Current Teaching Activities

ISEN Yncréa Ouest, Caen, France

Since 2023 — Engineering programmes, initial and apprenticeship tracks

Annual teaching and supervision workload: approximately 250 equivalent tutorial hours per year.

Main teaching areas

• Artificial Intelligence and Machine Learning

• Explainable Artificial Intelligence

• Neural Networks and Deep Learning

• Big Data and Data Mining

• Python Programming

• Data Analysis with R

• Computer Vision and OpenCV

• Biomedical and Medical Imaging

• Statistical Learning and Regression

• Applied AI and Biomedical Engineering Projects

Modules developed or redesigned

• Big Data for third-year engineering students

• Computer Vision and OpenCV

• Data Mining for graduate engineering students

• Advanced Machine Learning

• Artificial Intelligence and biomedical application projects

• Project-based teaching for second-, third- and fifth-year engineering students

Academic supervision

• Regular supervision of at least six final-year apprenticeship students per year

• Supervision of first- and second-year master-level internships

• Approximately two tutored projects per year in artificial intelligence and biomedical engineering

• Coordination of student projects involving healthcare, imaging, data science and machine learning

I also serve as Academic Coordinator of the Medical Technologies and Healthcare specialisation, contributing to curriculum development, teaching coordination, professional partnerships and student supervision.

Previous Teaching Experience 

University of Tlemcen, Algeria

2012–2022 — Bachelor’s, Master’s and Doctoral programmes in Biomedical Engineering

Annual teaching workload: approximately 300–350 hours per year, including lectures, tutorials and laboratory sessions.

Main courses taught

Course - Level- Annual workload

• Knowledge Discovery from Medical Data - Master 1 - 63 hours

• Biological Data Prediction - Master 2 - 21 hours

• Data Mining with R - Master 1 - 54 hours

• Algorithms and Programming - Bachelor 1 - 42 hours

• C++ Programming - Bachelor 1 - 54 hours

• Probability and Statistics - Bachelor 2 - 42 hours

• Communication and Academic Skills - Bachelor 2 - 18 hours

Other teaching topics included:

• Bioinformatics

• Medical Statistics

• Machine Learning

• Medical Image Processing

• Classification Techniques

• Knowledge Discovery in Databases

• Numerical Analysis

• MATLAB Programming

Teaching Materials

I developed or co-developed several teaching resources and practical course materials, including:

• Knowledge Discovery from Medical Data — Master 1

• Biological Data Prediction — Master 2

• Data Mining with R — Master 1

• Interactive exercises and practical material delivered through Moodle

Key Teaching Indicators

• More than 15 years of teaching experience

• More than 3,500 cumulative teaching hours

• Approximately 250 equivalent tutorial hours per year at ISEN Yncréa Ouest

• Approximately 300–350 teaching hours per year at the University of Tlemcen

• More than 20 Master’s final-year projects supervised or co-supervised

• Development or major redesign of several specialised modules in artificial intelligence and biomedical data science