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Stefan John

Anschrift:  

M. Sc. Stefan John
Philipps-Universität Marburg
Fachbereich Mathematik und Informatik
Hans-Meerwein-Str. – Raum 05D12
35032 Marburg

Phone: 06421-28-21511
Email: johns AT informatik.uni-marburg.de 

Forschungsinteressen

  • Modellgetriebene Entwicklung
  • Evolutionäre Algorithmen
  • Web Science
  • Interaktive Multimedia-Inhalte

Betreute Lehrveranstaltungen

  • Softwaretechnik (WiSe 2019/20)
  • Softwarequalität (SoSe 2019)
  • Formale Methoden (WiSe 2018/19)
  • Softwaretechnik (WiSe 2018/19)
  • Modellgetriebene Softwareentwicklung (WiSe 2017/18)
  • Fortgeschrittenenpraktikum: Entwicklung eines Freizeitplaners für mobile Endgeräte (SoSe 2017)
  • Softwarequalität (SoSe 2017)
  • Fortgeschrittenenpraktikum: Eclipse Plugin zur Validierung und Reparatur von EMF Modellen mithilfe des Werkzeugs EMF Repair (WiSe 2016/17)
  • Formale Methoden (WiSe 2016/17)
  • Software-Evolution (WiSe 2016/17)
  • Softwarequalität (SoSe 2016)
  • Software-Praktikum (SoSe 2016)

Publikationen

2019

  • John, S. et al. 2019. Searching for Optimal Models: Comparing Two Encoding Approaches. ICMT 2019, 15.-19. July 2019, Eindhoven, The Netherlands (2019), in Journal of Object Technology 18, no. 3 (2019).
  • Burdusel, A. et al. 2019. Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering. MODELS 2019, 15.-20. September 2019, Munich, Germany (2019), tba.

2018

  • Strüber, D. et al. 2018. Henshin: A Model Transformation Language and its Use for Search-Based Model Optimisation in MDEOptimiser. Modellierung 2018, 21.-23. February 2018, Braunschweig, Germany (2018), 299–300.

2016

  • John, S. et al. 2016. Extracting Navigation Hierarchies from Networks with Genetic Algorithms. Proceedings of the 12th International Conference on Web Information Systems and Technologies, WEBIST 2016, Volume 2, Rome, Italy, April 23-25, 2016 (2016), 63–74.
     
  • Born, K. et al. 2016. Solving the Class Responsibility Assignment Case with Henshin and a Genetic Algorithm. Proceedings of the 9th Transformation Tool Contest, co-located with the 2016 Software Technologies: Applications and Foundations (STAF 2016), Vienna, Austria, July 8, 2016. (2016), 45–54.
  • John, S. et al. 2016. Hypervideo Production Using Crowdsourced Youtube Videos. Proceedings of the 2016 ACM Conference on Multimedia Conference, MM 2016, Amsterdam, The Netherlands, October 15-19, 2016 (2016), 695–697.
  • Meixner, B. et al. 2016. A Dual Screen Concept for User-Controlled Hypervideo-Based Physiotherapy Training. Proceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care, MMHealth 2016, Amsterdam, The Netherlands, October 16, 2016 (2016), 9–13.
  • Handschigl, C. et al. 2016. Second Screen Hypervideo-Based Physiotherapy Training: INVITED DEMO PAPER. Proceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care, MMHealth 2016, Amsterdam, The Netherlands, October 16, 2016 (2016), 51.
  • Meixner, B. et al. 2016. From Single Screen to Dual Screen - a Design study for a User-Controlled Hypervideo-Based Physiotherapy Training. Proceedings of the 4th International Workshop on Interactive Content Consumption co-located with ACM International Conference on Interactive Experiences for Television and Online Video (ACM TVX 2016), Chicago, IL, USA, June 22, 2016. (2016).
  • Meixner, B. et al. 2016. Screen Concepts for Multi-Version Hypervideo Authoring. Proceedings of the 4th International Workshop on Interactive Content Consumption co-located with ACM International Conference on Interactive Experiences for Television and Online Video (ACM TVX 2016), Chicago, IL, USA, June 22, 2016. (2016).

2015

  • Meixner, B. et al. 2015. SIVA Suite: Framework for Hypervideo Creation, Playback and Management. Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM ’15, Brisbane, Australia, October 26 - 30, 2015 (2015), 713–716.

2014

  • Meixner, B. et al. 2014. A multimedia help system for a medical scenario in a rehabilitation clinic. 14th International Conference on Knowledge Management and Data-driven Business, I-KNOW ’14, Graz, Austria, September 16-19, 2014 (2014), 25:1–25:8.

Zuletzt aktualisiert: 23.08.2019 · johns

 
 
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