Artificial intelligence is carving its own space due to the self-sustainable nature with self-governing and independent decision making in this world where the future belongs to connected devices. From smart homes, smart roads to the smart globe and beyond, intelligent communications systems are bound to play a great role that will dramatically change not only our daily lives but human civilization as a whole. Intelligence in connected vehicles brings one step closer to achieve the goals of fully autonomous and driverless efficient vehicles that enable the internet of Energy (IoEg) in vehicular networks.

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Artificial intelligence (AI) has recently drawn the attention of researchers and scientist. There are several AI problem-solving algorithms that have been proposed, most of which still are at early stages, improving and evolving with time. These algorithms have the capability to process huge amount of data and make intelligent decisions independently. In the absence of intelligence, communication networks function on conventional preset rules of business. With the massive and dynamin traffic demand from communicating devices on the network as well as heterogeneous nature of the system, it is highly unlikely to manage this dynamic communication system without the designing intelligence and/or machine learning-based schemes.

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Intelligence in vehicular networks is the demand of time that requires the network as well as the communicating vehicles to make smart decisions. Intelligence in the communicating network will further complement the security and privacy of the network. Intelligent communication protocols will lead to efficient use of available resources. Specifically, in hybrid and battery-powered vehicles, wireless battery charging advanced intelligent features can further make the on-road journey more economical and comfortable.

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This workshop aims to bring together researchers, academics, and individuals working in selected areas of intelligent communication networks including intelligent vehicular networks, intelligent and efficient cars and intelligent future networks as well. We welcome contributions from both the industry and the academia to highlight and introduce solutions to the challenges associated with intelligent communication network technologies. 

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Potential topics include but are not limited to the following:

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• Intelligent Internet of Vehicles

• Intelligent Transportation System

• Intelligent Wireless Vehicular Charging

• Intelligent Edge/Cloud Computing for the Communication systems 

• Intelligent Wireless Energy Transfer in Communication Networks

• Intelligent Mobile Computing and Sensing for the IoT and M2M  

• Intelligent Future Network Architectures

• Intelligent Internet of Energy (IoEg)

• Intelligent Autonomous Internet of Underwater Things (IoUT)

• Intelligent Security and Privacy for the Vehicular Communication Networks

• Intelligent Green Communication Networks

• Protocols and Standards of intelligent Communication Networks 

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