I’m Ikram Chraibi Kaadoud, an independant researcher in eXplainable AI (XAI), Trustworthy AI and Cognitive Science working in the field of Human-Centered XAI. This blog presents my research work. Any questions ? Reach out at "ikramchraibik[at]gmail.com" or "ikramchraibik[at]proton.me"
Lets work together: Consulting & Collaboration
Last update: 27/07/2026
I work with clients, universities and schools in France, across Europe, and internationally, on-site, hybrid or fully remote depending on the mission, in French 🇫🇷 & English 🇺🇸
My work sits mainly at the intersection of Explainable AI & Cognitive science research, teaching, science communication and applied consulting, with a growing focus on responsible and trustworthy AI (regulatory compliance, organizational change, AI governance and the transformation of human expertise). I contribute through training, strategic guidance, collaborative research and scientific expertise depending on the context and needs.
Expertise
At the intersection of
Research
Education
Consulting
Science communication
Collaboration
YOU
Who I work with
Research laboratories
Universities & engineering schools
Public institutions
Innovation hubs
SMEs & industrial organizations
Non-profit & professional associations
Areas of collaboration
Science Communication, Training & Keynotes
326+hours of training delivered
6teaching institutions
1editorial board membership (Le Blog Binaire, Le Monde)
Internationalinvited keynote speaker
I train engineers, physicians, master’s students, executives, and industry professionals across six institutions. I also contribute to science communication initiatives and regularly translate research into accessible formats for technical and non-technical audiences.
Explainable AI & Interpretability Consulting
7+years of XAI experience
25+publications
3A-ranked journals (Neural Networks, IF 9.6 / Knowledge-Based Systems, IF 8 / Scientific Reports 2023 – Nature, IF 4.997 / Frontiers in Psychiatry, IF 3.822 )
I design and implement XAI methods for complex, real-world systems using heterogeneous time series. Through the LEARN-IA project (FEDER-funded, with industrial partners), I built interpretability approaches for heterogeneous time series combining sensor data and unstructured reports, published in two A-ranked journals.
AI Strategy & Governance Audit
13institutionnal & private partners coordinated
200+organizations supported
1trustworthy AI charter (8 recommendations)
AI Actexpertise (technical and legal implications)
As project lead for a European Digital Innovation Hub hosted at INRIA, I coordinated a 13-partner consortium and supported 200+ manufacturing companies and public organizations across their AI transformation, from maturity diagnosis to a field-tested governance charter aligned with the AI Act.
PhD & Intern Supervision
3PhDs co-supervised
15+interns & final-year projects (France, Thailand, Morocco, USA)
5publications from supervised work (HCII 2023, RJCIA 2024, PFIA 2024 & 2025, IATNPRI 2026)
1R&D division built from scratch (consulting company, 2018-2020)
I built the R&D division of an IT consulting firm from the ground up, recruiting researchers and co-supervising three industry PhDs. I continue supervising interns and research projects internationally, while coaching working professionals seeking to develop a scientific career. Several collaborations led to peer-reviewed publications with the students themselves as co-authors.
Don’t see your specific need above? Something else in mind? Let’s talk, there is always a solution