Artificial Intelligence For Smart Cities

Contact persons

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University of West Attica, Department of Business Administration

Prof. Yannis Psaromiligkos

(yannis.psaromiligkos@uniwa.gr)
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University of West Attica, Department of Business Administration

Dr. Theodoros (Thodoris) Anagnostopoulos

(Theodoros.Anagnostopoulos@uniwa.gr)
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University of West Attica, Department of Business Administration

Theodoros Xanthopoulos

(xanthopoulos@uniwa.gr)

Abstract

Smart Cites or Cities 2.0 is the future of urban habitation, which emerged due to the development of Industry 4.0. Actually, 70 percent of human population will move towards urban areas by 2050 thus forming vast cities. Such cities will need advanced technical infrastructure exploiting research inventions and business innovations to provide a viable solution for earth population. Core technology of Smart Cities is based on Internet of Things (IoT), which provide the physical test-bed for such achievement. However, IoT without back-end intelligence is a flat technical approach between human needs and surrounding infrastructure. This gap is eliminated by the incorporation of Artificial Intelligence (AI) as a back-end technology used to interpret and understand human needs to provide a viable green ecosystem for citizen well-being.

In this Call for Papers (CfP) we are interested in exploiting how AI and surrounding technologies like Machine Learning (ML), Data Analytics, and Pervasive Data Science are used to treat the needs of Smart Cities’ building components like: (1) Smart Business and Industry, (2) Smart Education, (3) Smart Mobility and Wi-Fi, (4) Smart Digital Citizens, (5) Smart Open Data, (6) Smart Health, (7) Smart Farming and Agriculture, (8) Smart Grid and Energy Utilities, and (9) Smart Transportation.

Paper contributions from the industry, government, business, academia and research are expected.

Topic

Include, but are not limited to the following:

  • AI for Smart Business and Industry,

  • ML for Smart Education,

  • Data Analytics for Smart Mobility and Wi-Fi,

  • Pervasive Data Science for Smart Digital Citizens,

  • Data Analytics for Smart Open Data,

  • AI for Smart Health,

  • ML for Smart Farming and Agriculture,

  • Data Analytics for Smart Grid and Energy Utilities,

  • AI for Smart Waste Management,

  • Pervasive Data Science for Smart Transportation, and

  • Cyber Security for Context Awareness Systems in Smart Cities.

Publication – Paper formating – Submission

Papers will be published in ICPS Series, published by ACM and included in the ACM Digital Library. The ISBN for the PCI 2020 proceedings is 978-1-4503-8897-9.

Papers should be at most 6 pages in length.

AI4SC papers must be submitted to the EasyChair submission platform following the same submission and formatting guidelines as all other PCI 2020 submissions.
The submissions should be typeset using the templates of the ACM International Conference Proceedings Series (ICPS).

 

  • The Microsoft Word Submission Template could be retrieved from here.

  • The LaTeX Master Article Template could be retrieved from here.

The EasyChair submission platform is here.

 

Make sure to select the correct category “Artificial Intelligence for Smart Cities”

Deadlines

Full length paper submission:
till Monday, September 28, 2020
Notification of decision:
October 20, 2020
Camera-ready:
November 5, 2020

AI4SC 2020 Programm Committee

    • Theodoros (Thodoris) Anagnostopoulos, University of West Attica, Greece – ITMO University, Russia

    • Xristos Kytagias, University of West Attica, Greece

    • Dimitris Papakiriakopoulos, University of West Attica, Greece

    • Yannis Psaromiligkos, University of West Attica, Greece

    • Athanasios Spyridakos, University of West Attica, Greece

    • Nikos Tsotsolas, University of West Attica, Greece

    • Theodoros Xanthopoulos, University of West Attica, Greece

AI4SC 2020 Programm Committee

For more information on how to submit, how to prepare the Camera Ready version, registration, etc. visit the following PCI 2020 pages:
https://pci2020.uniwa.gr/submission-proceedings/
https://pci2020.uniwa.gr/camera-ready/
https://pci2020.uniwa.gr/registration-fees/

AI for Smart Business and Industry

ML for Smart Education

Data Analytics for Smart Mobility and Wi-Fi

Pervasive Data Science for Smart Digital Citizens

Data Analytics for Smart Open Data

AI for Smart Health

ML for Smart Farming and Agriculture

Data Analytics for Smart Grid and Energy Utilities

AI for Smart Waste Management

Pervasive Data Science for Smart Transportation

Cyber Security for Context Awareness Systems in Smart Cities