[hpc-announce] CfP AI4AS (co-located with ACSOS 2025): deadline extended to July 11th

Valeria Cardellini cardellini at ING.UNIROMA2.IT
Thu Jun 26 13:08:56 CDT 2025


3rd Int'l Workshop on Artificial Intelligence for Autonomous computing Systems (AI4AS 2025)

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Co-located with IEEE ACSOS 2025
Tokyo (Japan), September 29 - October 3, 2025
https://urldefense.us/v3/__https://ai4as.github.io__;!!G_uCfscf7eWS!Yc7ZXDBehOfV8ApOul2qyrWjCDoWvLK8AhIgHjfUIcBmsiRS35rfbP1RnCGxZU7c2460h24ufuAmyciaXgsnENWbGqLBBOgIyg$ 
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Important Dates
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 - Submission deadline (extended): July 11, 2025
 - Notification to authors: July 31, 2025
 - Camera-ready deadline: August 8, 2025
 - Workshop: Sept. 29 / Oct. 3  (TBA)

All times in Anywhere on Earth (AoE) timezone.

Scope and Topics
================

Modern computing systems are characterized by increasing heterogeneity and
operate on larger and larger scales. Their complexity is hardly manageable by a
human being, especially when it comes to taking timely decisions in highly
dynamic environments or to guarantee strict Quality-of-Service requirements.
With the rapid evolution of AI and ML techniques - including generative AI,
agentic AI, and edge intelligence - new opportunities have emerged for
designing more robust, sustainable, and secure computing systems. AI and ML
techniques are increasingly adopted to assist or guide system
self-adaptation, as they are used, e.g., to extract relevant information
from highly dimensional and noisy monitoring data, to predict internal or
external dynamics, to automatically plan (and possibly activate) adaptation
actions.

However, there are still several challenges to face for researchers and
practitioners aiming to take advantage of these methodologies and incorporate
them in their systems. Fundamental issues towards the applicability of AI and ML
techniques across diverse domains must be investigated, especially as regards
the accuracy, robustness, explainability, safety, security, performance and
sustainability of AI-driven autonomous computing systems.

In this workshop, we solicit high quality contributions that fit with the
overarching theme of AI and ML meeting autonomous computing systems. We invite
submissions of original research papers, as well as vision papers and experience
reports.


Topics of interest include (but are not limited to):

- AI and ML techniques for self-* computing systems
- Architectures and frameworks for AI integration
- Sustainability aspects of AI-driven adaptation
- AI ethics, bias mitigation, and trustworthiness in self-adaptive systems
- Federated and multi-agent learning approaches for decentralized adaptation
- Robustness, explainability, safety, and security of AI-driven computing systems
- Integration of large language models (LLMs) and generative AI into autonomous computing systems
- Edge intelligence and distributed decision-making in autonomous systems
- Self-adaptation for AI/ML systems
- Case studies and real-world implementations of AI for autonomous computing systems

Submission Instructions
=======================
All submissions are required to be formatted according to the standard IEEE
Computer Society Press proceedings style guide. Papers can be submitted in PDF
format via EasyChair, making sure to select the track "AI4AS-Workshop":
https://urldefense.us/v3/__https://easychair.org/conferences/?conf=acsos2025__;!!G_uCfscf7eWS!Yc7ZXDBehOfV8ApOul2qyrWjCDoWvLK8AhIgHjfUIcBmsiRS35rfbP1RnCGxZU7c2460h24ufuAmyciaXgsnENWbGqKWymwzEA$ 

Submitted manuscripts must be no longer than 6 pages (including figures, tables,
and references).

Accepted papers will be published in the ACSOS Companion volume and will appear
in IEEE Xplore.

As per the standard IEEE policies, all submissions should be original, i.e.,
they should not have been previously published in any conference proceedings,
book, or journal and should not currently be under review for another
archival conference. We would like to also highlight IEEE's policies
regarding plagiarism and self-plagiarism, available here.

Moreover, as per IEEE guidelines, the use of content generated by artificial
intelligence (AI) in a submission (including but not limited to text, figures,
images, and code) shall be disclosed in the acknowledgments section.

At least one author of each paper must register to the conference 
in order for the paper to be published in the proceedings.

Workshop Co-Chairs
==================
- Valeria Cardellini (Tor Vergata University of Rome, Italy)
- Stefano Iannucci (Roma Tre University, Italy)
- Ilias Gerostathopoulos (Vrije Universiteit Amsterdam, The Netherlands)
- Gabriele Russo Russo (Tor Vergata University of Rome, Italy)


For information, feel free to contact: russo.russo at ing.uniroma2.it



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