paso, TX, USA : CAD Solutions LLC, 2021. - S. 319-323.
doi:10.14733/cadconfP.2021.319-323

Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl: A Picture is Worth a Collaboration : Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems. In: Proceedings of the 29th European Conference on Information Systems (ECIS). - s.l. : 2021.

Jakob Schöffer, Niklas Kühl, Isabel Valera: A Ranking Approach to Fair Classification. In: COMPASS '21 : Proceedings of the 4th ACM SIGCAS Conference on Computing and Sustainable Societies. - New York : Association for Computing Machinery, 2021. - S. 115-125.
doi:10.1145/3460112.3471950

Robin Hirt, Akash Srivastava, Carlos Berg, Niklas Kühl: Sequential Transfer Machine Learning in Networks : Measuring the Impact of Data and Neural Net Similarity on Transferability. In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54). - Honolulu, HI : University of Hawai'i at Manoa, 2021. - S. 7078-7087.
doi:10.24251/HICSS.2021.851

Jakob Schöffer, Yvette Machowski, Niklas Kühl: A Study on Fairness and Trust Perceptions in Automated Decision Making. In: Dorota Glowacka, Vinayak Krishnamurthy (Hrsg.): Joint Proceedings of the ACM IUI 2021 Workshops. - Aachen : RWTH Aachen, 2021.
doi:10.5445/IR/1000130551

Lucas Baier, Vincent Kellner, Niklas Kühl, Gerhard Satzger: Switching Scheme : A Novel Approach for Handling Incremental Concept Drift in Real-World Data Sets. In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54). - Honolulu, HI : University of Hawai'i at Manoa, 2021. - S. 990-999.

Dominik Martin, Niklas Kühl, Marcel Schwenk: Towards a Reference Architecture for Future Industrial Internet of Things Networks. In: João Paulo A. Almeida, Dominik Bork, Giancarlo Guizzardi, Marco Montali, Henderik A. Proper, Tiago P. Sales (Hrsg.): 2021 IEEE 23rd Conference on Business Informatics : CBI 2021. Volume 2. CBI Forum and Workshop Papers. - Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2021. - S. 1-9.
doi:10.1109/CBI52690.2021.10049

Alexander Treiss, Jannis Walk, Niklas Kühl: An Uncertainty-Based Human-in-the-Loop System for Industrial Tool Wear Analysis. In: Yuxiao Dong, Georgiana Ifrim, Dunja Mladenić, Craig Saunders, Sofie Van Hoecke (Hrsg.): Machine Learning and Knowledge Discovery in Databases : Applied Data Science and Demo Track ; Proceedings, Part V. - Cham : Springer, 2021. - S. 85-100.
doi:10.1007/978-3-030-67670-4_6

Dominik Martin, Niklas Kühl, Gerhard Satzger: Virtual Sensors. In: Business & Information Systems Engineering, 63 (2021). - S. 315-323.
doi:10.1007/s12599-021-00689-w

Lucas Baier, Niklas Kühl, Ronny Schüritz, Gerhard Satzger: Will the Customers Be Happy? : Identifying Unsatisfied Customers from Service Encounter Data. In: Journal of Service Management, 32 (2021). - S. 265 - 288.
doi:10.1108/JOSM-06-2019-0173

2020

Niklas Kühl, Dominik Martin, Clemens Wolff, Melanie Volkamer: "Healthy surveillance" : Designing a concept for privacy-preserving mask recognition AI in the age of pandemics. - Karlsruhe, 2020. - 10 S.
doi:10.5445/IR/1000120631

Patrick Hemmer, Niklas Kühl, Jakob Schöffer: DEAL : Deep Evidential Active Learning for Image Classification. In: M. Arif Wani, Feng Luo, Xiaolin (Andy) Li, Dejing Dou, Francesco Bonchi (Hrsg.): 19th IEEE International Conference On Machine Learning And Applications : ICMLA 2020 ; Proceedings. - Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2020. - S. 865-870.
doi:10.1109/ICMLA51294.2020.00141

