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Draft:Alicia Troncoso

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  • Comment: Independent of whether she passes notability, this page is full of bragging, WP:Puffery. We don't allow this. Please remove all of this, for instance words such as "important", "first", "pioneering" etc. Plus everything needs sources. Lastly, this should be a statement of facts, not an essay. Ldm1954 (talk) 12:35, 20 March 2025 (UTC)
Alicia Troncoso
CitizenshipSpain
EducationUniversity of Seville (Spain)
Occupation(s)Intelligence Artificial Researcher, Professor
Employer(s)Pablo de Olavide University (Seville, Spain)
AwardsNational Award of Computer Science (SCIE and FBBVA), 2024
Websitehttps://datalab.upo.es/troncoso

Alicia Troncoso Lora is a Spanish researcher in Artificial Intelligence, head of the “Data Science and Big Data Research Lab".[1] at the Pablo de Olavide University [2](UPO), Full professor of Computer Science at the UPO and head of the Máster in Computer Science[3] at the UPO. She is also President[4] of the Spanish Association for the Artificial Intelligence [5] and and Vice-President of the Scientific Society of Computer Science in Spain. In her career she has held important management positions, including Vice Rector for Quality and Planning, Vice Rector for ICT, Quality and Innovation and Vice Rector for Information Technologies and Digital Innovation from 2009 to 2020[6][7]. She is a member of the advisory board of the Andalusian Digital Agency of the Junta de Andalucía since its creation in 2021, member of the board of directors of the company INPRO of the Seville Provincial Council since 2015.

Academic career

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She held a research staff training grant at the University of Seville from 1999 to 2002, when she joined the Department of Computer Languages and Systems (CLS) of the University of Seville as a lecturer. She received her doctorate in that Department in 2005 with the doctoral thesis “Advanced prediction and optimization techniques applied to power systems”[8]and her doctorate received the award for the best research work of the Andalusian universities in the area of knowledge “Techniques” from the Endesa Foundation[9].

In 2005 she joined as a doctoral professor in the area of CLS at the Universidad Pablo de Olavide, with the task of creating the new Department of Computer Science, the new Engineering School and the new degree of Computer Science. She was the first secretary of the new Department of Computer Science of the UPO from 2005 to 2007 and the first Deputy Director of the Department from 2007 to 2009. She was the first Deputy Director of Quality at the Engineering School from 2007 to 2009 and the first Academic Coordinator of the Computer Science Degree at the Engineering School from 2012 to 2015.

Her postdoctoral training has been completed in the United States, specifically at Columbia University in Nueva York, la University of Colorado at Boulder and the University of California at San Diego. En 2016 obtuvo su acreditación como Full Professor and since 2018 she is Professor of Computer Science at UPO.

At the Menéndez Pelayo International University she has been a member of the Academic Committee of the Master in Artificial Intelligence Research[10] from 2015 to 2020. At the UPO she has been a member of the Doctorate Commission of the University from 2014 to 2018 and a member of the academic senate of the University from 2016 to 2019. She is a member of the Academic Council of the Valencian Graduate School and Research Network in Artificial Intelligence (ValgraAI) since 2022[11]. She is a member of the Scientific Advisory Committee of the CERVERA Network of Excellence in Data-Driven Enabling Technologies (AI4ES) since 2021 and participated in the elaboration of the AI4ES R&D Strategic Research Agenda [12].

Trayectoria investigadora

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Her areas of interest are time series forecasting, big data and deep learning, explainable artificial intelligence and sustainability of machine learning models and their applications to real problems in different fields such as energy, environment, agriculture, etc.

She started in the 2000's in the area of time series forecasting from the Artificial Intelligence approach. Until that time, time series prediction was a topic that was investigated by mathematicians from the perspective of purely statistical models. In those years almost no research group in Spain investigated the design and development of machine learning algorithms for time series forecasting. Therefore, the algorithms that she developed based on the general idea of neighbors for the prediction of temporal data were pioneering[13].

In the early 2010s, the concept of big data and deep learning became very popular in Spain. Alicia Troncoso, without having used the term big data, had already participated in two research projects addressing problems related to big data[14][15]. She has directed one of the first theses on this subject, in which a scalable machine learning algorithm was developed for the prediction of temporal big data with long horizons[16]

In Deep learning, she has worked intensively on its application to the field of energy in collaboration with foreign researchers [17][18] and on mitigating its main disadvantages such as explainability and sustainability. She has directed a doctoral thesis on explainability of deep learning models in which a new measure is defined to compare the quality of an explanation given by an explainability method [19]. In sustainability of machine learning models, she addresses the development of lightweight models in order to reduce their energy consumption, focusing on the training of the algorithms.

She has more than 200 publications, which have received more than 5000 cumulative citations[20] with an h-index higher than 40. She is ranked first among Spaniards in the area of Time Series Forecasting[21], second among Spaniards in the area of Energy Forecasting and in the area of explainability, and in the top 5.4% of Spanish researchers in all areas according to webometrics[22]. She has supervised more than a dozen doctoral theses on various topics and has led numerous research projects in competitive calls of the European Union and the Spanish government.

