Activities

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

  • Virtual Sensors
  • 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, WS19/20, WS20/21)
  • Seminar: Data Science for the Industrial Internet of Things (SS18, SS19, SS20, SS21)

Publications

Due to the interdisciplinary activities of KSRI researchers publication lists also contain publications that have not explicitly been developed in the course of their activities at KSRI.


2023
Conference Papers
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images
Geiger, M.; Martin, D.; Kühl, N.
2023. 56th Hawaii International Conference on System Sciences 
2022
Journal Articles
Human vs. supervised machine learning: Who learns patterns faster?
Kühl, N.; Goutier, M.; Baier, L.; Wolff, C.; Martin, D.
2022. Cognitive systems research, 76, 78–92. doi:10.1016/j.cogsys.2022.09.002
Conference Papers
Deep Learning Strategies for Industrial Surface Defect Detection Systems
Martin, D.; Heinzel, S.; Kunze von Bischhoffshausen, J.; Kühl, N.
2022. Proceedings of the Hawaii International Conference on Systems Sciences (HICSS-55) Full textFull text of the publication as PDF document
2021
Journal Articles
Virtual Sensors
Martin, D.; Kühl, N.; Satzger, G.
2021. Business & information systems engineering, 63 (3), 315–323. doi:10.1007/s12599-021-00689-wFull textFull text of the publication as PDF document
Conference Papers
Towards a Reference Architecture for Future Industrial Internet of Things Networks
Martin, D.; Kühl, N.; Schwenk, M.
2021. Proceedings : 2021 IEEE 23rd Conference on Business Informatics, CBI 2021, Virtual Conference 1-3 September 2021, Volume 2 – CBI Forum and Workshop Papers. Ed.: J.P.A. Almeida, 1–9, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CBI52690.2021.10049Full textFull text of the publication as PDF document
“Healthy surveillance”: Designing a concept for privacy-preserving mask recognition AI in the age of pandemics
Kühl, N.; Martin, D.; Wolff, C.; Volkamer, M.
2021. Hawaii International Conference on Systems Sciences (HICSS-54), January 5-8, 2021 
2020
Book Chapters
Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems
Martin, D.; Kühl, N.; Maleshkova, M.
2020. Smart Service Management: Design Guidelines and Best Practices. Hrsg.: Maria Maleshkova, Niklas Kühl, Philipp Jussen, 7–21, Springer International Publishing. doi:10.1007/978-3-030-58182-4_2
Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses
Martin, D.; Kühl, N.; Bischhoffshausen, J. K. von
2020. Smart Service Management: Design Guidelines and Best Practices. Hrsg.: Maria Maleshkova, Niklas Kühl, Philipp Jussen, 179–191, Springer International Publishing. doi:10.1007/978-3-030-58182-4_16
Conference Papers
System-wide Learning in Cyber-Physical Service Systems: A Research Agenda
Martin, D.; Kühl, N.; Bischhoffshausen, J. K. von; Satzger, G.
2020. Designing for Digital Transformation. Co-Creating Services with Citizens and Industry - 15th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2020, December 2–4, 2020. Ed.: S. Hofmann, 457–468, Springer. doi:10.1007/978-3-030-64823-7_44
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. doi:10.1007/978-3-030-38724-2_16
A Reference Architecture for Cyber-Physical Fluid Power Systems: Towards a Smart Ecosystem
Martin, D.; Kunze von Bischhoffshausen, J.; Hensel, A.; Strandberg, J.
2020. Proceedings of the 12th International Fluid Power Conference (IFK), Dresden, Oktober 2020 
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs
Martin, D.; Spitzer, P.; Kühl, N.
2020. 53rd Annual Hawaii International Conference on System Sciences (HICSS-53), Grand Wailea, Maui, HI, January 7-10, 2020 Full textFull text of the publication as PDF document
2019
Conference Papers
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 : January 8-11, 2019, Maui, Hawaii. Ed.: Tung X. Bui, 1005–1012, University of Hawaii at Manoa, Hamilton Library, ScholarSpace. doi:10.24251/HICSS.2019.124
2018
Conference Papers
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
Conference Papers
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