About

Addi Ait-Mlouk

Dr. Addi Ait-Mlouk is an Associate Professor (Docent) of Artificial Intelligence and Data Science at the School of Informatics, University of Skövde, Sweden. He served as Director of the Data Science Master's Programme (2023–2024).

Before Skövde he was a Postdoctoral Researcher at Uppsala University (2020–2022), working on scalable federated learning in the Division of Scientific Computing, and before that at Umeå University (2018–2020) on a WASP project on privacy-aware data federation for heterogeneous registry data.

His expertise covers federated learning, machine learning, data mining, information retrieval, conversational AI, open linked data, knowledge graphs and natural language processing. He has led and contributed to national and EU-funded projects, and published in venues including TheWebConf, ECIR and CCGrid. He holds a Master's in Information Systems Engineering (2013) and a PhD in Data Mining (2018) from Cadi Ayyad University, Marrakech.

Outside academia he works as a consultant and trainer in CRM, ERP, data science and AI. Born in Imi N'Ouakka, Morocco, he is always open to new collaborations in academia and industry.

Languages: English, French, Arabic and Tamazight; currently learning Swedish and Spanish.

Career

Experience and education

Full CV

Experience

2022 – now

Associate Professor (Docent)

University of Skövde, School of Informatics

Artificial Intelligence and Data Science, Skövde Artificial Intelligence Lab (SAIL). Director of the Data Science Master's Programme 2023–2024.

2020 – 2022

Postdoctoral Researcher

Uppsala University, Department of Information Technology

Scalable federated machine learning, Computational Science and Engineering group, Division of Scientific Computing.

2018 – 2020

Postdoctoral Researcher

Umeå University, Computer Science

Privacy-aware federated database infrastructure for heterogeneous micro-data, Deep Data Mining Group (WASP).

2017 – 2018

Assistant Professor

Private University of Marrakech, Computer Science

Teaching and research in data science and machine learning.

2014 – 2017

Teaching Assistant

Cadi Ayyad University, Faculty of Science Semlalia

Labs and examination in C/C++ programming and Advanced Excel.

2013 – 2017

ERP (Odoo) Consultant

Sublimaroc, Casablanca, Morocco

Odoo ERP consulting and development.

Education

2014 – 2018

Ph.D. in Data Mining

Cadi Ayyad University, Marrakech

Thesis: Data mining and association rules quality analysis in big data, with an application to road safety. Thesis (PDF) · HAL

2011 – 2013

Master of Information Systems Engineering

Cadi Ayyad University, Marrakech

Data management, software engineering and enterprise systems.

2008 – 2011

B.Sc. in Software Engineering

Moulay Ismail University, Errachidia

Programming, algorithms and software development.

2006 – 2008

Baccalauréat in Physical Sciences (PC)

Lycée Mohammed VI, Alnif, Morocco

Secondary school diploma, physical sciences track.

2003 – 2006

Middle school

Collège Moussa Ibn Noussair, Nkob, Morocco

Lower secondary education (collège).

1997 – 2003

Primary school

Groupe Scolaire Safsaf, Imi N'Ouakka, Morocco

Primary education, 1st to 6th year.

Milestones

Awards and milestones

2025

EU project funded

ProcTwin (2025–2028), €4.83M total budget, Clean Steel Partnership.

2024

Promoted to Docent

Associate Professor (Docent), University of Skövde.

2023–2024

Programme Director

Director of the Master's Programme in Data Science, University of Skövde.

Consulting

Consulting and training

Work with companies and organisations outside the university.

Get in touch

AI and ML consulting

Designing and integrating AI and machine learning solutions for a business's operations.

Federated learning

Privacy-preserving, collaborative AI for sensitive and distributed data.

Data science and analytics

Analytics, predictive modelling and decision support systems.

ERP and AI

Building and customising ERP systems with AI capabilities.

Training

Hands-on courses in AI, data science, federated learning and ERP for teams and organisations.

Responsible AI

Advice on data privacy, decentralized AI, AI ethics and generative AI.

Personal

Beyond research

What I do when I'm not teaching, supervising or writing papers.

Building apps

I build iOS, Android and web apps as side projects, from family organisers to design tools.

Languages

I speak Tamazight, Arabic, French and English, and I'm learning Swedish and Spanish.

Sport

Regular sport keeps me balanced alongside research and teaching.

Hiking

Getting out on the trails and into nature whenever I can.

Motorcycling

Exploring roads on two wheels.

Travel

Discovering new places and cultures, at conferences and beyond.

open↑↓ move