Dr. Konstantin Hopf

Room: WE5/02.062

Phone: +49 951 863 2236

Email: konstantin.hopf(at)uni-bamberg.de

Consultation hours by appointment

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Academic Career

www.bits-to-energy.ch)
  • 2014 - 2015: Information Systems (M. Sc.), University of Bamberg
  • 2012 - 2013: Foreign semester at University of Sk?vde, Sweden
  • 2010 - 2014: Information Systems (B. Sc.), University of Bamberg
    (The Bachelor's thesis received first place in the IT Cluster Oberfranken e.V. graduation award.)
  • Selected university activities

    • Development and responsibility of the master courses "Business Intelligence & Analytics" (EESYS-BIA-M, V/?, 6 ECTS, winter term), "Data-driven Decision Support" (EESYS-DDS-M, V/?, 6 ECTS, summer term), master seminar "Platforms of Human-AI Collaboration" (WS 2020/21, 3 ECTS)

    • Supervision of over 90 Bachelor's and Master's theses, as well as student project papers in the Information Systems programs at the University of Bamberg

    • Representative of the scientific staff of the Faculty WIAI in the Faculty Council and the Mittelbau-Konvent (2017-2019 and 2019-2021)

    • Lectureship for the course "Business Analytics: Technologies, Methods, and Concepts" at the University of Erlangen-Nuremberg and the course "Business Intelligence" for master programs Strategic Management and Consulting at CBS International Business School, Mainz (since summer term 2021)

    Research Focus

    • Individual applications of (explainable) machine learning for decision support, e.g. energy retailing, energy efficiency, higher education teaching

    • Organizational value creation through (explainable) machine learning applications

    • Data work in companies

    Awards and Honors

    Selected Research Projects

    Selected Research Contributions

    10.1186/s42162-020-00124-6

    Stingl, C., Hopf, K., Staake, T. (2018). Explaining and predicting annual electricity demand of enterprises – A case study from Switzerland, 7. DACH+ Conference on Energy Informatics, Oldenburg, Germany, October 11 – 12, In: Energy Informatics, 1:50, DOI: 10.2314/KXP:1687331642

    Sodenkamp, M., Hopf, K., Kozlovskiy, I., Staake, T. (2016). Smart-Meter-Datenanalyse für automatisierte Energieberatungen ("Smart Grid Data Analytics"), Final project report. Bundesamt für Energie, Schweiz (Online)

    Sodenkamp, M., Hopf, K., Staake, T. (2015). Using supervised machine learning to explore energy consumption data in private sector housing. In: Tavana, M. & Puranam, K. (Eds.): Handbook of Research on Organizational Transformations through Big Data Analytics. Hershey, USA: IGI Global, DOI: 10.4018/978-1-4666-7272-7.ch019

    Invited talks and workshops

    • Support retailing of renewable energy systems with (interpretable) machine learning, Guest lecture at the University of Passau, July 07, 2021
    • Predictive Analytics for Energy Efficiency and Energy Retailing, Brown-Bag Seminar Information Systems, University of Passau, June 18, 2019
    • Data analytics with R, Management workshop for utility company representatives, University of Bamberg, April 2018
    • Mining Volunteered Geographic Information for Predictive Energy Data Analytics, PhD Workshop 'Energy Informatics' prior to the 6. D-A-CH+ Energy Informatics Conference in Lugano, Switzerland, October 04, 2017
    • Predictive Analytics in Energy Retail, Doctoral Consortium during the 25. European Conference on Information Systems (ECIS) in Guimar?es, Portugal, June 05, 2017
    • Lifting the value of customer data for marketing – Predictive analytics in energy retail, 9. BarCamp Nürnberg, Germany, May 13, 2017
    • Das Internet der Dinge – Experimente mit intelligenten Stromz?hlern, Workshop at Girls and Technology Day of the University of Bamberg, October 28, 2014
    • Heimat ohne fossile Energietr?ger realisieren (H.o.f.E.r.) - Raus aus dem Energiestrudel, Neumarkter Nachhaltigkeitskonferenz 2010, June 25, 2010
    • Raus aus dem Energiestrudel, 17. Symposium der Deutschen Bundesstiftung Umwelt (DBU) und der Freunde und F?rderer des Zentrums für Umwelt und Kultur, Benediktbeuern, September 29, 2009