Awards

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In 2005, her doctoral thesis received the award for the best research work of the Andalusian universities in the area of knowledge “Techniques” from the Endesa Foundation. In 2020 she was awarded for her research career in the ROMA[23] awards in the STEM category. In 2021 she was recognized by the Lavanda awards[24] for her leadership in the technology sector. In 2022 she obtained recognition for her research by the Seville City Council, being selected for the exhibition of images “Seville is also Science”[25], in which MUPIs with the best researchers of Seville were shown in the historic center of the city of Seville. In 2024 she was awarded the National Award of Computer Science[26], in the ARITMEL modality, for her contributions in the area of Artificial Intelligence.

References

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  1. ^ "Data Science & Big Data Research Lab".
  2. ^ "Universidad Pablo de Olavide, de Sevilla". Retrieved 2025-03-11.
  3. ^ "Másteres de la Universidad Pablo de Olavide". Retrieved 2025-03-11.
  4. ^ "Presidenta de la Asociación Española de Inteligencia Artificial". Archived from the original on 2025-03-11. Retrieved 2025-03-11.
  5. ^ "Asociación Española de Inteligencia Artificial". AEPIA está inscrita en el Registro Nacional de Asociaciones del Ministerio de Interior con fecha de 31 de agosto de 1984, en su sección 1ª, con los números 56.171 y 6.169, nacional y provincial respectivamente.
  6. ^ "Vicerrectora de Calidad y Planificación de la Universidad Pablo de Olavide". Archived from the original on 2025-03-11.
  7. ^ "Vicerrectora de Tecnologías de la Información e Innovación Digital". Archived from the original on 2025-03-11.
  8. ^ Troncoso, Alicia (2005). Advanced Techniques of Prediction and Optimization Applied to Power Systems.
  9. ^ "Fundación Endesa". Retrieved 2025-03-11.
  10. ^ "Másteres Universitarios - UIMP". www.uimp.es. Retrieved 2025-03-11.
  11. ^ "Consejo Académico de ValgrAI". Retrieved 2025-03-11.
  12. ^ "Comité Científico Asesor de AI4ES". 2022-12-20. Archived from the original on 2025-03-15. Retrieved 2025-03-11.
  13. ^ Lora, Alicia Troncoso; Santos, Jesus M. Riquelme; Exposito, Antonio Gomez; Ramos, Jose Luis MartÍnez; Santos, Jose C. Riquelme (2007-08-02). "Electricity Market Price Forecasting Based on Weighted Nearest Neighbors Techniques". IEEE Transactions on Power Systems. 22 (3): 1294–1301. Bibcode:2007ITPSy..22.1294L. doi:10.1109/TPWRS.2007.901670. ISSN 0885-8950. Retrieved 2025-03-11.
  14. ^ MINERVA: Técnicas emergentes de minería de datos para la extracción de conocimiento de grandes volúmenes de información: aplicación a datos científicos e industriales (TIN2004-00159). Duración: 2004-2007. Entidad financiadora: Ministerio de Ciencia y Tecnología.
  15. ^ Modelos Avanzados en Minería de Datos: Escalabilidad y Aplicación Biológica (TIN-68084-C02-00). Duración: 2008-2011. Entidad financiadora: Ministerio de Ciencia e Innovación.
  16. ^ Galicia, A.; Talavera-Llames, R.; Troncoso, A.; Koprinska, I.; Martínez-Álvarez, F. (2019-01-01). "Multi-step forecasting for big data time series based on ensemble learning". Knowledge-Based Systems. 163: 830–841. doi:10.1016/j.knosys.2018.10.009. Retrieved 2025-03-14.
  17. ^ Torres, José F.; Troncoso, Alicia; Koprinska, Irena; Wang, Zheng; Martínez-Álvarez, Francisco (2019-08-01). "Big data solar power forecasting based on deep learning and multiple data sources". Expert Systems. 36 (4). doi:10.1111/exsy.12394. ISSN 0266-4720. Retrieved 2025-03-11.
  18. ^ Hadjout, D.; Torres, J.F.; Troncoso, A.; Sebaa, A.; Martínez-Álvarez, F. (2022-03-01). "Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market". Energy. 243: 123060. Bibcode:2022Ene...24323060H. doi:10.1016/j.energy.2021.123060. Retrieved 2025-03-11.
  19. ^ Troncoso-García, A. R.; Martínez-Ballesteros, M.; Martínez-Álvarez, F.; Troncoso, A. (2025). "A new metric based on association rules to assess feature-attribution explainability techniques for time series forecasting". IEEE Transactions on Pattern Analysis and Machine Intelligence. PP: 1–18. doi:10.1109/TPAMI.2025.3540513. ISSN 0162-8828. PMID 40031563. Retrieved 2025-03-11.
  20. ^ "Alicia Troncoso Lora en Google Scholar". Retrieved 2025-03-11.
  21. ^ "Alicia Troncoso Lora". Retrieved 2025-03-11.
  22. ^ "Alicia Troncoso Lora en Webometrics". Retrieved 2025-03-11.
  23. ^ "Premios ROMA 2020". 2020-12-09. Archived from the original on 2025-03-15.
  24. ^ "Premios Lavanda 2021". 2021-10-29. Archived from the original on 2025-03-15.
  25. ^ "Exposición Sevilla también es Ciencia". 2023-04-19.
  26. ^ "Premios Nacionales de Informática 2024". 2024-10-22. Archived from the original on 2025-03-15. Retrieved 2015-03-15.

Category:Academic staff of Pablo de Olavide University Category:Women scientists Category:Spanish women scientists Category:Women computer scientists Category:Artificial intelligence researchers

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