Honorary
Chair
Chadi Assi Concordia University, Canada
Carlos Becker Westphall Federal University of Santa Catarina, Brazil
Organizing
Committee
Abderrahim Sekkaki, University HASSAN II of Casablanca,Morocco, abderahim.sekkaki@univh2c.ma Al-Sakib Khan Pathan Southeast University, Bangladesh, spathan@ieee.org
Mohamed EL KAMILI , University HASSAN II of Casablanca, Morocco, mohamedelkamili@ieee.org
Mohamed LAHBY University HASSAN II of Casablanca, Morocco, mlahby@gmail.com
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Scope
The future network world will be
embedded with many network architectures such as wireless sensor networks
(WSN), Internet of things (IoT), Cloud networks (CN), Fetmocellus networks
(FN), Vehicular networks (VN), and others. As innovative services and
applications arise in these network architectures, network management service
approaches will need to support scalability and robustness in a more proactive
and intelligent fashion.
In recent years, Machine learning
(ML) techniques have shown promise to be powerful tools in various domains,
such as computer vision, natural language processing (NLP), speech recognition,
computational biology, and others. Motivated by these successes, researchers
all over the world have recently started to investigate applications of this
technology to deal with problems ranging from radio access technology (RAT)
selection to low-latency communication, to low energy consumption in WSN, to
manage a massive number of IoT devices in real-time as well as the development
of networked systems that support machine learning practices.
The objective of this Workshop is
to bring together researchers to discuss recent developments related to all
aspects of machine learning applied to communication and networking systems.
Topics
Authors are invited to submit
previously unpublished papers to this Workshop. Topics include, but are not
limited to:
·
Machine
learning for next-generation wireless networks
·
Machine
learning for next-generation cognitive networks
·
Machine
learning for communication and network resource optimization
·
Machine
learning for communication and network operation and control
·
Machine
learning applied to WSN Applications
·
Machine
learning applied WSN Data Management
·
Machine
learning applied to WSN Data processing
·
Machine
learning applied to IoT Applications
·
Machine
learning applied IoT Data Management
·
Machine
learning applied to IoT Data processing
·
Machine
learning applied to Vehicular network applications
·
Performance
analysis of machine learning algorithms in next generation networks
Prospective authors are invited to submit an original Full or Short paper in IEEE PDF format via the EDAS online submission system: https://isncc-2020-mlngsnworkshop.edas.info/
Important Dates
Submission Deadline (extended): May 10, 2020 Still accepting late submissions
Acceptance Notification: July 31, 2020
Registration and Camera-ready copies of accepted papers : August 23, 2020
TPC Members
Dr. James
Brusey, Coventry University, United Kingdom Prof. Diego
Carvalho Federal Centre for Engineering Studies and Technological Education - Brazil
Prof. Klaus
David, University of Kassel, Germany
Prof. Ke-Lin Du, Concordia University, USA
Mr. Salim El khediri,
College of Computer & Qassim University, Saudi Arabia
Prof. Youssef
BADDI, UCD, El Jadida, Morocco
Dr. Nariman
Farsad, Stanford University USA
Prof . Mohamed
El kamili, University Hassan II, Casablanca Morocco
Prof. Jihene
Rezgui, College Maisonneuve, Canada
Dr. Benoit
Hudzia, StateStreet Bank, United Kingdom
Prof. Jingon
Joung, Chung-Ang University, Korea
Mr. Jun-Won
Kim, Chungnam National University, Korea
Prof. Steven
Latré , University of Antwerp - imec, Belgium
Prof.
Chun-Hung Liu, Mississippi State University, USA
Dr. Tony Luo,
Institute for Infocomm Research, Singapore
Prof. Amitabh
Mishra, University Of Delaware USA
Dr. Cong Shen
University of Science and Technology of China
Dr. Catarina
Silva, University of Coimbra, Portugal
Mr. Angelo
Spognardi Sapienza, University of Rome Italy
Prof. Nick
Taylor, Heriot-Watt University, United Kingdom
Prof.
Chen-Khong Tham, National University of Singapore
Dr.
Dan-Cristian Tomozei ,Cisco Switzerland
Prof. Minghua
Xia, Sun Yat-sen University China
Dr. Kuai Xu,
Arizona State University, USA
Dr. Yi Zou Intel Corp. USA
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