October 2025 - computational.science

The 2nd International Workshop on Causality, Agents and Large Models (CALM)
by Yazan MUALLA 08 Oct '25

08 Oct '25

Please, accept our apologies in case of multiple copies of this CFP. ************************************************************************************************************************************* The 2nd International Workshop on Causality, Agents and Large Models (CALM) https://www.ciad-lab.fr/the-2nd-international-workshop-on-causality-agents-… In conjunction with the Luxembourg Logic & AI Summit https://icr.uni.lu/luxlogai2025/ University of Luxembourg, Luxembourg, 01-05 December 2025. ************************************************************************************************************************************** Description: ============ Causality, Agents and Large Models (CALM) represents three rapidly-growing fields within artificial intelligence research. This workshop aims to bridge the gap between these disciplines by investigating how causal reasoning and explainable AI (XAI) techniques can enhance the capabilities of multi-agent systems (MAS). The workshop will provide a forum for researchers to discuss theoretical foundations, practical applications, and future directions at the intersection of causal AI, XAI, Large Language Models (LLM) and MAS. CALM Workshop goals: ===================== -Explore the role of causal reasoning in enhancing decision-making, coordination, and adaptation in multi-agent systems. -Discuss technical challenges and opportunities for integrating causal AI techniques and LLM into MAS frameworks. -Develop methodologies and metrics to evaluate the explainability of causal reasoning in agents and large models. -Foster interdisciplinary collaboration between researchers in causal reasoning, XAI, LLM, and MAS. -Examine how explanations support user trust, cognitive ergonomics, and effective human-agent collaboration. -Identify promising directions for future research and development in this rapidly advancing research domain. Topics: ======= -Theoretical foundations of causal reasoning in Multi-Agent Systems (MAS) -Causal reasoning capabilities in Large Models (e.g., Large Language Models, LLMs) -Theoretical and practical Agentic-AI -Explainable AI (XAI) with active inference techniques -Applications of XAI techniques in agent-based modeling and simulation -Human-centered evaluation of causal explanations in MAS and LLMs -Causal inference in complex and dynamic multi-agent environments -Mechanistic Interpretability of Causality in Large Language Models -LLMs for coordination, cooperation, and communication among agents -Challenges and opportunities for incorporating XAI into MAS frameworks -Case studies and empirical evaluations of XAI approaches in agents -Generative AI as preprocessing for MAS -Exploring causality with deep generative models -Digital twins and simulators for interpretable synthetic data generation -Graph neural network causal learning -Interpretable and ergonomically-grounded root cause analysis methods for agent decision-making -Logic and argumentation-based approaches to causal reasoning -Ethical and Responsible XAI in LLM -Human Factors in XAI and Agentic AI -Adaptive and Personalized Explanations (Context-aware, and Human-centric) -Multi-modal explanations and Cross-cultural ergonomics -Ergonomic evaluation of explanation modalities (visual, textual, interactive) -Explainability in human-agent teaming: Ergonomic principles for effective collaboration in mixed teams (humans + AI agents) Submission guidelines: ====================== Submissions will be reviewed by at least three members of the program committee, who are experts in the field. The acceptance of the submitted papers will depend on their quality, relevance, and originality. All accepted papers will be published in the Springer proceedings Communications in Computer and Information Science (CCIS) series devoted to the publication of proceedings of computer science conferences. Participants are therefore invited to submit Long papers: up to 16 pages in length (excl. references) or Short papers: up to 5 pages in length (excl. references). Papers must be edited using the LNCS format and have to be submitted electronically as PDF files via the EasyChair submission page: https://easychair.org/my/conference?conf=calm25 Chairs: ======= -Dr. Yazan Mualla, Associate Professor, CIAD, Belfort-Montbéliard University of Technology yazan.mualla[at]utbm.fr https://www.ciad-lab.fr/yazan_mualla -Dr. Liuwen Yu, Postdoc, University of Luxembourg liuwen.yu[at]uni.lu https://www.liuwenyu.me/ -Dr. Hui Zhao, Assistant Professor, (Tongji University, China). huizhao[at]tongji.edu.cn -Dr. Amro Najjar, Assistant Professor, (Luxembourg Institute of Science and Technology, Luxembourg). amro.najjar[at]list.lu -Dr. Davide Liga, Postdoctoral Researcher, University of Luxembourg davide.liga(a)uni.lu Advisory Board: =============== -Prof. Dr. Stéphane Galland, Full professor, CIAD, Belfort-Montbéliard University of Technology stephane.galland[at]utbm.fr https://www.ciad-lab.fr/stephane_galland/ -Prof. Dr. Abdeljalil Abbas-Turki, Full professor, CIAD, Belfort-Montbéliard University of Technology abdeljalil.abbas-turki[at]utbm.fr https://www.ciad-lab.fr/abdeljalil_abbas-turki/ Important Dates ================ Paper submission deadline: October 16th, 2025 (final) Notification of acceptance: October 31st, 2025 Camera-ready: December 13th, 2025 Workshop dates: December 03rd, 2025 All deadlines are at the end of the day specified, anywhere on Earth (UTC-12). Previous proceedings: ===================== CALM-24 (Springer) https://link.springer.com/book/10.1007/978-3-031-89103-8

