About Me

I am a Computer Science Engineer, currently pursuing a PhD in Systems and Computer Science Engineering. Since 2022, I work with the Department of Computer Science and Systems Engineering and with the Aragon Institute of Engineering Research (I3A), in the Robotics, Computer Vision and Artificial Intelligence group (Ropert), University of Zaragoza. My work and research interests include dynamical systems modeling, artificial intelligence, computer vision and robotics.

Education

Degrees

PhD in Systems and Computer Science Engineering

University of Zaragoza (2022 - Present)

Master's Degree in Computer Science Engineering

University of Zaragoza (2020 - 2022)

Bachelor's Degree in Computer Science Engineering

University of Zaragoza (2016 - 2020)

Courses

• DeepLearning.AI Courses

  • Neural Networks and Deep Learning (2023) | Certificate
  • Improving Deep Neural Networks (2023) | Certificate
  • Structuring Machine Learning Projects (2023) | Certificate
  • Convolutional Neural Networks (2023) | Certificate
  • Sequence Models (2023) | Certificate
  • Deep Learning Specialization (2023) | Certificate

Experience

Professional Experience

Initiated Researcher

University of Zaragoza
Research Project in collaboration with BSH Electrodomésticos España
Keywords: Dynamical Systems Modeling, Artificial Intelligence, Computer Vision.
Zaragoza, Spain (February 2023 - Present)

Novel Researcher

University of Zaragoza
Research Project in collaboration with BSH Electrodomésticos España
Keywords: Dynamical Systems Modeling, Artificial Intelligence, Computer Vision.
Zaragoza, Spain (September 2022 - January 2023)

Internship

BSH Electrodomésticos España
Keywords: Artificial Intelligence, Computer Vision, Android.
Zaragoza, Spain (November 2021 - August 2022)

Academic Activities

• Peer Reviewer for Academic Journals and Conferences

  • Neural Computing and Applications – 5 papers reviewed (2024)
  • Seventh Iberian Robotics Conference [ROBOT 2024] – 1 paper reviewed (2024)

Frameworks and Programming Languages

Works

Journals

Dynamical System Simulation with Attention and Recurrent Neural Networks

J. Fañanás-Anaya, G. López-Nicolás and C. Sagüés
Neural Computing and Applications, vol. 37, pp. 2711–2731, 2025
DOI: 10.1007/s00521-024-10732-y
Paper | Code

Food Cooking Process Modeling with Neural Networks

J. Fañanás-Anaya, G. López-Nicolás, C. Sagüés and S. Llorente
IEEE Access, vol. 12, pp. 175866–175881, 2024
DOI: 10.1109/ACCESS.2024.3504724
Paper | Code (Training Algorithm)

Conferences

Robot Modeling with Autoregressive Transformers

J. Fañanás-Anaya, G. López-Nicolás and C. Sagüés
7th Iberian Robotics Conference (ROBOT), 2024
DOI: 10.1109/ROBOT61475.2024.10797406
Paper | Code

Posters

Virtual Data Generation with Kitchen Objects for Training Neural Networks

J. Fañanás-Anaya, G. López-Nicolás and C. Sagüés
Jornada de Jóvenes Investigadores del I3A, vol. 11, 2023
DOI: 10.26754/jjii3a.20239459
Abstract (Spanish) | Poster (Spanish)

Master's Thesis

Mobile Application for Estimation of Food Parameters using Machine Learning

J. Fañanás-Anaya, G. López-Nicolás and S. Llorente Gil
Master's Degree in Computer Science Engineering, University of Zaragoza, 2022
More info

Bachelor's Thesis

Virtual Dataset Generation and Deep Learning with Neural Networks for Object Recognition

J. Fañanás-Anaya, G. López-Nicolás and S. Llorente Gil
Bachelor's Degree in Computer Science Engineering, University of Zaragoza, 2020
More info

Master's Thesis Supervision

Communication System Between Android and Induction Cooktop

I. Baigorri López, G. López-Nicolás and J. Fañanás-Anaya
Master's Degree in Industrial Engineering, University of Zaragoza, 2024
More info

Bachelor's Thesis Supervision

Photorealistic Food Cooking Prediction Using Neural Networks

V. Lorenzo Costa, G. López-Nicolás and J. Fañanás-Anaya
Bachelor's Degree in Electronic Engineering, University of Zaragoza, 2024
More info

Personal Projects

Personal Website

The website you are currently viewing. Project made with HTML, CSS, Javascript and Bootstrap.
Code

Double Pendulum Simulations for Neural Network Training

Python project to generate animations and datasets for training Neural Networks to simulate the chaotic system of the double pendulum and its variation the double pendulum on a cart.
Code

Street Fighter II

Partial recreation of the Street Fighter II videogame programmed in Java with two colleagues from the University.
Code