INTELSYST 2026

Deadlines
Machine Learning/CORE Unranked

INTELSYST 2026

7th-Edition EMENA Internationale Conference on Intelligent Systems and Smart Techonlogies INTELSYST 2026

Oct 22 2026Private University of Fez, Fez, MoroccoOfficial conference site Site reachable

INTELSYST 2026 is the 7th edition of the EMENA International Conference on Intelligent Systems and Smart Technologies, held in Fez, Morocco, bringing together global researchers and practitioners to present cutting-edge work in AI, machine learning, and computer science. The conference features peer-reviewed paper presentations, keynote talks by leading experts, workshops, and poster sessions, with accepted papers published in Springer proceedings indexed in Scopus and Web of Science.

Key deadlines

Verified September 9, 2026

Abstract registration

June 29, 2026

AoE

Full paper

July 30, 2026

AoE

Conference timeline

Submission and decisions

Abstract registrationKey deadline

June 29, 2026 · AoE

Full paperKey deadline

July 30, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Full paper

Finished or consolidated R&D works, with a 10-page limit.

Short paper

Ongoing works with relevant preliminary results, open to discussion, with an 8-page limit.

Poster paper

Initial work with relevant ideas, open to discussion, with a 6-page limit; authors must also present a physical A1 or A2 poster.

Company paper

Papers showcasing practical experience, R&D, or tools from companies, with a 4-page limit.

Research areas in scope

01

AI Foundations, Machine Learning & Deep Learning

Core Learning: Supervised, Unsupervised, Online, and Active LearningAdvanced Architectures: Deep Learning (Generative Models, Foundation Models, LLMs/VLM)Modern Paradigms: Federated & Self-Supervised Learning, Transfer LearningBio-Inspired AI: Neural Networks, Evolutionary Computing, Swarm Intelligence, and Neuromorphic ComputingEmerging Tech: Quantum Machine Learning (QML), Probabilistic Methods (Bayesian, Monte Carlo), and Optimization
02

Data Science, Big Data & High-Performance Computing

Analytics & Mining: Knowledge Discovery, Data & Process Mining, Predictive Modeling, and ForecastingKnowledge Engineering: Representation, Reasoning, and Data VisualizationInfrastructure: High-Performance Computing (HPC), Quantum information, Parallel Algorithms, Cloud and Scalable ComputingEdge Intelligence: Edge/Fog Computing, Wearable Computing, and MLOpsTime Series: Analysis and Inverse Problems
03

Cybersecurity, Trustworthy AI & Ethics

Trustworthy ML: Explainable AI (XAI), Interpretable AI, Fairness, Robustness, Privacy, and SafetyCyber Defense: Intrusion Detection/Prevention, AI for Cybersecurity, and Cryptography (including Quantum Cryptology)Distributed Security: Blockchain Technologies, Secure and Privacy-Preserving MLIdentity & Access: Biometrics, Watermarking, Secure Transactions, and Identity in IoTSocietal Impact: Ethics, Policy, Legal Tech, and AI for Sustainable Development
04

Intelligent Systems, Robotics & Communications

Perception & Language: Computer Vision, Image/Video Analysis, NLP, and Conversational AIAutonomous Systems: Robotics, Multi-Agent Systems (MAS), Autonomous Vehicles, and Drone SwarmsNext-Gen Networks: Wireless/Mobile Networks (5G/6G), IoT, and M2M CommunicationsNetwork Resilience: Virtualization, Survivability, Green Networks, and Smart GridsHuman-Centric AI: Human-Computer Interaction (HCI), Brain-Computer Interfaces (BCI), and Social Network Analysis
05

Applied AI & Domain-Specific Solutions

Industrial AI: Digital Twins, Industry 4.0, Logistics, Transport, and Smart Energy SystemsHealth & Life Sciences: Smart Health, Bioinformatics, and Life SciencesSociety & Education: Smart Education, Intelligent Tutoring Systems, E-Learning, and Educational GamesEnvironment: Environmental Monitoring, Climate Science, Smart Farming, and AgricultureEconomy & Business: AI in Finance, Economics, Management, and Business Process ManagementImmersive Tech: Augmented/Virtual Reality (AR/VR), Gaming, and EntertainmentLegal Technologies and Applied Mathematics for ML

Policies worth checking twice

  • All papers undergo double-blind review by at least two Program Committee members.
  • Submitted papers must not include author names, affiliations, or identifying information in the review version.
  • Papers must not have been published before and must not be under review elsewhere.
  • Full papers can be accepted as short or poster papers; short papers can be accepted as poster papers only.
  • Authors of accepted papers must maintain the original page count in the camera-ready version if the paper type is downgraded.
  • At least one author must register by 30 September 2026 for the paper to be published.
  • Only one paper per registration is included; additional papers require an extra fee, with a maximum of one additional paper per registration.
  • Authors must submit a Consent to Publish form with the camera-ready version.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026