Kushal Agrawal

Kushal Agrawal, M.Sc. has completed his Bachelors in Business Administration and IT Management (Honors) in 2012 from India and his Masters of Science in Information Systems from Austria in 2016. He graduated his bachelors with a distinction and was among the top 5 students in his masters. His master thesis was given the best grade wherein he conducted an empirical investigation on adoption of Cloud ERPs within the EU and Indian SMEs. Furthermore, he did his specializations in IS Processes and IS Service Management in his masters and published an IEEE article.

Kushal has also gained industrial experience by working in different management positions in India and Austria. Moreover, his involvement in the family business adds an entrepreneurial attribute to his portfolio. Throughout his interdisciplinary career, Kushal has not only participated in multiple competitions and projects but has also received awards and scholarships for his work. At our institute he pursues his doctorate and is also involved in lectures, seminars and other practical projects. His Ph.D project is a part of the EU project on Tinnitus (ESIT).

Research Interests

  • Mobile Crowdsourcing and Crowdsensing
  • Information Systems and Incentive Management
  • Data Mining and Machine Learning
  • Cloud Computing and Cyber Security
  • Big Data and Internet of Things
  • Business Process Management and Business Engineering



| 2018 | 2016 |


Agrawal, Kushal and Mehdi, Muntazir and Reichert, Manfred and Hauck, Franz and Schlee, Winfried and Probst, Thomas and Pryss, Rüdiger (2018) Towards Incentive Management Mechanisms in the Context of Crowdsensing Technologies based on TrackYourTinnitus Insights. In: 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018), Gran Canaria, Spain, 13-15 Aug 2015, Procedia Computer Science, Elsevier Science. (Accepted for Publication) file
Mehdi, Muntazir and Mühlmeier, Guido and Agrawal, Kushal and Pryss, Rüdiger and Reichert, Manfred and Hauck, Franz (2018) Referenceable mobile crowdsensing architecture: A healthcare use case. In: 1st International Workshop On Services For Mobile Data Collection, Gran Canaria, Spain, August 13-15. (Accepted for Publication) file


Agrawal, Kushal and Aschauer, Michael and Thonhofer, Thomas and Bala, Saimir and Rogge-Solti, Andrea and Tomsich, Nico (2016) Resource Classification from Version Control System Logs. In: 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), (): 1-10.

Supervised Bachelor & Master Theses



Contact details

Kushal Agrawal
Research assistant

Office: Building O27 - Room 544
Consultation hours on appointment.


Phone:+49 731 50 24 129
Fax:+49 731 50 24 134

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