SITA' 25

    • Submission deadline

    June 30, 2025

    Extension : July 31, 2025.

    Firm deadline : August 10, 2025.

    Notification for authors

    September 14, 2025

    September 17, 2025

    Camera-ready papers

    September 29, 2025

    ABOUT SITA'25 CONFERENCE

    SITA'25 is the 15th International Conference on Intelligent Systems: Theories and Applications. It is a conference for the presentation, discussion and dissemination of the theory and applications of intelligent systems. It is the result of fruitful cooperation between moroccan universities and institutions since 2001. This conference brings together leading scientists, researchers and academics in Intelligent Systems from around the world. SITA'25 will be hosted by the National Higher School of Computer Science and Systems Analysis (ENSIAS). It is the fifteenth in the series of previous editions that have been held since 2001. SITA'25 will be held on October 20-21, 2025 at ENSIAS, Rabat, Morocco.

    Previous Editions

    1. Organized by ENSIAS-Rabat

    2. Organized by FST-Mohammedia


    3. Organized by INPT-Rabat

    4. Organized by FST-Mohammedia

    5. Organized by ENSIAS-Rabat

    6. Organized by INPT-Rabat

    7. Organized by EMI-Rabat

    8. Organized by FST-Mohammedia

    Topics and Scope of the Conference

    Artificial Intelligence


    Big Data Analytics

    Cloud and Edge Computing

    Cyber-Security and Information Security Systems

    Data and Software Quality

    Data Mining, Data Warehousing and Knowledge Management

    Decision Support Systems

    Distributed Platforms, Middleware, and Computing Paradigms

    E-Health

    Embedded Systems, Cyber-Physical Systems, and Internet of Things

    Explainable Artificial Intelligence

    Green and Sustainable ICT Development

    Intelligent Software Engineering

    Interoperability and Integration

    Publication And Indexing

    Authors are invited to send their original and previously unpublished papers (from 6 to 8 pages) in English following the IEEE templates (Word or Latex). Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements (IEEE Conference Record #67914). IEEE Xplore is indexed by popular abstracting and indexing databases, such as Scopus, Web of Science, etc.

    Authors of the best selected papers will be invited to extend their submissions for publication in a Special Issue of Scientific African Journal.

    Research still in early stages and doctoral research proposals may be submitted and will be included in a special poster session.

    SUBMISSION

    Authors are invited to send their original and previously unpublished papers (from 6 to 8 pages) in English following the IEEE templates (Word or Latex). The full papers should be submitted to the SITA'25 through the Openreview platform.
    Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements (IEEE Conference Record #67914). IEEE Xplore is

    OBJECTIVES

    This conference aims at presenting the latest research works dealing with up-to-date and emerging theories of Intelligent Systems together with their applications in different engineering fields: Distributed Computing, Telecommunications, Networking, Robotics, Data Mining, Big Data Mining, Pattern Recognition, Image, Audio and Video Processing. Emphasis will be particularly

    PRESENTATION

    Intelligent Systems: Theories and applications (SITA) is a conference for the presentation, the discussion and the dissemination of theories and applications of intelligent systems. It is the result of fruitful cooperation between moroccan universities and institutions. This conference brings together leading scientists, researchers and academics in Intelligent Systems from around the world.

    Workshops

    Artificial intelligence in medical applications

    This workshop aims to bring together diverse disciplines: computer science, artificial intelligence, machine learning, big data expertise and clinicians/medical researchers. It also provides an interdisciplinary platform for researchers and practitioners to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Intelligence in Medical Applications.
    The scope of this workshop includes the following areas:

    Clinical decision support systems

    Machine learning in medicine

    Intelligent systems in healthcare and medicine

    Natural language processing in medicine

    Biomedical image processing

    Signal processing

    Explainable AI (XAI) for medicine

    Artificial intelligence in image processing

    The main objective of this workshop is to provide an opportunity for researchers to have a more interactive and focused area to present and discuss new and emerging ideas about the application of artificial intelligence to image processing. It also invites scientist and engineers throughout the world to exchange and disseminate theoretical and practical information on methods and techniques that bring together artificial intelligence and image processing in all fields.
    The scope includes, but is not limited to:

    Machine learning in imaging

    Deep learning

    Image processing

    Computer vision & pattern recognition

    image segmentation

    Image filtering and restoration

    Image enhancement and segmentation






    KEYNOTE SPEAKERS

    On the Forms of Consciousness in Artificial Systems – Bernadette Bouchon-Meunier, CNRS-Sorbonne University

    Consciousness is a multifaceted and deeply complex concept. The debate over whether an intelligent system can possess consciousness has persisted for decades, yet it has gained renewed urgency with the rise of AI systems capable of engaging with humans in strikingly natural ways. We explore different dimensions of consciousness, ranging from phenomenological consciousness (linked to perceptions) to access consciousness (giving us information about one’s actions).

    The foundations for machine self-awareness were laid as early as 1982, when Marvin Minsky proposed that equipping systems with introspective capabilities—the ability to analyze their own functioning—could lead to self-conscious systems. This vision evolved in 2009 when Jacques Pitrat claimed that an artificial agent monitoring and regulating its own thought processes could articulate its reasoning to foster human acceptance, a concept that predates and perfectly complements today's Explainable AI (XAI) paradigm. A recent study provided a list of indicator properties derived from scientific theories to assess consciousness for an intelligent system. Building on these foundations, we examine key characteristics of AI consciousness that may be different from human consciousness.

