Updated on 2026/04/20

写真a

 
ARAGON JURADO, Jose Miguel
 
Affiliation
Faculty of Science and Engineering, Graduate School of Information, Production, and Systems
Job title
Assistant Professor(without tenure)
Mail Address
メールアドレス
Homepage URL
https://josemiguel-aragon.github.io/

Research Experience

  • 2026.04
    -
    Now

    Waseda University   Graduate School of Information Production and Systems   Assistant Professor

  • 2025.07
    -
    2026.03

    University of Cadiz   Department of Computer Engineering   Postdoctoral Researcher (Spanish FPU Fellow)

  • 2023.01
    -
    2025.07

    University of Cadiz   Department of Computer Engineering   Predoctoral Researcher (Spanish FPU Fellow)

  • 2021.11
    -
    2022.09

    University of Cadiz   Department of Computer Engineering   Research Assistant

Education Background

  • 2022.11
    -
    2025.07

    University of Cadiz   Ph.D. in Computer Engineering  

    Graduated Summa Cum Laude (Highest distinction)

  • 2021.10
    -
    2022.09

    University of Cadiz   Master of Research in Systems and Computer Engineering  

    Awarded the Extraordinary Master’s Degree Award

  • 2017.09
    -
    2021.07

    University of Cadiz   Bachelor of Engineering in Computer Engineering  

    Specialization in Computer Science

Committee Memberships

  • 2023.06
    -
    2026.03

    Department of Computer Engineering, University of Cádiz, Spain  Department Council Member

Professional Memberships

  • 2025.04
    -
    Now

    ACM SIGEVO

  • 2021.07
    -
    Now

    Graphical Methods, Optimization and Learning (GOAL) Research Group

  • 2024.03
    -
    2026.03

    IEEE Computer Society

Research Areas

  • Software   Compiler Optimization, Energy-efficient Software, Automated Software Optimization, Performance–Energy Trade-offs, Code Obfuscation / Soft computing   Evolutionary Computation, Machine Learning, Multi-objective Optimization, Search-Based Software Engineering, Genetic Algorithms

Research Interests

  • Green and Sustainable Computing

  • Compiler Optimization and Evolutionary Computation

  • Software Obfuscation and Security

  • Green Gaming and Entertainment Computing

  • Sustainable Public Transport Systems and Intelligent Mobility

Awards

  • FPU Mobility Grant

    2025.10   Spanish Ministry of Science, Innovation and Universities   International Research Stay Funding (Ranked 1st in Computer Science)

    Winner： José Miguel Aragón-Jurado

  • Best Paper Award

    2024.06   Spanish Computer Science Society   Optimización automática del videojuego Doom para un rendimiento óptimo en Steam Deck (Automatic Optimization of Doom Videogame for Optimal Performance on Steam Deck)

    Winner： José Miguel Aragón-Jurado, Juan Carlos de la Torre, Patricia Ruiz, Bernabé Dorronsoro

  • Best Journal Paper Award

    2023.12   Cepsa Foundation   Optimal Battery Management Strategies for Plug-in Electric Hybrid Buses on Routes Including Green Corridors

    Winner： Patricia Ruiz, José Miguel Aragón-Jurado, Marcin Seredynski, Juan Francisco Cabrera, David Peña, Juan Carlos de la Torre, Albert Y. Zomaya, Bernabé Dorronsoro

  • Best Paper Award

    2023.06   INGEGRAF Conference   Multivariable Visualization Tool of the Performance of Plug-In Hybrid Electric Buses

    Winner： José Miguel Aragón-Jurado, Bernabé Dorronsoro, Patricia Ruiz

  • FPU Fellowship (National Doctoral Fellowship)

    2022.11   Spanish Ministry of Universities   Competitive National Grant for Doctoral Studies

    Winner： José Miguel Aragón-Jurado

  • Doctoral Defense Incentive (Modality B)

    2025.09   University of Cádiz   Software Optimization for the Green Internet of Things

    Winner： José Miguel Aragón-Jurado

  • Extraordinary Master’s Degree Award

    2022.12   University of Cádiz   Master of Research in Systems and Computer Engineering

    Winner： José Miguel Aragón-Jurado

  • INICIA INV Research Initiation Grant

    2022.09   University of Cádiz   Handling Uncertainty in Measuring the Energy Consumption of a Raspberry Pi for the Development of Optimized Green Software

