2021 International Conference on Networking and Machine Learning (CNML 2021) --EI Compendex, Scopus

Conference / Summit (onsite)
Artificial Intelligence (AI) & Machine Learning (ML)

Address: Guilin, Guilin, China
Date: 23 to 25 Jul '21

Visit Event Website


◆Call For Papers:

AI/ML-based smart networking

Applications of green networking technologies and principles 

Architectures, algorithms, and protocols 

Big data analytics for social networks

For more topics, please visit: http://www.cnml2021.net/topics.html 

◆Conference info: 

Welcome to join in the 2021 International Conference on Networking and Machine Learning (CNML 2021), which will be held in Guilin, China during July 23-25, 2021. CNML 2021 is technically supported by the University of Calabria, National Chiao Tung University, Southern University of Science and Technology, and so on.

Publication

All registered and presented papers will be published in the volume of conference proceeding, published by Journal of Physics: Conference Series (JPCS), indexed by EI Compendex, Scopus, Conference Proceedings Citation Index—Science (CPCI-S), Chemical Abstracts Service and other related databases.

Submission Method (Full paper / Abstract):

Electronic Submission System: https://cmt3.research.microsoft.com/CNML2021/ 

If you have any question about submission, feel free to contact us: cnml2021@163.com 

More Details about submission, please visit: http://www.cnml2021.net/submission.html 

Speakers of CNML 2021:

1. Prof. Saman Halgamuge, The University of Melbourne, Australia (Fellow IEEE)

Prof Saman Halgamuge is a Fellow of IEEE, a Professor in the School of Electrical, Mechanical and Infrastructure Engineering and a Distinguished Speaker/Lecturer on Computational Intelligence (2019-2021).

2. Prof. Dapeng Oliver Wu, University of Florida, USA (Fellow IEEE)

He is a professor at the Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL. His research interests are in the areas of networking, communications, signal processing, computer vision, machine learning, smart grid, and information and network security.

3. Distinguished Prof. Yaroslav D. Sergeyev, University of Calabria, Italy

He is the President of the International Society of Global Optimization and Head of Numerical Calculus Laboratory

4. Distinguished Prof. Chia-Feng Juang, IEEE Fellow, National Chung Hsing University, Taiwan

He served as the Chapter Chair of IEEE Computational Intelligence, Taipei Chapter, in 2017-2018, during which the chapter won the Outstanding Chapter Award from IEEE Taipei Session.

5. Prof. Alexandra Cristea, Deputy Head at the Computer Science Department, Warwick University, UK (FBCS, FHEA, SMIEEE)

Alexandra I. Cristea is Professor, Head of the Innovative Computing research group and Deputy Head at the Computer Science Department, Advisory Board Member at the Ustinov College, Durham University.

6. Assoc. Prof. Andrew Keong Ng, Singapore Institute of Technology, Singapore, (CEng, SMIEEE, Sr. MIES, MIET, AMIRSE)

Dr. Andrew Ng is an Associate Professor with the Singapore Institute of Technology. He is the Deputy Programme Director of the BEng (Honours) and MEngTech programs in Sustainable Infrastructure Engineering (Land), which focus on railway engineering and total preventive maintenance.

Conference Schedule

July 23rd, 2021: Participants Registration and Conference Kits Collection

July 24th, 2021: Keynote Speeches, Oral & Poster Sessions

July 25th, 2021: Lab Tour/Academic visit (pending)

Contact us

Ms. Fiona Liu

Tel: +852 68742737

Email: cnml2021@163.com 

QQ: 2026510645

Wechat: conf-consultant

CNML 2021 is dedicated to addressing the challenges in the areas of Networking and Machine Learning as well as its applications, presenting the latest scientific research results related to these topics. CNML 2021 looks forward to bringing together researchers and practitioners from academia and industries to focus on related topics and establishing new collaboration in these areas.

