Klaus Kammerer

Klaus Kammerer studied computer science at Ulm University and graduated with honors in 2014. The subject of his Master thesis, which he wrote in the scope of the proView project, is "Enabling Personalized Business Process Modeling: The Clavii BPM Platform". Additionally to the written thesis, he systematically implemented state-of-the-art concepts for personalized and updatable views on business processes in an innovative prototype.

His research focuses on process-centric sensor framework concepts for the internet of things (IoT) as well as the management of large process repositories.

Since October 2016 he develops concepts and technologies for process-oriented pharma packaging production workflows in cooperation with Uhlmann Pac-Systeme.

During leisure time, he likes to hike, climb, take photos or to ski in the mountains.


  • Business Process Variants
  • Process Views and Process Abstractions


Clavii (abgeschlossen)
proView (abgeschlossen)


Bachelor & Master Thesis

    I offer interesting thesis topics in the field of sensor networks and IoT. Please see the german content of this page (switch on the right) or contact me, if you are interested.


    | 2018 | 2017 | 2015 | 2012 |


    Hoppenstedt, Burkhard and Pryss, Rüdiger and Stelzer, Birgit and Meyer-Brötz, Fabian and Kammerer, Klaus and Treß, Alexander and Reichert, Manfred (2018) Techniques and Emerging Trends for State of the Art Equipment Maintenance Systems - A Bibliometric Analysis . Applied Sciences, MDPI, Vol. 8, pp. 1-29, 10.3390/app8060916. file
    Hoppenstedt, Burkhard and Reichert, Manfred and Schneider, Christian and Kammerer, Klaus and Schlee, Winfried and Probst, Thomas and Langguth, Berthold and Pryss, Rüdiger (2018) Exploring Dimensionality Reduction Effects in Mixed Reality for Analyzing Tinnitus Patient Data. In: 4th Int'l Conference of the Virtual and Augmented Reality in Education (VARE 2018), Budapest, Hungary, 17 - 19 September 2018, pp. 163-170. file
    Kammerer, Klaus and Pryss, Rüdiger and Sommer, Kevin and Reichert, Manfred (2018) Towards Context-aware Process Guidance in Cyber-Physical Systems with Augmented Reality. In: 4th International Workshop on Requirements Engineering for Self-Adaptive, Collaborative, and Cyber Physical Systems (RESACS'18), Banff, Canada, 20-24 Aug 2018 , IEEE Computer Society Press. (Accepted for Publication) file


    Kammerer, Klaus and Mundbrod, Nicolas and Reichert, Manfred (2017) Demonstrating Context-aware Process Injection with the CaPI Tool. In: Proceedings of the BPM Demo Session 2017 (BPMD 2017), co-located with the 15th International Conference on Business Process Management (BPM 2017), Barcelona, September 10-15, 2017, CEUR Workshop Proceedings 1920, CEUR-WS.org. file


    Kammerer, Klaus and Kolb, Jens and Reichert, Manfred (2015) PQL - A Descriptive Language for Querying, Abstracting and Changing Process Models. In: 17 Int'l Working Conference on Business Process Modeling, Development, and Support (BPMDS'15), Stockholm, LNBIP 214, Springer, pp. 135-150. file
    Kammerer, Klaus and Kolb, Jens and Ronis, Sebastian and Reichert, Manfred (2015) Collaborative Process Modeling with Tablets and Touch Tables — A Controlled Experiment. In: IEEE 9th International Conference on Research Challenges in Information Science (RCIS 2015), Athens, Greece, 13-15 May 2015, 15, IEEE Computer Society Press, pp. 31-41. file
    Kammerer, Klaus and Kolb, Jens and Andrews, Kevin and Bueringer, Stefan and Meyer, Britta and Reichert, Manfred (2015) User-centric Process Modeling and Enactment: The Clavii BPM Platform. In: Proceedings of the BPM Demo Session 2015 (BPMD 2015), co-located with the 13th International Conference on Business Process Management (BPM 2015), Innsbruck, Austria, 2 September 2015, CEUR Workshop Proceedings 1418, CEUR-WS.org, pp. 135-139. file


    Kolb, Jens and Kammerer, Klaus and Reichert, Manfred (2012) Updatable Process Views for User-centered Adaption of Large Process Models. In: 10th Int'l Conference on Service Oriented Computing (ICSOC'12), Shanghai, China, November 12-15, 2012, LNCS 7636, Springer, pp. 484-498. file
    Kolb, Jens and Kammerer, Klaus and Reichert, Manfred (2012) Updatable Process Views for Adapting Large Process Models: The proView Demonstrator. In: Demo Track of the 10th Int'l Conf on Business Process Management (BPM'12), Tallinn, Estonia, September 3-6, 2012, CEUR Workshop Proceedings 940, pp. 6-11. file

    Supervised Master & Bachelor Theses

    | 2018 | 2017 | 2016 |


    Bihlmaier, Sven (2018) Konzept und Implementierung eines Frameworks zur Verwaltung von Digital Twins. Bachelor thesis, Ulm University. file
    Jann, Julius (2018) Fast Transfer of 3D Models in Web Configuration Systems. Bachelor thesis, Ulm University. file
    von Schwerin, Clemens (2018) Time Series Analysis in the Context of the Internet of Things: Classic Solutions vs New Approaches for Typical Problem Situations. Master thesis, Ulm University. file


    Göster, Manuel (2017) Concept and Implementation of a Factory Simulation. Bachelor thesis, Ulm University. file
    Roschat, Christian (2017) Augmented Reality for Machine Maintenance Applications. Master thesis, Ulm University. file
    Sommer, Kevin (2017) Evaluierung und Implementierung einer Plattform für divergente Daten im pharmazeutischen Umfeld. Master thesis, Universität Ulm. file


    Alzner, Andreas (2016) Konzeption und Entwicklung einer Webservice Schnittstelle für ein Prozessmanagementsystem. Bachelor thesis, Ulm University. file
    Bee, Kevin (2016) Konzeption und Realisierung eines Frameworks zur Abbildung von Geschäftsprozessen auf einer Graphendatenbank. Bachelor thesis, Ulm University. file
    Frey, Corvin (2016) Konzeption und Entwicklung eines effizienten Prozess Mining Ansatzes auf Basis von MapReduce. Bachelor thesis, Ulm University. file
    Karakaya, Özlem (2016) Analyse und Optimierung von kollaborativen Unternehmensprozessen zur Produktkostenreduzierung. Master thesis, Ulm University. file

    Contact details

    Klaus Kammerer

    Research assistant

    Office: Building O27 - Room 552
    Consultation hours wednesday
    and thursday on appointment.


    Phone:+49 731 50 24 227
    Fax:+49 731 50 24 134

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