    Winner： José Miguel Aragón-Jurado

  • First Prize – atrÉBT! Entrepreneurship Competition

    2019.06   University of Cádiz   BLESS - Innovative Technology Project

    Winner： José Miguel Aragón-Jurado

▼display all

 

Papers

  • Energy-Efficient Large Language Models

    Javier Jareño, José Miguel Aragón-Jurado, Juan Carlos De La Torre, Patricia Ruiz, Bernabé Dorronsoro

    Future Generation Computer Systems     108483 - 108483  2026.03  [Refereed]

    DOI

  • Two-level automatic software optimization using cooperative co-evolutionary algorithms

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, Yusuke Nojima, Patricia Ruiz, Bernabé Dorronsoro

    Applied Soft Computing     115066 - 115066  2026.03  [Refereed]

    Authorship：Lead author, Corresponding author

    DOI

  • Green Gaming: Automated Energy Consumption Reduction for Doom Engine

    José Miguel Aragón-Jurado, Patricia Ruiz, Bernabé Dorronsoro, Ruck Thawonmas

    IEEE Consumer Electronics Magazine   15 ( 1 ) 15 - 21  2026.01  [Refereed]

    Authorship：Lead author, Corresponding author

    DOI

  • Sustainable driving operations of urban plugin hybrid buses considering restricted emission mapping zones

    Marina Díaz-Jiménez, José Miguel Aragón-Jurado, Bernabé Dorronsoro, Pablo Pavón-Domínguez, Marcin Seredynski, Patricia Ruiz

    Engineering Applications of Artificial Intelligence   157   111179 - 111179  2025.10  [Refereed]

    DOI

  • Does faster mean greener? Runtime and energy trade-offs in iOS applications with compiler optimizations

    José Miguel Aragón-Jurado, Abdul Ali Bangash, Bernabé Dorronsoro, Karim Ali, Abram Hindle, Patricia Ruiz

    Sustainable Computing: Informatics and Systems   47   101166 - 101166  2025.09

    Authorship：Lead author, Corresponding author

    DOI

  • Automatic software tailoring for Green Internet of Things

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, Patricia Ruiz, Bernabé Dorronsoro

    Internet of Things   30   101521 - 101521  2025.03  [Refereed]

    Authorship：Lead author, Corresponding author

    DOI

  • Automatic Software Tailoring for Optimal Performance

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, Patricia Ruiz, Pedro L. Galindo, Albert Y. Zomaya, Bernabé Dorronsoro

    IEEE Transactions on Sustainable Computing   9 ( 3 ) 464 - 481  2024.05  [Refereed]

    Authorship：Lead author

    DOI

  • Neuroevolved bi-directional LSTM applied to zero emission zones management in urban transport

    J.M. Aragón-Jurado, J.C. de la Torre, J. Jareño, B. Dorronsoro, A. Zomaya, P. Ruiz

    Applied Soft Computing   148   110943 - 110943  2023.11  [Refereed]

    Authorship：Lead author

    DOI

  • Optimal battery management strategies for plug-in electric hybrid buses on routes including green corridors

    P. Ruiz, J.M. Aragón-Jurado, M. Seredynski, J.F. Cabrera, D. Peña, J.C. de la Torre, A.Y. Zomaya, B. Dorronsoro

    Sustainable Cities and Society   94   104556 - 104556  2023.07  [Refereed]

    DOI

  • Energy–Performance Trade-Offs of LU Matrix Decomposition in Java Across Heterogeneous Hardware and Operating Systems

    Francisco J. Rosa, Juan Carlos de la Torre, José M. Aragón-Jurado, Alberto Valderas-González, Bernabé Dorronsoro

    Applied Sciences   16 ( 2 ) 1002 - 1002  2026.01  [Refereed]

