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June 3rd, 2025
Daniela Lopez de Luise
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June 3rd, 2025
Daniela Lopez de Luise Track 2 – Networking Solutions for Metaverse, Social Applications, Multimedia, and Games
Track Chairs:
Ombretta Gaggi, University of Padua, Italy (email: gaggi@math.unipd.it)
Manuela Montangero, University of Modena and Reggio Emilia, Italy (email: manuela.montangero@unimore.it)
IEEE Consumer Communications & Networking Conference
9–12 January 2026
Las Vegas, NV, USA
https://ccnc2026.ieee-ccnc.org/call-technical-papers
IMPORTANT DATES
Conference Dates: 9 January – 12 January 2026
Technical Papers due: July 1, 2025
Acceptance Notification: July 31, 2025
Summit at: https://edas.info/newPaper.php?c=33771&track=130953
SCOPE and MOTIVATION
Social applications, multimedia, and games play a substantial role in shaping Internet traffic and have emerged as dominant mode of social interaction online. This recent trend has sparked significant research interests, both at the network level and in terms of application and service development. Moreover, with the advent of the metaverse, research focus within these domains has expanded to encompass virtual worlds, immersive experiences, and social interactions in virtual environments. Given their increasing prevalence and interdisciplinary nature, social applications, multimedia, and games have also garnered research attention across diverse fields, including big data analytics, cloud computing, artificial intelligence, data sensing, information security, and privacy protection.
MAIN TOPIC OF INTEREST
The Networking solutions for social applications, multimedia, and games track seeks original contributions in the following areas, as well as others that are not explicitly listed but are closely related:
– Artificial Intelligence for social applications, multimedia, and games.
– Architectures, Platforms, and Protocols.
– Business models for social applications, multimedia, and games.
– Communication security for social applications, multimedia, and games.
– Data Sensing.
– Distributed games engines.
– Ethical considerations in social applications, multimedia, and games.
– Gamification and game-based learning in applications.
– Human-Computer Interfaces and Human-Machine Interfaces.
– Immersive storytelling and narrative techniques in multimedia and games.
– Knowledge discovery for social applications, multimedia, and games.
– Metaverse, virtual worlds, immersive experiences.
– Naming and routing of media streams.
– New paradigms of future communications networks.
– Non-visual Interfaces for accessibility and/or Virtual Reality.
– Novel applications for the social, multimedia, and games scenario.
– Smart moving and smart objects.
– Social computing and collective intelligence.
– Social influence and persuasion in multimedia and games.
– Social interactions in communication networks.
– Recommender algorithms.
– Rumor source localization in large-scale, real-world networking solutions.
– User profiling and behavior analysis.
– User engagement and retention strategies in social applications and games.
– Virtual reality and augmented reality applications.
June 3rd, 2025
Daniela Lopez de Luise
the International AI Doctoral Academy (AIDA) is excited to invite you to register and attend the upcoming hybrid (local/remote)
“Short Course on Deep Learning” by Prof. Ioannis Pitas (Aristotle University of Thessaloniki) which will take place in Aristotle University of Thessaloniki (AUTH), Greece, 13th July 2025.
This pre-symposium short course provides essential educational background for the AIDA AICET2025 Symposium and Summer School on “AI/ML Cutting Edge Trends” (July 14-18, 2025). However, participation in this short course is independent – attendees are welcomed but are not required to enroll in the AIDA AICET2025 Symposium and summer school.
This short course offers a good overview to all current progress in Deep Learning. It is ideal for persons (scientists, engineers, students, AI enthusiasts) interested in AI upskilling or reskilling. The only background knowledge needed is Mathematics (Calculus, Linear Algebra, Probability Theory) that are included in any Science or Engineering Curriculum. Persons coming from other backgrounds, e.g., Medicine or Linguistics, can also benefit, if they have some mathematical knowledge.
Lectures
Details
📅 Date and Time: July 13, 2025, 9:00 – 19:00 EEST.
📍 On-site: KEDEA Building, AUTH, Thessaloniki, Greece.
💻 Online: Zoom link will be provided in due time.
📜 Certificate of Attendance will be provided upon request.
🔗 Register to the Short Course on Deep Learning: https://icarus.csd.auth.gr/pre-symposium-introductory-short-course-on-deep-learning/
Also, you can register to the AIDA AICET2025 Symposium and Short course and check its scholarship options in: https://icarus.csd.auth.gr/aida-auth-ai-cutting-edge-trends-aicet2025-summer-symposium-and-school/
👥 Group Registration: Group registrations (comprising 5 registrants or more) can enjoy a 20% discount on the above registration fees (or even more in the case of a massive group registration).
