APRIL 8-9, 2026 • CASABLANCA

First International Conference on
Statistical Modeling & AI

Organized by LP2MGI Laboratory & EST Casablanca.
A scientific platform for data analysis, optimization, and industrial engineering.

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Context

Statistical modeling is a fundamental tool in modern scientific research. Given the exponential growth of data in all fields (industry, health, logistics, energy), it is essential to develop robust quantitative methods to:

  • Understand and model complex phenomena.
  • Build reliable and validated predictive models.
  • Quantify uncertainty and optimize systems.
  • Integrate artificial intelligence to explore non-linear relationships.

Objectives

  • 1 Highlight advanced research in statistical modeling applied to scientific and industrial fields.
  • 2 Present innovative methods for complex data analysis, prediction, and statistical inference.
  • 3 Explore interactions between statistics and AI, particularly for model validation.

Topics

The conference covers a wide range of fields related to statistical modeling, data analysis, and AI applied to industrial systems.

Statistical Analysis

Predictive modeling and advanced statistical inference.

Data Science

Data science applied to industrial and scientific systems.

Quality & Reliability

Quality control, system reliability, and maintenance.

Optimization

Decision modeling and operations research.

Important Dates

February 08, 2026

Abstract submission deadline

March 08, 2026

Notification of acceptance

March 10, 2026

Final paper version

April 08 & 09, 2026

IC-SMAI 2026 Conference

Registration Fees

PhD Students

With valid enrollment proof
600 Dhs

Professors-Researchers

University & Academic
1000 Dhs

Professionals

Industry & Corporate
2000 Dhs

Program

Day 1 - April 08

  • 09h30 Official Opening & Welcome Speech
  • 09h45 Plenary Lecture 1: Statistical Modeling & AI (Dr. M. Hadini)
  • 11h30 Oral Presentation Sessions
  • 14h00 Plenary Lecture 2: Qualitative Research & AI (Dr. M. Bensbih)
  • 16h30 Poster Sessions

Day 2 - April 09

  • 09h00 Training Sessions for PhD Students
  • Statistical modeling for PhD students: regression, multivariate analysis, predictive models, statistical validation, practical case studies.
  • 12h30 Closing of training sessions

Organizing Committee

General Chair

Prof. Mohamed BEN ALI

ESTC, UH2C

Partners

LP2MGI ESTC UH2C INPT ENSA FST