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Dominik Martin

M.Sc. Dominik Martin

Wissenschaftlicher Mitarbeiter
Group: Digital Service Innovation
Room: 4C-06, Gebäude 05.20
Phone: +49 721 608-48967
dominik martinIqp6∂kit edu


Übersicht

Since January 2018, Dominik Martin is a Research Associate at the Digital Service Innovation group and a Data Scientist at Trelleborg Sealing Solutions. He studied Industrial Engineering and Management at the Karlsruhe Institute of Technology.

 

Interests

  • Data Analytics
  • Cyber-Physical Systems
  • Industry 4.0
  • Internet of Things

 

Theses

 

If you are interested in writing a Bachelor or Master thesis, feel free to contact me at anytime. 

 

Teaching

  • Artificial Intelligence in Service Systems (WS18/19)
  • Seminar: Data Science for the Industrial Internet of Things (SS18, SS19)

Publications


2020
Proceedingsbeiträge
Igniting the Spark: Overcoming Organizational Change Resistance to Advance Innovation Adoption – The Case of Data-Driven Services.
Enders, T.; Martin, D.; Sehgal, G. G.; Schüritz, R.
2020. Exploring Service Science – 10th International Conference, IESS 2020, Porto, Portugal, February 5–7, 2020, Proceedings. Ed.: H. Nóvoa, 217–230, Springer, Cham. doi:10.1007/978-3-030-38724-2_16
A Reference Architecture for Cyber-Physical Fluid Power Systems: Towards a Smart Ecosystem [in press].
Martin, D.; Kunze von Bischhoffshausen, J.; Hensel, A.; Strandberg, J.
2020. Proceedings of the 12th International Fluid Power Conference (IFK), Dresden, March 9-11, 2020
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs.
Martin, D.; Spitzer, P.; Kühl, N.
2020. Proceedings of the 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), Grand Wailea, Maui, HI, January 7-10, 2020
2019
Proceedingsbeiträge
Service Systems, Smart Service Systems and Cyber-Physical Systems—What’s the difference? Towards a Unified Terminology.
Martin, D.; Hirt, R.; Kühl, N.
2019. 14. Internationale Tagung Wirtschaftsinformatik 2019 (WI 2019), Siegen, Germany, February 24-27
Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype.
Kühl, N.; Martin, D.; Satzger, G.
2019. 14. Internationale Tagung Wirtschaftsinformatik 2019 (Wi 2019), Siegen, 23.-27. Februar 2019
Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case.
Martin, D.; Kühl, N.
2019. Proceedings of the 52nd Annual Hawaii International Conference on System Sciences (HICSS-52), Grand Wailea, Maui, Hawaii, January 8-11, 2019, 1005–1012
2018
Zeitschriftenaufsätze
White Spots in Business and IT: An Explorative Study for E-Mobility Services.
Martin, D.; Kühl, N.; Stryja, C.; Haude, J.
2018. World Electric Vehicle Journal, 9 (2). doi:10.3390/wevj9020027
Proceedingsbeiträge
Towards Cognitive Sealing: Artificial Intelligence based Seal Condition Monitoring.
Martin, D.; Schüle, C.; Kunze von Bischhoffshausen, J.
2018. 20th ISC: International Sealing Conference, Stuttgart, October 10-11, 2018
2017
Proceedingsbeiträge
White spots in business and IT : An explorative study for e-mobility services.
Martin, D.; Kühl, N.; Stryja, C.; Haude, J.
2017. 30th International Electric Vehicle Symposium & Exhibition, Stuttgart, Germany, 9th - 11th October 2017