    　View Summary

    The increasing core counts and architectural heterogeneity of modern processors make performance optimization insufficient if energy consumption is not simultaneously considered. By providing a novel characterization of how the interaction between hybrid architectures and system software disrupts the traditional correlation between execution speed and energy efficiency, this research study analyzes the performance–energy trade-offs of parallel LU matrix decomposition algorithms implemented in Java, focusing on the Crout and Doolittle variants. This study is conducted on four different platforms, including ARM-based, Hybrid x86, and many-core accelerators. Execution time and speedup are evaluated for varying thread counts, while energy consumption is measured externally to capture whole-system energy usage. Experimental results show that the configuration yielding the maximum speedup does not necessarily minimize energy consumption. While x86 systems showed energy savings exceeding 80% under optimal parallel configurations, the ARM-based platform required distinct thread counts to minimize energy consumption compared with maximizing speed. These findings demonstrate that energy-efficient configurations represent a distinct optimization space that often contradicts traditional performance metrics. In the era of hybrid computing, green software optimization must transition from a simplistic “race-to-sleep” paradigm toward sophisticated, architecture-aware strategies that account for the specific power profiles of heterogeneous cores to achieve truly sustainable high-performance computing.

    DOI

  • Learning to Code through Creation: Project-Based Learning with Automated Feedback in Industrial Design

    Juan Carlos de la Torre, José Miguel Aragón-Jurado

    Conference Proceedings EDUNOVATIC 2025: 10th Virtual International Conference on Education, Innovation and ICT    2025.11

  • Project-Based Learning for Teaching Server Administration: Implementing Secure Dockerized Infrastructures in the University Classroom

    José Miguel Aragón-Jurado, Juan Carlos de la Torre

    Conference Proceedings EDUNOVATIC 2025: 10th Virtual International Conference on Education, Innovation and ICT    2025.11

    Authorship：Lead author, Corresponding author

  • Green by Design: Energy-Guided Reranking of LLM-Generated Programs

    Yi Xia, José Miguel Aragón-Jurado, Ruck Thawonmas

    Proc. of the 1st Open Conference of AI Agents for Science (2025)    2025.10

  • Evolución de la infraestructura de compilación LLVM según las optimizaciones de código disponibles (Evolution of the LLVM Compilation Infrastructure According to Available Code Optimizations)

    Elena Vázquez-Rodríguez, José Miguel Aragón-Jurado, Juan Carlos de la Torre, Bernabé Dorronsoro

    Proc. of the XXIX Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2025)    2025.09  [Refereed]

    Authorship：Corresponding author

  • LinuxVerde: Un sistema operativo para la medición precisa del consumo energético del software (GreenLinux: An Operating System for Accurate Software Energy Consumption Measurement)

    Proc. of the XXIX Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2025)    2025.09  [Refereed]

    Authorship：Corresponding author

  • Comparison on the Use of Hybrid and Plugin Hybrid Electric Buses for Sustainable Urban Transportation – Split Use Case

    Mia Kalaica, José Miguel Aragón-Jurado, Ivan Jakus, Bernabé Dorronsoro, Patricia Ruiz

    Communications in Computer and Information Science     160 - 176  2025.08  [Refereed]

    DOI

  • A Two-step Approach to Find Short Compilation Transformation Sequences for Optimal Software Runtime Performance

    Juan Carlos de la Torre, José Miguel Aragón-Jurado, Javier Jareño, Bernabé Dorronsoro, Patricia Ruiz

    Proceedings of the Genetic and Evolutionary Computation Conference Companion     815 - 818  2025.07  [Refereed]

    DOI

  • Optimización en dos pasos del rendimiento del software usando transformaciones de compilación (Two-Step Optimization of Software Performance Using Compiler Transformations)

    Juan Carlos de la Torre, José Miguel Aragón-Jurado, Javier Jareño, Bernabé Dorronsoro, Patricia Ruiz

    Proc. of the XVI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2025)    2025.05  [Refereed]

  • Bus Route Segmentation for Performance Optimization Using Geographical Mapping Tools

    José Miguel Aragón-Jurado, Bernabé Dorronsoro, Patricia Ruiz

    Lecture Notes in Mechanical Engineering     751 - 760  2025.04  [Refereed]

