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Rabih Amhaz

I study how people perceive, decide and act, and build AI that learns from it.

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The human brain. The core of innovation.

Perception becomes understanding. Understanding becomes ideas. Ideas become technology. My research starts with the people at the centre of that process.

Multimodal AI and human factors

Learning from real behaviour: gaze, hand motion, posture and neurocognitive signals, recorded where people actually work.

HABIT

Human-centred AI for behaviour learning in industrial technologies

Industry 5.0 needs systems that understand the operators who run them. HABIT models cognitive load and well-being on a real 5.0 production line at Icam Strasbourg-Europe, with ICube and the Human-IST lab of the University of Fribourg.

SkyMind

Pilot performance in simulated flight

Integrated eye tracking, hand tracking and AI to understand pilot attention and workload in simulated flight conditions.

Eye-tracking capture at VivaTech 2025: numbered fixations joined by gaze lines across the hall
Rest your pointer on the photo to leave your own fixations.

VivaTech 2025 study

Attention in a crowded innovation hall

A self-experiment with a Pupil Labs eye tracker at Europe's largest tech event: where gaze lands, how we navigate overload, and why we leave exhausted.

Trustworthy and explainable AI

AI people can question. Explainability metrics for security models, and generative agents limited to specific, ethical tasks.

speGAI

Specialised generative AI agents

Generative agents built for one specific, ethical task instead of answering everything.

Explainable intrusion detection

With Amani Abou Rida and Pierre Parrend

Benchmarks and metrics for how well explanation models describe cyberattack detection on IoT data.

Graphs and complex systems

Data where relations matter as much as values: graph neural networks, dynamic graphs and graph-tabular fusion.

AI for automotive data

CIFRE PhD with Cat Data

Hybrid graph-tabular models to reconcile and validate vehicle data at scale: VIN records, maintenance histories, parts and manufacturers.

Anomaly detection on graphs

Static and dynamic graphs

Inductive node embeddings with graph convolutional networks to spot attacks in network traffic.

Vision for infrastructure and industry

Where my research started: detecting thin cracks in pavement images, now extended to industrial inspection and safety.

MIIRAG

Imaging AI for safe roads

Maintenance through imaging and AI for safer roads and better infrastructure governance.

Laser weld prediction

With Victor Hayot and Icam colleagues

Machine learning that predicts laser weld penetration on multi-material data.

Publications

Selected papers since 2013. Full profiles on ORCID, Semantic Scholar and ResearchGate.

  1. 2025

    Machine learning for prediction of laser welds penetration on a multi-material dataset

    International Journal of Advanced Manufacturing Technology 140, 2895-2907

    V. Hayot, R. Amhaz, S. Lecler, A. Alves Ferreira, G. Chabrol

  2. 2023

    Metrics for evaluating interface explainability models for cyberattack detection in IoT data

    CCE 2023

    A. Abou Rida, R. Amhaz, P. Parrend

  3. 2022

    Evaluation of anomaly detection for cybersecurity using inductive node embedding with convolutional graph neural networks

    Complex Networks 2021, Madrid

    A. Abou Rida, R. Amhaz, P. Parrend

  4. 2015

    Automatic crack detection on 2D pavement images: an algorithm based on minimal path selection

    IEEE Transactions on Intelligent Transportation Systems

    R. Amhaz, S. Chambon, J. Idier, V. Baltazart

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2025

2024

2023

2022

2020

2016

2015

2014

2013

Conferences and workshops

Public and private talks that help people use AI with judgement, from military governors to master's students.

  1. Rabih giving the visionary lecture in a Fribourg lecture hall

    After attention, what will the MIND complex system do next?

    Visionary lecture, University of Fribourg, Digital Neuroscience Master

    18 November 2025

    Watch
  2. Rabih at the 2IRD 2025 podium

    Industrial Digital Transition session

    Session chair, Icam International Research Days (2IRD 2025), Strasbourg

    18 to 19 June 2025

  3. Full amphitheatre at Icam Toulouse during the talk

    The art of the prompt for generative AI

    Conference, Icam Toulouse amphitheatre

    25 September 2024

  4. Team VerbaVite holding three prize certificates

    Three prizes with team VerbaVite

    Hackathon coach, Hacking Health Camp 2024, Strasbourg

    April 2024

  5. Rabih speaking on stage at the Palais du Gouverneur Militaire

    Trusted generative AI for cybersecurity

    Public conference, Palais du Gouverneur Militaire de Strasbourg, with Icam Alumni

