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Subject:
From:
Sanjay Purushotham <[log in to unmask]>
Reply To:
Sanjay Purushotham <[log in to unmask]>
Date:
Mon, 2 Mar 2020 00:52:43 -0500
Content-Type:
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text/plain (108 lines)
[Apologies for multiple copies]

--------------------------------------------------------------
IEEE SMARTCOMP 2020
Call for Papers
22-24 June 2020, Bologna, Italy
http://www.smart-comp.org
--------------------------------------------------------------

IEEE SMARTCOMP is offering an exciting program of co-located events,
including
- 5 high-quality workshops
- 1 Industry track
- 1 PhD Forum (Forthcoming)
- 1 WIP & Demo (Forthcoming)

Below we provide the key features of each event.
For additional information, please refer to the conference website
http://www.smart-comp.org
and to the websites of the individual events listed below.

All submissions are handled through EDAS at
https://edas.info/newPaper.php?c=26894

-----------------------------------------------------------------------------------------

WORKSHOPS and INDUSTRY TRACK
-----------------------------------------------------------------------------------------

DEADLINES
Full manuscript due:             March 22, 2020
Acceptance notification:         April 13, 2020
Camera-ready deadline:           April 30, 2020

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WORKSHOPS: http://www.smart-comp.org/list-of-workshops.html
-----------------------------------------------------------------------------------------

IEEE SMARTCOMP 2020 is organising 5 high-quality workshops covering
distinct areas and hot topics
in the area of Smart Computing.  Accepted papers will be published in the
IEEE Explore Digital Library as
part of the overall conference proceedings.


The list of workshops and industry track are below. Please consider
submitting your work to the
most appropriate venues.

- BITS: Fourth IEEE Workshop on Big Data and IoT Security in Smart
Computing https://www.yama.info.waseda.ac.jp/bits2020/
- SSC: Sixth IEEE International Workshop on Sensors and Smart Cities
http://ssc2020.unime.it/
- SCIRS : First IEEE International Workshop on Smart Computing for
Industrial and Real-World Systems
- SMARTSYS: Fifth IEEE Workshop on Smart Service Systems
http://www.iet.unipi.it/smartsys2020/
- EdgeDL: Third IEEE International Workshop on Deep Learning on Edge for
Smart Health and Wellbeing Applications
https://sites.google.com/view/ieee-edgedl-2020/

--------------------------------------------------------------------------------------------
INDUSTRY TRACK:
http://www.smart-comp.org/call-for-papers-industry-track.html
--------------------------------------------------------------------------------------------

The 6th IEEE International Conference on Smart Computing (SMARTCOMP 2020)
draws upon many industrial applications such as transportation, energy,
environmental protection, resource management, healthcare, security,
banking, entertainment, and social media. In addition to the research
track,
this year SMARTCOMP will have a dedicated Industry Track. Accepted papers
will be published as part of a separate section of the main conference
proceedings
that highlights the Industry relevance of the submission. An important
criterion for papers to be submitted to the Industry Track is clear
industrial association,
either in the form of extensive evaluation of research results in
industrial use cases or active participation of industry representatives as
co-authors.
The industry track will provide a forum to discuss novel ideas and emerging
results, presenting innovative applications and tools, and bring about
novel research
questions, approaches, and directions, with an industry focus.

Topics of interest include, but are not limited to:

- Smart Cyber-Physical Environments and Energy / Water / Agriculture /
Transportation / Healthcare / Banking Infrastructure
- Security, Privacy, and Economics in Smart Environments
- Smart and Connected Communities across Cities
- Smart Computing Technologies
- Future Smart Computing Paradigms
- Smart Human Environments, Health, Entertainment, and Social Activities
- Smart Energy Management and Analytics
- Artificial Intelligence and Machine Learning for Smart Computing

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