Research

~In God we trust; all others bring data (W. E. Deming)~

Call For Papers:

Guest Editor of the Special Issue “Advances in Statistical Process Monitoring Using Wavelet Analysis: Theory and Practical Applications”

Research interests:

  • Statistical Process Monitoring: multivariate and univariate control charts
  • Applied Statistics: Modeling, Inferences, Predictive/ML
  • Wavelet Analysis: Feature Engineering.
  • Data Science Education: Curriculum development, AI impacts on education

CSDA research team:

CSDA (Computational Statistics and Data Analytics) is a student-centered research group in the Department of Mathematics and Statistics, the Hal Marcus College of Science and Engineering at the University of West Florida, working on research projects in data science, statistical process monitoring, computational neuroscience, probability distributions, applied machine learning and AI.

Projects

Peer-Reviewed Publications

Statistical Process Monitoring

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

  2. A. Mishra, A. Cohen, T. Reichherzer, W. Norman. Detection of Data Anomalies at the Edge of Pervasive IoI Systems. Computing (IF=2.044) Springer-Nature.2021.

  3. MA. Atoui, A. Cohen.Coupling data-driven and model-based methods to improve fault diagnosis. Computers in Industry (IF=3.954).2021.

  4. A. Atoui, A. Cohen, V. Cocquempot. Unlocked decision making based on causal connections strength. European Journal of Control (IF=2.395)2021.

  5. M. A., Atoui, A. Cohen, S. Verron, A. Kobi. A single Bayesian network classifier for monitoring with unknown classes. Engineering Applications of Artificial Intelligence (IF=4.201).Vol.85, pp. 681-690.2019.

  6. A. Cohen, R. Amin.The Effects of Normal Mixtures and Autocorrelation on the Fraction Non-Conforming.Communications in Statistics - Simulation and Computation (IF=0.651).1-13.2017.

  7. A. Cohen, T. Tiplica, A. Kobi.OWave control chart for monitoring the process mean.Control Engineering Practice (IF=3.193).Vol.54, pp. 223-230.2016.

  8. A. Cohen, T. Tiplica, A. Kobi. Design of experiments and statistical process control using wavelets analysis. Control Engineering Practice(IF=3.193).Vol.49, pp. 129-138.2016

  9. A. Cohen. Detection et diagnostic des fautes dans des systemes complexes par approches multi-echelle / Fault Detection and Diagnosis in Complex Systems by Multi-Scale Approaches. Ph.D. Dissertation.University of Angers.2015.

Statistical Modeling/ML/Data Science

  1. Cohen, Achraf, and Yazan A. Alqudah. 2023.On the Application of Generalized Linear Mixed Models for Predicting Path Loss in LTE Networks.” EURASIP Journal on Advances in Signal Processing 2023 (1). https://doi.org/10.1186/s13634-022-00957-1.

  2. Buker, Hasan, Achraf Cohen, and Ayhan Erbay. 2022.”An Exploration of the Subtypes of Male Youth Adjudicated for Sex Offenses: A Latent Class Analysis Based on Personal, Offense, and Victim Characteristics.” Crime and Delinquency, November, 001112872211373. https://doi.org/10.1177/00111287221137306.

  3. A. Cohen, I. Alhuraish, C. Robledo, A. Kobi. A statistical analysis of critical quality tools and companies’ performance. Journal of Cleaner Production (IF=7.246). Vol.255, pp. 2020.

  4. S. New, H. Nano, A. Cohen, B. Ramachandran.Load Forecasting using Multiple Linear Regression with the Indian Calendar. Distributed Energy Resources in Microgrids. Springer.

  5. A. Cohen, C. Messaoudi , H.Badir. A New Wavelet-Based Approach for Mass Spectrometry Data Classification. In: Zhao Y., Chen DG. (eds) New Frontiers of Biostatistics and Bioinformatics . ICSA Book Series in Statistics. Springer, Cham. December 2018.