Clemens Wolff, Niklas Kühl, Gerhard Satzger: Engineering Industrial Service Systems : Design and Evaluation of System-Oriented Service Delivery. In: Sara Hofmann, Oliver Müller, Matti Rossi (Hrsg.): Designing for Digital Transformation : Co-Creating Services with Citizens and Industry ; DESRIST 2020, Proceedings. - Cham : Springer, 2020. - S. 407-419.
doi:10.1007/978-3-030-64823-7_39

Henriqueta Nóvoa, Monica Drăgoicea, Niklas Kühl: Exploring Service Science : 10th International Conference, IESS 2020 ; Proceedings. - Cham : Springer, 2020. - xi, 400 S.
doi:10.1007/978-3-030-38724-2

Dominik Martin, Niklas Kühl, Maria Maleshkova: Grasping the Terminology : Smart Services, Smart Service Systems, and Cyber-Physical Systems. In: Maria Maleshkova, Niklas Kühl, Philipp Jussen (Hrsg.): Smart Service Management : Design Guidelines and Best Practices. - Cham : Springer, 2020. - S. 7-21.
doi:10.1007/978-3-030-58182-4_2

Jannis Walk, Robin Hirt, Niklas Kühl, Erik R. Hersløv: Half-empty or half-full? : A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime. In: Henriqueta Nóvoa, Monica Drăgoicea, Niklas Kühl (Hrsg.): Exploring Service Science : 10th International Conference, IESS 2020 ; Proceedings. - Cham : Springer International Publishing, 2020. - S. 107-120.
doi:10.1007/978-3-030-38724-2_8

Lucas Baier, Josua Reimold, Niklas Kühl: Handling Concept Drift for Predictions in Business Process Mining. In: 2020 IEEE 22nd Conference on Business Informatics : CBI 2020 ; Proceedings. - Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2020. - S. 76-83.
doi:10.1109/CBI49978.2020.00016

Lucas Baier, Marcel Hofmann, Niklas Kühl, Marisa Mohr, Gerhard Satzger: Handling Concept Drifts in Regression Problems : the Error Intersection Approach. In: Norbert Gronau, Moreen Heine, Hanna Krasnova, K. Poustcchi (Hrsg.): Entwicklungen, Chancen und Herausforderungen der Digitalisierung : Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik 2020. Band 1. - Berlin : GITO Verlag, 2020. - S. 210-224.
doi:10.30844/wi_2020_c1-baier

Robin Hirt, Niklas Kühl, Yusuf Peker, Gerhard Satzger: How to Learn from Others : Transfer Machine Learning with Additive Regression Models to Improve Sales Forecasting. In: 2020 IEEE 22nd Conference on Business Informatics : CBI 2020 ; Proceedings. - Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2020. - S. 20-29.
doi:10.1109/CBI49978.2020.00010

Michael Vössing, Niklas Kühl: Industrial Maintenance in the Digital World. In: Maria Maleshkova, Niklas Kühl, Philipp Jussen (Hrsg.): Smart Service Management : Design Guidelines and Best Practices. - Cham : Springer, 2020. - S. 23-32.
doi:10.1007/978-3-030-58182-4_3

Tristan Karb, Niklas Kühl, Robin Hirt, Varvara Glivici-Cotruță: A network-based transfer learning approach to improve sales forecasting of new products. In: Proceedings of the 28th European Conference on Information Systems (ECIS). - Marrakech, Morocco : 2020.

Dominik Martin, Philipp Spitzer, Niklas Kühl: A New Metric for Lumpy and Intermittent Demand Forecasts : Stock-keeping-oriented Prediction Error Costs. In: Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53). - Honolulu, Hawaii : ScholarSpace, 2020. - S. 974-983.