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The 7th International Workshop on Statistical Methods and Artificial Intelligence
by Marouane Dirchaoui 06 Oct '25

06 Oct '25

*IWSMAI'2026: The 7th **International Workshop on **Statistical Methods and Artificial Intelligence* *(SCOPUS Publications)* *April 14-16, 2026, **Istanbul, Türkiye* https://sites.google.com/view/iwsmai/home The 6th International Workshop on Statistical Methods and Artificial Intelligence (IWSMAI) will be held on *April 14-16, 2026, Istanbul, Türkiye.* The aim of IWSMAI is to bring together researchers, professors and students from around the world to present their latest ideas and research results within the scope of IWSMAI'2026. This workshop will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of the mentioned fields. The workshop will include presentations of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers. *Topics:* · Artificial Intelligence · Statistical methods · Data Analysis and Data mining · Computational Statistic · Supervised and unsupervised learning · Statistical methodology · Bioinformatics · Medical statistics · Deep Learning · Intelligent Transportation Systems · Data Collection and Applications · Data Science and Blockchain Technology · Data Science and Artificial Intelligence · Big Data · Mathematical Statistics · Economic intelligence · Statistical Software (R, SAS, Python) All accepted papers will be scheduled for oral presentations and will be included in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series on-line (indexed by *Scopus).* Selected papers will be invited for publication, in the special issues of: -International Journal of Ambient Intelligence and Humanized Computing (IF: 1.588), by Springer: https://www.springer.com/journal/12652 - International Journal on Transportation Research Part A: Policy and Practice (IF: 3.69): https://www.journals.elsevier.com/transportation-research-part-a-policy-and… - International Journal of Computing and Informatics (IF: 0.504): http://www.cai.sk/ojs/index.php/cai/index *Important Dates:* · Paper submission deadline: *December 15, 2025* · Notification of acceptance: *January 20, 2026* · Camera-ready submission: *February 09 , 2026* · Conference date : *April 14-16, 2026* *Contact :* Email: abdallah.abarda(a)uhp.ac.ma

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CFP: The 26th IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2026)
by Bahman Javadi 02 Oct '25

