MODELS23-DS: MODELS 2023 Doctoral Symposium Västerås, Sweden, October 3, 2023 |
Conference website | https://conf.researchr.org/track/models-2023/models-2023-doctoral-symposium |
Submission link | https://easychair.org/conferences/?conf=models23ds |
Abstract registration deadline | July 13, 2023 |
Submission deadline | July 20, 2023 |
The goal of the MODELS 2023 Doctoral Symposium is to provide an international forum for students registered for a research degree to interact and to engage with academic mentors working in the area of model-based engineering. The symposium supports contributors directly, led by a champion from the Programme Committee, and contributes independent and constructive feedback about contributors’ already completed and planned research. To this end, the Symposium Programme Committee comprises experts in various fields of model-based engineering.
The Symposium will have the format of a one-day workshop, with presentations by the students whose papers are accepted by peer-reviewers, feedback from the mentors (who are among the peer reviewers), and plenty of time for discussion. The workshop is open to all research students, mentors and presenters, and to all other conference participants, except that we request that the research supervisors do not attend their own supervisee’s presentation.
Submissions (exclusively authored by a student) can only be accepted from students registered on a research degree who will not be in a position to submit their final dissertation / thesis at the time of the Symposium. Contributing students must have identified the general area of research and of the eventual dissertation / thesis, but do not need to have research outputs / results. These conditions are set so that students can take advantage of feedback and discussions in their research and thesis.
*** Submission Guidelines ***
Submissions must use the following structure:
- Problem: Briefly introduce the problem or research questions that the research intends to address, stating the target audience. Briefly explain why the problem is important and needs to be addressed. Be clear why it is feasible to address the problem / research questions in the relevant research degree.
- Expected contributions: Give a summary list of the expected contributions the research will make, to theory and practice, noting potential identified non-academic contributions if relevant.
- Related work: Present a critical review of a relevant selection of related work, which shows how the research will differ from or extend the published state of the art.
- Proposed approach: Summarise the approach planned / in progress to address the problem (1.). Justify the approach, and show how it draws upon published works, existing methods and tools.
- Be clear about any risks or ethical issues arising from the research area of the conduct of the research and how these have been / will be addressed. If there are no risks or ethical issues, state this clearly.
- Plan for evaluation: Outline the evaluation plan, which will demonstrate that the problem has been addressed or research questions answered, and will demonstrate how the research goes beyond the existing state of the art (typical approaches to evaluation might include some or all of prototyping, industry case studies, benchmarking, user studies, experiments, etc.).
- Current status: Summarise the work completed to date, including any results obtained, and present the timeline for completion of the research and write-up.
Submissions must not exceed five (5) pages plus up to two (2) pages for references. They must conform to the IEEE formatting instructions:
- LaTeX users need to follow the IEEE LaTeX instructions and use the 8.5 x 11 2-column LaTeX Template; Overleaf users need to use the IEEE Conference Template. Note the information on how to use the LaTeX Bibliography Files
- Word users need to use the 8.5 x 11 2-column Word Template, and choose Times New Roman for the text, author information, and section headings, and Helvetica for the paper title.
- By submitting papers to the MODELS Doctoral Symposium, authors acknowledge that they are aware of and acknowledge the ACM Policy and Procedures on Plagiarism and the IEEE Plagiarism FAQ.
- Please note the IEEE Authors Rights and Responsibilities.
- Finally, IEEE requires the use of ORCIDs. LaTeX users should use the “orcidlink” package, “\hypersetup{pdfborder={0 0 0}}”, and “\orcidlink{XXXX-XXXX-XXXX-XXXX}” after each author name.
All papers must be submitted electronically in PDF format via Easychair.
Papers will be reviewed by at least three members of the program committee. IEEE will publish all accepted submissions as part of the MODELS Companion. Papers are accepted conditional on the author registering for the symposium at the MODELS 2023 conference by the early registration deadline and presenting the paper at the symposium.
*** Important dates ***
- Abstract submission deadline: Thu 13 Jul 2023
- Full paper submission deadline: Thu 20 Jul 2023
- Notification to authors: Fri 18 Aug 2023
- Camera-ready deadline: Fri 25 Aug 2023
*** Program Committee ***
Alfonso Pierantonio, Università degli Studi dell'Aquila, Italy
Antonio Garcia-Dominguez, University of York, United Kingdom
Davide Di Ruscio, University of L'Aquila, Italy
Fuyuki Ishikawa, National Institute of Informatics, Japan
Gerson Sunyé, Nantes University, France
Istvan David, Université de Montréal, Canada
Jean-Michel Bruel, Université de Toulouse, France, France
Juergen Dingel, Queen's University, Canada
Manuel Wimmer, Johannes Kepler University, Austria
Marsha Chechik, University of Toronto,Canada
Pablo Oliveira Antonino, Fraunhofer IESE, Germany
Patrizio Pelliccione, Gran Sasso Science Institute, L'Aquila, Italy
Richard Paige, McMaster University, Canada
Rodrigo Santos, Universidade Federal do Estado do Rio de Janeiro, Brazil
Sebastien Mosser, McMaster University, Canada
Shaukat Ali, Simula Research Laboratory, Norway
Stefan Klikovits, Johannes Kepler University, Austria
Steffen Zschaler, King's College London, United Kingdom
*** Chairs ***
Fiona Polack, University of Hull, United Kingdom
Hugo Bruneliere, IMT Atlantique - LS2N (CNRS), France