Important Dates

  1. Paper submissions (final call for papers): April 29th, 2023 May 29th, 2023
  2. Theses Contest Deadline: July 7th, 2023
  3. Notification of acceptance: July 1st, 2023
  4. Final paper submission: July 29th, 2023

Keynote and Tutorial Speaker

Dr. Efrén Mezura-Montes is a full-time researcher with the Artificial Intelligence Research Institute at the University of Veracruz, MEXICO. His research interests are designing, analyzing, and applying bio-inspired algorithms to solve complex optimization problems.


Prof. Efrén Mezura-Montes

Dr. João Gama is a Full Professor at the School of Economics, University of Porto, Portugal. He received his Ph.D. in Computer Science from the University of Porto in 2000. He is EurIA Fellow, IEEE Fellow, Fellow of the Asia-Pacific AI Association, and member of the board of directors of the LIAAD, a group belonging to INESC Tec.


Prof. João Gama

Dr. Sarfaraz Hashemkhani Zolfani is an associate professor at the School of Engineering, Universidad Catolica del Norte, Coquimbo campus, Chile. He is also a visiting professor at the University of Portsmouth under the Isambard Kingdom Fellowship Scheme.


Prof. Sarfaraz Hashemkhani Zolfani

Mariana Macedo is currently a postdoctoral fellow at the Center for Collective Learning and Natural Intelligence Institute (ANITI) led by Dr. César Hidalgo. Her research is divided into Human Behaviour and Explainable & Applied AI. In Human Behaviour, she creates platforms, collects and analyses data, and identifies patterns. In Explanaible and Applied AI, she develops new algorithms, studies and applies them to real-world problems and classifies them based on performance and patterns.


Prof. Mariana Macedo

Peter the Chair position in Complex and Adaptive Systems at the School of Computer Science, University of Birmingham, UK. His interests span machine learning, neural computation, probabilistic modelling and dynamical systems. Peter is fascinated by the possibilities of cross-disciplinary blending of machine learning, mathematical modelling and domain knowledge in a variety of scientific disciplines ranging from astrophysics to bio-medical sciences.


Prof. Peter Tino

Pablo Barros is a senior machine learning scientist at the Sens. AI research team at Sony, focusing on physiological and social signal processing applied to mental health solutions. Pablo holds a Ph.D. in computer science from the University of Hamburg, in Germany, and has worked at the Italian Institute of Technology as an associated researcher. Over the last few years, has worked on different projects involving social robotics, affective computing, and representation learning.


Prof. Pablo Barros

Patricia Takako Endo is currently an Associate Professor at the University of Pernambuco. She obtained her PhD in Computer Science from the Federal University of Pernambuco (UFPE) and did her postdoctoral work at Dublin City University (DCU), Ireland. She is a lead researcher at the dotLAB Brazil research group and has been developing projects in Artificial Intelligence & Health


Prof. Patricia Takako Endo

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