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Univ.-Prof. Dipl.-Wirt.-Inf. Dr. Stefan Thalmann

Bereichsleiter Information Systems

He is professor for business analytics and data science at the University of Graz. Prof. Thalmann is the director of the Center for Business Analytics and Data Science and leads the Information Systems group of the Institute for Operations and Information Systems. Stefan Thalmann holds a habilitation degree (venia legendi), a Ph.D. in Information Systems from the Universtity of Innsbruck and a master’s degree in information systems from the Martin Luther University of Halle-Wittenberg. During his academic career, he was employed at the Martin-Luther-University of Halle-Wittenberg (Germany), Graz University of Technology (Austria), the University of Innsbruck (Austria), the Free University of Bolzano (Italy) and the FH Kufstein (Austria). He worked as AREA manager for the Pro2Future GmbH and as senior researcher for the Know-Center GmbH. Further, he was a visiting researcher at the Learning Technology Research Institute of the London Metropolitan University (UK) and at the Information Technology Research Institute of the University of Jyväskylä (Finland). 
Prof. Thalmann´s research interests include Business Analytics, Data Driven Decision Support, Adoption and Auditing of AI, Explainable AI and Knowledge Protection.

Stefan Thalmann ©wildundwunderbar
©wildundwunderbar

Links:

  • https://at.linkedin.com/in/stefan-thalmann-3b076785
  • https://www.researchgate.net/profile/Stefan_Thalmann
  • https://scholar.google.com/citations?user=NBCVqm4AAAAJ&hl=en
  • https://www.xing.com/profile/Stefan_Thalmann

 

Short-CV

Since 2018Professor for Business Analytics and Data Science at the Karl-Franzens University of Graz.
2016 - 2018Assistant professor at the Graz University of Technology, Institute for Interactive Systems and Data Science.
2017 - 2018Area manager for the area “Cognitive Decision Support” at the Comet Competence Center “Pro2Future”.
2016 - 2018Senior researcher at the Comet Competence Center “Know Center”.
2011 - 2018Lecturer at University of applied sciences Kufstein Tirol, Austria, for Knowledge Management in the master program „Enterprise  Resource Planning Systems and Business Process Management”.
2011 - 2017Assistant professor at the University of Innsbruck, School of Management, Department of Information Systems, Production and Logistics Management, Information Systems.
2012 - 2014Contract professor at the Free University of Bolzano, Italy for „Data and Information Management“ in the bachelor program “Tourism, Sport and Event Management”.
2007 - 2011Research assistant at the University of Innsbruck, School of Management, Department of Information Systems, Production and Logistics Management, Information Systems.
2011Visiting researcher at the University of Jyväskylä (Finnland).
2008Visiting researcher at the London Metropolitan University (UK). 
2006 - 2007Research assistant at the Martin-Luther-University, Halle-Wittenberg, Chair for Information Systems, Information Management. 

 

