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Dr. Marcelo Errecalde

Professor and researcher

Education

PhD in Computer Science.

Universidad Nacional del Sur
2000 - 2004

BSc in Computer Science.

Universidad Nacional de San Luis
1995

Career Profile

Professor and Researcher at the National University of San Luis (UNSL) and the National University of Southern Patagonia (UNPA), Argentina. He is the professor in charge of postgraduate courses at the University of Buenos Aires (UBA), the National University of La Plata (UNLP), UNSL, UNPA, the Inter-American Open University (UAI), and the University of Azuay (Ecuador) on topics related to Artificial Intelligence (AI), Multi-Agent Systems (MAS), Machine Learning (ML), Text and Web Mining, and Natural Language Processing (NLP). With 30 years of experience as a researcher in AI areas such as ML, MAS, and NLP, he has actively participated with leading AI groups in Spain, Mexico, Germany, Austria, and Greece. He is the Director of the Laboratory for Research and Development in Computational Intelligence (LIDIC) and the Institute of Computational, Cognitive, Psychological, and Social Sciences (ICOPS) at UNSL. Currently, his research focuses on the early detection of at-risk individuals (depression, addictions, etc.) online. This research has resulted in some of the state-of-the-art systems for the early detection of depression, anorexia, and gambling addiction on the web. He has led several projects funded by the Sadosky Foundation in collaboration with companies and government agencies, involving the use of AI and NLP techniques in industry and government administrative processes.

Teaching

  • Tenured Full-time Associate Professor (UNSL, 2015 Present)
  • Tenured Part-time Assistant Professor (UNPA-UACO, 2010 Present)

Responsible for teaching the following undergraduate courses: Artificial Intelligence, Intelligent Systems, Foundations of Artificial Intelligence, Agents and Multi-agent Systems, Machine Learning, Data Mining

Postgraduate Courses: I have taught 36 postgraduate courses on the following topics: Machine Learning and Data Mining (UNSL and UNPA), Agents and Multi-agent Systems (UNPA, UNLP, UNSL), Advanced Topics in Text and Web Mining (UBA), Data Mining (UNSL), Text Mining

(UNSL, UNPA, UNLP), Models and Architectures for Artificial Intelligent Agents (UNSL), Information Systems in Agriculture (UNSL), Data Analysis in Social Networks (University of the Azuay, Ecuador), Natural Language Processing (Universidad Abierta Interamericana, UAI)

Research

Since April 1987, I have participated uninterruptedly as a member of 25 research projects, serving as Director for 4 of these projects and Co-director for 2.

  • Director: Laboratorio de Investigación y Desarrollo en Inteligencia Computacional (LIDIC), Faculty of Physical, Mathematical and Natural Sciences, Universidad Nacional de San Luis.
  • Creator and Director: Instituto de Ciencias Computacionales, Cognitivas, Psicológicas y Sociales (ICOPS), Universidad Nacional de San Luis.

Research Interests: Artificial Intelligence, Intelligent Systems, Multi-agent Systems, Machine Learning, Text Mining, Natural Language Processing and Robotics

Publications

Publications: Author of 113 scientific conference articles, 17 book chapters, and 43 journal articles. His work has been published in leading journals in the field of intelligent systems, including: Artificial Intelligence, Expert Systems with Applications, ACM Transactions on Interactive Intelligent Systems, Information Processing & Management, Biomedical Signal Processing and Control and Natural Language Engineering

  • Parallel architectures for large-scale document processing - Integrating OCR and RAG pipelines.
    • Alejandro Jaime, Veronica Gil-Costa, Marcelo Errecalde, Leticia Cagnina.
    Journal of Parallel and Distributed Computing, Volume 218, 2026, ISSN 0743-7315.
  • A text classification framework for simple and effective early depression detection over social media streams
    • S. G. Burdisso, M. Errecalde, M. Montes-y-Gómez.
    Expert Systems with Applications, Volume 133, 2019, Pages 182-197, Elsevier.
  • An efficient Particle Swarm Optimization approach to cluster short texts
    • Leticia Cagnina, Marcelo Errecalde, Diego Ingaramo and Paolo Rosso.
    Information Sciences, 265 36 - 49, Elsevier. May 2014.
  • Measuring the Quality of Web Content using Factual Information
    • Elisabeth Lex, Michael Voelske, Marcelo Errecalde, Edgardo Ferretti, Leticia Cagnina, Christopher Horn, Michael Granitzer, Benno Stein.
    Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality, 2012, ISBN = 978-1-4503-1237-0, Lyon, France, pp. 7-10, ACM, New York, NY,USA.
  • An approach to decision making based on dynamic argumentation systems.
    • Edgardo Ferretti, Luciano H. Tamargo, Alejandro J. García, Marcelo L. Errecalde, Guillermo R. Simari.
    Artificial Intelligence, Volume 242,2017, Pages 107-131, ISSN 0004-3702.
    More publications are available here >>

    Technological services, and Technical assistance

    • Lead Researcher for a project funded by the Sadosky Foundation for phase zero of R+D+i projects in ICT topics (2020).
    • Lead of the research group for a project selected under the 2023 “Innovative Solutions for Software Challenges” call by the Sadosky Foundation.
    • Member of the Principal Group for the High-Performance Computing Project (PCI) selected by the National System of Scientific-Technological Research Infrastructures (SNIICT) in the Accelerated Calculation Projects Initiative (IPAC) – CLEMENTINA XXI (2025).

    Theses Supervised

    • Undergraduate Theses: 30 completed Final Projects (Licentiate or Engineering).
    • Specialization Projects: 3 Final Projects (1 completed, 2 in progress).
    • Master’s Theses: 10 theses (9 completed, 1 in progress).
    • PhD Dissertations: 11 theses (6 completed, 5 in progress).

    Academic Managment

    • Director of the Bachelor’s Degree in Computer Science (UNSL).
    • Co-Director of the PhD in Computer Science (UNSL).
    • Vice-director of the Specialization in Management and Technological Linking (UNSL).