Niklas Kühl, Hansjörg Fromm, Jakob Schöffer, Gerhard Satzger: Service Analytics : Putting the "Smart" in Smart Services. In: Maria Maleshkova, Niklas Kühl, Philipp Jussen (Hrsg.): Smart Service Management : Design Guidelines and Best Practices. - Cham : Springer, 2020. - S. 151-159.
doi:10.1007/978-3-030-58182-4_13

Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen: Smart Services : A Condition Monitoring Use Case Utilizing System-Wide Analyses. In: Maria Maleshkova, Niklas Kühl, Philipp Jussen (Hrsg.): Smart Service Management : Design Guidelines and Best Practices. - Cham : Springer, 2020. - S. 179-191.
doi:10.1007/978-3-030-58182-4_16

Niklas Kühl, Marius Mühlthaler, Marc Goutier: Supporting customer-oriented marketing with artificial intelligence : automatically quantifying customer needs from social media. In: Electronic Markets, 30 (2020). - S. 351-367.
doi:10.1007/s12525-019-00351-0

Dominik Martin, Niklas Kühl, Johannes Kunze von Bischhoffshausen, Gerhard Satzger: System-wide Learning in Cyber-Physical Service Systems : A Research Agenda. In: Sara Hofmann, Oliver Müller, Matti Rossi (Hrsg.): Designing for Digital Transformation : Co-Creating Services with Citizens and Industry ; DESRIST 2020, Proceedings. - Cham : Springer, 2020. - S. 457-468.
doi:10.1007/978-3-030-64823-7_44

Jannis Walk, Niklas Kühl, Jonathan Schäfer: Towards Leveraging End-of-Life Tools as an Asset : Value Co-Creation based on Deep Learning in the Machining Industry. In: Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53). - Honolulu, Hawaii : ScholarSpace, 2020. - S. 995-1004.

Alexander Treiss, Jannis Walk, Niklas Kühl: An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis.. - Karlsruhe, 2020. -
doi:10.48550/arXiv.2007.07129

2019

Niklas Kühl: Der Aufstieg von KI : Von grenzenlosen Chancen bis zu existenziellen Risiken. - Veranstaltung: KI goes KMU: Auf die Überholspur? Das „Tanker-Schnellboot-Syndrom“: Von der Chance, große Unternehmen durch Algorithmen, Neuronale Netze und Machine Learning zu überholen, 17.07.-18.07.2019, Köln.

Niklas Kühl: Artificial Intelligence in Service Systems. - Veranstaltung: Wharton School Research Talk, 22.03.2019, Philadelphia, PA, USA.

Robin Hirt, Niklas Kühl: How to Learn from Others? A Research Agenda on Transfer Machine Learning for Sales Forecasting. - Veranstaltung: MIT-IBM Watson AI Lab (2019), Cambridge, MA, USA.

Clemens Wolff, Steven O. Kimbrough, Niklas Kühl: Analyzing the Impact of Strategic Behavior in System-Oriented Service Delivery. In: Proceedings of the 40th International Conference on Information Systems (ICIS 2019) : Smart Service Systems and Service Science. - s.l. : AIS eLibrary (AISeL), 2019.

Niklas Kühl: Applied AI in Services. - Veranstaltung: Research Presentation (2019), The Wharton School of the University of Pennsylvania, 22.03.2019, Philadelphia, PA, USA.

Niklas Kühl: Artificial Intelligence in Service Systems. - Veranstaltung: Invited Seminar (2018), University of Auckland, Auckland, Neuseeland, 19.12.2018.

Niklas Kühl, Dominik Martin, Gerhard Satzger: Automatically Extracting and Analyzing Customer Needs from Twitter : A "Needmining" Prototype. In: Thomas Ludwig, Volkmar Pipek (Hrsg.): Human Practice, Digital Ecologies, Our Future : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) ; Tagungsband. - Siegen : Universität Siegen, 2019. - S. 1981-1984.

Robin Hirt, Niklas Kühl: Cognition in the Era of Smart Service Systems : Inter-organizational Analytics through Meta and Transfer Learning. In: Bridging the Internet of People, Data, and Things : 39th International Conference on Information Systems (ICIS 2018). Volume 5. - Red Hook, NY : Curran Associates, Inc., 2019. - S. 4099-4107.

