Cognitive Engineering and Databases

The Cognitive Engineering and Databases Research Group has been conducting research, development, and innovation activities since 2014 to advance the development of intelligent socio-technical systems. The primary focus is on formal models based on computational logic, hybrid developments with Neuro-Symbolic Artificial Intelligence, and tools to support the cognitive processes of users of modern information systems.

The main topics in which activities are carried out include:

  • Reasoning under uncertainty
  • Cybersecurity
  • inconsistency handling
  • Reasoning with preferences
  • Ontology languages for the Semantic Web
  • Belief revision
  • Information Integration
  • Neuro-Symbolic Artificial Intelligence (hybrid systems combining machine learning with logic-based models)

The analysis of computational tractability (both theoretical and practical) plays a significant role in the R+D+I efforts across all these topics.

Team

Head: Gerardo I. Simari

Researchers

  • Maximiliano Budán – UNSE (CONICET),
  • Cristhian A. Deagustini – UNER (CONICET),
  • Melisa Escañuela Gonzalez – UNSE (CONICET),
  • Marcelo A. Falappa – ICIC (UNS-CONICET),
  • M. Vanina Martinez – IIIA (CSIC),
  • Cristian Pacífico – UNER,
  • Federico Rosenzvaig – UNSE,
  • Guillermo R. Simari – ICIC (UNS-CONICET),
  • Juan Carlos L. Teze – UNER (CONICET).

Postdoctoral Fellows

  • Paola Budán – ICIC (UNS-CONICET),
  • Mario Leiva – ICIC (UNS-CONICET).

Doctoral Fellows

  • Irene M. Coronel – ICIC (UNS-CONICET),
  • Antonella C. García – FCA (UNER),
  • Carlos H. Habiñak – ICIC (UNS-CONICET),
  • Stephanie Malvicini – IIIA (CSIC),
  • Yamil O. O. Soto – ICIC (UNS-CONICET).

Former Members

Useful Links

  • Certificate in Intelligent Cybersecurity (UNS) 🌐 🌐
  • UNS Data Science Program🌐
  • Collaboration in Neuro-Symbolic Artificial Intelligence with Arizona State University🌐 🌐

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