Jose C. Principe is a Professor at the University of Florida, where he heads the Computational NeuroEngineering Laboratory (CNEL). His research spans time series analysis, information theoretic learning, and AI cognitive architectures. Dr. Principe is a recipient of esteemed awards like the IEEE Neural Network Pioneer Award and IEEE Shannon Nyquist Technical Achievement Award. He has authored numerous publications and supervised many Ph.D. and master's students.
Prof. Jose C. Principe
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Teresa B. Ludermir is a Full Professor and AI Group head at Universidade Federal de Pernambuco, Brazil. She holds a Ph.D. in Neural Networks from Imperial College London and has published extensively on AI topics, with a focus on responsible AI, weightless Neural Networks, hybrid neural systems, and automated machine learning. She is a senior member of IEEE and INNS.
Prof. Teresa B. Ludermir
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. 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. 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.
Dr. Mariana Macedo
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.
Dr. 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
Doreen Jirak is a computer scientist specializing in artificial neural networks and human-robot interaction. She holds a PhD in Computer Science and focuses on developing natural interactions with social robots. Currently, she conducts research at the Istituto Italiano di Tecnologia (IIT), with a particular emphasis on safety and ergonomics in human-robot collaboration.
Dr. Doreen Jirak
Isabela Albuquerque is a research scientist at Google DeepMind specialized in improving learning systems' generalization. She introduced domain-invariant representation techniques, enhanced out-of-distribution generalization using generative models, and automated machine learning model debugging. She's also dedicated to promoting diversity in science, championing inclusion in machine learning research.
Dr. Isabela Albuquerque