Dr. Achraf Cohen

• Position: Associate Professor
• Department: Mathematics and Statistics
• Office Location: Building 4, Room 337B
• acohen@uwf.edu
• Campus: 850.474.2625
• Personal UWF Website
• Research website

Biography

Dr. Achraf Cohen is an Associate Professor of Statistics and Data Science in the Department of Mathematics and Statistics at the University of West Florida (UWF). Since joining UWF in 2016 as a Postdoctoral Teaching Associate, he has been actively engaged in teaching, research, and interdisciplinary collaboration. He has taught a wide range of undergraduate and graduate courses, including Nonparametric Statistics, Generalized Linear Models, Multivariate Analysis, Tools for Data Science, and Time Series Analysis, while contributing to collaborative research initiatives and externally funded grant projects across multiple disciplines. Dr. Cohen earned his Ph.D. in Statistics and Applied Mathematics from the University of Angers, France.

Dr. Cohen directs the Computational Statistics and Data Analytics (CSDA) Laboratory, where his research focuses on developing statistically rigorous and interpretable methods for artificial intelligence, machine learning, biostatistics, statistical learning, and translational health research. His work integrates modern statistical methodology with data science to address challenges in healthcare, biomedical research, wearable sensing, quality improvement, and intelligent monitoring systems. His current research interests include statistical learning, causal inference, statistical process monitoring, anomaly detection, wearable and digital health analytics, survey statistics, and trustworthy AI.

His research has been supported through collaborations with academic, clinical, and government partners, including the Mayo Clinic, Andrews Institute, the Air Force Research Laboratory (AFRL), and the National Institutes of Health (NIH). He has authored numerous peer-reviewed journal articles, conference papers, and book chapters spanning statistical methodology, quality engineering, machine learning, clinical research, and biomedical data science.

Beyond research, Dr. Cohen is dedicated to mentoring the next generation of data scientists and statisticians through undergraduate and graduate research. He leads interdisciplinary teams working at the intersection of statistics, artificial intelligence, and healthcare, with the goal of translating advanced analytical methods into practical, evidence-based solutions for real-world problems.

Degrees & Institutions

Ph.D. in Applied Mathematics-Statistics, University of Angers, France
M.S. in Telecommunication Engineering, ENSAT School Engineering, Morocco

Research

Statistical learning, trustworthy artificial intelligence, biostatistics, causal inference, statistical process monitoring, anomaly detection, wearable and digital health analytics, survey statistics, and translational health research.

Special Interests

He enjoys running, traveling as well as reading scientific (statistics) and personal development books.

Publications

A. Cohen, MA. Atoui. On wavelet-based statistical process monitoring Transactions of the Institute of Measurement and Control (IF=1.649).2020.

A. Cohen, R. Amin. The Effects of Normal Mixtures and Autocorrelation on the Fraction Non-Conforming Communications in Statistics - Simulation and Computation, In Press.

A. Cohen, T. Tiplica, A. Kobi. OWave control chart for monitoring the process mean. Control Engineering Practice, Vol. 54, pp. 223-230. 2016.

A. Cohen, T. Tiplica, A. Kobi. Design of experiments and statistical process control using wavelets analysis. Control Engineering Practice, Vol. 49, pp. 129-138. 2016.

Keywords: Statistical process monitoring, control chart, wavelets analysis, statistics of wavelets coefficients, data-driven process monitoring, forecasting