    Authorship：Lead author, Corresponding author

    DOI

  • Automatic Generation of Greener Software Program Versions with Genetic Algorithms

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, Patricia Ruiz, Bernabé Dorronsoro

    Proc. of the International Conference in Optimization and Learning (OLA 2025)    2025.04

    Authorship：Lead author

  • Two-Level Software Obfuscation with Cooperative Co-Evolutionary Algorithms

    José Miguel Aragón-Jurado, Javier Jareóo, Juan Carlos De la Torre, Patricia Ruiz, Bernabé Dorronsoro

    2024 IEEE Congress on Evolutionary Computation (CEC)     1 - 8  2024.06  [Refereed]

    Authorship：Lead author, Corresponding author

    DOI

  • Software Performance Optimization with Genetic Algorithms

    Juan Carlos de la Torre, José Miguel Aragón-Jurado, Javier Jareño, Patricia Ruiz, Bernabé Dorronsoro

    Proc. of the Tenth Spanish-German Symposium on Applied Computer Science (SGSOACS 2024)    2024.06

  • Management of Zero Emissions Zones in Urban Transport by Means of Neuroevolution

    Javier Jareño, José Miguel Aragón-Jurado, Juan Carlos de la Torre, Bernabé Dorronsoro, Patricia Ruiz

    Proc. of the Tenth Spanish-German Symposium on Applied Computer Science (SGSOACS 2024)    2024.06

  • Ofuscación de Software en dos Niveles usando Algoritmos Cooperativos Coevolutivos (Software Obfuscation at Two Levels Using Cooperative Co-evolutionary Algorithms)

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, Patricia Ruiz, Bernabé Dorronsoro

    Proc. of the XV Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2024)    2024.06  [Refereed]

    Authorship：Lead author, Corresponding author

  • Optimización automática del videojuego Doom para un rendimiento óptimo en Steam Deck (Automatic Optimization of Doom Videogame for Optimal Performance on Steam Deck)

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, Patricia Ruiz, Bernabé Dorronsoro

    Proc. of the III Congreso Español de Videojuegos    2024.06  [Refereed]

    Authorship：Lead author, Corresponding author

  • Electric Drive Assignment Strategies Optimization for Plugin Hybrid Urban Buses on Tailored Emissions Mapping

    José Miguel Aragón-Jurado, Marina Díaz-Jiménez, Bernabé Dorronsoro, Pablo Pavón-Domínguez, Marcin Seredynski, Patricia Ruiz

    2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)     909 - 918  2024.05  [Refereed]

    Authorship：Lead author, Corresponding author

    DOI

  • Source code obfuscation with genetic algorithms using LLVM code optimizations

    Juan Carlos de la Torre, Javier Jareño, José Miguel Aragón-Jurado, Sébastien Varrette, Bernabé Dorronsoro

    Logic Journal of the IGPL   33 ( 5 )  2024.05  [Refereed]

    　View Summary

    Abstract

    With the advent of the cloud computing model allowing a shared access to massive computing facilities, a surging demand emerges for the protection of the intellectual property tied to the programs executed on these uncontrolled systems. If novel paradigm as confidential computing aims at protecting the data manipulated during the execution, obfuscating techniques (in particular at the source code level) remain a popular solution to conceal the purpose of a program or its logic without altering its functionality, thus preventing reverse-engineering on the program even with the help of computing resources. The many advantages of code obfuscation, together with its low cost, makes it a popular technique. This paper proposes a novel methodology for source code obfuscation that can be used together with other traditional obfuscation techniques, making the code more robust against reverse engineering attacks. Three program complexity metrics are used to define three different single-objective combinatorial optimization versions of the problem, which are solved and analysed. Additionally, three multi-objective problems are defined, those considering each of the selected metrics together with the program execution time, in order to avoid strong obfuscations penalizing the performance. The goal of the defined problems is to find sequences of LLVM optimizations that lead to highly obfuscated versions of the original code. These transformations are applied to the back-end pseudo-assembly code (i.e., LLVM Intermediate Representation), thus avoiding any further optimizations by the compiler. Classical genetic algorithms (GAs) are used to solve the studied problems, namely a basic cellular GA for the single-objective problems and the popular NSGA-II for the multi-objective ones. The promising results show the potential of the proposed technique.

