Christoffer Olling Back
External Postdoc
Programming Languages and Theory of Computing
Universitetsparken 5, 2100 København Ø
Industrial Postdoc in the Department of Computer Science working at ServiceNow as a part of the new Digital Research Centre Denmark (DIREC).
Research interests:
- Machine Learning
- Pattern Recognition
- Process Mining
- Symbolic/Logic-based AI
- Unifying above approaches
My overarching research interest is in AI generally, especially its application to computing/automation tools themselves. Recently, as a member of the Process Modelling and Intelligence group, my research has focused specifically on process mining, machine learning and pattern recognition for process-related data . In particular, data stemming from Enterprise Resource Planning (ERP) systems which automate and log the execution of complex business processes.
I have taught as a guest lecturer, assistant teacher and tutor in topics ranging from data science, machine learning and mathematics; to software engineering and computer science in law.
In my free time, I enjoy making glass art by hand as well as developing novel digital fabrication technologies for glass.
EDUCATION
PhD Computer Science (University of Copenhagen)
Mathematics, supplementary coursework (Roskilde University)
MSc Artificial Intelligence (University of Edinburgh)
BA Psychology w/ Computer Science (Lewis & Clark College)
BA Applied Arts - Glass (Royal Danish Academy of Fine Arts)
Selected publications
- Published
Foundations and practice of binary process discovery
Slaats, Tijs, Debois, S., Back, C.O. & Christfort, Axel Kjeld Fjelrad, 2024, In: Information Systems. 121, 20 p., 102339.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Comparing Trace Similarity Metrics Across Logs and Evaluation Measures
Back, C.O. & Simonsen, Jakob Grue, 2023, Advanced Information Systems Engineering: 35th International Conference, CAiSE 2023, Zaragoza, Spain, June 12–16, 2023, Proceedings. Indulska, M., Reinhartz-Berger, I., Cetina, C. & Pastor, O. (eds.). Springer, p. 226-242 17 p. (Lecture Notes in Computer Science, Vol. 13901)).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Entropy as a Measure of Log Variability
Back, C.O., Debois, S. & Slaats, Tijs, 14 Jun 2019, In: Journal on Data Semantics. 8, 2, p. 129–156 28 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 173689456
Most downloads
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199
downloads
Towards an Entropy-Based Analysis of Log Variability
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Published -
173
downloads
Imperative versus Declarative Process Mining: An Empirical Comparison
Research output: Working paper › Research
Published