Call for Papers on MARV: Multimodal and AI-Responsible data processing and deliVery in smart cities
MARV Workshop IEEE ISC2 2022
MARV banner for the IEEE ISC2 2022, 8th IEEE international smart city conference 2022, at 26-29 September 2022, in Paphos, Cyprus
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MARV workshop
Multimodal and AI-Responsible data processing and deliVery in smart cities

Cities have become actual “data engines” exploiting a huge variety of IoT urban sensors and devices recording multiple everyday activities in the city environment and producing large-scale heterogeneous datasets. This leads to new challenges for extracting valuable knowledge and technological and commercial value from data, leading to more accurate predictions and better analytics, which hold an unprecedented opportunity to shift the traditional methodologies, techniques, and tools of information extraction into new dimensions by cracking the problem of extreme-scale data analytics. To address these challenges, new scientific and technological contributions in the relevant domains are needed, to jointly boost efficiency, reliability, and performance in real-world applications with noisy data. The Workshop will be a forum for presenting the latest scientific contributions in multi-modal data analysis over heterogeneous, edge-cloud continuum architectures and high-performance (de-)centralized computing, along with the required technological solutions and frameworks that can enable their real-life implementations.

MARV aspires the convergence of a set of technologies in the areas of AI, analytics, multimodal perception, software engineering, networks, HPC as part of an Edge-Cloud Computing Continuum paradigm, as well as Edge-Cloud orchestration, to support data-driven real-time application workflows and decision making in modern cities, showcasing the potential to address technological and societal challenges very effectively.

Contributions can be analytical, empirical, technological, methodological, systemic or a combination of those. Papers reporting strong data-oriented systems engineering contributions backed by solid and appropriate evaluations are strongly encouraged. The impact of the contributions should be demonstrated in the context of the data-related aspects in the smart cities realm. Research contributions are solicited in all application areas pertinent to multimodal extreme scale data analytics for smart cities environments, including but not limited to:

  • Machine learning for Internet of Things
  • Audio-visual and multimodal data analytics and AI
  • Multimodal data fusion for streaming and batch analytics
  • Edge-cloud data management and distribution
  • Automated and advanced data labelling and annotation
  • Security in the edge-cloud continuum
  • Privacy preservation and data protection
  • Responsible AI and ethical governance
  • Anonymization techniques preserving contextual information
  • MLOps for multimodal analytics and AI in heterogeneous environments
  • Deployment, orchestration and offloading in the edge-cloud continuum
  • Distributed and federated learning
  • Just-in-time deep learning models (e.g. early exiting, dynamic computation graphs)
  • Collaborative edge computing with machine/deep learning
  • Resource-efficient ML/DL at the edge
  • Communications and networking for smart cities applications
  • Advanced visualizations and decision making
  • Multimodal datasets and open data
  • Novel and emerging applications in multimodal smart city analytics and AI
  • Human-in-the-loop for improving decision making in Smart City environments
Paper submission Guidelines:
Click here
Important Dates

Deadline for workshop paper submission

June 10th, 2022

Acceptance notification

July 1st, 2022

Final workshop papers due:

July 31st, 2022

Submission link:
Click here
Organizers

Sotiris Ioannidis,

Associate Professor, Technical University of Crete, Greece (sotiris@ece.tuc.gr)

Alexandros Iosifidis,

Professor, Aarhus University, Denmark (ai@ece.au.dk)

Dragana Bajovic,

Associate Professor, University of Novi Sad, Serbia (dbajovic@uns.ac.rs)

Technical Program Committee
  • Prof. Lukas Esterle, Aarhus University, Denmark
  • Prof. Dimitrios Chrysostomou, Aalborg University, Denmark
  • Prof. Dejan Vukobratovic, University of Novi Sad, Serbia
  • Dr. Theofanis Raptis, CNR, Italy
  • Dr. Nikolaos Passalis, Aristotle University of Thessaloniki, Greece
  • Dr. Dat Thanh Tran, SiloAI, Finland
  • Dr. Alessio Brutti, Fondazione Bruno Kessler, Italy
  • Prof. Adrian Muscat, University of Malta, Malta
  • Prof. George Spanoudakis, City University London, United Kingdom
  • Dr. Manolis Falelakis, INTRASOFT International, Greece
  • Tomas Pariente Lobo, Atos Research & Innovation, Madrid, Spain
  • Dr. George Bravos, ITML, Greece
  • Despina Kopanaki, Foundation for Research and Technology – Hellas, Greece

 

Roundtable Chair:

Claudio Cicconetti, CNR, Italy

Publicity and Web Chair:

Dora Kallipolitou, ZELUS, Greece

Workshop Agenda
Download the MARV Workshop Agenda
Click Here
Contact information

For inquiries concerning this Special Session please feel free to contact our Workshop Organisers:

Sotiris Ioannidis, Associate Professor, Technical University of Crete, Greece (sotiris@ece.tuc.gr)

Alexandros Iosifidis, Professor, Aarhus University, Denmark (ai@ece.au.dk)

Dragana Bajovic, Associate Professor, University of Novi Sad, Serbia (dbajovic@uns.ac.rs)

or send us an email at  marvel-info@marvel-project.eu

This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337.
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