    DOI

  • Battery Management Strategies Optimization for Urban Plug-in Hybrid Buses

    Patricia Ruiz, José Miguel Aragón-Jurado, Juan Francisco Cabrera, Juan Carlos de la Torre, Bernabé Dorronsoro

    Proc. of the International Conference in Optimization and Learning (OLA 2024)    2024.05

  • Automatic Software Performance Optimization using Genetic Algorithms

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, Patricia Ruiz, Bernabé Dorronsoro

    International Conference in Optimization and Learning (OLA 2024)    2024.05

    Authorship：Lead author

  • GAGI: Game engine for Artificial General Intelligence experimentation

    Juan Carlos de la Torre, José M. Aragón-Jurado, Abdón Crespo-Álvarez, Guillermo Bárcena-González

    SoftwareX   26   101665 - 101665  2024.05  [Refereed]

    DOI

  • Multivariable Visualization Tool of the Performance of Plug-In Hybrid Electric Buses

    Jose Miguel Aragón-Jurado, Bernabé Dorronsoro, Patricia Ruiz

    Proc. of the INGEGRAF 2023, Lecture Notes in Mechanical Engineering, Springer, Cham     309 - 318  2024  [Refereed]

    Authorship：Lead author

    DOI

  • A Survey on Automatic Source Code Transformation for Green Software Generation

    Bernabé Dorronsoro, José M. Aragón-Jurado, Javier Jareño, Juan C. de la Torre, Patricia Ruiz

    Encyclopedia of Sustainable Technologies     765 - 779  2024  [Refereed]

    DOI

  • Obfuscating LLVM Intermediate Representation Source Code with NSGA-II

    Juan Carlos de la Torre, José Miguel Aragón-Jurado, Javier Jareño, Sébastien Varrette, Bernabé Dorronsoro

    Lecture Notes in Networks and Systems     181 - 191  2022.11  [Refereed]

    DOI

  • Optimización de programas software considerando la incertidumbre del tiempo de ejecución (Optimization of Software Programs Considering Runtime Uncertainty)

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, Carlos Benito-Jareño, Bernabé Dorronsoro

    Proc. of the XXVI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2022)    2022.09  [Refereed]

    Authorship：Lead author, Corresponding author

  • Detección Inteligente de Sucesos en Smart Cities con Feedback de los Ciudadanos (Intelligent Event Detection in Smart Cities with Citizen Feedback)

    José Miguel Aragón-Jurado, Luis Eduardo Acuña-Vega, Guadalupe Ortiz, Juan Boubeta-Puig, Andrés Muñoz

    Proc. of the XVII Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2022)    2022.09  [Refereed]

    Authorship：Lead author, Corresponding author

  • Optimización robusta del tiempo de ejecución de programas software con Algoritmos Genéticos (Robust Optimization of Software Runtime Using Genetic Algorithms)

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, Carlos Benito-Jareño, Bernabé Dorronsoro

    Proc. of the II Jornadas de Investigación Predoctoral en Ingeniería Informática (JIPII 2022)    2022.06  [Refereed]

    Authorship：Lead author, Corresponding author

  • Hacia la Detección Inteligente de Sucesos en Ciudades Inteligentes con la Participación Ciudadana (Towards Intelligent Event Detection in Smart Cities with Citizen Participation)

    José Miguel Aragón-Jurado, Luis Eduardo Acuña-Vega, Guadalupe Ortiz, Juan Boubeta-Puig, Andrés Muñoz

    Proc. of the II Jornadas de Investigación Predoctoral en Ingeniería Informática    2022.06  [Refereed]

    Authorship：Lead author, Corresponding author

  • A Study on the Influence of Runtime Uncertainty in the Optimization of Software Programs

    José Miguel Aragón-Jurado, Juan Carlos de la Torre, El-Ghazali Talbi, Bernabé Dorronsoro

    Proc. of the 8th International Conference on Metaheuristics and Nature Inspired Computing (META 2021)    2021.10  [Refereed]

