Adrián Fidalgo-Díaz
Contact: adrian.fidalgo22@uva.es
Webpage: https://adrianfd22.github.io/
Education
- 2023-present
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PhD in Mathematics advised by Umberto Martínez-Peñas; Universidad de
Valladolid.
- 2021-2022
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Master’s degree in Mathematical Research; Universitat de València.
- 2017-2021
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Bachelor’s degree in Computational Mathematics; Universitat Jaume I.
Publications
- 2024
-
Adrián Fidalgo-Díaz, Umberto Martínez-Peñas. Distributed matrix
multiplication with straggler tolerance over very small fields.
Preprint, https://arxiv.org/abs/2411.19065.
- 2024
-
Adrián Fidalgo-Díaz, Umberto Martínez-Peñas. Distributed matrix
multiplication with straggler tolerance using algebraic function fields.
IEEE transactions on Information theory, https://ieeexplore.ieee.org/document/10786350.
- 2024
-
Adrián Fidalgo-Díaz, Umberto Martínez-Peñas. Distributed matrix
multiplication over small fields with straggler tolerance. EACA,
Meetings on Computer Algebra and Applications, https://eventos.ucm.es/104844/section/50597/eaca2024.html.
- 2024
-
Adrián Fidalgo-Díaz, Umberto Martínez-Peñas. Distributed matrix
multiplication with straggler tolerance using algebraic function fields.
IEEE International Symposium on Information Theory, https://cmsworkshops.com/ISIT2024/view_paper.php?PaperNum=1629.
Teaching
- 2024-2025
-
TA in Fundamentals of Mathematics: Using Sagemath. Responsibilities:
lecturing once a week and preparing and grading HW assignments and
exams.
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Supervision of Bachelor’s thesis: Applications of the Borsuk-Ulam
theorem.
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Supervision of Bachelor’s thesis: An introduction to knot theory.
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Organizer of the reading group for Master and PhD students
“Homological algebra”. Responsabilities: lecturing once a month and
preparing HW assignments.
- 2023-2024
-
TA in Fundamentals of Mathematics: Using Maple. Responsibilities:
lecturing once a week and preparing and grading HW assignments and
exams.
-
TA in Coding theory and cryptography. Responsibilities: lecturing
once a week and preparing and grading HW assignments.
-
TA in Cryptography. Responsibilities: lecturing once a week and
preparing and grading HW assignments.
Language skills
Spanish: native.
English: fluent.
French: basic.
Talks and posters
- 2025
-
Talk: Distributed matrix multiplication using multivariate
polynomials at Error-correcting codes and combinatorial structures
workshop.
- 2025
-
Talk: Distributed matrix multiplication using multivariate
polynomials at RSME’s 7th Congress of Young Researchers.
- 2024
-
Talk: Multiplicación distribuida de matrices mediante cuerpos de
funciones algebraicas at SINGACOM Seminar.
- 2024
-
Talk: Distributed matrix multiplication using multivariate
polynomials at MatSI, IMAC and Singacom Day on Algebraic
Applications to Information Theory.
- 2024
-
Talk: Distributed matrix multiplication with straggler tolerance
using algebraic function fields at ISIT 2024.
- 2024
-
Talk: Distributed matrix multiplication over small fields with
straggler tolerance at XVIII EACA.
- 2024
-
Talk: Distributed matrix multiplication with straggler tolerance
based on polynomial algebras at V jornadas de la red MatSI.
- 2024
-
Talk: Numerical semigroup problems motivated by distributed matrix
multiplication at the SecureCAT FollowUp Workshop.
- 2023
-
Talk: Distributed Matrix Multiplication with straggler tolerance
using one point algebraic geometry codes at V BYMAT conference.
- 2023
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Poster: Distributed matrix multiplication via algebraic-geometric
codes at Sixth EACA International School on Computer Algebra and
its Applications.
Monographs
- 2022
-
Curvas proyectivas monomiales aritméticamente Cohen-Macaulay y el
problema del cambio de monedas. Master’s thesis, supervised by Francisco
Monserrat and Julio José Moyano-Fernández.
- 2021
-
Semigrupos numéricos supersimétricos. Bachelor’s thesis, supervised by
Julio José Moyano-Fernández. Available at http://hdl.handle.net/10234/195547.
Organizing
- 2024
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Member of the organizing committee of VI BYMAT conference.
Awards
- 2017-2018
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Ernest Breva award for academic excellence.
- 2017-2018
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Grant from Ministerio de Educación for high performance.