Institut für Datenbanken und Informationssysteme (DBIS)

Klaus Kammerer

Klaus Kammerer studierte Medieninformatik an der Universität Ulm und schloss sein Studium im Jahr 2014 mit Auszeichnung ab. Das Thema seiner Masterarbeit, die er im Rahmen des Projekts proView erstellt hat, lautet "Enabling Personalized Business Process Modeling: The Clavii BPM Platform". Der Fokus lag hierbei bei der systematischen Erstellung eines Prototypen für neuartige Forschungskonzepte, die Nutzern personalisierte und aktualisierbare Sichten auf Geschäftsprozesse bieten.

Seine Forschungsschwerpunkte und Dissertationsthemen umfassen prozess-zentrierte Sensor-Framework-Konzepte für das Internet of Things (IoT) sowie Management großer Process Repositories.

Seit Oktober 2016 arbeitet er in Kooperation mit Uhlmann Pac-Systeme an Konzepten und Technologien zur prozess-orientierten Unterstützung von Produktionsabläufen für Pharma-Verpackungssysteme.

Seine Freizeit verbringt er am liebsten in den Bergen zum Wandern, Klettern, Fotografieren oder Ski fahren.

Forschungsinteressen

  • Business Process Variants
  • Process Views and Process Abstractions

Projekte

CaPE
DBISfactory
Clavii (abgeschlossen)
proView (abgeschlossen)

Lehre

Publikationen

| 2019 | 2018 | 2017 | 2015 | 2012 |

2019

Hoppenstedt, Burkhard and Reichert, Manfred and Kammerer, Klaus and Spiliopoulou, Myra and Pryss, Rüdiger (2019) Towards a Hierarchical Approach for Outlier Detection in Industrial Production Settings. In: EDBT/ICDT 2019 Workshops, Lisbon, 26 March 2019, CEUR Workshop Proceedings 2322, CEUR-WS.org. file
Hoppenstedt, Burkhard and Kammerer, Klaus and Reichert, Manfred and Spiliopoulou, Myra and Pryss, Rüdiger (2019) Convolutional Neural Networks for Image Recognition in Mixed Reality Using Voice Command Labeling. In: 6th International Conference on Augmented Reality, Virtual Reality and Computer Graphics (SALENTO AVR 2019), Santa Maria al Bagno, Italy, June 24-27, 2019, Lecture Notes in Computer Science 11614, Springer, pp. 63-70. file
Hoppenstedt, Burkhard and Schmid, Michael and Kammerer, Klaus and Scholta, Joachim and Reichert, Manfred and Pryss, Rüdiger (2019) Analysis of Fuel Cells Utilizing Mixed Reality and IoT Achievements. In: 6th International Conference on Augmented Reality, Virtual Reality and Computer Graphics (SALENTO AVR 2019), Santa Maria al Bagno, Italy, June 24-27, 2019, Lecture Notes in Computer Science 11614, Springer, pp. 371-378. file
Hoppenstedt, Burkhard and Witte, Thomas and Ruof, Jona and Kammerer, Klaus and Tichy, Matthias and Reichert, Manfred and Pryss, Rüdiger (2019) Debugging Quadrocopter Trajectories in Mixed Reality. In: 6th International Conference on Augmented Reality, Virtual Reality and Computer Graphics (SALENTO AVR 2019), Santa Maria al Bagno, Italy, June 24-27, 2019, Lecture Notes in Computer Science 11614, Springer, pp. 43-50. file
Hoppenstedt, Burkhard and Probst, Thomas and Reichert, Manfred and Schlee, Winfried and Kammerer, Klaus and Spiliopoulou, Myra and Schobel, Johannes and Winter, Michael and Felnhofer, Anna and Kothgassner, Oswald and Pryss, Rüdiger (2019) Applicability of Immersive Analytics in Mixed Reality: Usability Study . IEEE Access, Vol. 7, pp. 71921-71932, 10.1109/ACCESS.2019.2919162. file
Hoppenstedt, Burkhard and Reichert, Manfred and Kammerer, Klaus and Probst, Thomas and Schlee, Winfried and Spiliopoulou, Myra and Pryss, Rüdiger (2019) Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. Sensors, MDPI, Vol. 19, pp. 3303, 10.3390/s19183903. file
Kammerer, Klaus and Hoppenstedt, Burkhard and Pryss, Rüdiger and Stökler, Steffen and Allgaier, Johannes and Reichert, Manfred (2019) Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production Settings. Sensors, 19(24), MDPI, 10.3390/s19245370. file

2018

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
Hoppenstedt, Burkhard and Pryss, Rüdiger and Kammerer, Klaus and Reichert, Manfred (2018) CONSENSORS: A Neural Network Framework for Sensor Data Analysis. In: 26th International Conference on Cooperative Information Systems (CoopIS 2018)), Valetta, Malta, October 22-26, LNCS, Springer. (Accepted for Publication) 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), RE Workshops 2018, Banff, Canada, 20-24 Aug 2018 , IEEE Computer Society Press, pp. 44-51. file

2017

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

2015

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

2012

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

Betreute Abschlussarbeiten

| 2020 | 2019 | 2018 | 2017 | 2016 |

2020

Schwer, Dominik (2020) Privacy Threat Modeling with LINDDUN in the Context of the General Data Protection Regulation. Master thesis, Ulm University. file

2019

Biro, Kristijan (2019) Objekterkennung mit ARKit und TensorFlow: Anwendungsfälle, Konzepte, Evaluierung. Bachelor thesis, Ulm University. file
Jäckle, Michael (2019) Semantic Machine Twins: Use Cases, Concepts, Prototype. Master thesis, Ulm University. file
Palazzolo, Ivo (2019) Konzept und Implementierung eines Modellierungswerkzeugs zur Sensordatenverarbeitung. Master thesis, Ulm University. file
Reiner, Jens (2019) Chatbots zur Unterstützung von industriellen Serviceprozessen. Bachelor thesis, Ulm University. file
Stenske, Irina (2019) Konzeption und Implementierung von Multi-Device Interaktionen zur Unterstützung industrieller Wartungsprozesse. Master thesis, Ulm University. file

2018

Bihlmaier, Sven (2018) Konzept und Implementierung eines Frameworks zur Verwaltung von Digital Twins. Bachelor thesis, Ulm University. file
Bötticher, Moritz (2018) Erhebung, Modellierung und Implementierung von Wareneingangs- und Qualitätssicherungsprozessen auf Basis von Liferay Enterprise Portal. 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

2017

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

2016

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

Kontakt

Klaus Kammerer
Wissenschaftl. Mitarbeiter

Büro: Geb. O27 - Raum 5203
Sprechzeiten mittwochs und donnerstags 
nach Vereinbarung.

klaus.kammerer(at)uni-ulm.de

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

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