    Authorship：Lead author

▼display all

Works

  • GAGI: Game engine for Artificial General Intelligence experimentation

    Juan Carlos de la Torre, José Miguel Aragón-Jurado, Alejandro Crespo-Álvarez, Gonzalo Bárcena-González  Software 

    2023
    -
    2024

Presentations

  • Learning to Code through Creation: Project-Based Learning with Automated Feedback in Industrial Design

    José Miguel Aragón-Jurado

    EDUNOVATIC 2025: 10th Virtual International Conference on Education, Innovation and ICT 

    Presentation date： 2025.11

  • Project-Based Learning for Teaching Server Administration: Implementing Secure Dockerized Infrastructures in the University Classroom

    José Miguel Aragón-Jurado

    EDUNOVATIC 2025: 10th Virtual International Conference on Education, Innovation and ICT 

    Presentation date： 2025.11

  • A Two-step Approach to Find Short Compilation Transformation Sequences for Optimal Software Runtime Performance

    José Miguel Aragón-Jurado

    Genetic and Evolutionary Computation Conference - GECCO 

    Presentation date： 2025.07

  • Toward Greener Games: Reducing Energy for a Sustainable Future

    José Miguel Aragón-Jurado  [Invited]

    6th RCGS Research Workshop, Ritsumeikan University 

    Presentation date： 2025.06

  • Source Code Obfuscation with Evolutionary Algorithms

    José Miguel Aragón-Jurado  [Invited]

    Amii Artificial Intelligence Seminar, University of Alberta 

    Presentation date： 2024.07

  • Two-level Software Obfuscation with Cooperative Co-evolutionary Algorithms

    José Miguel Aragón-Jurado

    2024 IEEE Congress on Evolutionary Computation - CEC 

    Presentation date： 2024.07

  • Electric Drive Assignment Strategies Optimization for Plugin Hybrid Urban Buses on Tailored Emissions Mapping

    José Miguel Aragón-Jurado

    2024 IEEE International Parallel and Distributed Processing Symposium - IPDPS 

    Presentation date： 2024.05

  • Multivariable Visualization Tool of the Performance of Plug-In Hybrid Electric Buses

    José Miguel Aragón-Jurado

    32nd INGEGRAF International Conference 

    Presentation date： 2023.06

  • Multi-objective optimization for the obfuscation of software programs using LLVM

    José Miguel Aragón-Jurado  [Invited]

    Master of Science in Cybersecurity, University of Cádiz 

    Presentation date： 2022.05

  • A Study on the Influence of Runtime Uncertainty in the Optimization of Software Programs

    José Miguel Aragón-Jurado

    8th International Conference on Metaheuristics and Nature Inspired Computing - META 

    Presentation date： 2021.10

  • Reducing energy consumption of programs on Android smartphones using genetic algorithms

    José Miguel Aragón-Jurado  [Invited]

    Bachelor of Engineering in Computer Engineering, University of Cádiz 

    Presentation date： 2021.09

  • Parallel genetic algorithms for software optimization: an analysis of performance on different platforms

    José Miguel Aragón-Jurado  [Invited]

    Bachelor of Engineering in Computer Engineering, University of Cádiz 

    Presentation date： 2021.09

  • Parallel genetic algorithms: designs and applications

    José Miguel Aragón-Jurado  [Invited]

    Bachelor of Engineering in Computer Engineering, University of Cádiz 

    Presentation date： 2021.09

▼display all

Research Projects

  • Automatic Generation of Green and Secure Software - GRASS

    Ministry of Economy, Innovation and Science of Andalucía, Spain  Regional R&D Project (FEDER Program)

    Project Year :

    2025.09
    -
    2027.09
     

    Bernabé Dorronsoro, Patricia Ruiz

  • Intelligent Eco-Driving Solutions for Sustainable Mobility

    Ministry of Science and Innovation, Spain  National R&D Project

    Project Year :

    2023.09
    -
    2026.08
     

    Patricia Ruiz, Bernabé Dorronsoro

  • Characterization of Energy Efficiency in the Software/Hardware Binomial Using Multifractal Analysis

    Ministry of Science and Innovation, Spain  National R&D Project

    Project Year :