Robin Hirt, Niklas Kühl, Gerhard Satzger: Cognitive computing for customer profiling : meta classification for gender prediction. In: Electronic Markets, 29 (2019). - S. 93-106.
doi:10.1007/s12525-019-00336-z

Michael Vössing, Matteo Lind, Niklas Kühl, Gerhard Satzger: Design Principles for Human-Computer Collaboration. In: Stefan Morana, Jella Pfeiffer (Hrsg.): Proceedings of the Workshop on Designing User Assistance in Intelligent Systems, Stockholm, Sweden, 2019. - Karlsruhe : Karlsruher Institut für Technologie, 2019. - S. 13-15.
doi:10.5445/IR/1000095225

Michael Vössing, Felix Potthoff, Niklas Kühl, Gerhard Satzger: Designing Useful Transparency to Improve Process Performance : Evidence from an Automated Production Line. In: ECIS 2019 proceedings. - s.l. : Association for Information Systems, 2019.

Niklas Kühl, Jodie Lobana, Christian Meske: Do you comply with AI? : Personalized explanations of learning algorithms and their impact on employees' compliance behavior. In: Proceedings of the 40th International Conference on Information Systems (ICIS 2019) : Paper-A-Thon. - s.l. : AIS eLibrary (AISeL), 2019.

Dominik Martin, Niklas Kühl: Holistic System-Analytics as an Alternative to Isolated Sensor Technology : A Condition Monitoring Use Case. In: Tung X. Bui (Hrsg.): Proceedings of the 52nd Annual Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2019. - S. 1005-1012.
doi:10.24251/HICSS.2019.124

Lucas Baier, Niklas Kühl, Gerhard Satzger: How to Cope with Change? Preserving Validity of Predictive Services over Time. In: Tung X. Bui (Hrsg.): Proceedings of the 52nd Annual Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2019. - S. 1085-1094.

Niklas Kühl, Marc Goutier, Axel Ensslen, Patrick Jochem: Literature vs. Twitter : Empirical insights on customer needs in e-mobility. In: Journal of Cleaner Production, 213 (2019). - S. 508-520.
doi:10.1016/j.jclepro.2018.12.003

Niklas Kühl, Marc Goutier, Robin Hirt, Gerhard Satzger: Machine Learning in Artificial Intelligence : Towards a Common Understanding. In: Tung X. Bui (Hrsg.): Proceedings of the 52nd Annual Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2019. - S. 5236-5245.

Clemens Wolff, Melanie Reuter-Oppermann, Niklas Kühl: On the Impact of the Customer Base on the Added Value through System-Oriented Service Delivery in Industrial Maintenance. In: Tung X. Bui (Hrsg.): Proceedings of the 52nd Annual Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2019. - S. 1896-1905.

Dominik Martin, Robin Hirt, Niklas Kühl: Service Systems, Smart Service Systems and Cyber-Physical Systems : What’s the difference? Towards a Unified Terminology. In: Thomas Ludwig, Volkmar Pipek (Hrsg.): Human Practice, Digital Ecologies, Our Future : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) ; Tagungsband. - Siegen : Universität Siegen, 2019. - S. 17-31.

Gerhard Satzger, Niklas Kühl, Andrea Martin: Unterstützung der Wissensarbeit durch Künstliche Intelligenz : Anforderungen an die Gestaltung maschinellen Lernens. In: Arbeit interdisziplinär : analysieren, bewerten, gestalten ; 65. Kongress der Gesellschaft für Arbeitswissenschaft. - Dortmund : GfA-Press, 2019.
doi:10.5445/IR/1000088849

2018

Niklas Kühl: Künstliche Intelligenz für industrielle Dienstleistungen. - Veranstaltung: Schmalenbach Arbeitskreis "Unternehmenswachstum und Internationales Management", 12.10.2018, Karlsruhe.

Niklas Kühl: From Goldfish to God : The (dangerous) Growth of AI. - Veranstaltung: Artificial Intelligence Conference, Canadian-German Chamber of Industry and Commerce (2018), 21.06.2018, Karlsruhe.

Niklas Kühl: IGNITE-Talk : How to design successful products and services with Needmining. - Veranstaltung: 51st Hawaii International Conference on System Sciences (HICSS 2018), 03.-06.01.2018, Waikoloa, HI, USA.

