The IEEE Task Force for Process Mining is happy to announce the 2021 edition of the Best Process Mining PhD Dissertation Award.
The award will be delivered during the 3rd International Conference on Process Mining (ICPM 2021).
Eligible candidates are those who officially obtained a PhD degree defended in 2019 or 2020, with a dissertation focused on process mining. Those who applied for the 2020 edition of the prize, can reapply for the 2021 edition as well.
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.
The winner will receive the award at the ICPM 2021 Conference.
The award comes with a free registration to the ICPM conference, and with the option of publishing the thesis with Springer, in the LNBIP series. There may also be a monetary prize.
We are closely monitoring the situation in relation to coronavirus (COVID-19) and its potential impact upon the ICPM conference in October, along with the IEEE Computational Intelligence Society.
We guarantee that the prize will be assigned, and will communicate to the respective candidates if and how the process will need to be adjusted (in terms of timeline and modality) as soon as the situation will be clearer.
Nomination and Submission
Candidates are nominated by their primary supervisor via a nomination letter. Each supervisor is only allowed to nominate one candidate. The candidate is responsible for submitting the application via Easychair (selecting the “Best Process Mining PhD Dissertation Award” track).
The application consists of the following parts, which have all to be concatenated in a single PDF file (respecting the order):
- An extended abstract of the thesis, positioning the work in the state of the art and highlighting its main results, novelty, and (potential) impact [3-5 pages]
- A nomination letter by the supervisor [1-2 pages]
- The PhD evaluation report, including the reviews of the dissertation
- Full CV of the candidate, including the list of publications
- The dissertation itself
Questions and enquiries can be directed to the chair of the jury: Marco Montali.
The selection process consists of two steps:
- The jury evaluates the applications and identifies a shortlist of three candidates.
- The three candidates are invited to give a presentation to the jury in an online session. The jury then selects the winner.
The selection is based on the following criteria:
- originality and depth of contribution;
- methodological soundness;
- form and quality of presentation;
- significance and potential impact for the research field;
- implemented techniques and software availability in case of algorithmic nature of the contribution.
|Josep Carmona||Universitat Politècnica de Catalunya, Spain||vice-chair|
|Marco Comuzzi||Ulsan National Institute of Science and Technology, Korea|
|Agnes Koschmider||Kiel University, Germany|
|Marco Montali||Free University of Bozen-Bolzano, Italy||chair|
|Artem Polyvyanyy||University of Melbourne, Australia|
|Luigi Pontieri||ICAR, National Research Council of Italy, Italy|
|Arik Senderovich||University of Toronto, Canada|
|Tijs Slaats||University of Copenhagen, Denmark|
|Application submission deadline|
|Notification of short-listing|
|Online presentations by shortlisted candidates||Beginning of