PeopleofSuperintelligence

Researcher

Alberto Fernández Hilario

Also known as Alberto Fernández, Alberto Luis Fernández Hilario

Alberto Fernández Hilario is a University of Granada AI researcher whose work focuses on fuzzy-rule learning and imbalanced classification. Born in Cádiz, he earns an engineering degree in 2005, completes a 2010 doctorate on linguistic fuzzy-rule classifiers, receives the 2010 Outstanding PhD Thesis Award, and begins research through an FPI grant linked to KEEL II. He works at the University of Jaén, returns to UGR as a Profesor Titular in 2017, coauthors a 2018 review of SMOTE, and teaches machine learning in a bioinformatics MOOC in 2025. He is a full professor and master's coordinator at UGR, teaches advanced data mining in the 2026–2027 program, and directs a generative AI consulting program from December 2025 to July 2026.

Works
147
Citations
21,063
h-index
48
Badges
Links
Google Scholar

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1982–2005

    From Cádiz to Granada

    Alberto Fernández Hilario is born in Cádiz in 1982 and earns an engineering degree at the University of Granada in 2005.

  2. 2010

    An imbalanced-data doctorate

    He completes a computer science doctorate at UGR in 2010 with a thesis on linguistic fuzzy-rule classifiers for imbalanced classes and receives the 2010 Outstanding PhD Thesis Award. His research career begins with an FPI grant linked to KEEL II.

  3. 2010–2016

    A post at Jaén

    He serves as a Contratado Doctor at the University of Jaén from 2010 to 2016.

  4. 2017

    Returning to Granada

    He returns to UGR in 2017 as a Profesor Titular in its Department of Computer Science and Artificial Intelligence.

  5. 2018

    A review of SMOTE

    In 2018, he coauthors the JAIR review “SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary.” The paper surveys SMOTE applications and identifies challenges for Big Data problems.

  6. March 2025

    Teaching bioinformatics machine learning

    He teaches data science and machine learning in UGR's fifth MOOC on machine learning and Big Data for bioinformatics in March 2025.

  7. December 2025–July 2026

    A generative AI program

    UGR's Centro Mediterráneo runs a generative AI and innovation consulting program from December 2025 to July 2026. He directs and coordinates the agreement and brings expertise in trustworthy AI and data science.

  8. Since 2023

    Professor and master's coordinator

    Since 2023, he is a full professor in UGR's Department of Computer Science and Artificial Intelligence; since March 2022, he coordinates the Master's in Data Science and Computer Engineering. In 2026–2027, UGR lists him on the teaching staff for Advanced Data Mining in the master's; the syllabus covers imbalanced classification, AutoML, and deep learning.

Career

  1. Since 2025Universidad de GranadaTenured professor (Profesor Titular), Director and coordinator
  2. 2010–2016Universidad de JaénContratado Doctor

Education

  1. 2010Universidad de GranadaEngineering degree

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

  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

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  1. Alberto Fernández Hilario – DaSCI dasci.es. Checked 22 October 2026.
  2. ALBERTO LUIS FERNÁNDEZ HILARIO - Universidad de Granada produccioncientifica.ugr.es. Checked 22 October 2026.
  3. Alberto Luis Fernández Hilario | UNIA unia.es. Checked 22 October 2026.
  4. SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary | Journal of Artificial Intelligence Research jair.org. Checked 22 October 2026.
  5. Curso: MOOC Machine Learning y Big Data para la Bioinformática. 5ª Edición | AbiertaUGR abierta.ugr.es. Checked 22 October 2026.
  6. Programa de Especialización en IA Generativa y Consultoría de Innovación Disruptiva (Loomis AI Hub) – Centro Mediterráneo cemed.ugr.es. Checked 22 October 2026.
  7. Guía docente de Minería de Datos: Aspectos Avanzados (M51/56/3/23) | Centro de Instrumentación Científica cic.ugr.es. Checked 22 October 2026.
  8. Equipo de Trabajo - AIGranada aigranada.com. Checked 22 October 2026.