Niklas Kühl, Marius Mühlthaler, Marc Goutier: Automatically Quantifying Customer Need Tweets : Towards a Supervised Machine Learning Approach. In: 51st Hawaii International Conference on System Sciences (HICSS 2018). Volume 1. - Red Hook, NY : Curran Associates, Inc., 2018. - S. 467-476.

Svenja Laing, Niklas Kühl: Comfort-as-a-Service : Designing a User-Oriented Thermal Comfort Artifact for Office Buildings. In: Bridging the Internet of People, Data, and Things : 39th International Conference on Information Systems (ICIS 2018). Volume 2. - Red Hook, NY : Curran Associates, Inc., 2018. - S. 863-879.

Exploring Service Science : 9th International Conference, IESS 2018 ; Proceedings. - Gerhard Satzger, Lia Patricio, Mohamed Zaki, Niklas Kühl, Peter Hottum (Hrsg.). - Cham : Springer, 2018. - XIII, 416 S.
doi:10.1007/978-3-030-00713-3

Niklas Kühl, Marc Goutier: Needmining : Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data. In: Andreas Fink, Armin Fügenschuh, Martin Josef Geiger (Hrsg.): Operations Research Proceedings 2016 : Selected Papers of the Annual International Conference of the German Operations Research Society (GOR). - Cham : Springer, 2018. - S. 165-170.
doi:10.1007/978-3-319-55702-1

Clemens Wolff, Niklas Kühl, Gerhard Satzger: System-Oriented Service Delivery : The Application of Service System Engineering to Service Delivery. In: Proceedings of the 26th European Conference on Information Systems (ECIS). - Portsmouth, UK : Association for Information Systems, 2018.

Robin Hirt, Niklas Kühl, Björn Schmitz, Gerhard Satzger: Towards Service-oriented Cognitive Analytics for Smart Service Systems. In: Proceedings of the 51st Hawaii International Conference on System Sciences. - Honolulu, HI : University of Hawaii at Manoa, 2018. - S. 1622-1629.

Clemens Wolff, Michael Vössing, Niklas Kühl: Using Monte-Carlo Simulation to Measure the Business-Relevant Impact of Planning Uncertainty on Field Service Delivery. In: Markus Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, B. Johansson (Hrsg.): Simulation for a noble cause : Proceedings of the 2018 Winter Simulation Conference. - Piscataway, NJ : IEEE Press, 2018. - S. 3205-3216.
doi:10.1109/WSC.2018.8632259

Dominik Martin, Niklas Kühl, Carola Stryja, Jan Haude: White Spots in Business and IT : An Explorative Study for E-Mobility Services. In: World Electric Vehicle Journal, 9 (2018). - .
doi:10.3390/wevj9020027

Niklas Kühl: White spots in business and IT : An explorative study for e-mobility services. In: 30th International Electric Vehicle Symposium (EVS 30). Volume 4. - Red Hook, NY : Curran Associates, Inc., 2018. - S. 2225-2233.

2017

Robin Hirt, Niklas Kühl: Abbildung kognitiver Fähigkeiten mit Metamodellen. In: Maximilian Eibl, Martin Gaedke (Hrsg.): INFORMATIK 2017. Band 3. - Bonn : Gesellschaft für Informatik (GI), 2017. - S. 2301-2307.
doi:10.18420/in2017_231

Christian Engel, Jan Haude, Niklas Kühl: Business Model Clustering : A network-based approach in the field of e-mobility services. In: Peter Hottum, Melanie Reuter-Oppermann, Margeret Hall, Maria Maleshkova, Patrick Jochem (Hrsg.): Proceedings of the Second KSS Research Workshop : Karlsruhe, Germany, February, 2016. - Karlsruhe : Karlsruher Institut für Technologie, 2017. - S. 11-25.
doi:10.5445/IR/1000076317

Niklas Kühl, Marc Goutier, Axel Ensslen, Patrick Jochem: Empirical insights on customer needs in e-mobility product service systems. - Veranstaltung: GOR-IE Workshop "Approaches on Operations Research and Industrial Ecology for a Sustainable Resource and Energy Management", 9.-10.03.2017, Freiberg.

