December 2025 - computational.science

The 9th edition of Educational Knowledge Management (EKM2026)
by Yazan MUALLA 18 Dec '25

18 Dec '25

[Apology for cross-postings] ******************************************************************* CALL FOR PAPERS The 9th edition of Educational Knowledge Management (EKM2026) https://csedu.scitevents.org/EKM.aspx In conjunction with the 17th International Conference on Computer Supported Education (CSEDU), 18 - 20 may, 2026, Benidorm, Spain Chairs: Assistant Prof. Christine Lahoud, University of Technology of Belfort-Montbéliard, France Prof. Marie-Hélène Abel, HEUDIASYC CNRS UMR, University of Compiègne, France Associate Prof. Yazan Mualla, University of Technology of Belfort-Montbéliard, France Scope: The high volume of information in organizations has led researchers to focus on knowledge management (KM) as a form of competitive and success leverage. The interest in KM for the educational domain has been growing in recent years as a strategic approach for sustainable development. The use of KM in education can, for instance, help develop strategies to improve teaching effectiveness and student retention, support decision-making, analyze the impact of social media and games in learning, generate exam questions from text files, or provide personalized student guidance. For this 9th edition, we are opening up to AI-driven educational systems. This new focus highlights the growing impact of Agentic AI, Large Language Models (LLMs), Small Language Models (SLMs), and Explainable AI (XAI) in shaping next generation learning environments. By expanding our scope, we aim to explore how these technologies enhance personnalization, automation, and educational decision-making. We welcome submissions reporting original research that explores how KM technologies, Agentic AI, and Generative AI can address challenges related to the management and analysis of educational information in academic or professional learning institutions. Topics: We welcome papers describing original work applied to education. A non-exhaustive list of topics for the workshop includes the following: • Recommendation and Personalized Learning • Educational knowledge management and ontologies • Educational Data and Learning Analytics • Semantic Web and Linked Data in Education • Artificial intelligence, robotics and human-computer interaction in education • Natural Language Processing to improve educational effectiveness • Educational Systems and Software • Practical Learning and Pedagogical Methods • Agentic AI and autonomous educational agents • LLMs and SLMs for educational purposes • Generative AI and large language models for knowledge creation and tutoring • XAI for transparent educational decision-making • Human-centered design and ethics in agentic learning systems • Integrating KM frameworks with AI-driven adaptive learning • Collaborative intelligence and human-AI co-creation in education Paper Submission: Prospective authors are invited to submit papers in any of the topics listed above. Instructions for preparing the manuscript (in Word and Latex formats) are available at: https://csedu.scitevents.org/Templates.aspx Please also check the Guidelines (https://csedu.scitevents.org/Guidelines.aspx) Papers must be submitted electronically via the web-based submission system using the appropriate button on the conference page. Publications: After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier). All papers presented at the conference venue will be available at the SCITEPRESS Digital Library Important Dates: Paper Submission: (GMT anywhere on earth) Authors Notification: Camera Ready and Registration:

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The 3rd International Workshop on Causality, Agents and Large Models (CALM-26)
by Yazan MUALLA 17 Dec '25

