Dominik Fischer, M.Sc.
Dr. Dominik Fischer
Chair of Computational Intelligence
"All models are wrong, some are useful! Insight is the goal, not numbers! " - C.B.
Research Interests
- Evolutionary Algorithms, Complex Systems and Network Theory
- Collective Behavior, Intelligent Systems and Swarm Intelligence
- Managerial, Organizational and Social Cognition
Vita
- 06/2017 – 09/2020: Doctoral Candidate, title of the dissertation: “Essays on Reliability of Intelligent Systems, Cognition in Organization Theory and Digitalization in Financial Accounting”
- 03/2018 – 04/2018: Research fellow at the University of Wisconsin, Madison, USA.
- 04/2015 – 05/2017: Otto-von-Guerike-University of Magdeburg, Master of Science in Data- and Knowledge-Engineering.
- 10/2011 – 03/2015: Deggendorf Institute of Technology, Bachelor of Science in Information Systems.
- 08/2008 – 08/2011: Software developer at idowapro, Straubing and Landshut idowapro is an internet agency of the newspaper group “Straubinger Tagblatt / Landshuter Zeitung”
- 10/2006 – 07/2008: Berufsfachschule für EDV-Berufe Plattling, Specialized Computer Scientist – Software Development (COC)
Research & Publications
- Fischer, D., 2020. Measuring the Collective Mind in Organizations. Working paper
- Accepted for the “AoM Cognition in the Rough Workshop, Boston, 2019”
- Accepted for the “Frontiers in MOC, Singapore, 2020” (cancelled).
- Accepted for the “EURAM Conference, Dublin, 2020”.
- Accepted for the "Organization Theory Winter Workshop, 2020".
- Fischer D, Mostaghim S, Albantakis L. How cognitive and environmental constraints influence the reliability of simulated animats in groups. Huk M, editor. PLoS One. 2020;15: e0228879. doi:10.1371/journal.pone.0228879
- Downar, B., Fischer D., 2019. Wirtschaftsprüfung im Zeitalter der Digitalisierung. In R. Obermeier, ed. Industrie 4.0 als unternehmerische Gestaltungsaufgabe. Springer Gabler, pp. 753–779.
- Fischer, D., Mostaghim, S. & Albantakis, L., 2018. How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task. GECCO 2018. Available at: http://arxiv.org/abs/1804.08940.
- Richter, W.-D. & Fischer, D., 2016. Journal Entry Testing - Ein praxisorientierter Ansatz unter Verwendung der Netzwerkstruktur. In G. Herde, ed. GoBD und Big Data - Neue Herausforderungen für die digitale Datenanalyse. Erich Schmidt Verlag Berlin, pp. 85–106.
- Herde, G. & Fischer, D., 2015. Performance Measurement of Audit Software Tools. Bavarian Journal of Applied Sciences, 1(1), pp. 27–39.
Presentations
- 2019/07/01: European Group for Organization Studies Pre-Colloquium PhD Workshop,Edinburgh, Scotland, “Measuring the Collective Mind in Organizations”.
- 2018/11/09: TEDxDIT, Deggendorf, Germany, “Minds and Machines”.
- 2018/10/27: BAYERN 2, Zündfunk Netzkongress, München, Germany, „Der Weg nach Westworld: Kann es künstliches Bewusstsein geben?“ ([en] The path to westworld: Is artificial consciousness possible?).
- 2018/07/18: Genetic and Evolutionary Computation Conference, Kyoto, Japan, “How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task”.
- 2017/06/19: International Computer Auditing Education Association, London, UK, „Evidence-Based Decisions using Big Data Analytics – A Innovative Course for Schools of Management”, with Prof. Dr. Georg Herde.
- 2014/02/22: International Conference on Accounting and Information Technology, Chiayi, Taiwan, „Performance Measurement of Audit Software Tools”.
Teaching
Lectures:
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(@TUM) “Evidence Based Decisions Using Big Data Analytics”, including course development.
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(@TUM) “Fundamentals of Business Administration”.
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(@TUM) “Topics in General Management (Business Simulation Game)”.
Supervised Master Theses:
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Advanced Natural Language Processing for cognitive bias detection in financial reports.
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An experimental model and implementation of the blockchain technology into financial accounting.
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Concept for a blockchain-based cross-company financial accounting system.
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Implementing a prototype for graph-based continuous auditing.
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IT Target Operating Model 4.0: The role of IT in digital transformation.
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Natural Language Processing for sentiment analysis of financial reports.
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Machine learning for bankruptcy detection based on textual data.
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Modeling a multi-agent environment to represent fraudulent behavior.
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Predictive analytics in the manufacturing environment: A case of teaching machine learning algorithms.
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The practical application of Process Mining for analysis, improvement and continuous monitoring of business processes.
Supervised Bachelor Theses:
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Comparison and evaluation of current innovations for the digital transformation in external auditing.
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Current state and outlook on the development of data analysis with the focus on applications in audit and accounting.
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Digital transformation in traditional financial businesses: The accountant as a preventer or promoter?
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Organizations in a digital future – implications from High Reliability Organizations.
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The potential of digital innovations in financial audit and accounting.
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Using graph metrics to support Journal Entry Testing.