International Conference on Modern Artificial Intelligence & Data Science Systems
Mohammed V University in Rabat, Faculty of Science, Rabat


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Mohammed V University in Rabat, Faculty of Science, Rabat


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The 5th International Conference on Modern Artificial Intelligence and Data Science Systems (MAIDSS), as in MISC18, MISC20, MAIDSS22 and MAIDSS24, focuses on Artificial Intelligence and Data Science (AI&DS), their applications and how AI&DS fields can support societal challenges such as health and well-being, food and nutrition, agriculture, clean energy, transportation and risk management, for critical issues such as climate change, environmental and ecological protection, societal safety, etc. At the same time, the socio-economic context has also favored the emergence of frauds and other cyber-criminal activities. AI coupled to DS can be used to safeguard and protect users from these kinds of threats. AI&DS are potentially offering solutions to many practical issues of everyday life and if well exploited can positively revolutionize the life of the people.
MAIDSS aims to put in place sustainable mechanisms to strengthen and promote the cooperation between academics and professionals. It is also a key tool for strengthening industrial cooperation in AI R&D and bridging the gap between research and the market.
| Artificial Intelligence (AI) | Artificial Intelligence in Technology Trends | Artificial Intelligence in Business | Artificial Intelligence in Communication | Artificial Intelligence in Societal Challenges |
|---|---|---|---|---|
| Agentic AI & AI Agents | AI for Science | Business Intelligence | Cloud, Fog & Soft Computing | Agriculture |
| Agentic RAG & LLMs | Big Data | Business Modelling | IoT & Internet of Everything | Biometrics & Cyber Security |
| Cognitive Computing | Blockchain | Business Operations Management | M2M Systems and Services | Clean Energy & Environment |
| Constraint Programming | Collaborative & Decentralized Systems | Business Process Management | Microservices | Climate Change |
| Deep Learning | Computational Intelligence | Data Analysis | Mobile Adhoc Networks | Food and Nutrition |
| Embodied AI | Computer Vision | e-Learning Tools | Mobile and Multi Edge Computing | Health and Well-Being |
| Ethics & Governance | Data Mining & Web Mining | Enterprise Architecture (EA) | Network Evolutions (5G/6G) | GovTech |
| Expert Systems | Evolutionary Methods | Enterprise Engineering | Networking & Mobile Apps | Information Security & Privacy |
| Generative AI & Transformers | Human Computer Interaction | Enterprise Knowledge Engineering & Management | Next Generation Networks | Medical Diagnosis |
| Knowledge Systems & Semantics | Information Retrieval | Enterprise Resource Planning | Satellite Communication Systems | Risk Management |
| Logic & Fuzzy Logic | NLP & Machine Translation | Service Oriented Architecture | SDN & SRN & CRN | Smart Cities |
| Machine Learning | Quantum Computing | Supply Chain Management | Vehicular Networks | Smart Services and Platforms |
| Multi-Agent Systems | Robotics & Cobotics | Virtual Organisations | Virtual Network Function | Social Computing |
| Recommendation Systems | Sentiment & Content Analysis | Web Analytics | Wireless & Mobile Communication | Societal and Private Safety |
| Systems of Systems | Social & Multimedia Analysis | Web Services | Wireless Sensor Networks | Transportation |
| Etc. | Etc. | Etc. | Etc. | Etc. |
Important schedule details for authors and contributors.
Speaker: Dr. Aawatif Hayar
Minister of Solidarity Social Insertion and Family, Morocco
Cognitive Smart Cities Powered by a Moroccan Frugal Sovereign Social Artificial Intelligence Model.
Speaker: Dr. Shahina Begum
Professor of Artificial Intelligence · Deputy Leader, AI and Intelligent Systems
Mälardalen University (MDU), Sweden
Industrial AI systems are transforming modern industries, from manufacturing and energy to logistics and process control, enabling data-driven decision-making and operational efficiency. As these systems move from research prototypes to real-world deployment, ensuring trustworthiness becomes critical.
This keynote examines the current practice of industrial AI systems, highlighting successful implementations, common challenges, and lessons learned. It explores trusted AI principles: robustness under uncertainty, interpretability, and alignment with industrial processes.
Through real-world case studies, the talk demonstrates the impact of deploying trusted AI systems in industrial environments, emphasizing the enhancement of human confidence in AI-driven decisions.