  6. A. Ezzine, Y.Y. Alaoui, A. Cohen. Adaptive Multiscale Stereo Images Matching Based on Wavelet Transform Modulus Maxima. International Journal of Image Processing Vol.6(5), pp. 373-379. 2012

Sports Medicine

  1. Branch, Eric A., Joshua J. Cook, Achraf Cohen, Hillary Plummer, Alireza Emami, Jessica Truett, and Adam W. Anz. 2023.”Platelet Rich Plasma Is Similar to Platelet Rich Plasma Plus Hyaluronic Acid for the Treatment of Knee Osteoarthritis at 2 Years: A Randomized Controlled Trial.” Journal of Cartilage and Joint Preservation, March, 100129. https://doi.org/10.1016/j.jcjp.2023.100129.

  2. Goodrich E, Cox B, Plummer HA, Cohen A, Andrews JR, Saper M. Adolescent Baseball Pitchers With Ulnar Collateral Ligament Tears Exhibit a High Proportion of Partial Tears. The American Journal of Sports Medicine (IF=6.203).May 2022. doi:10.1177/03635465221094326.

  3. Anz AW, Plummer HA, A. Cohen, Everts PA, Andrews JR, Hackel JG. Bone Marrow Aspirate Concentrate Is Equivalent to Platelet-Rich Plasma for the Treatment of Knee Osteoarthritis at 2 Years: A Prospective Randomized Trial. The American Journal of Sports Medicine (IF=6.203)2022;50(3):618-629.doi:10.1177/03635465211072554

Conferences and Talks

  1. Nitul Singha (April, 2023), poster presentation. Predicting the Day of Year of Cherry Blossom Peak. University of Miami Conference of Florida Graduate Schools 2023. Lakeside Village, FL. Faculty mentor: Dr. Achraf Cohen

  2. Raine Brooks (April, 2023), poster presentation. Vetran Disability Compensation Recipients: A Poisson Regression Application. University of West Florida Student Scholars Symposium. Pensacola, FL. Faculty mentor: Dr. Achraf Cohen

  3. S. New, H. Nano, B. Ramachandran, A. Cohen. Load Forecasting using Multiple Linear Regression with the Indian Calendar. Poster - 2019 UWF Student Scholars Symposium.2019.

  4. A. Atoui, A. Cohen, V. Cocquempot. Unlocked decision making based on causal connections strength. 2021 European Control Conference (ECC-IEEE) Paper 2021.

  5. A. Atoui, A. Cohen. Fault diagnosis using PCA-Bayesian Network classifier with unknown faults. 2020 European Control Conference (ECC-IEEE) Paper 2020.

  6. A. Cohen. A Methodology to Classify High-dimensional Data: Application to Mass Spectromery Data. The ASA - JSM, Denver, CO. Poster 2019.

  7. A. Atoui, A. Cohen, R. Pauffet, P. Berruet. Fault Diagnosis by Bayesian Network Classifiers with a Distance Rejection Criterion. ICINCO 2019 conference (IEEE-IFAC). Prague, June 2019.

  8. S. New, H. Nano, B. Ramachandran, A. Cohen. Load Forecasting using Multiple Linear Regression with the Indian Calendar. Poster - 2019 UWF Student Scholars Symposium.2019.

  9. A. Cohen. Wavelet-Based Methods for Data-Driven Monitoring. The 2018 American Statistical Association Conference on Statistical Practice, Portland, Oregon. Poster 2018.

  10. T. Stevens, B. Ramachandran, A. Cohen. Economic Operation of Microgrid Energy Resources Considering Uncertainties. IEEE SoutheastCon. April 2018.

  11. A. Cohen, T. Tiplica, A. Kobi. Weighted Wavelets Coefficients for Monitoring Process Mean. International Conference on Advances in Control and Optimization Of Dynamical Systems, Tiruchirappalli, India / IFAC-PapersOnline, Vol. 49-1, pp. 819-823.

  12. A. Cohen, T. Tiplica, A. Kobi. Statistical process control for AR(1) or non-Gaussian processes using wavelets coefficients. Conference: 12th European Workshop on Advanced Control and Diagnosis, at Pilsen, Czech Republic. Volume: Journal of Physics: Conference Series 659.2015

  13. T.Tiplica, A. Cohen, A. Ezzine. Road signs detection in color images by statistical approach. Conference Proceeding, QUALITA2013, Compiegne, France. Vol. 49, pp. 129-138. 2013