AIGCSC 2023 : IEEE International Workshop on Artificial Intelligence (AI) enhanced Green Communication for Smart Cities
Call For Papers
Aims and Scopes:
Computational intelligence is everywhere in the modern world fostered by connected smart devices and computers with accelerated processors and GPUs to perform advanced machine intelligence tasks. Green communications and networking technologies, like LoRa, 5G/6G, and NB-IoT, make it easier to collect data energy-efficiently and develop novel applications at a low-cost. Machine intelligence and green communications bring artificial intelligence (AI) to smart cities among other domains, to enable better management of network resources, optimize operations and efficiency, and provide a more sustainable environment and user-centric services. Built on the advancing wireless infrastructures, the key question is how to make use of artificial intelligence in green communications and networking to better support smart cities.
This workshop aims to bring researchers from industry and academia working to the following area but are not limited to:
• Novel smart city applications with AI-enhanced green communication and eXtended Reality (XR).
• New architecture and protocols design of AI integrated green communication for smart cities.
• AI-enhanced green communication for security and trust in smart cities.
• AI-enhanced green communication for control schemes in smart cities.
• AI-enhanced green communication for smart data storage in smart cities.
• AI-enhanced green communication for LPWAN for smart cities.
• AI-enhanced green communication for device management for smart cities.
• Federated learning and green communications for smart cities
• AI-enhanced green communication for smart grid in smart cities.
• AI-enhanced green communication for Intelligent Transport System (ITS).
• AI-enhanced green communication for sustainable environment.
• AI-enhanced green communication for connected health in smart cities.
• AI-enhanced green communication for hard/software platforms in smart cities.
Prof. Houbing H. Song (IEEE Fellow); Professor, University of Maryland, Baltimore County, Maryland, USA.
Prof. Ahmed Abdelgawad; Professor, Central Michigan University, Michigan, USA.
Mohammad S. Khan; East Tennessee State University, USA. firstname.lastname@example.org
Amir H. Gandomi; University of Technology Sydney; Australia; Obuda University, Hungary. email@example.com
Sherali Zeadally; University of Kentucky, USA. firstname.lastname@example.org
Albena D. Mihovska; Aarhus University, Denmark. email@example.com
Khan Muhammad; Sungkyunkwan University, South Korea
Technical Program Committee:
Celimuge Wu; University of Electro-Communications, Japan
Bhargav Appasani; IIT Bhubaneswar, India
Zhi Liu; University of Electro-Communications, Japan
Rui Yin; Zhejiang University, China
Sushanta Mohapatra; IIT Bhubaneswar, India
Biju Bajracharya; East Tennessee State University, USA
Rizwan Patan; Kennesaw State University, USA
Anurudh Paranjothi; Oklahoma State University, USA
Pelusi Danilo; University of Teramo, Italy