    2024

    Watch
  6. Rabih presenting research in AI in front of a projected slide

    Research in AI and the role of industry

    Conference, Icam Strasbourg-Europe

    11 October 2023

  7. Also on stage

    • The trilogy of technology for e-logistics jobs, UVSQ master's in logistics
    • Teaching and training jobs in the era of generative AI, CSFC Grand Est
    • Demystifying generative AI and its ecological impact
    • Immersive VR, AR and mixed reality in industry and AI research
    • Cybersecurity careers webinar, Grand Est orientation service

    Hosted by

    IcamUniversity of StrasbourgUniversity of Fribourg

Development projects

Through RA Development, I build tools that put AI in more hands, between France and the Arab world.

  • NabuX home page

    NabuX

    A learning game for understanding AI

    Islands of knowledge, missions and a guide in three languages. Teachers follow each learner's progress; learners discover what AI can and cannot do.

    Visit nabux.org

  • Faheem home page

    Faheem

    An AI assistant that answers from a business's own data

    Arabic-first customer conversations on WhatsApp, Instagram, Messenger and the web, grounded in the provider's catalogue and documents.

    Visit enkiz.org

  • RaDev Community home page

    RaDev Community

    A community for tech between France and MENA

    Members, a blog and a jobs board for people who learn, teach and hire in technology.

    Visit app.radevelopment.net

Articles

Writing on artificial intelligence, research, teaching and the people behind technology. Original articles from my archive, in English, French and Arabic.

  1. ResearchEnglish

    Exploring EyeTracking in Large-Scale Innovation Events: Insights from VivaTech 2025

    During my participation in Viva Technology 2025 in Paris, Europe’s biggest tech event, I decided to run a small personal experiment: How do we perceive, react, and mentally navigate such complex, information-rich…

  2. ResearchArabic

    الذكاء الاصطناعي، النظم المعقّدة والإدراك: نمذجة التفكير البشري عبر الذكاء متعدد الوسائط

    قدّم د. ربيع أمهز محاضرة في جامعة فريبورغ، سويسرا، ضمن سلسلة محاضرات رؤيوية عن التحول الرقمي وعلوم الأعصاب. بعنوان: الذكاء الاصطناعي، النظم المعقّدة والإدراك: نمذجة التفكير البشري عبر الذكاء متعدد الوسائط

  3. ResearchEnglish

    Visionary Lecture – After Attention, what will MIND complex system do Next?

    Artificial intelligence is evolving from a collection of powerful algorithms into a genuine partner for human cognition. During a recent visionary lecture, Dr. Rabih Amhaz explored this transition with a focus on…

Read all articlesSearch the writing

About

I am an associate professor and AI research lead at Icam Strasbourg-Europe and a member of the ICube laboratory at the University of Strasbourg.

My research is multimodal AI for human-machine interfaces and trustworthy AI, applied to images, video, text and graph data. I led Icam Strasbourg-Europe's digital department for two years, and since 2019 I have created two specialised master's programmes in Industry 4.0 and IoT.

Before that, from 2016 to 2019, I was part of the small founding team that built UFAZ, the French-Azerbaijani University in Baku, as a branch of the University of Strasbourg, and founded its computer science curriculum.

I also founded RA Development, where I build AI education and products, and I have worked as an educational engineer since 2016.

Open the CV
Rabih with his first computer science class at UFAZ in Baku
  1. 2015PhD in computer science, Centrale NantesAutomatic crack detection on pavement images by minimal path selection
  2. 2016 to 2019Founding team of UFAZ, BakuBuilt the computer science curriculum of the French-Azerbaijani University
  3. Since 2019Icam Strasbourg-EuropeTwo specialised master's created, now MS-ASPII; head of the digital department for two years
  4. TodayAssociate professor, AI research leadIcam and ICube, University of Strasbourg

In the media

  • Documentary on the NotPetya cyberattackAlaraby TV, Kontu Hunak
  • Can we trust AI?The Brain Factory podcast
  • AI in European refugee planning and decisionsInfoMigrants
  • Artificial intelligence: evolution or revolution?Icam Liaisons 209

Affiliations

IcamUniversity of StrasbourgICube laboratoryUFAZ, French-Azerbaijani UniversityCentrale Nantes

Let's talk about your project.

Research collaboration, a PhD or internship, a talk for your event, or AI for your organisation. Pick a slot that suits you.

Book a meeting

Or write to amhaz@unistra.fr