The 2nd International Workshop on Dependable Intelligent Systems (DeIS 2020)


Description


The International Workshop on Dependable Intelligent Systems (DeIS 2020) 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 2020 will be a workshop which 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.

Topics


The list of topics includes, but is not limited to:

  • Machine learning techniques for dependability techniques
  • Bug analyzing in intelligent systems
  • Fault avoidance techniques in intelligent systems
  • Fault removal techniques in intelligent systems
  • Fault tolerance techniques in intelligent systems
  • Fault prediction techniques in intelligent systems
  • Design of robot intelligent systems
  • Design of mobile intelligent systems
  • Software dependability techniques

Submission


Authors are invited to submit original unpublished research papers as well as industrial practice papers. Simultaneous submissions to other conferences are not permitted.

Papers should be written in English and submitted in the PDF format. The length of a camera ready paper will be limited to ten pages, including the title of the paper, the name and affiliation of each author, a 150-word abstract, and up to 6 keywords. Shorter version papers (up to four pages) are also allowed.

Authors must follow the IEEE 8.5x11 2-column conference proceedings format (PDF | Word DOC | LaTeX) to prepare their papers. Each submission will be reviewed by at least three program committee members. Paper selection is based on the originality, technical contribution, presentation quality, and relevance to the workshop.

At least one of the authors of each accepted paper is required to pay full registration fee and present the paper at the workshop. Arrangements are being made to publish selected accepted papers in reputable journals.

Submission

General Chairs


Zheng Zheng's avatar
Zheng Zheng

Beihang University

Jing Zhao's avatar
Jing Zhao

Dalian University of Technology

Program Chairs


Bo Jiang's avatar
Bo Jiang

Beihang University

Guanping Xiao's avatar
Guanping Xiao

Nanjing University of Aeronautics and Astronautics

Program Committee


NameAffiliation
Bo JiangBeihang University
Guanping XiaoNanjing University of Aeronautics and Astronautics
Siqian GongBeijing Jiaotong University
Xiaoyi ZhangNational Institute of Informatics

Previous DeIS


  • DeIS 2019 - Fukuoka (in conjunction with DASC 2019)