Pablo Arnau González | Artificial Intelligence | Best Researcher Award

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Dr. Pablo Arnau González, Artificial Intelligence, Best Researcher Award

Doctorate at Universidad de Valencia, Spain

Summary:

Dr. Pablo Arnau González is a researcher with expertise in artificial intelligence and machine learning. He has made significant contributions to the fields of sentiment analysis, affective computing, and biometrics. Dr. González has conducted research on adapting conversational toolkits for sentiment analysis tasks and developing methodologies for identifying affect levels from EEG signals and visual stimuli. He has also contributed to the development of adaptive intelligent tutoring systems. With a background in computing and artificial intelligence, Dr. González has published several papers in reputable conferences and journals.

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👩‍🎓Education & Qualification:

PhD in Computing and Artificial Intelligence

  • University of the West of Scotland, 2020

Graduado o Graduada en Ingeniería Informática de Gestión y Sistemas de Información

  • Universitat de València, 2015

Professional Experience:

Dr. Pablo Arnau González has a diverse professional background, including positions in consulting, industry, and academia. Here is a summary of his previous professional positions:

  • 2022 – 2023: Postdoctoral Fellow (Margarita Salas) at Universitat de València.
  • 2021: Senior Consultant at SDG Consulting.
  • 2019 – 2021: Analyst at Cecotec Innovaciones, S.L.
  • 2019: Technologist in Digital Health at the University of the West of Scotland.

Research Interest:

Artificial Intelligence: Exploring AI algorithms and techniques for various applications such as sentiment analysis, affective computing, and intelligent tutoring systems.

Machine Learning: Investigating machine learning models and methodologies for processing EEG signals and visual stimuli to identify affect levels and subject identification.

Natural Language Processing: Adapting conversational toolkits and architectures for tasks like sentiment analysis, chatbots, and conversational agents.

Biometrics: Researching the use of EEG signals and image-evoked affect for biometric authentication and identification systems.

Adaptive Intelligent Tutoring Systems: Developing systems that can assess affective and behavioral responses to adaptively tailor educational content and interactions.

Publication Top Noted:

On adapting the DIET architecture and the Rasa conversational toolkit for the sentiment analysis task

  • Authors: M Arevalillo-Herráez, P Arnau-González, N Ramzan
  • Journal: IEEE Access
  • Year: 2022
  • Volume: 10
  • Pages: 107477-107487
  • Citation count: 11

A Method to Identify Affect Levels from EEG signals using two-dimensional Emotional Models

  • Authors: P Arnau-González, N Ramzan, M Arevalillo-Herráez
  • Conference: The 2016 European Simulation and Modelling Conference
  • Year: 2016
  • Pages: 299-303
  • Citation count: 8

Image-evoked affect and its impact on EEG-based biometrics

  • Authors: P Arnau-González, S Katsigiannis, M Arevalillo-Herráez, N Ramzan
  • Conference: 26th IEEE International Conference on Image Processing
  • Year: 2019
  • Citation count: 7

Single-channel EEG-based subject identification using visual stimuli

  • Authors: S Katsigiannis, P Arnau-González, M Arevalillo-Herráez, N Ramzan
  • Conference: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics
  • Year: 2021
  • Citation count: 5

Affective and Behavioral Assessment for Adaptive Intelligent Tutoring Systems

  • Authors: L Marco-Giménez, M Arevalillo-Herráez, FJ Ferri, S Moreno-Picot, …
  • Conference: UMAP (Extended Proceedings)
  • Year: 2016
  • Citation count: 5