Projekte und Publikationen

  • Thalmann, Stefan
    AutoML as facilitator of AI adoption in SMEs: an analysis of AutoML use cases. Graz. 30.03.2023.
    Transfer: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    AutoML as facilitator of AI adoption in SMEs: an analysis of AutoML use cases. Graz. 23.03.2023.
    Transfer: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    Collaborative Developement of AI capabilities for SME. Berlin. 27.02.2023.
    Transfer: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    AutoML as facilitator of AI adoption in SMEs: an analysis of AutoML use cases. Graz. 13.02.2023.
    Transfer: Vortrag > Hauptbeitrag
  • Wendland, Matthias; Thalmann, Stefan; Polzer, Anna
    Zertifizierung Künstlicher Intelligenz: Predictive Business Analytics als Treiber der digitalen Transformation.
    In: Wendland, Matthias; Eisenberger, Iris;; ; Niemann, Rainer (Hg.): Smart Regulation: Theorie- und Evidenzbasierte Politik. Tübingen. Mohr Siebeck. 2023. 161 – 175. doi:10.1628/978-3-16-161264-0
    Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag
  • Cordula Kupfer, Rita Prassl, Jürgen Fleiß, Christine Malin, Stefan Thalmann and Bettina Kubicek
    Check the Box! How to deal with automation bias in AI-based personnel selection .
    In: Frontiers in Psychology. 14. 2023. NN. doi:10.3389/fpsyg.2023.1118723
    Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag
  • Christine Malin; Cordula Kupfer; Jürgen Fleiß; Bettina Kubicek; Stefan Thalmann
    In the AI of the Beholder—A Qualitative Study of HR Professionals’ Beliefs about AI-Based Chatbots and Decision Support in Candidate Pre-Selection.
    In: Administrative Sciences. 13. 2023. 231. doi:10.3390/admsci13110231
    Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag
  • Gashi, Milot; Mutlu, Belgin; Thalmann, Stefan
    Impact of Interdependencies: Multi-Component System Perspective toward Predictive Maintenance Based on Machine Learning and XAI.
    In: Applied Sciences. 13,5. 2023. 3088. doi:10.3390/app13053088
    Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag
  • B. Gigerl; Y. Zhao; J. Raminger; J. Bakakeu; R. Kern; S. Thalmann
    Predicting Partial Discharges of Transformers: Decision Support System for Factory Acceptance Test.
    In: N/A (Hg.): 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). N/A. IEEE. 2023. 1687-1691. doi:10.1109/IEEM58616.2023.10406875
    Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper)
  • Jesenko, Berndt; Thalmann, Stefan
    Analysing the Introduction of Data-Driven Service Innovation Processes: Stages of Implementation, Success Factors, and Prerequisites.
    In: Journal of Service Management Research. 7,1. 2023. 39-51. doi:10.5771/2511-8676-2023-1
    Forschung: Beitrag in Zeitschrift > Originalbeitrag/Fachbeitrag
  • Polzer, Anna; Aramburu Goya, Nekane; Cordes, Ann-Kristin; Ramos, Isabel; Thalmann, Stefan;
    Collaborative Development Of AI Capabilities In SME.
    In: European Conference on Information Systems (ECIS 2023) Workshop (Hg.): Democratization of IT through Low Code Development Platforms - A Dream Coming True or Same Same but Different? . Kristiansand. ECIS Workshop. 2023. online.
    Forschung: Beitrag in Sammelwerk/Buch > Kurzbeitrag
  • Polzer, Anna; Zeiringer, Johannes; Thalmann Stefan
    AutoML As Facilitator Of AI Adoption In SMEs: An Analysis Of AutoML Use Cases.
    In: Pucihar, Andreja; Borštnar, Mirjana Kljajić; Bons, Roger W. H.; Ongena, Guido; Heikkilä, Marikka; Vidmar, Doroteja (Hg.): 36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability. June 25 – 28, 2023, Bled, Slovenia, Conference Proceedings. Maribor. University of Maribor University Press. 2023. 713-721. doi:10.18690/um.fov.6.2023.45
    Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper)
  • Christoph G. Schuetz; Matt Selway; Stefan Thalmann; Michael Schrefl
    Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics.
    In: Birgit Vogel-Heuser; ; Manuel Wimmer (Hg.): Digital TransformationCore Technologies and Emerging Topics from a Computer Science Perspective. Berlin, Heidelberg. Springer. 2023. https://link.springer.com/chapter/10.1007/978-3-662-65004-2_14.
    Forschung: Beitrag in Sammelwerk/Buch > Originalbeitrag/Fachbeitrag
  • Somer, Paul; Thalmann, Stefan
    Risk Management of AI in Industry: a Literature Review.
    In: N/A (Hg.): Proceedings of the 15th Mediterranean Conference on Information Systems (MCIS) and the 6th Middle East & North Africa Conference on digital Information Systems (MENACIS). Atlanta, GA. Association for Information Systems (AIS) . 2023. 1-18.
    Forschung: Beitrag in Sammelwerk/Buch > Konferenzbeitrag (Full Paper)
  • Thalmann, Stefan
    Empowering Business Experts in Exploring Datasets using AutoML. Leoben/Virtuell. 18.11.2022.
    Transfer: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    eXplainable AI: Promises and Challenges in Auditing of AI. Graz. 15.11.2022.
    Transfer: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    Challenges of the Black Box: Validating AI and assessing its impact. Ljubljana . 27.10.2022.
    Forschung: Vortrag > Hauptbeitrag
  • Collaborative Development of AI capabilities (CoDeAI)
    Laufzeit: 01.10.2022 - 30.09.2024
    GeldgeberIn: EU (Europäische Kommission)
    Weiteres Projekt (abgeschlossen) > Drittmittelprojekt
  • Probando – Smartes Matching und Market Research
    Laufzeit: 01.10.2022 - 30.06.2023
    GeldgeberIn: FFG (Österr. Forschungsförderungsgesellschaft)
    Weiteres Projekt (abgeschlossen) > Drittmittelprojekt
  • Otrel-Cass, Kathrin; Thalmann, Stefan
    Lernspiel "Digital? Sicher!". In: ORF Steiermark Heute. 15.09.2022
    Transfer: Beitrag in den Medien
  • Thalmann, Stefan
    Caution or Trust in AI? How to design XAI in sensitive Use Cases? Minneapolis, Minnesota, USA / Vereinigte Staaten. 11.08.2022.
    Forschung: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    BePrepared: Be Prepared for Supply Chain Risks in SMEs. Wiesbaden . 18.07.2022.
    Forschung: Vortrag > Hauptbeitrag
  • Ehret, Michael; Thalmann, Stefan
    Institutional Voids and Governance implications of Real-time Data-Ecosystems. Graz. 01.07.2022.
    Forschung: Vortrag > Hauptbeitrag
  • Thalmann, Stefan
    Challenges of the Black Box: Validating AI and assessing its impact in regulated industries. Grenoble. 06.05.2022.
    Forschung: Vortrag > Hauptbeitrag
  • Die Aufbereitung von großen durch Chatbots gesammelten Datenmengen für die Entscheidungsunterstützung von Personalist*innen. (BotRec)
    Laufzeit: 01.05.2022 - 31.03.2023
    GeldgeberIn: sonstige
    Weiteres Projekt (abgeschlossen) > Universitätsintern finanziertes Projekt
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