The IEEE Task Force for Process Mining is happy to announce the 2020 edition of the Best Process Mining PhD Dissertation Award.
The award will be delivered during the 2nd International Conference on Process Mining (ICPM2020) in Padua, 5-8 October 2020.
Eligible candidates are those who officially obtained a PhD degree in 2017, 2018, or 2019, with a dissertation focused on process mining. We welcome theses that contributed to advance the state of the art in the foundations, engineering, and on-field application of process mining techniques. In this context, the term “process mining” has to be understood in a broad sense: using event data produced during the execution of business, software, or system processes, in order to extract fact-based knowledge and insights on such processes.
For a thesis to be eligible, we also require that thesis-related results have been published in at least one flagship conference/journal for process mining, such as for example ICPM, BPM, CAiSE, EDOC, Petri Nets, ICDM, Information Systems, IEEE TKDE, DKE, ACM TOSEM, IEEE TSC, IEEE TSE, ToPNoC, …
We remark that applications to other dissertation award initiatives are permitted.
For more information, please visit here.
From hundreds of submissions, only 3 theses are selected as winners.
There are no costs involved in applying for this award.
As this award is exclusively given to participants who have produced an outstanding doctoral dissertation pertaining to the field of process mining - the work of applicants will be selected based on the following skills and criteria:
Originality and depth of contribution, methodological soundness, form and quality of presentation, and broader significance for the research field.
The work submitted for this competition involves years of study (a written thesis).
Candidates are nominated by their primary supervisor via a nomination letter. Each professor (supervisor or co-supervisor) is only allowed to nominate one candidate. The candidate is responsible for submitting the nomination material online.
The submission must include the following documents concatenated in a single PDF file (preferred option) or zipped in a single package:
An extended abstract of the thesis (3-5 pages)
Nomination letter by supervisor (1-2 pages)
Ph.D. evaluation report including the reviews of the dissertation
CV of the candidate including publication list
Full document of the dissertation