    We explore the extent to which current or future systems could possess such forms of consciousness, as well as the potential benefits and drawbacks.



    Biography

    Prof. Bernadette Bouchon-Meunier is a CNRS Director of Research Emeritus at Sorbonne University and former head of the Database and Machine Learning department in the Computer Science Laboratory of the University Pierre et Marie Curie-Paris 6 (LIP6). She is the Editor-in-Chief of the International Journal of Uncertainty, Fuzziness and Knowledge-based Systems and has been co-Executive Director of the biennial IPMU international conference since 1986.

    B. Bouchon-Meunier has (co-)edited 32 books and (co-)authored five. She served as President of the IEEE Computational Intelligence Society (2020–2021) and is a Life Fellow of the IEEE and a Fellow of the International Fuzzy Systems Association. She received the EUSFLAT Scientific Excellence Award (2017), the IEEE CIS Fuzzy Systems Pioneer Award (2018), and the IEEE Frank Rosenblatt Award (2024).

    Signals, Selves, and Systems: AI for Modelling Cognition in Humans and Machines

    How do we come to understand minds — our own, others’, and now, those of machines? This talk traces a scientific journey through the evolving landscape of human-centred measurement and modelling. Underpinned by developments in machine learning we start by examining brain-computer interfaces and physiological sensing, where we seek to make internal states such as stress, focus, and intention visible and actionable through signals from the body. Next in recognition that human experience isn’t just captured through heartbeats and brainwaves but is also expressed in decisions, language and behaviour we examine how emerging specialist fields such computational psychiatry can leverage ideas from machine learning to reveal structure in how we behave and respond to uncertainty. Here AI is used to not only to detect mental health conditions, but to model the cognitive processes that underlie them. In a final twist I want to share about our recent efforts in which the very tools we developed to model humans have proven useful for understanding the new class of intelligent agents we are building. Techniques from cognitive science and psychiatry are now being used to interpret, align, and audit AI systems revealing that human and machine minds may not be so different after all.



    Biography

    Prof. Tomás Ward is the AIB Professor of Data Analytics at Dublin City University (DCU) and the DCU Site Director of the Insight Research Centre for Data Analytics. His expertise spans biomedical engineering, artificial intelligence, and digital health technologies. Prof. Ward holds a BE in Electronic Engineering, an MEngSc in Rehabilitation Engineering, and a PhD in Biomedical Engineering, all from University College Dublin. He began his career coordinating engineering research at the National Rehabilitation Hospital before transitioning to academia, holding roles at Maynooth University before joining DCU in 2018. At DCU, he founded the AI for Better Living research group, focusing on AI and machine learning for health, behaviour tracking, and decision-making in real-world settings.

    His industry experience includes serving as VP of Engineering at Qusp Inc. in San Diego, leading the development of real-time neural signal processing platforms. He has also held visiting research positions at prominent international institutions, including ATR in Japan, Tsinghua University in China, and the University of California, San Diego.

    Prof. Ward’s research has pioneered functional near-infrared spectroscopy (fNIRS) for brain-computer interfaces, non-contact optical sensing for vital signs, and privacy-preserving AI for wearable blood pressure monitoring and virtual sensing applications. His current research is focussed on AI agents, their alignment and adoption in behavioural change paradigms and the development of supporting regulatory guidelines for their use in software as a medical device. He is a strong advocate for open science, having curated influential datasets to enhance reproducibility in AI research. Beyond academia, he has led multiple commercialization efforts, co-founding startups in AI-driven clinical trials and infrastructure monitoring. A passionate advocate for STEM outreach, he co-founded Dublin Maker and regularly incorporates artists in residence to enhance outreach and communication of his work.


    REGISTRATION

    Registration form


    Registration includes : Registration fees for the Conference include attendance for two days, the proceedings, lunches, and cofee breaks.

    Author of multiple papers : If you have an additional paper accepted for the conference, you should pay a registration fee for each accepted paper.

    Multi-authors paper : Every paper must have at least one author registered. Other co-authors of the same paper wishing to attend the conference should register separately and pay the applicable registration fee. Author registration is non-refundable.

    Payment of registration fees : Registration for the conference will only be effective once all fees have been paid.

    Payment by bank transfer : to:Association AMSI.

    Adress : FST BD MOHAMMED 6 BP 146 BD MOHAMMED 6 LOT YASSMMINA MOHAMMEDIA.

    Bank Adress : Al Barid BANK, RABAT MADINAT AL IRFANE, Rabat Morocco.

    IBAN (24 Digits) : 350 810 0000000007500793 48

    Code SWIFT/BIC : ABBMMAMC

    What to send : Once the bank transfer done, please send an email to : sita25@sitaconf.org with a scanned copy of your payment (mentionning your full name and the paper ID(s)).

    PhD
    Student

    180€

    1800 MAD

    Moroccan Academic

    250€

    2500 MAD

    International Academic

    300€

    3000 MAD

    Participant From Industry

    350€

    3500 MAD

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