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  • Home
  • About MIDES
    • Objectives
    • Work packages
      • WP1 Electrodes Development
      • WP2 Membrane Development
      • WP3 Microbial Desalination Cell Design
      • WP4 Work package 4: Process integration and pre-pilot validation
      • WP5 Process Simulation & Analysis
      • WP6 Pilot plant design
      • WP7 Pilot plant operation
      • WP8 Dissemination & Exploitation
      • WP9 Coordination & Management
    • Consortium
    • Gallery
  • News & Events
  • Publications
  • Contact
  • Internal
    • Logout
Fatima Dargam
5 July 2016

Fatima Dargam (Ph.D., M.Sc., Eng., B.A.) (f.dargam@simtechnology.com)

Fatima holds a Ph.D. in Computer Sciences from Imperial College, London, UK; a Master degree (M.Sc.) in Artificial Intelligence from Instituto Militar de Engenharia (IME), Rio de Janeiro; an Engineering degree (Eng.) in Electronics from Santa Ursula University (USU); and a Bachelors degree (B.A.) in English from USU in Rio de Janeiro, Brazil.

She is an ICT professional, working for many years in Research and Development. Fatima joined SimTech in 1995, where she works on software development projects supporting computer-based simulation. Her additional professional activities include the coordination of the EURO Working Group of Decision Support Systems (EWG-DSS, since 2007); the cooperation with the Research Institute of Logic and Theory of Science (ILTC, since 1989); and the work as Evaluator and Reviewer of European Commission funded projects (since 2012) within FP7, COST and Horizon 2020 research programs.

Fatima Dargam is author and co-author of many publications related to decision support systems, knowledge management, decision making and analysis, knowledge representation, belief revision and updates, expert systems, social networks, big data, and data analytics for decision making. She is Associate Editor of the IJDSST International Journal of Decision Support Systems Technology and belongs to several ICT / DSS journals editorial boards.



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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 685793.

This document only reflects the author’s view and the European Commission is not responsible for any use that may be made of the information it contains.