    2022.12
    -
    2025.09
     

    Patricia Ruiz, Pablo Pavón-Domínguez

  • Intelligent Generation of Sustainable Software (GENIUS)

    Ministry of Economy, Innovation and Science of Andalucía, Spain  Regional R&D Project

    Project Year :

    2020.01
    -
    2023.03
     

    Bernabé Dorronsoro, Patricia Ruiz

  • Intelligent Sustainable Urban Transportation Systems

    Ministry of Science, Innovation and Universities, Spain  National R&D Project

    Project Year :

    2019.01
    -
    2022.09
     

    Patricia Ruiz, Bernabé Dorronsoro

Other

  • Visiting Researcher at University of Antwerp (Belgium)

    2026.02
    -
    2026.03

    　View Summary

    Research stay at the University of Antwerp (Belgium) under the supervision of Dr. Renzo Massobrio. The research focused on developing models for dynamic electric drive assignment in plug-in hybrid buses. This work led to the preparation of a journal manuscript.

  • Visiting Ph.D. Student at Ritsumeikan University (Japan)

    2025.04
    -
    2025.06

    　View Summary

    Research stay at Ritsumeikan University (Japan) under the supervision of Prof. Ruck Thawonmas. The research focused on the impact of compiler optimizations on the energy consumption of video game engines, including the optimization of the Doom engine. This stay resulted in a journal publication in IEEE Consumer Electronics Magazine.

  • Visiting Ph.D. Student at University of Alberta (Canada)

    2024.05
    -
    2024.08

    　View Summary

    Research stay at the University of Alberta (Canada) under the supervision of Prof. Abram Hindle. The research focused on analyzing the impact of compiler optimizations on runtime and energy consumption in iOS applications. This collaboration resulted in a journal publication in Sustainable Computing: Informatics and Systems.

 

Teaching Experience

  • Parallel and Distributed Programming

    University of Cádiz, Spain  

    2025
    -
    2026
     

  • Perception

    University of Cádiz, Spain  

    2023
    -
    2025
     

  • Machine Learning

    University of Cádiz, Spain  

    2023
    -
    2025
     

  • Automata Theory and Formal Languages

    University of Cádiz, Spain  

    2022
    -
    2023
     

 

Academic Activities

  • Special Session Organizer: AI for a Sustainable Future - Transforming engineering, mobility, and smart cities

    Competition, symposium, etc.

    9th International Conference on Optimization and Learning (OLA)  

    2026.04
    　
    　

  • Member of Evaluation Committees for Bachelor’s Thesis Defenses

    Scientific advice/Review

    University of Cádiz  

    2023
    -
    2025

  • Conference Collaborator - INGEGRAF 2023

    Competition, symposium, etc.

    32nd International Conference on The Digital Transformation in Graphic Engineering 2023  

    2023.06
    　
    　

  • Special Session Organizer: Artificial Intelligence for Sustainability

    Competition, symposium, etc.

    6th International Conference on Optimization and Learning (OLA).  

    2023.05
    　
    　

  • Reviewer for the conference: IEEE Global Conference on Consumer Electronics (GCCE) 2025

    Peer review

    IEEE  

  • Reviewer for the conference: IEEE Conference on Games (CoG) 2025

    Peer review

    IEEE  

  • Reviewer for the journal: Green Technologies and Sustainability

    Peer review

    Elsevier  

  • Reviewer for the journal: Energy Informatics

    Peer review

    Springer  

  • Reviewer for the journal: Sustainable Cities and Society

    Peer review

    Elsevier  

  • Reviewer for the journal: Urban Transitions

    Peer review

    Elsevier  

  • Reviewer for the journal: Computers & Security

    Peer review

    Elsevier  

  • Reviewer for the journal: Journal of Supercomputing

    Peer review

    Springer  

  • Reviewer for the journal: Future Generation Computer Systems

    Peer review

    Elsevier  

  • Reviewer for the journal: Applied Soft Computing

    Peer review

    Elsevier  

  • Reviewer for the journal: Engineering Applications of Artificial Intelligence

    Peer review

    Elsevier  

  • Reviewer for the Book “Data Analytics and Computational Intelligence”

    Peer review

    Book publisher / editorial project  

▼display all