Advanced Information Systems (SIA)   

Team leader: AOUACHE Mustapha


Team Overview

The SIA abbreviated as “Systèmes d’Information Avancés” is a research team affiliated with Division Telecom (DT). The team uses evidence from research to ensure its R & D quality improvement work in the following fields: Computer Vision (CV), Decision Support Systems (DSS) and Cloud Computing (CC). Through the work done in these areas, SIA knowledge and expertise has been affirmed over many years of activity, leading to several masterpieces and contributions.


The SIA team works to promote R & D activities and carry out research with high socio-economic impact in the following areas:
Computer Vision (CV): This research area covers several sub-domains including:

  • Image processing
  • Image search and multimedia
  • Object tracking, analysis and video analysis
  • Data mining and machine learning
  • Data indexing
  • Classification and clustering
  • Sensory information modeling
  • Recognition and retrieval
  • Medical image analysis and applications

Decision Support Systems (DSS): Collect data from many different sources, analyze this information and provide indicators to aid decision-making for control and organizations management. The three types of systems considered within the SIA team are as follows:

  • Transaction Processing System (TPS): Provides a means to collect, process, store, display, modify or cancel transactions. Collected data is typically stored in databases that can be used to generate reports such as billing, salaries, inventory summaries, manufacturing schedules, or control records.
  • Management Information Systems (MIS): It uses the data collected by the TPS to create reports (summary, exceptions, ad-hoc) used by managers to make decisions in response to problems.
  • Expert Systems (ES): is a computer system designed to analyze data and produce recommendations and controlled decisions.

Two main strategies can be involved in both CV and DSS including: Algorithms and Applications development.
Cloud Computing (CC): Provides access to inexpensive software, infrastructure, and platforms via very simple APIs. CC is a practice that allows the use of shared resources via a network of remote servers, which store and manage data on the Internet. Only one strategy is involved at the moment: Applications development.


  • Machine learning and pattern recognition
  • Machine vision and its Applications
  • Cloud computing applications
  • CAD and PACS applications
  • Decision support systems
  • Image retrieval in medical applications,
  • Data mining and data sciences,
  • Deep learning and IoT connected healthcare/smart cities.
  • Medical and healthcare robotics.

Topic of impact

The knowledge and expertise have led to several contributions in the three main areas mentioned above:

  • Contribution to the design, development, and implementation of applications and systems in computer vision.
  • Contribution to the development and implementation of decision support systems.
  • Contribution to the use of shared resources via a network of remote servers, which store and manage data on the internet.

Research projects

Socio-economic projects

Project 1: I-Bin, Intelligent Solution for Waste Collection and Management at Smart Cities
Project 2: SADIE, Decision Support System for Economic Investment
Project 3: PNC-TeleMed, Tele-medicine’s National Joint Portal
Project 4: SOCLE-SIHA, Basic Foundation of the National System of E-Health

Triennial Program Projects

Project 5: CAD-PACS, Develop Platform for Medical Imaging Computer-Aided Detection and Diagnosis within Archiving and Communication System for Algerian Hospitals



      • USTHB- University of Science and Technology Houari Boumediene.
      • UMBB-University of M¡¦hamed Bougara of Boumerdes.
      • USDB- University Saad Dahlab of Blida.
      • CHU Douira, Ben Aknoun, etc.
      • Ecole nationale supérieure d’informatique


      • UKM – National University of Malaysia.
      • HUKM – Hospital National University of Malaysia.
      • Laboratoire de recherche sur les technologies du commerce électronique.
      • Université du Québec à Montréal.

Ongoing PhD thesis

      • Mouzai Meriem, “Prediction of crystalline structures using data mining techniques by a neuronal approach”, Department of Computer Science, Faculty of Science, University of Saad Dahlab Blida 1, Algeria (2016 – ongoing).