*DSAA2020 Special Session*

*Data Science for Cyber Physical Systems*
*Aims and scope:*
Special Session on Data Science for Cyber Physical Systems (DSCPS) aims to
bridge research in the data mining and engineering community (both industry
and research) by providing an open and interactive forum for researchers
who are interested in data mining and CPS. To discuss the methodologies and
technical foundations of data mining, machine learning, artificial
intelligence, and other knowledge discovery approaches for mining and
analyzing various types of CPS data. The overall objective is to facilitate
specialized tasks in safety, security, and resilience of CPS. Participants
of diverse background in either data mining, electrical and computer
engineering, and software engineering can benefit from this Special Session.

Special Session on Data Science for Cyber Physical Systems (DSCPS) is the
1st Special Session focusing on original research on concepts, tools, and
techniques from computer science, control theory, and applied mathematics
for the analysis and control of cyber physical systems, with an emphasis on
safety and security. By drawing on strategies from data mining, analysis,
computation and control, the mining for cyber physical systems is
applicable to both man-made cyber-physical systems (ranging from small
robots to global infrastructure networks) and natural systems (ranging from
biochemical networks to physiological models). Papers in the Special
Session are expected to range over a wide spectrum of topics from
theoretical results to practical considerations, and from academic research
to industrial adoption.

*Topics of Interest:*
Topics of interest include, but are not limited to:


   - Mining for Analysis, verification, validation, and testing.
   - Mining for Design, synthesis, planning, and control.
   - Programming and specification language.
   - Security, privacy, and resilience for cyber-physical systems with
   focus on computation and control.
   - Safe autonomy, Artificial intelligence and Machine learning in
   cyber-physical systems.
   - Applications and industrial case studies in: automotive,
   transportation, autonomous systems, avionics, energy and power, robotics,
   medical devices, manufacturing, systems and synthetic biology, models for
   the life sciences, and other related areas.


*Submission*

Submission Link: https://easychair.org/conferences/?conf=dsaa2020

Papers for a special session should be submitted to the special session
track instead of the main conference in the DSAA'2020 submission system.
Special session papers strictly follow the same specifications,
requirements and policies as the main conference submissions in terms of
the paper submission deadline, notification deadline, paper formatting and
length, and important policies. The paper length allowed for the papers is
a maximum of ten (10) pages.

The format for the papers is the standard 2-column U.S. letter style IEEE
Conference template. You can find more info here:
https://www.ieee.org/conferences/publishing/templates.html


Guidelines about formatting Research and Application tracks papers apply
also to Special Session papers.


*Important Dates*



*Special Session Submission Deadline: 24 May 2020Special Session
Notification: 26 Jul 2020*

*Organizers:*
Apurva Narayan, The University of British Columbia, Canada
Kapil Mathur, Microsoft, USA
Contact: [email protected].

-- 
*Dr. APURVA NARAYAN*  PhD
Assistant Professor | Department of Computer Science
                              The University of British Columbia | Okanagan
Campus
Adjunct Assistant Professor | Department of Systems Design Engineering,
                                               University of Waterloo,
Waterloo, ON, Canada
3187 University Way | Kelowna BC | V1V 1V7 Canada
Phone 250 807 8272 Ext. 78272
http://people.ok.ubc.ca/anaray02/
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