Original and high-quality papers are invited from the potential authors. The topics include, but are not limited to:

AI/ML-based smart networking
Applications of green networking technologies and principles
Architectures, algorithms, and protocols
Big data analytics for social networks
Big data and machine learning solutions for social networks
Cellular networks
Cloud-based social networks
Cognitive networks for energy efficiency
Cognitive radio networks
Communication Interference control
Wireless Sensor and Actor Networks, Ad hoc and Opportunistic Networks, Vehicular Networks
Trust, security, and privacy in wireless mobile networks
Data storage, data centers and cloud computing in wireless mobile networks
Mobile networks in Internet of Things (IoT) and Internet of Everything (IoE)Content centric networking
Mobility management and modeling in wireless mobile networks
Wireless network architectures
High performance network virtualization
Cross-layer design and optimization for wireless mobile networks
Multipath communication over wireless mobile networks
Mobile networks — 5G, 6G and beyond
Wireless & mobile network management and data services
Network design and customization
Artificial Intelligence in networking resource optimizations
Predictive analytics and predictive maintenance in networking
Energy-saving and QoE-oriented applications
Computer Vision & Machine Learning
Deep and Reinforcement learning
Advance Technique in Computing Algorithm
Machine learning for security and protection
Pattern recognition and classification for networks
Machine learning for Internet of Things
Machine learning for 5G system
Optimization & Performance analysis of machine learning methods
Experimental evaluations of machine learning
Machine learning for network slicing optimization
Machine learning for security and protection
Distributed and decentralized machine learning algorithms
Image Recognition & Experts System

CNML 2021 is dedicated to addressing the challenges in the areas of Networking and Machine Learning as well as its applications, presenting the latest scientific research results related to these topics. CNML 2021 looks forward to bringing together researchers and practitioners from academia and industries to focus on related topics and establishing new collaboration in these areas.

Original and high-quality papers are invited from the potential authors. The topics include, but are not limited to:

AI/ML-based smart networking
Applications of green networking technologies and principles
Architectures, algorithms, and protocols
Big data analytics for social networks
Big data and machine learning solutions for social networks
Cellular networks
Cloud-based social networks
Cognitive networks for energy efficiency
Cognitive radio networks
Communication Interference control
Wireless Sensor and Actor Networks, Ad hoc and Opportunistic Networks, Vehicular Networks
Trust, security, and privacy in wireless mobile networks
Data storage, data centers and cloud computing in wireless mobile networks
Mobile networks in Internet of Things (IoT) and Internet of Everything (IoE)Content centric networking
Mobility management and modeling in wireless mobile networks
Wireless network architectures
High performance network virtualization
Cross-layer design and optimization for wireless mobile networks
Multipath communication over wireless mobile networks
Mobile networks — 5G, 6G and beyond
Wireless & mobile network management and data services
Network design and customization
Artificial Intelligence in networking resource optimizations
Predictive analytics and predictive maintenance in networking
Energy-saving and QoE-oriented applications
Computer Vision & Machine Learning
Deep and Reinforcement learning
Advance Technique in Computing Algorithm
Machine learning for security and protection
Pattern recognition and classification for networks
Machine learning for Internet of Things
Machine learning for 5G system
Optimization & Performance analysis of machine learning methods
Experimental evaluations of machine learning
Machine learning for network slicing optimization
Machine learning for security and protection
Distributed and decentralized machine learning algorithms
Image Recognition & Experts System

Assoc. Prof. Andrew Keong Ng

Guilin, China Institute of Technology, Guilin, China (CEng, SMIEEE, Sr. MIES, MIET, AMIRSE)

Distinguished Prof. Yaroslav D. Sergeyev

University of Calabria, Italy

Prof. Alexandra Cristea

Durham University, UK (FBCS, FHEA, SMIEEE)

Prof. Dapeng Oliver Wu

University of Florida, USA (Fellow IEEE)

Prof. Saman Halgamuge

The University of Melbourne, Australia (Fellow IEEE)

Assoc. Prof. Andrew Keong Ng

Guilin, China Institute of Technology, Guilin, China (CEng, SMIEEE, Sr. MIES, MIET, AMIRSE)

Distinguished Prof. Yaroslav D. Sergeyev

University of Calabria, Italy

Prof. Alexandra Cristea

Durham University, UK (FBCS, FHEA, SMIEEE)

Prof. Dapeng Oliver Wu

University of Florida, USA (Fellow IEEE)

Prof. Saman Halgamuge

The University of Melbourne, Australia (Fellow IEEE)

Venue

Guilin

Organizer

EECT

Venue

Guilin

Organizer

EECT

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