Purpose:
We, the organizing committee, are composed of researchers and professors of mathematics at the Faculty of Science, Ben M’Sik, Hassan II University of Casablanca, Morocco. Our research focuses on fixed-point theory, stochastic analysis, game theory, and stochastic modeling, with particular emphasis on integrating deep learning techniques into stochastic processes and probabilistic frameworks. Our main objective in organizing this workshop, Deep Learning-Enhanced Stochastic Modeling for Complex Systems (DL-SMSC 2026), is to bring together researchers, academics, and professionals from related disciplines to exchange ideas, share insights, and foster collaboration in this rapidly evolving field.
In organizing this workshop, we seek to accomplish the following goals:
Review and discuss original research papers addressing both theoretical and practical aspects of stochastic modeling enhanced by deep learning.
Create a scientific dialogue among experts in artificial intelligence, applied mathematics, and stochastic processes.
Highlight new methodologies and recent results, promoting innovative research directions at the intersection of stochastic analysis, machine learning, and complex systems modeling.
We envision this workshop as a forum for collaborative advancement, encouraging interdisciplinary discussions that bridge theory and application in modern stochastic modeling.
Workshop Chairs:
Ouldkhouia Noureddine, University Hassan II of Casablanca, Faculty of science Ben Msik, Morocco, ouldkhouia220@gmail.com
Benhachem Anas, University Hassan II of Casablanca, Faculty of science Ben Msik, Morocco, anasbenhachem20@gmail.com
Elberrai Imane,University Hassan II of Casablanca, Faculty of science Ben Msik, Morocco, im.elberrai@gmail.com
Bassou Abdelhafid,University Hassan II of Casablanca, Faculty of science Ben Msik, Morocco, hbassou@gmail.com