Niklas Kühl, Fabian Hunke: Empirische Studie I : Identifizierung von Elektromobilitätsdienstleistungstypen aus dem Atlas mit Data Mining. In: Carola Stryja, Niklas Kühl, Gerhard Satzger (Hrsg.): Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität : Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen. - Stuttagrt : Fraunhofer Verlag, 2017. - S. 43-51.

Robin Hirt, Niklas Kühl, Gerhard Satzger: An End-to-End Process Model for Supervised Machine Learning Classification : From Problem to Deployment in Information Systems. In: Alexander Maedche, Jan vom Brocke, Alan Hevner (Hrsg.): Designing the Digital Transformation : DESRIST 2017 Research in Progress Proceedings. - Karlsruhe : Karlsruher Institut für Technologie, 2017. - S. 55-63.
doi:10.5445/IR/1000069452

Carola Stryja, Niklas Kühl, Gerhard Satzger: Mit Informationstechnologien zu innovativen Dienstleistungen und Geschäftsmodellen in der Elektromobilität : Empirische Studien zu Geschäftsmodellen und IT für Elektromobilitätsdienstleistungen. - Stuttgart : Fraunhofer Verlag, 2017. - 91 S.

Niklas Kühl:Needmining : automated analytical support for customer need elicitation. - Karlsruhe: Karlsruher Institut für Technologie (KIT), 2017. - vii, 200 S.
(Dissertation, 2017, Karlsruher Institut für Technologie (KIT), Fakultät für Wirtschaftswissenschaften)

Niklas Kühl: Needmining : Towards a Modern Approach of Need Elicitation. - Veranstaltung: Doctoral Consortium, 11.-12.02.2017, St. Gallen, Schweiz.

Fabian Hunke, Ronny Schüritz, Niklas Kühl: Towards a Unified Approach to Identify Business Model Patterns : A Case of E-Mobility Services. In: Stefano Za, Monica Drăgoicea, Maurizio Cavallari (Hrsg.): Exploring services science : IESS 2017 ; Proceedings. - Cham : Springer International Publishing, 2017. - S. 182-196.
doi:10.1007/978-3-319-56925-3_15

2016

Axel Ensslen, Niklas Kühl, Carola Stryja, Patrick Jochem: Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles. In: World Electric Vehicle Journal, 8 (2016). - S. 673-684.
doi:10.3390/wevj8030673

Axel Ensslen, Niklas Kühl, Carola Stryja, Patrick Jochem: Methods to Identify User Needs and Decision Mechanisms for the Adoption of Electric Vehicles. In: 29th International Electric Vehicle Symposium 2016 (EVS29) : Proceedings. Volume 1. - Red Hook, NY : Curran Associates, Inc., 2016. - S. 133-145.
doi:10.5445/IR/1000059712

Niklas Kühl, Marc Goutier: “Need tweets” : New insights about customer needs from micro blog data in the field of e-mobility. In: Heinrich C. Mayr, Martin Pinzger (Hrsg.): Informatik 2016. - Bonn : Gesellschaft für Informatik, 2016. - S. 1363-1376.

Niklas Kühl, Gerhard Satzger: Needmining : Analytically Identifying Customer Needs for Designing New Services. - Veranstaltung: 25th Annual Frontiers in Service Conference, 23.- 26.06.2016, Bergen, Norway.

Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger: Needmining : Identifying micro blog data containing customer needs. In: Information systems as a global gateway : research papers. - Istanbul : Association for Information Systems (AIS), 2016.

Niklas Kühl: Needmining : Towards analytical support for service design. In: Theodor Borangiu, Monica Drăgoicea, Henriqueta Nóvoa (Hrsg.): Exploring Services Science : 7th International Conference, IESS 2016 ; Proceedings. - Cham : Springer, 2016. - S. 187-200.
doi:10.1007/978-3-319-32689-4_14

Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger: "Needs from Tweets" : Towards Deriving Customer Needs From Micro Blog Data. In: Volker Nissen, Dirk Stelzer, Steffen Straßburger, Daniel Fischer (Hrsg.): Multikonferenz Wirtschaftsinformatik (MKWI) 2016. Band 2. - Ilmenau : Universitätsverlag, 2016. - S. 1229-1232.