17 Dec '25

Please, accept our apologies in case of multiple copies of this CFP. ************************************************************************************************************************************* The 3rd International Workshop on Causality, Agents and Large Models (CALM-26) https://www.ciad-lab.fr/calm-26/ In conjunction with The 17th International Conference on Ambient Systems, Networks and Technologies https://cs-conferences.acadiau.ca/ant-26/ April 14-16, 2026, Istanbul, Türkiye. ************************************************************************************************************************************** Description: ============ Causality, Agents and Large Models (CALM) represents three rapidly-growing fields within artificial intelligence research. This workshop aims to establish methodological integration between these disciplines by investigating how causal reasoning, agentic AI, and explainable AI (XAI) techniques can enhance transparency, decision-making, and adaptation in multi-agent systems (MAS). Agentic AI, which emphasizes autonomous goal-driven behavior and self-reflective reasoning in AI systems, introduces new paradigms for control, coordination, and accountability in intelligent agents. The workshop will provide a forum for researchers to discuss theoretical foundations, practical applications, and future directions at the intersection of causal AI, agentic AI, XAI, Large Language Models (LLM), and MAS. CALM Workshop goals: ===================== _Explore the role of causal reasoning and agentic AI in enhancing decision-making, coordination, and adaptation in multi-agent systems. _Discuss technical challenges and opportunities for integrating causal AI, agentic AI techniques, and LLM into MAS frameworks. _Develop methodologies and metrics to evaluate the explainability and autonomy of causal reasoning in agents and large models. _Foster interdisciplinary collaboration between researchers in causal reasoning, XAI, agentic AI, 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: ======= The main topics of the CALM-25 workshop are (but not restricted to): _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 for autonomous and reflective agents _Explainable AI (XAI) with active inference techniques _Integration of causal and agentic reasoning for adaptive multi-agent coordination _Applications of XAI techniques in agent-based modeling and simulation _Human-centered evaluation of causal explanations in MAS, LLMs, and agentic systems _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 and agentic principles 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 and Agentic AI 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: ====================== Submitted papers must be no longer than 6 pages including all figures, tables and references. The submitted paper must be formatted according to the Guidelines of Procedia Computer Science, Elsevier. Authors are required to write **The 3rd International Workshop on Causality, Agents and Large Models (CALM-26)** in the title section of the template, and not the name of the main conference. Kindly refer to the Template in the CALM-26 website. Submissions will be reviewed by 2-3 members of the program committee, who are experts in the field. The acceptance of the submitted papers will be based on scientific rigor, methodological soundness, contribution to causality and explainability in agents and large models, and originality. Authors are requested to submit their papers electronically as PDF files via the EasyChair submission page: https://easychair.org/my2/conference?conf=calm26 Proceedings =========== All accepted papers will be scheduled for oral presentations. At least one author of each accepted paper is required to register and attend the conference to present the work. All accepted and registered papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier and on Elsevier content platform ScienceDirect, and will be freely available worldwide. All papers in Procedia will be indexed by Scopus and by Thomson Reuters’ Conference Proceeding Citation Index, Scopus and Engineering Village (This includes EI Compendex),and DBLP. The papers will contain linked references, XML versions and citable DOI numbers. Chairs: ======= -Dr. Yazan Mualla, Associate Professor, CIAD, University of Technology of Belfort-Montbeliard, France yazan.mualla[at]utbm.fr https://www.ciad-lab.fr/yazan_mualla -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. Syrine Haddad, PostDoc researcher, CIAD, University of Technology of Belfort-Montbeliard, France syrine.haddad[at]utbm.fr Advisory Board: =============== -Prof. Dr. Stéphane Galland, Full professor, CIAD, University of Technology of Belfort-Montbeliard, France stephane.galland[at]utbm.fr https://www.ciad-lab.fr/stephane_galland/ -Prof. Dr. Abdeljalil Abbas-Turki, Full professor, CIAD, University of Technology of Belfort-Montbeliard, France abdeljalil.abbas-turki[at]utbm.fr https://www.ciad-lab.fr/abdeljalil_abbas-turki/ Important Dates ================ Submission deadline: December 27th (extended), 2025 Notification: January 20th, 2026 Final date for camera-ready: January 28th, 2026 Workshop: April 14-16, 2026 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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Postdoc position available in XAI
by Yazan MUALLA 16 Dec '25

16 Dec '25

Dear colleagues, In our project xHub (Supervision of Autonomous Robot Tractors in Warehouses and Logistics Platforms), we are hiring a post-doc in eXplainable AI. Attached is the job offer (in French). Contract Details: ● Start Date: March 1, 2026. ● Duration: 12 months. ● Work Location: Distributed Knowledge and Artificial Intelligence Laboratory (CIAD), University of Technology of Belfort-Montbéliard (UTBM), Belfort, France. ● Supervisors: Dr. Yazan Mualla<https://www.linkedin.com/in/yazan-mualla-51b10a93?originalSubdomain=fr> (UTBM) in collaboration with Dr. Françoise Fessant<https://www.linkedin.com/in/fran%C3%A7oise-fessant-90483616a/> (Orange, Paris). Contact: yazan.mualla(a)utbm.fr<mailto:yazan.mualla@utbm.fr> Thank you for helping to disseminate the word in your networks. Best Regards, Dr. Yazan Mualla Associate Professor Head of Specialty Program: Software Development Council member of the Lab. Distributed Knowledge and Artificial Intelligence (CIAD) EA 7533 Univ. Bourgogne Franche-Comté, UTBM, F-90010 Belfort, FRANCE Postal Address: Belfort-Montbéliard University of Technology, 13, rue Ernest Thierry-Mieg, 90010 Belfort Cedex, FRANCE

