[PANRG] [CfP] 1st Vehicular Technologies with Cloud-assisted AI Computation - in conjunction with IEEE Cloudnet 2024 - Deadline extension (FIRM)

[Pedro Cruz <[e-mail]>]

== CALL FOR PAPERS (FIRM DEADLINE EXTENSION) ==

First Vehicular Technologies with Cloud-assisted AI Computation (1st 
Vehiclouds 2024)

In conjunction with IEEE Cloudnet 2024

27 November 2024, Rio de Janeiro - RJ, Brazil


https://cloudnet2024.ieee-cloudnet.org/workshop/vehiclouds-2024


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Paper submission deadline: 16 September 2024 30 September 2024 (extended 
deadline)

Notification of acceptance: 16 October 2024

Camera-ready papers: 21 October 2024

Workshop date: 27 November 2024

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The First Vehicular Technologies with Cloud-assisted AI Computation, 
Vehiclouds, will be held in Rio de Janeiro, Brazil, on November 27th, 
2024, in conjunction with IEEE Cloudnet 2024, at Pestana Rio Atlântica 
Hotel, in Copacabana, Rio de Janeiro.


Vehiclouds 2024 will include original full-paper presentations and a 
panel session with top researchers from the vehicular industry. 
Vehiclouds will also provide complementary activities of high interest 
to the attendees. The main goal is to promote fructiferous discussions 
between researchers from academia and the industry.


Accepted and presented papers will be published in the IEEE Cloudnets 
2024 Conference Proceedings and submitted to IEEE Xplore as well as 
other Abstracting and Indexing (A&I) databases.


== Topics of interest include, but are not limited to:


- Connected Vehicles (CVs) and Software Defined vehicles (SDVs);

- Radio technologies for vehicular networks and emerging technologies;

Integrated sensing and communication (ISAC) / joint communication and 
sensing (JCAS) with cloud integration;

- V2X communications (vehicles, road-side units, infrastructure, 
pedestrians), vehicular ad-hoc networks, and cloud integration;

- Cloud-based Advanced Driver-Assistance Systems (ADAS) and Autonomous 
Vehicles (AVs);

- Connected Vehicles data quality, selection, transmission, and storage;

- Network security and trust execution environments for vehicular systems;

- Data privacy management;

- Cloud and mobile edge computing collaboration;

- In-Vehicle Cloud Computing and Applications;

- Cloud-enabled telematics and Fleet Management Systems (FMS);

- AI-aided mechanisms for communication and applications;

- Emerging Machine Learning (ML) techniques for vehicular data analysis 
and modeling (e.g., Federated Learning);

- Applied ML for driver behavior analysis, fleet management, predictive 
maintenance, anomaly detection, navigation, recharging optimization, and 
other vehicle-related applications;

- Innovative services and smart mobility solutions;

- Vehicle digital twin of a vehicle;

- Sustainability and energy efficiency with Connected Vehicles.


== Paper Submission:


Authors are invited to submit original, unpublished research or 
experiences. Papers under review elsewhere must not be submitted to the 
conference. The paper specifications and templates are the same as those 
defined for full papers in IEEE Cloudnets 2024. We ask authors to refer 
to IEEE Cloudnets 2024 website for more details 
(https://cloudnet2024.ieee-cloudnet.org/authors/call-papers) Papers are 
submitted via EDAS (https://edas.info/N32808)


== Confirmed TPC:


Alessandro Bazzi (University of Bologna, Italy)

Thierno Barry (Stellantis, USA)

Heather Goldsby (Stellantis, USA)

Sergio Di Martino (Università degli Studi di Napoli Federico II, Italy)

Juan-Carlos Cano Escribá (Universitat Politècnica de Valencia, Spain)

Luca Davoli (Università degli Studi di Parma, Italy)

Andreas Pfadler (Volkswagen, Germany)

Luís Henrique M. K. Costa (UFRJ, Brazil)

Divanilson Rodrigo Campelo (UFPE, Brazil)

Nadjib Achir (INRIA, France)

Yacine Ghamri-Doudane (University of La Rochelle, France)

Rodrigo de Souza Couto (UFRJ, Brazil)

Pedro Cruz (UFRJ, Brazil)

Lucas Airam C. de Souza (UFRJ, Brazil)


== Workshop Co-Chairs:


Matteo Sammarco (Stellantis, France)

Miguel Elias M. Campista (Universidade Federal do Rio de Janeiro, Brazil)