02 Oct '25

=================================== IEEE CCGRID 2026: CALL FOR PAPERS =================================== The 26th IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2026) In conjunction with the 10th IEEE International Conference on Fog and Edge Computing (ICFEC 2026) In-Cooperation with ACM SigHPC ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ May 18-21, 2026, Sydney, Australia https://ccgrid2026.cdms.westernsydney.edu.au ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGrid) is the premier forum for disseminating the latest advances in distributed systems, cloud computing, systems for AI/ML, distributed intelligence and future computing paradigms. In 2026, for the first time, CCGrid will be proudly hosted in Sydney, Australia, bringing together researchers, practitioners, and industry leaders from across the globe to explore innovations shaping the future of distributed and cloud technologies. ----------------------- Call for Papers ----------------------- We invite original, high-quality papers that address fundamental research and emerging challenges across a broad spectrum of distributed systems and applications. Submissions may focus on theoretical foundations, system design, implementation, or real-world deployments. We particularly encourage contributions stemming from industry efforts and academia-industry collaborations, including practical experiences, deployed systems, and applied research with tangible impact. Topics of interest include but are not limited to: (*) Track 1: Hardware Systems, Architectures, and Future Compute Platforms Scalable architectures, accelerators, SDN, high-performance interconnects, and novel computing platforms including quantum and neuromorphic systems. (*) Track 2: Software Systems, Applications, and Programming Models Middleware, operating systems, cloud-native platforms, programming frameworks, and distributed applications, including serverless, microservices, orchestration, and data-intensive systems. (*) Track 3: Sustainable Computing and Green Technologies Energy-efficient systems, carbon-aware scheduling, sustainable design across cloud-to-edge, and cost-aware optimization for sustainability and resource efficiency. (*) Track 4: Performance Modeling, Analysis, and Optimization Performance engineering, system benchmarking, modeling, and optimization for distributed and parallel systems, including reproducibility and workflow tuning. (*) Track 5: Security, Privacy, and Reliability Secure infrastructures, confidential computing, privacy-preserving systems, intrusion detection, and resilient, fault-tolerant platforms. (*) Track 6: Systems for AI/ML and Distributed Intelligence Scalable AI/ML systems, model serving, MLOps, edge intelligence, federated learning, and system-level support for distributed AI. ----------------------- Chairs and Committees ----------------------- General Chairs: Bahman Javadi, Western Sydney University, Australia Massimo Villari, University of Messina, Italy Michela Taufer, University of Tennessee, US Program Committee Chairs: Adel N. Toosi, The University of Melbourne, Australia Anne-Cécile Orgerie, CNRS, France Jon Weissman, University of Minnesota, US Workshops Chairs: Javid Taheri, Karlstad University, Sweden Luiz F. Bittencourt, University of Campinas, Brazil Posters Chairs: Mohsen Amini Salehi, University of North Texas, US Stefan Nastic, TU Wien, Austria Carlos Jaime Barrios Hernandez, Universidad Industrial de Santander, Colombia Publication Chair: Kanchana Thilakarathna, The University of Sydney, Australia Doctoral Symposium Chairs: Shrideep Pallickara, Colorado State University, US Mohammad Goudarzi, Monash University, Australia Narges Mehran, University of Salzburg, Austria Publicity Chairs: Minxian Xu, Shenzhen Institutes of Adv Tech, China Shashikant Ilager, Uni of Amsterdam, Netherlands Leila Ismail, UAE University, UAE Hojjat Baghban, Chang Gung University, Taiwan Guilherme da Cunha Rodrigues, IFSUL, Brazil Vivek K. Pallipuram, University of the Pacific, US Scale Challenge Computation Chairs: Lorenzo Carnevale, University of Messina, Italy Bernd Mohr, Jülich Supercomputer Centre, Germany ----------------------- Important Dates ----------------------- All deadlines are in Anywhere on Earth (AoE), UTC-12 timezone. Technical Papers: + Abstract Submission: 1st December 2025 + Paper Submission: 15th December 2025 + Author Notifications: 10th February 2026 + Camera Ready: 15th March 2026 + Conference: May 18-21, 2026 ----------------------- Paper Submission ----------------------- + Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including references, figures and tables using the IEEE format for conference proceedings. + Author and reviewer anonymity: All submissions need to be double-blind. + Review criteria: All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. + Accepted papers will be submitted for possible inclusion into IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements. ----------------------- Best Paper Awards ----------------------- CCGrid will present Best Paper Awards to the top paper(s) selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact of the research work on science and engineering, and the clarity of presentation.

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