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2026 PAKDD Early Career Research Award Application (by "Dec 31, 2025 (23:59:59 PST)")
by Raymond Wong 04 Dec '25

04 Dec '25

2026 PAKDD Early Career Research Award Application (by "Dec 31, 2025 (23:59:59 PST)") ====================================================================================== Link: https://pakdd.org/awards.html#link3 Thanks to PAKDD Steering Committee, PAKDD will provide Early Career Research Award to an individual in the first 10 years after PhD. The award aims to promote young researchers in KDD fields when they create their career. It consists of a plaque (and potentially cash) to the awardee. The recipient will receive the award at the annual PAKDD Conference during the awards session. For any questions, please contact the PAKDD Junior Award Selection Committee Chair, Raymond Wong (email: raywong(a)cse.ust.hk ). Eligibility =========== 1. Anyone in the field can nominate one person. Self-nominations are excluded. The nominator should obtain the endorsement from the nominee before nomination. 2. The nominee’s PhD should have been awarded no earlier than December 31st, current year – 11 years. For example, for the year 2026 awards, this means no earlier than 31st December 2015. 3. The nominee can be anyone except the current PAKDD Award Selection Committee. 4. The nominee must have published at least one full/long paper in PAKDD, and attended at least one PAKDD conference to present his/her results. Selection Criteria ================== The application is evaluated based on the nominee's overall research contributions, leadership, and service in KDD fields since the awarding of the PhD. The awardee should commit to register for PAKDD 2026 and attend the PAKDD 2026 ceremony on-site to receive the award. The Award Selection Committee will evaluate all nominations and decide on zero or more winners. Submission Details ================== The nominator should send a single PDF file containing all the following documents by Dec 31, 2025 (23:59:59 PST) to the current PAKDD Award Selection Committee Chair, Raymond Wong (email: raywong(a)cse.ust.hk ). The email title is “PAKDD: Application of 2026 PAKDD Early Career Research Award”. In the email, please include the nominee in the CC list. 1. Statement including the following. Please use the given form at this link ( https://pakdd.org/Application_Forms/PAKDD%20Early%20Career%20Research%20Awa… ) a. Nominator Information i. Name ii. Email Address iii. Affiliation iv. Homepage URL b. Nominee Information i. Name ii. Email Address iii. Affiliation iv. Homepage URL c. Proposed Citation of Nominee (up to 25 words) d. Detailed Statement to Justify the nomination (500 words or fewer) 2. Endorsement Letter (approximate 1 page) written by at least one SC (Steering Committee) member who is not the nominator. The letter should include detailed statement about the nominee’s overall research, leadership, and service contributions in KDD fields since the awarding of the PhD. 3. Certificate showing PhD degree awarding intuition and the time receiving the PhD degree Only PDF files are accepted. No other file formats are accepted. Submissions violating the above guideline will be disregarded. Notifications will be sent to the nominators and the nominees by Jan 25, 2026 (23:59:59 PST). Nominations that did not result in an award in the current year can be re-submitted or updated in subsequent years as long as the eligibility conditions for the award still hold.

