Hi there! And welcome to my website!

My name is Emilio José Padrón González (Ourense, 1975) and I am teaching and researching at Universidade da Coruña (UDC) as a member of the Computer Architecture Group (GAC) and the research center CITIC. My main topics of interest are in the fields of High Performance Computing (HPC), Computer Graphics, Data Analytics and Artificial Intelligence.

At present, I’m mainly focus on these two research lines:

  • High performance data analytics (HPDA and Big Data), applied to scientific data from numerical simulations to get an online analysis of these data (in-situ and/or in-transit) at scale.

  • The triangle Computer Graphics - Computer Vision - Artificial Intelligence: particularly, AI (ML/DL/DRL) applied to computer graphics, computer vision and multimedia.

Interests

  • High Peformance Computing
  • Computer Graphics
  • Data Analytics
  • Artificial Intelligence
  • Free/Libre and Open-Source Software (FLOSS)

Education

  • PhD in Computer Science, 2006

    Universidade da Coruña

  • MSc in Computer Science, 1998

    Universidade da Coruña

  • BSc in Computer Science, 1996

    Universidade da Coruña

Teaching

2022-2023 Academic year

Degree: Bachelor of Computer Science / Grao en Enxeñería Informática

  • Courses:

Degree: Master of Computer Science / Mestrado en Enxeñería Informática (MUEI)

  • Course:

    • Interaction, Graphics and Multimedia / Interacción, Gráficos e Multimedia (IGM)
      -> File -> Teaching guide

Degree: Master in HPC (High Performance Computing) / Mestrado en Computación de Altas Prestacións

Degree: Master in Design, Development and Marketing of Videogames / Mestrado en Deseño, Desenvolvemento e Comercialización de Videoxogos

  • Course:

    • Video Game Performance and Optimization / Rendemento e optimización de videoxogos
      -> File & teaching guide

PFCs

Archive

:PROPERTI

Final Year Project Supervision: BSc & MSc

Call for proposals!

23/11 Work in Progress: 20231115

Hand alphabet recognition and translation.

23/07 Work in Progress: 20230702

Virtual reality GUI for advanced 3D radiologic image display.

23/06 Work in Progress: 20230601

MIPS simulator in Godot.

22/04b: Work in Progress

3D tracking of 3D printed prosthesis for Augmented Reality.

22/09b: Call for student!

Multi-agent system simulation in virtual environments.

Archive

Past supervised projects.

22/09a: Call for student!

Crop Models for Reinforcement Learning.

22/04a: Work in Progress

Online Data Analytics for Scientic Numerical Simulations with Python & Ray.

Recent Publications

Quickly discover relevant content by filtering publications.

A Comprehensive Handball Dynamics Dataset for Game Situation Classification

This article presents a comprehensive dataset of labeled game situations obtained from multiple professional handball matches, which …
Omar A. Mures, Javier Taibo, Emilio J. Padrón, Jose A. Iglesias-Guitian
PDF DOI
A Comprehensive Handball Dynamics Dataset for Game Situation Classification

PlayNet: real-time handball play classification with Kalman embeddings and neural networks

Real-time play recognition and classification algorithms are crucial for automating video production and live broadcasts of sporting …
Omar A. Mures, Javier Taibo, Emilio J. Padrón, Jose A. Iglesias-Guitian
PDF DOI
PlayNet: real-time handball play classification with Kalman embeddings and neural networks

Learning Crop Management by Reinforcement: gym-DSSAT

We introduce gym-DSSAT, a gym environment for crop management tasks, that is easy to use for training Reinforcement Learning (RL) …
Romain Gautron, Emilio J. Padrón, Philippe Preux, Julien Bitot, Odalric-Ambrym Maillard, Gerrit Hoogenboom, Julien Teigny
PDF Code Poster Slides
Learning Crop Management by Reinforcement: gym-DSSAT

Real-time classification of handball game situations

During the broadcast of sporting events, certain situations such as a penalty or a time-out occur, for which a specific action is …
Bruno Cabado, Bertha Guijarro-Berdiñas, Emilio J. Padrón
DOI
Real-time classification of handball game situations

gym-DSSAT: a crop model turned into a Reinforcement Learning environment

Addressing a real world sequential decision problem with Reinforcement Learning (RL) usually starts with the use of a simulated …
Romain Gautron, Emilio J. Padrón, Philippe Preux, Julien Bitot, Odalric-Ambrym Maillard, David Emukpere
Preprint Code DOI
gym-DSSAT: a crop model turned into a Reinforcement Learning environment

An out-of-core method for GPU image mapping on large 3D scenarios of the real world

Image mapping on 3D huge scenarios of the real world is one of the most fundamental and computational expensive processes for the …
Juan M. Jurado, Emilio J. Padrón, J. Roberto Jiménez, Lidia Ortega
PDF DOI
An out-of-core method for GPU image mapping on large 3D scenarios of the real world

Comparison of GPU-based Methods for Handling Point Cloud Occlusion

Three-dimensional point clouds have conventionally been used along with several sources of information. This fusion can be performed by …
Alfonso López, Juan Manuel Jurado, Emilio J. Padrón, Carlos J. Ogayar, Francisco Feito
PDF DOI
Comparison of GPU-based Methods for Handling Point Cloud Occlusion
See all publications

Tags

AI Bézier Surfaces Computer Graphics Crop management Data Analytics Deep Learning Flink GPU Handball Play Classification High Performance Data Analytics HPC Interactive Rendering Machine learning Numerical Simulation NURBS Point-based Rendering Real time Reinforcement learning Scientific Data Virtual Reality

Contact

  • +34-881016085
  • D3.15, Edificio Área Científica, Campus Elviña s/n, A Coruña, 15071
  • Tuesday 10:30 to 13:30
    Thursday 15:30 to 17:30
    Friday 10:30 to 13:30
    Otherwise email to book an appointment
  • DM Me
  • Telegram Me