The International Workshop on Dependable Intelligent Systems (DeIS 2024) seeks to bring together researchers and practitioners to exchange and discuss the most recent dependability techniques and their applications on intelligence systems, such as driverless cars, unmanned aerial vehicle, mobile phone and so on. With the recent tremendous success of artificial intelligence in many software systems and hardware systems, increased research and efforts are incorporating artificial intelligence into the systems.
However, the quality assurance of intelligent systems is still at a very early stage. This year’s DeIS centers around three key scopes to bring researchers of diverse background (e.g., SRE, AI) with in-depth discussion and solutions for both dependability and intelligent systems: (1) how to define the dependability of intelligent systems; (2) how to increase the dependability of intelligent systems; and (3) how to better test and analyze the dependability of intelligent systems. Artificial intelligence has already significantly contributed to dependability communities. On the other hand, dependability for intelligent systems is still at a very early stage.
DeIS 2024 will be a workshop that seeks to develop a cross-domain community that systematically looks into both areas from the new perspective. The workshop will not only explore how we can apply the emerging dependability techniques to intelligent systems, but also the tools for assessing, predicting, and improving the dependability of intelligent systems. We hope DeIS can facilitate the process of creating intelligent systems with high quality, as well as accelerate the process of development and quality assurance with intelligence.
The list of topics includes, but is not limited to:
Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted. Detailed instructions for electronic paper submission, panel proposals, and review process can be found at QRS submission.
Each submission can have a maximum of ten pages. It should include a title, the name and affiliation of each author, a 300-word abstract, and up to 6 keywords. Shorter version papers (up to six pages) are also allowed.
All papers must conform to the QRS conference proceedings format (PDF | Word DOCX | Latex) and Submission Guideline set in advance by QRS 2024. At least one of the authors of each accepted paper is required to pay the full registration fee and present the paper at the workshop. Submissions must be in PDF format and uploaded to the conference submission site. Arrangements are being made to publish extended version of top-quality papers in selected SCI journals.
Submission| Name | Affiliation | Geographic Region |
|---|---|---|
| Siqian Gong | Beijing Jiaotong University | China |
| Bo Jiang | Beihang University | China |
| Yang Liu | Beijing Jiaotong University | China |
| Hanyu Pei | University of Science and Technology Beijing | China |
| Fangyun Qin | Capital Normal University | China |
| Yulei Sui | University of Technology, Sydney | Australia |
| Guanping Xiao | Nanjing University of Aeronautics and Astronautics | China |
| Xiaoyi Zhang | University of Science and Technology Beijing | China |
| Junjun Zheng | Osaka University | Japan |