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CFP OLA'2026 Int. Conf. Optimization & Learning @Creta (Greece)
by El-Ghazali Talbi 02 Dec '25

02 Dec '25

Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2026 International Conference on Optimization and Learning 28-30 April 2026 Chania, Crete, Greece http://ola2026.sciencesconf.org/ SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The conference OLA'2026 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2026 welcomes presentations that cover any aspects of optimization and/or machine learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 12 pages - S3: High-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication Important dates: =============== Paper submission deadline extension Dec 19, 2025 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- *********************************************************************** OLA'2026 10th International Conference on Optimization and Learning (SCOPUS, Springer) April 28-30, 2026, Creta, Greece, https://ola2026.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS

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A post-doc in eXplainable AI
by Yazan MUALLA 02 Dec '25

02 Dec '25

Hello, In our project (Supervision of Autonomous Robot Tractors in Warehouses and Logistics Platforms), we are hiring a post-doc in eXplainable AI. The job offer (in French) can be found at this link: https://lnkd.in/e4aPAsUq Contract Details: ● Start Date: March 1, 2026. ● Duration: 12 months. ● Work Location: Distributed Knowledge and Artificial Intelligence Laboratory (CIAD), University of Technology of Belfort-Montbéliard (UTBM), Belfort, France. ● Supervisors: Dr. Yazan Mualla (UTBM) in collaboration with Dr. Françoise Fessant (Orange, Paris). Thank you for helping to disseminate the word in your networks. Best Regards, Dr. Yazan Mualla Associate Professor Head of Specialty Program: Software Development Council member of the Lab. Distributed Knowledge and Artificial Intelligence (CIAD) EA 7533 Univ. Bourgogne Franche-Comté, UTBM, F-90010 Belfort, FRANCE Postal Address: Belfort-Montbéliard University of Technology, 13, rue Ernest Thierry-Mieg, 90010 Belfort Cedex, FRANCE

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CFP: The 3rd International Workshop on Causality, Agents and Large Models (CALM-26)
by Yazan MUALLA 02 Dec '25

02 Dec '25

Please, accept our apologies in case of multiple copies of this CFP. ************************************************************************************************************************************* The 3rd International Workshop on Causality, Agents and Large Models (CALM-26) https://www.ciad-lab.fr/calm-26/ In conjunction with The 17th International Conference on Ambient Systems, Networks and Technologies https://cs-conferences.acadiau.ca/ant-26/ April 14-16, 2026, Istanbul, Türkiye. ************************************************************************************************************************************** Description: ============ Causality, Agents and Large Models (CALM) represents three rapidly-growing fields within artificial intelligence research. This workshop aims to establish methodological integration between these disciplines by investigating how causal reasoning, agentic AI, and explainable AI (XAI) techniques can enhance transparency, decision-making, and adaptation in multi-agent systems (MAS). Agentic AI, which emphasizes autonomous goal-driven behavior and self-reflective reasoning in AI systems, introduces new paradigms for control, coordination, and accountability in intelligent agents. The workshop will provide a forum for researchers to discuss theoretical foundations, practical applications, and future directions at the intersection of causal AI, agentic AI, XAI, Large Language Models (LLM), and MAS. CALM Workshop goals: ===================== _Explore the role of causal reasoning and agentic AI in enhancing decision-making, coordination, and adaptation in multi-agent systems. _Discuss technical challenges and opportunities for integrating causal AI, agentic AI techniques, and LLM into MAS frameworks. _Develop methodologies and metrics to evaluate the explainability and autonomy of causal reasoning in agents and large models. _Foster interdisciplinary collaboration between researchers in causal reasoning, XAI, agentic AI, 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: ======= The main topics of the CALM-25 workshop are (but not restricted to): _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 for autonomous and reflective agents _Explainable AI (XAI) with active inference techniques _Integration of causal and agentic reasoning for adaptive multi-agent coordination _Applications of XAI techniques in agent-based modeling and simulation _Human-centered evaluation of causal explanations in MAS, LLMs, and agentic systems _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 and agentic principles 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 and Agentic AI 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: ====================== Submitted papers must be no longer than 6 pages including all figures, tables and references. The submitted paper must be formatted according to the Guidelines of Procedia Computer Science, Elsevier. Authors are required to write **The 3rd International Workshop on Causality, Agents and Large Models (CALM-26)** in the title section of the template, and not the name of the main conference. Kindly refer to the Template in the CALM-26 website. Submissions will be reviewed by 2-3 members of the program committee, who are experts in the field. The acceptance of the submitted papers will be based on scientific rigor, methodological soundness, contribution to causality and explainability in agents and large models, and originality. Authors are requested to submit their papers electronically as PDF files via the EasyChair submission page: https://easychair.org/my2/conference?conf=calm26 Proceedings =========== All accepted papers will be scheduled for oral presentations. At least one author of each accepted paper is required to register and attend the conference to present the work. All accepted and registered papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier and on Elsevier content platform ScienceDirect, and will be freely available worldwide. All papers in Procedia will be indexed by Scopus and by Thomson Reuters’ Conference Proceeding Citation Index, Scopus and Engineering Village (This includes EI Compendex),and DBLP. The papers will contain linked references, XML versions and citable DOI numbers. Chairs: ======= -Dr. Yazan Mualla, Associate Professor, CIAD, University of Technology of Belfort-Montbeliard, France yazan.mualla[at]utbm.fr https://www.ciad-lab.fr/yazan_mualla -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. Syrine Haddad, PostDoc researcher, CIAD, University of Technology of Belfort-Montbeliard, France syrine.haddad[at]utbm.fr Advisory Board: =============== -Prof. Dr. Stéphane Galland, Full professor, CIAD, University of Technology of Belfort-Montbeliard, France stephane.galland[at]utbm.fr https://www.ciad-lab.fr/stephane_galland/ -Prof. Dr. Abdeljalil Abbas-Turki, Full professor, CIAD, University of Technology of Belfort-Montbeliard, France abdeljalil.abbas-turki[at]utbm.fr https://www.ciad-lab.fr/abdeljalil_abbas-turki/ Important Dates ================ Submission deadline: December 20th, 2025 Notification: January 20th, 2026 Final date for camera-ready: January 28th, 2026 Workshop: April 14-16, 2026 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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Call for Papers, PDSEC-2026 Workshop, 25th of May 2026 - New Orleans, USA
by Jean-Claude Charr 01 Dec '25

