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Kai Grunert, M.Sc.

Foto von Kai Grunert
Lupe [1]

Kai Grunert received his Master’s degree in Computer Engineering [3] at the Technische Universität Berlin [4] in May 2014. During his studies, he worked at Toll Collect GmbH [5] as a software engineer and architect. He was responsible for creating an automation system for test cases to verify the functionality of On-Board Units. Prior to that, he finished the integrated degree program Communication Systems [6] at the Beuth Hochschule für Technik Berlin [7]. In the practical phases he developed access control systems for Idencom GmbH [8].

In December 2014, he joined the Telekom Innovation Laboratories as a research scientist in Prof. Axel Küpper’s group Service-centric Networking [9]. Until 2020, he supported the teaching for the lectures Business Processes and IT systems as well as Web Technologies. In 2018, he started his own research project PROCEED [10] where he and his teams created a decentralized Business Process Management System with an engine for executing BPMN-based processes in a distributed fashion. The project is available open source on Gitlab [11] and is still under active development. Currently, Mr. Grunert works on a project for the Werner von Siemens Campus where he investigates the usage of a process system for Industrie 4.0.

Teaching

Geschäftsprozesse
Webtechnologien
Summer term 2019 [12]
Winter term 2018/ 2019 [13]
Summer term 2018 [14]
Winter term 2017/2018 [15]
Summer term 2017 [16]
Winter term 2016/ 2017 [17]
Summer term 2016 [18]
Winter term 2015/ 2016 [19]
Summer term 2015 [20]
Winter term 2014/ 2015 [21]

Open Theses

For a list of open thesis, please see here: docs.proceed-labs.org/project/roadmap/

Research Interests

  • Workflow Engines, Process Automation and Modeling
  • Decentralized and Distributed Software Architectures
  • Web Technologies: Semantic Web and JavaScript Engines

Publications

Müller, M. and Ostern, N. and Koljada, D. and Grunert, K. and Rosemann, M. and Küpper, A. (2021). Trust Mining: Analyzing Trust in Collaborative Business Processes [25]. IEEE Access, 1-1.


Grunert, K. (2020). Overview of JavaScript Engines for Resource-Constrained Microcontrollers [26]. 5th International Conference on Smart and Sustainable Technologies 2020(SpliTech 2020), 1-7.

Link to publication [27]

Beierle, F. and Grunert, K. and Göndör, S. and Schlüter, V. (2017). Towards Psychometrics-based Friend Recommendations in Social Networking Services [28]. 2017 IEEE 6th International Conference on AI & Mobile Services (AIMS 2017). IEEE, 105–108.

Link to publication [29]

Beierle, F. and Grunert, K. and Göndör, S. and Küpper, A. (2016). Privacy-aware Social Music Playlist Generation [30]. Proceedings of the IEEE International Conference on Communications (ICC 2016). IEEE, 5650-5656.

Link to publication [31]

Beierle, F. and Tan, J. and Grunert, K. (2016). Analyzing Social Relations for Recommending Academic Conferences [32]. Proceedings of the 8th International Workshop on Hot Topics in Planet-scale Mobile Computing and Online Social Networking. ACM, 37-42.

Link to publication [33]

Supervised Theses

  • Malik, A. A. (2020). Realization of a Distributed Process Engine as a Web Application. Master Thesis, Technische Universität Berlin [34]
  • Pfoch, L. (2020). Implementation of a Distributed Process Engine on Android. Bachelor Thesis, Technische Universität Berlin [35]
  • Segner, K. (2020). Creating semantic Descriptions from source code comments on the example of ISDoc. Bachelor Thesis, Technische Universität Berlin [36]
  • Danker, J. (2019). Analysis of LTE cell outages simulated with ns3. Bachelor Thesis, Technische Universität Berlin [37]
  • Beriwan Tepe, A. (2019). Graphical constraint defination for process distribution within a dBPMS. Bachelor Thesis, Technische Universität Berlin [38]
  • Tayupov, R. (2019). Implementation of a Distributed Process Engine on constraint devices on the example of Esprimo-based microcontrollers. Bachelor Thesis, Technische Universität Berlin [39]
  • Botler, M. (2020). Ensemble Methods für Deep Learning based Anomaly Detection. Master Thesis, Technische Universität Berlin [40]
  • Ramalingam Santhanakrishnan, S.B. (2019). A Modern BPMN Execution Engine in Java Script. Master Thesis, Technische Universität Berlin [41]
  • Tas, C. (2019). Adaptive Selection of a Process Engine within a dBPMS. Bachelor Thesis, Technische Universität Berlin [42]
  • Schneider, A. (2019). User Management in a distributed Business Process Management System. Bachelor Thesis, Technische Universität Berlin [43]
  • Purolnik, V. (2019). Integration of a Script Development Environment into a distributed Business Process Management System. Bachelor Thesis, Technische Universität Berlin [44]
  • Zoubarev, A. (2019).Monitoring and legging in a distributed Business Process Exection. Bachelor Thesis, Technische Universität Berlin [45]
  • Yüksel, C. (2019).Capability Management in a distributed Business Process Management System. Bachelor Thesis, Technische Universität Berlin [46]
  • Rohwer, K. (2019). Java Script-based platform independent archictecture of a distributed Business Process Management System. Bachelor Thesis, Technische Universität Berlin [47]
  • Le Trung, P. (2019). Description of Workflow pattern in an actor-based system. Master Thesis, Technische Universität Berlin [48]
  • Cheynubrata, E. (2018). Separation of BPMN-based Process Models for a distributed Execution. Bachelor Thesis, Technische Universität Berlin [49]
  • Reppenhagen, M. (2018). Creation of a lightweight Microservice for Semantic Capability Offering. Bachelor Thesis, Technische Universität Berlin [50]
  • Richter, J. (2018). Building a Graphical Interface for the creation of Hypermedia-Driven REST APIs. Bachelor Thesis, Technische Universität Berlin [51]
  • Meznaric, J. (2016). Extending BPMN for integration of internet of things devices with process-driven applications. Master Thesis, Technische Universität Berlin [52]
  • Tan, J. (2016). Conference Recommendations Based on Social Recommender Systems. Master Thesis, Technische Universität Berlin [53]

[54]

Kai Grunert, M.Sc.
Service-centric Networking
TEL 19
Ernst-Reuter-Platz 7
10587 Berlin
Phone: +49 30 8353 58143
Fax: +49 30 8353 58409
e-mail query [55]

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