posted by organizer: dbis2020 || 5867 views || tracked by 1 users: [display]

DB&IS-DC 2020 : Doctoral Consortium of the 14th International Baltic Conference on Databases and Information Systems

FacebookTwitterLinkedInGoogle

Link: https://dbis.ttu.ee/index.php?page=47
 
When Jun 17, 2020 - Jun 17, 2020
Where Tallinn, ESTONIA
Submission Deadline Mar 2, 2020
Notification Due Apr 6, 2020
Categories    information systems   artificial intelligence   data and knowledge engineering   security
 

Call For Papers

Aims and Scope
==================================
The Baltic DB&IS 2020 Doctoral Consortium is intended to bring together PhD students working on the crucial matters of engineering reliable, secure and sustainable information systems with data and data analysis in the central role. The Doctoral Consortium will provide PhD students an opportunity to:
- Present their research work in a relaxed and supportive environment;
- Discuss their work and receive constructive feedback and advice from leading researchers;
- Network with peers and future colleagues.

Structure and Topics of Interest
==================================
Topics should be in line with the main conference topics.

Paper Submission
==================================
PhD students are invited to submit papers (6-8 pages) describing their current work. The paper must be solely authored by the doctoral student. Acknowledgements to the supervisor can be included.

The language of the consortium is English. All submitted materials must be in English. Attendees must have sufficient proficiency in English to allow them to participate in the academic discussions at the Consortium.

The paper must adhere to the following conditions and include:
- Introduction and Motivation, identifying a significant problem in the field and its importance,
- Clear formulation of research question(s),
- State of the Art - describing related work or studies,
- Research Method, i.e., research methodology that is applied or planned,
- Results and their evaluation/validation.
- Conclusions.

Each submitted paper will be reviewed by at least two members of the Doctoral Consortium Programme Committee. The main evaluation criteria are: originality, significance, technical soundness, accuracy, and clarity.

Accepted Doctoral Consortium papers will be submitted for online publication as CEUR Workshop proceedings. CEUR proceedings are indexed in DBLP. Author of the best DC paper (written by a doctoral student) is invited to submit an extended version to international scholarly open access electronic journal Baltic Journal of Modern Computing (BJMC) (ISSN / E-ISSN: 2255-8950), which is indexed in SCOPUS as of 2020.

Doctoral Consortium Chairs
==================================
Eduard Petlenkov, Tallinn University of Technology, Estonia
Riina Maigre, Tallinn University of Technology, Estonia

Mentors / Advisory committee:
==================================
Audrone Lupeikiene, Vilnius University, Lithuania
Laila Niedrite, University of Latvia, Latvia
Gunnar Piho, Tallinn University of Technology, Estonia

Related Resources

DB&IS DC 2026   Baltic DB&IS Doctoral Consortium
AMLDS 2027   IEEE--2027 3rd International Conference on Advanced Machine Learning and Data Science
ICITS 2027   2027 The 15th International Conference on Information Technology and Science (ICITS 2027)
IEEE Big Data & Cross-AI MMAI 2026   6th Workshop on Multimodal AI
ICITS--EI 2027   2027 The 15th International Conference on Information Technology and Science (ICITS 2027)
Ei/Scopus-ACEPE 2026   2026 3rd IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2026)
ICISPC 2027   2027 11th International Conference on Imaging, Signal Processing and Communications (ICISPC 2027)
AAIML 2027   IEEE--2027 2nd International Conference on Advances in Artificial Intelligence and Machine Learning
IEEE EEIT 2027   IEEE--2027 The 5th International Conference on Engineering Education and Information Technology (EEIT 2027)
EEIT 2027   IEEE--2027 The 5th International Conference on Engineering Education and Information Technology (EEIT 2027)