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Good News: We are glad to announce that Prof. Yang Yu, who was recommended as AI’s 10 to Watch by IEEE Intelligent Systems in 2018, has accepted to give a keynote titled with “On Landing Reinforcement Learning in Real-World Applications” at HASE2019.

We are quite sorry that Prof. Zhi-Hua Zhou can not give the keynote at HASE2019 due to the personal emergency.

The registration is open at https://ieeecomputersociety.regfox.com/hase2019.

Due to some technical problem, the registration site has not been opened yet. We are working hard with IEEE Computer Society and the registration site is supposed to be opened in a couple of days. Sorry for the delay.

Good News: Prof. Zhi-Hua Zhou, IEEE/ACM Fellow, has accepted to give a keynote titled with “Towards high assurance machine learning” at HASE2019.

Good News: Prof. Tao Xie, IEEE Fellow, has accepted to give a keynote titled with “Intelligent Software Engineering: Synergy between AI and Software Engineering” at HASE2019.

Good News: Prof. Tao Xie, IEEE Fellow, has accepted to give a tutorial titled with “Research Methodology on Pursuing Impact-Driven Research” at HASE2019.

The deadline of the workshop secCPS will be postponded to 19th October 2018.

CFP can be downloaded here.

A huge wealth of data exists in various system design, development, integration and evolution lifecycle including requirements, architecture design models and specifications, risk/issue reports, traceability/dependency matrices, user feedback, forum discussions, and so on. Data plays an essential role in modern system development and system-of-systems (SoS) integration, because insights about the quality of systems and SoSs as well as the dynamics of system design and development are usually hidden in tremendous volumes of data generated daily in the system lifecycle.

Due to the increasing complexity and scale of systems and SoS, it is of paramount importance to elicit and understand data relationships in multi-disciplinary engineering contexts to troubleshoot issues, and drive the decision-making process to assure system quality (reliability, availability, dependability, maintainability, security, privacy, safety, traceability, trustability, performance, etc.). System development lifecycle collaborations help link data and engineering tools to continuously engineer a system and SoS of high assurance.

HASE 2019 will focus on addressing the challenges and proposing methods, techniques, best practices, and tools to support data elicitation, visualization, sharing, and integration across engineering disciplines in effective and efficient data analytics for high assurance systems engineering including but not limited to cyber-physical systems, cloud systems and Internet of Things, software-intensive systems, embedded and mobile systems, distributed and parallel systems, autonomous systems, healthcare systems, and so on.

Venue: HASE 2019 will be held in Hangzhou, the capital and most populous city of Zhejiang province in China. Hangzhou sits at the head of Hangzhou Bay, which separates Shanghai and Ningbo. It is the southern terminus of the ancient Grand Canal waterway, which originates in Beijing. Its West Lake, celebrated by poets and artists since the 9th century, is a UNESCO World Heritage Site, encompassing islands (reachable by boat), temples, pavilions, gardens and arched bridges. On its south bank is 5-story Leifeng Pagoda, a modern reconstruction of a structure built in 975 A.D. With the world-renowned historical sites, Hangzhou is also an emerging technology hub and home to the e-commerce giant Alibaba, also hosted the eleventh G-20 summit in 2016.

  • 9 September, 2018:Submission Deadline
  • 23 September, 2018:Submission Deadline
  • 18 October, 2018: Acceptance Notification
  • 9 November, 2018: Camera-ready due
  • 9 December, 2018: Conference Programme Availability
  • On or before 9 November, 2018: Early Bird Registration
  • On or before 13 November, 2018: Early Bird Registration
  • 3-5 January, 2019: Conference Date

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