Niklas Kühl, Jonas Lehner: Programming for Refugees : An Active Learning Approach for Teaching Java to Heterogeneous Groups. In: Heinrich C. Mayr, Martin Pinzger (Hrsg.): Informatik 2016. - Bonn : Gesellschaft für Informatik, 2016. - S. 1175-1178.

Niklas Kühl, Dominik Kolz, Sabrina Cocca: Services for Electric Mobility. - Veranstaltung: Leitmesse für Elektromobilität eCarTec 2016 im Rahmen der eMove360°, 18.-20.10.2016, München.

Lena Eckstein, Niklas Kühl, Gerhard Satzger: Towards Extracting Customer Needs from Incident Tickets in IT Services. In: Elena Kornyshova, Geert Poels, Christian Huemer, Isabelle Wattiau, Florian Matthes, Jorge Sanz (Hrsg.): 2016 IEEE 18th Conference on Business Informatics (CBI). Volume 1. Conference papers. - Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2016. - S. 200-207.
doi:10.1109/CBI.2016.30

2015

Ronny Schüritz, Niklas Kühl, Carola Stryja, Peter Hottum, Gerhard Satzger: Business Models for Electric Mobility Services : Development of a user focused framework. - Veranstaltung: 24th Annual Frontiers in Service Conference, 09.-12.07.2015, San Jose, California, USA.

Carola Stryja, Ronny Schüritz, Niklas Kühl, Peter Hottum, Gerhard Satzger: Entwicklung eines Frameworks zur Beschreibung von Geschäftsmodellen für Elektromobilitätsdienstleistungen. - Veranstaltung: Energiesysteme im Wandel : Evolution oder Revolution? 9. Internationale Energiewirtschaftstagung (IEWT 2017), 11.-13.02.2015, Wien, Österreich.

Niklas Kühl, Carola Stryja: Entwurf eines Bewertungsframeworks für IT-gestützte Elektromobilitätsdienstleistungen. In: Daniel Beverungen, Christian Fabry, Walter Ganz, Martin Matzner, Gerhard Satzger (Hrsg.): Dienstleistungsinnovationen für Elektromobilität : Märkte, Geschäftsmodelle, Kooperationen. - Stuttgart : Fraunhofer Verlag, 2015. - S. 25-40.

Jan Scheurenbrand, Christian Engel, Florin Peters, Niklas Kühl: Holistically Defining E-Mobility : A Modern Approach to Systematic Literature Reviews. In: Roland Görlitz, Valentin Bertsch, Simon Caton, Niels Feldmann, Patrick Jochem, Maria Maleshkova, Melanie Reuter-Oppermann (Hrsg.): Proceedings of the First Karlsruhe Service Summit Workshop : Advances in Service Research. - Karlsruhe : KIT Scientific Publishing, 2015. - S. 17-27.
doi:10.5445/KSP/1000045634

Niklas Kühl: Identifying Customer Needs Using Micro Blog Data. - Veranstaltung: RESER 2015 Doctoral Colloquium, 08.-09.09.2015, Roskilde, Denmark.

Peter Hottum, Niklas Kühl, Carola Stryja: Netzwerke und Allianzen. In: Sabrina Cocca, Christian Fabry, Carola Stryia (Hrsg.): Dienstleistungen für Elektromobilität : Ergebnisse einer Expertenstudie. - Stuttgart : Fraunhofer Verlag, 2015. - S. 47-61.

Niklas Kühl

Faculty of Law, Business Management and Economics
Information Systems and human-centric Artificial Intelligence


Prof. Dr. Niklas Kühl
Professor

Wittelsbacherring 10
Raum 3.25
​95444 Bayreuth

Phone: +49 921 55 4756
E-mail: kuehl@uni-bayreuth.de

Webmaster: Sekretariat WI

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