PeopleofSuperintelligence

Researcher

Serafín Moral Callejón

Also known as Serafin Moral

Serafín Moral Callejón is a University of Granada researcher whose work applies probabilistic methods to artificial intelligence. His 1985 thesis explored fuzzy information and relations between probability and possibility, and the university appointed him as a professor in Computer Science and Artificial Intelligence in 1988. Papers from 1993 to 2019 covered uncertainty propagation, imprecise-probability inference, Bayes classification and concept drift. As of October 2026, he is a full professor in Granada's Department of Computer Science and Artificial Intelligence, with current work on Bayesian networks for explainable AI.

Works
216
Citations
4,887
h-index
37
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1985

    A thesis on fuzzy information

    At the University of Granada, he studies fuzzy information and probability in a 1985 thesis titled Información difusa, relaciones entre probabilidad y posibilidad.

  2. 1988

    Professor in Granada's AI area

    In 1988, the University of Granada appoints him as a professor in its area of Computer Science and Artificial Intelligence.

  3. 1993

    Uncertainty in directed networks

    He coauthors a 1993 paper with Miguel Delgado and Jose E. Cano on an axiomatic framework for propagating uncertainty in directed acyclic networks.

  4. 2002

    Probability trees for imprecise inference

    In 2002, he and Andrés Cano-Utrera publish Using Probability Trees to Compute Marginals with Imprecise Probabilities in the International Journal of Approximate Reasoning.

  5. 2011

    A memory efficient Bayes classifier

    In 2011, he coauthors A Memory Efficient Semi-Naive Bayes Classifier with Grouping of Cases with Joaquín Abellán-Mulero, Andrés Cano and Andrés Ramón Masegosa.

  6. 2019

    Bayesian model of abrupt drift

    In 2019, he coauthors A Bayesian Approach to Abrupt Concept Drift with Andrés Cano and Manuel Gómez-Olmedo.

  7. 2023

    Hierarchical interval probabilities

    With Andrés Cano and Manuel Gómez-Olmedo, he coauthors a 2023 paper on imprecise probabilistic models based on hierarchical intervals.

  8. As of October 2026

    Professor and explainable AI work

    As of October 2026, he is a full professor in the University of Granada's Department of Computer Science and Artificial Intelligence. His current work includes a project on Bayesian networks for explainable AI, modeling, inference and applications in authorship and recommendation.

Career

  1. Since 1988Universidad de GranadaProfessor

Education

  1. 1985Universidad de Granada

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. PROBABILITY INTERVALS: A TOOL FOR UNCERTAIN REASONING1994 · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 313 citations
  2. Handbook of Defeasible Reasoning and Uncertainty Management Systems2000 · Springer eBooks · 236 citations
  3. Mixtures of Truncated Exponentials in Hybrid Bayesian Networks2001 · Lecture notes in computer science · 210 citations
  4. A survey of concepts of independence for imprecise probabilities2000 · Risk Decision and Policy · 166 citations
  5. Fusion: General concepts and characteristics2001 · International Journal of Intelligent Systems · 162 citationsWith Alessandro Saffiotti, Didier Dubois, Henri Prade, Hélène Fargier, Isabelle Bloch and Jérôme Lang

From OpenAlex, as of 21 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Universidad de Granada. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Universidad de Granada. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Google has the highest combined h-index among AI organizationsIncludes Universidad de Granada. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  4. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Serafín Moral Callejón yet. Send us a free-licensed photo.

  1. SERAFÍN MORAL CALLEJÓN - Universidad de Granada produccioncientifica.ugr.es. Checked 20 October 2026.
  2. RESOLUCION de 17 de octubre de 1988, de la Universidad de Granada, por la que se nombra a don Serafín Moral Callejón profesor titular de esta Universidad, adscrito al área de conocimiento de Ciencias de la Computación e Inteligencia Artificial. juntadeandalucia.es. Checked 20 October 2026.
  3. An axiomatic framework for propagating uncertainty in directed acyclic networks - MaRDI portal portal.mardi4nfdi.de. Checked 20 October 2026.
  4. Artículos | Tratamiento de la Incertidumbre en Sistemas Inteligentes utai.ugr.es. Checked 20 October 2026.
  5. Articles | Uncertainty Treatment in Artificial Intelligence utai.ugr.es. Checked 20 October 2026.
  6. SERAFÍN MORAL CALLEJÓN - Universidad de Granada produccioncientifica.ugr.es. Checked 20 October 2026.
  7. Serafín Moral Callejón | Universidad de Granada ugr.es. Checked 20 October 2026.