Automation and Systems

Explore the programs and courses offered by Automation and Systems

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Program Overview

The Doctoral Program in Automatic Control and Industrial Informatics at the University of Ghardaïa is a flagship regional third-cycle offering under Algeria’s LMD (Licence–Master–Doctorate) framework. Launched for the 2024–2025 academic year, it is hosted by the Faculty of Science and Technology, Department of Automatics and Electromechanics. As a “point focal” for automatic control research, it draws on partnerships with UMMTO, U. Béjaïa, USTHB, and ENP, and is anchored in the C0360700 research laboratory, which specializes in advanced control systems and energy technologies .

The program’s mission is twofold:

  1. Research Excellence – to train doctoral candidates in cutting-edge methodologies (deep learning, hybrid modeling, intelligent control) and equip them to design robust, real-time automation solutions for energy, robotics, and industrial processes.
  2. Strategic Impact – to align doctoral theses with national priorities such as renewable energy integration, smart grid optimization, and industry 4.0 innovations, thereby fostering technology transfer and supporting Algeria’s energy transition goals.


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Curriculum Highlights

Core Courses

Beyond the reinforcement module, the program’s core technical courses (2 ECTS each) provide in-depth training:

  1. Advanced System Modeling – nonlinear, stochastic, and hybrid system frameworks; tool-based simulations.
  2. Optimal and Robust Control – H∞, μ-synthesis, model predictive control, and real-time implementation strategies.
  3. Intelligent System Identification – data-driven methods for system discovery, parameter estimation, and anomaly detection.
  4. Deep Learning for Control – end-to-end neural control policies, safety-critical network architectures, and transfer learning.
  5. Seminar Series – biweekly research presentations by faculty, industry experts, and visiting scholars in automation, energy, and AI.

These courses are delivered by the program’s steering committee—Prof. Ferkous Khaled, Dr. Hacen Nacer, Dr. Bekkar Belgacem, Prof. Bellaouar Abderrahmane, and Prof. Kina Abdelkrim—ensuring both theoretical depth and hands-on expertise

Advanced Topics

Doctoral research topics are organized into thematic axes reflecting national and industrial needs. Examples include:

  • Energy Forecasting & Smart Grids:
  • Energy Consumption Forecasting of Buildings using Deep Learning in Various Climatic Contexts (
  • Solar Photovoltaic Energy Production Forecasting via Hybrid Deep Learning
  • Intelligent Control Systems:
  • Contribution to the Intelligent Control of a Fuel Cell System
  • Battery Degradation Prediction Using Artificial Intelligence
  • AI-Enhanced Automation:
  • AI-Enhanced Optimization and Control of Dynamic Wireless Power Transfer Systems (Bekkar Belgacem)
  • AI-Driven Drones for Maintenance and Cleaning of Solar Panel Fields

Each topic is supported by access to the C0360700 lab’s robotics arena, energy testbeds, and high-performance computing clusters, enabling interdisciplinary experiments in real-world settings

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Admissions Information

Eligibility: Master’s degree in Automatics, Electromechanics, Industrial Informatics, or a closely related engineering discipline.

Selection Criteria:

  • Academic excellence (GPA, relevant coursework).
  • Quality of research proposal, demonstrating alignment with program axes (e.g., energy forecasting, intelligent control).
  • Interview evaluating research aptitude and motivation.

Process: Successful applicants participate in the national doctoral entrance competition, with placements coordinated across Algerian universities

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