Speaker: Dr. Vincenzo Piuri
Università degli Studi di Milano, Italy
Ph.D. in Computer Engineering (Polytechnic of Milan)
Full Professor, University of Milan (since 2000)
400+ publications · IEEE Fellow · IFIP Fellow
Once typically used for critical applications and services, biometric technologies are now pervasively permeating our everyday life enabling seamless and convenient identification and authentication (e.g., passport control, smart phone unlocking, voice command, automatic photo tagging).
Artificial intelligence has been shown effective to extract the relevant knowledge from biometric data in order to increase the performance and deal with less-constrained and on-the-move acquisition of biometric traits.
The broad availability of biometric data challenges personal identity and privacy and imposes the need of biometric data protection to prevent misuse and impersonation. This lecture will illustrate the main biometrics techniques and the use of artificial intelligence, their strengths, limitations, and applications.
Speaker: Dr. Amita Kapoor
AI & Data Analytics Consultant · Educator · Author
NePeur Founder · Neuromatch Board Member
LinkedIn: linkedin.com/in/amitakapoor
Agentic AI marks a shift from reactive systems to autonomous agents capable of reasoning, planning, and acting toward defined goals. By integrating large language models with memory, tool use, and feedback loops, these agents exhibit adaptive intelligence suited for dynamic environments.
However, deploying them in production presents major challenges—ensuring reliability, ethical alignment, and control over emergent behavior. Scalability, data drift, and long-term memory management add technical complexity. Overcoming these hurdles demands combining adaptive RAG, reinforcement learning, and human oversight to create AI systems that act responsibly and augment human decision-making across real-world applications.
Speaker: Dr. SENAPATI Biswaranjan, AmplifyCell Technology, USA,
PhD (Computer and Quantum Information Science)
Global Quantum Computing Scientist for USA, Rest of World
IEEE Region-4, SPAx Chair
ERP-SAP HANA Cloud Solution/Enterprise Architecture
This talk will cover the most advanced digitization of smart factory automation in comparison to traditional methods in Industries 4.0 or 5.0. While considering smart factories and digital transformation through SAP Business AI, artificial intelligence, generative and agentic AI, quantum artificial intelligence, and quantum machine learning play a vital role in addressing critical production issues, and they will connect multi-legacy systems to perform better battery cell industrial solutions. These innovations not only enhance efficiency but also enable real-time data analysis and predictive maintenance, significantly reducing downtime. As industries continue to evolve, the integration of these technologies will pave the way for more sustainable and responsive manufacturing processes. In this talk, I will present advanced technologies, including quantum technologies, quantum artificial intelligence, and quantum machine learning models that can support battery production at industrial manufacturing sites. Additionally, I will discuss several business and technological advancement concepts that contribute to digital innovations and transformations, supporting supply chain solutions for addressing critical production capacity and resource management in smart factories. These advancements enhance operational efficiency and pave the way for sustainable practices within the industry. By integrating these cutting-edge technologies, we can significantly improve decision-making processes and drive innovation across various sectors.
This talk explores how neuroscience can inform general AI design—and how AI can in turn assist neuroscience. Their intersection creates powerful opportunities for innovation, especially in fields like machine learning, cognitive science, and medical technology.
The proceedings will be published under the SPRINGER Book Series "Studies in Computational Intelligence", indexed in SCOPUS, DBLP, etc.
Selected high-quality papers will be invited for extended submission (over 20 pages) in the IJWET Journal. These will undergo an additional peer-review process before publication.
The conference will take place in Rabat, Morocco.
Online presentation options are available for authors unable to attend in person.
IDRISSI Abdellah
Intelligent Processing & Security of Systems (IPSS) Team, Computer Science Department
Faculty of Sciences of Rabat, Mohammed V University in Rabat
TBA
Each accepted regular paper or short paper MUST be uploaded by 07 December 2025. The format for camera-ready paper is available on the conference website: https://maidss.org/maidss26.
A regular paper is limited to 20 pages, with a maximum of 2 extra pages.
A short paper is limited to 8 pages, with a maximum of 2 extra pages.
If you wish to attend the conference, please fill out the following form: The form
InnovAI MAIDSS 2026 — Join the Hackathon for Innovation & Societal Challenges through AI and Data Science, held within the MAIDSS 2026 Conference.
Collaborate, innovate, and pitch your solution on January 20, 2026 at Université Mohammed V de Rabat.
Faculty of Science, 4 Avenue Ibn Battouta, Rabat, Morocco



















