IEEE ICCC 2023 Workshop on
Connected Autonomous Systems and Applications (CASA)
Dalian, China|10-12 August 2023
Scope:
Driven by the recent progresses on 5G/6G and AI, research interests in connected autonomous systems and applications (CASAs) are growing fast. In the CASAs the sensing, computing and AI models can be shared with each other to build comprehensive perception and reliable automation of systems. Examples of such CASAs include connected autonomous vehicles, connected autonomous factories, and connected smart learning environments.
While CASAs hold great potentials for safe and reliable system automation, communication and computing networks for CASAs present many new research challenges. For example, the resource sharing and cooperation in CASAs raise the big problems of trust and security of connected intelligent things. The connected autonomous applications require stringent and diverse QoS, which poses big challenging for the communication networks. And the large amount data generated by the connected intelligent things will drive demand in the CASAs to communicate, process and utilize them.
To unleash the potentials of CASAs, it is envisioned that CASAs need to be reliable, efficient and intelligent. As the specific challenges presented by CASAs have rarely been addressed, this CASA2023 workshop is to advocate and promote the research on the emerging CASAs, set up a platform for collaboration and discussions on the challenges and opportunities on CASAs.
Topics:
CASA Workshop welcomes submissions of original research as well as work-in-progress and position papers that describe original ideas and present new directions. We invite submissions covering the aspects around the design, development and evaluation of architectures, technologies and applications for CASAs, including but not limited to:
- Network architectures/protocols for CASAs
- Network QoS provisioning for CASAs
- Artificial intelligence, large language models, federal learning for CASAs
- Mobile edge computing and network virtualization for CASAs
- Software defined and cloud–assisted intelligent CASAs
- Cooperation of CASAs in sensing, computing and applications
- Advanced CASA use cases: connected automated road vehicles, unmanned arial vehicles/drones, ships, factories, etc.
- Trust, security and blockchain frameworks and mechanisms for CASAs
- Joint sensing, communication, computing and networking design for CASAs
- Data analytics and data mining for CASAs
- Digital twins & semantic communications for CASAs
- Multimode IoT and data analytics for connected smart learning environment
- Field trials, deployment and evaluation of CASAs
Organizing Committee
General Co-Chairs:
Yan Zhang, University of Oslo, Norway
Xiaoming Fu, University of Goettingen, Germany
Xu Du, Central China Normal University, China
Technical Program Co-Chairs:
Supeng Leng, UESTC, China
Jianhua He, University of Essex, UK
Zuoyin Tang, Aston Univeristy, UK
Tentative Invited Speakers:
Zilong Liu, University of Essex, UK
Wei Wang, Huazhong University of Science and Technology, China
Submission Procedure:
All paper submissions will be handled electronically via https://ieeeiccc2023workshops.edas.info/. All papers must be original and not simultaneously submitted to another journal or conference. Authors should prepare a PDF version of their full papers. Submitted papers should be no more than 6 pages long (for regular papers) and no more than 3 pages long (for position papers), in two columns, with standard margins and 10 point or larger font, and must fit properly on US "Letter"-sized paper (8.5x11 inches).
Please direct any questions about the paper submission process to the Workshop Chairs, Prof Supeng Leng (spleng@uestc.edu.cn) and Dr Jianhua He (j.he@essex.ac.uk).
Acknowledgement
This workshop is supported by European Union’s Horizon 2020 Research and Innovation Programme through the Marie Skodowska-Curie Grant COSAFE under Agreement 824019 and the Marie Skodowska-Curie Grant VESAFE under Agreement 101022280, and in part by International Joint Research Center for Ubiquitous Wireless Networks, Sichuan, China.