More information on the various lectures, registration options, background needed and general conditions can be found on the event webpage.
In case of questions, you can contact the course manager Ms. Efi Patmanidou epatman@csd.auth.gr
We're excited to have you join us for this thrilling Deep Learning course in the stunning city of Thessaloniki!
Best regards,
Prof. Ioannis Pitas (AIDA chair, AUTH, AICET2025 chair)
Post scriptum: To stay current on AIDA, AI, or CV/ML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml
June 3rd, 2025
Daniela Lopez de Luise
June 3rd, 2025
Daniela Lopez de Luise 25-30 OCTOBER 2025 Bologna (Italy)
https://sites.google.com/view/explimed-2025/home-page
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AI has the potential to revolutionize medical care, but there are concerns about fairness and transparency. Explainable AI (XAI) is necessary to enhance transparency, accountability, and trustworthiness in medical AI systems. XAI provides understandable insights into AI-powered clinical decision-making, enabling healthcare professionals to trust recommendations and empowering patients to participate actively in their healthcare decisions. By addressing ethical concerns related to biased or discriminatory outcomes, XAI ensures fair and equitable healthcare practices. Finally, XAI aids in the validation process, offering insights into model predictions and facilitating the integration of AI technologies into clinical workflows.
This workshop aims to explore and exhibit research, methodologies, and case studies that focus on the integration of Explainable Artificial Intelligence (XAI) in the medical domain. It will provide a platform for researchers, practitioners, and policymakers to share their insights and advancements in XAI. The purpose is to improve transparency and trust in medical AI systems. The workshop aims to highlight the importance of XAI in medical decision-making, share innovative approaches and technologies that enhance interpretability in medical AI, and discuss regulatory implications and compliance strategies for incorporating XAI in healthcare AI applications.
Possible topics related to application in the healthcare domain include (but are not limited to):
– eXplainable Artificial Intelligence
– Post-hoc methods for explainability
– Ante-hoc methods for explainability
– Rule-based XAI systems
– Uncertainty modeling
– XAI methods for neuroimaging and neural signals
– Case-based explanations for AI systems
– Fuzzy systems for explainability
– Interpreting and explaining neural networks
– Model-specific vs model-agnostic methods
– Transparent and explainable learning methods
– Interpretable representational learning
– Causal inference and explanations
– Bayesian modeling for interpretability
**** IMPORTANT DATES ****
– Abstract submission deadline: May 10, 2025
– Paper submission deadline: May 21, 2025
– Notification of acceptance: July 21 2025
– Final paper submission: September 12, 2025
– Early registration deadline: TBA
– Workshop date: 25-26 October, 2025
**** SUBMISSIONS ****
Please ensure submissions follow the CEUR style guidelines, utilizing a one-column layout. Accepted paper formats include regular papers (10-20 pages) and short papers (5-9 pages) such as work-in-progress or position papers. Note: Both formats, if accepted, will be part of the workshop proceedings and must be written in English. Papers should be submitted in PDF format through the submission system (https://sites.google.com/view/explimed-2025/authors-guidelines/submissions). We encourage authors to use the LaTeX template and to include ORCIDs in their submissions.
The workshop will be held in person. Each accepted paper will be assigned either an oral or a poster presentation. In case of a high number of submissions, some papers may be allocated as posters instead of oral presentations.
**** PUBLICATIONS ****
All papers submitted to the EXPLIMED workshop will undergo a double-blind review by independent reviewers. They will be published in the CEUR Workshop Proceedings under a CC-BY 4.0 license (http://ceur-ws.org/) upon acceptance. CEUR-WS proceedings are typically indexed in Scopus.
**** REGISTRATION ****
Please refer to the conference website: https://ecai2025.org/
**** KEYNOTE SPEAKER****
Alberto Fernández Hilario, Full Professor of Computer Science and Artificial Intelligence, University of Granada
**** ORGANIZING COMMITTEE ****
– Gabriella Casalino, University of Bari, Italy
– Giovanna Castellano, University of Bari, Italy
– Katarzyna Kaczmarek-Majer, Polish Academy of Sciences, Poland
– Raffaele Scaringi, University of Bari, Italy
– Gianluca Zaza, University of Bari, Italy
**** CONTACTS ****
Any inquiries can be directed to gianluca.zaza@uniba.it and raffaele.scaringi@uniba.it