01 Dec '25

**CALL FOR PAPERS** The 27th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-2026) (https://www.ieee-tcsc.org/2026/pdsec/ <http://www.ieee-tcsc.org/2025/pdsec/>) will be held on the 25th of May 2026 in New Orleans, USA, in conjunction with IPDPS 2026. Deadline: PDSEC-2026 deadline: 19 Jan 2026 Scope and Interests: The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing (PDC) community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. In particular, we will focus on the following topics in parallel and distributed scientific and engineering applications, and not limited to: - Big scientific data - Performance modeling and simulation for the execution of scalable scientific applications on new heterogeneous architectures - Graph analytics with their (scientific) applications - Code modernization methodologies and experiences for adapting the changes in future computing systems - Languages for scientific computing on hybrid systems (e.g. Python, MPI+X where X is OpenMP, OpenCL, CUDA etc.) - Tools and techniques for improving the performance, reliability and resilience of scientific applications - Use cases of enterprise distributed computing technology (such as MapReduce, Data Analytics and Machine-learning tools) in scientific and engineering applications - Scalable parallel and distributed algorithms supporting science and engineering applications - Performance portability across heterogeneous architecture Important Dates: Paper submission due . . . . . . . . . . . . . . January 19th, 2026 Notification of Acceptance . . . . . . . . . . . February 25th, 2026 Final camera-ready paper . . . . . . . . . . . March 6th, 2026 Workshop . . . . . . . . . . . . . . . . . . . . . . . May 25th, 2026 General Chairs Sabine Roller, German Aerospace Center (DLR), Germany Camille Coti, École de Technologie Supérieure (ÉTS Montréal), Canada Program Chairs Raphael Couturier, University of Franche-Comte, France Neda Ebrahimi Pour, German Aerospace Center (DLR), Germany Publicity Chair Jean-Claude Charr, University of Franche-Comte, France Steering Committee Laurence T. Yang (Chair), St. Francis Xavier University, Canada Thomas Rauber, University of Bayreuth, Germany Gudula Runger, Chemnitz University of Technology, Germany Peter Strazdins, The Australian National University, Australia Web Chair Jiawei Wang, The University of Warwick, UK Jean-Claude charr Maître de conférences +33 3 84 58 77 85 Université Marie et Louis Pasteur IUT NFC - FEMTO-ST DISC 19 avenue maréchal juin 90016 Belfort

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