Professor Emeritus of Computer Science
6,728
Total Citations
27
h-index
77
i10-index
Last updated: February 2026
My research career began in computer architecture and high-performance processing during my undergraduate studies in Electronic Engineering at UFRJ, through undergraduate research at the Systems Laboratory of the Graduate Program in Systems and Computer Engineering (PESC) at COPPE/UFRJ. My undergraduate project, developed within PESC, was the first parallel machine developed in Brazil.
During my master's degree at COPPE, I conducted research in computer architecture and high-performance processing, being one of the designers of the NCP-1 supercomputer - Brazil's first supercomputer. In the same period, I had my first contact with artificial intelligence in general and neural networks in particular, topics to which I would later dedicate myself.
In 1993, I joined UFES as a professor. From 1996 to 1999, I completed my PhD at University College London, UK, where I proposed the processor architecture called Dynamically Trace Scheduled VLIW (DTSVLIW). Upon returning, in 2002, I created the High-Performance Computing Laboratory (LCAD), which I coordinated until 2019, when I retired and began serving officially as a volunteer professor at UFES.
From the end of my doctorate to the present, I have contributed to the university in various capacities, including Coordinator of the Graduate Program in Informatics (PPGI), Coordinator of the Doctoral Program Creation Commission (created in 2010), Director of the Institute of Technology, Vice-Director of the Technology Center, Dean of Planning and Institutional Development, and Research Director of the university. In 2023, I was awarded the title of Professor Emeritus of UFES.
From the late 2000s, I began to dedicate myself more intensely to AI, neural networks, and their applications in autonomous robotics and other areas. I served as Paper Submission Chair of the IEEE World Congress on Computational Intelligence 2018 (WCCI'2018) and Director of I2CA. My highest-impact scientific articles are from these areas.
Convolutional Neural Networks, Transformers, Generative AI
Neural-Symbolic Integration, Knowledge Graphs, Ontologies
Self-Driving Cars, Computer Vision, Sensor Fusion
Genomic Transformers, Aging Biomarkers, Epigenetics
My current research focuses on developing neurosymbolic AI platforms for analyzing genomic data from humans and model species, aiming to identify biomarkers genetically and epigenetically associated with both healthy longevity and age-related diseases. This work combines the predictive capacity of deep neural networks with the interpretability provided by symbolic reasoning, ontologies, and biological knowledge graphs.
The methodological strategy integrates state-of-the-art deep learning architectures, such as long-context genomic transformers (Enformer, AlphaGenome), trained with multi-species data and validated through a symbolic module based on ontologies and biological knowledge graphs. This approach aims to produce biologically interpretable discoveries that could contribute to understanding molecular mechanisms and developing future therapeutic interventions.
C. Badue, R. Guidolini, R.V. Carneiro, P. Azevedo, V.B. Cardoso, A. Forechi, L. Jesus, R. Berriel, T.M. Paixão, F. Mutz, L.P. Veronese, T. Oliveira-Santos, A.F. De Souza
Expert Systems with Applications, Vol. 165, 2021
A.T. Lopes, E. de Aguiar, A.F. De Souza, T. Oliveira-Santos
Pattern Recognition, Vol. 61, pp. 610-628, 2017
L. Tabelini, R. Berriel, T.M. Paixão, C. Badue, A.F. De Souza, T. Oliveira-Santos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 294-302, 2021
L. Tabelini, R. Berriel, T.M. Paixão, C. Badue, A.F. De Souza, T. Oliveira-Santos
International Conference on Pattern Recognition (ICPR), pp. 6150-6156, 2021
J.R. Correia-Silva, R. Berriel, C. Badue, A.F. De Souza, T. Oliveira-Santos
International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2018
The most advanced autonomous vehicle in the Southern Hemisphere. IARA made an unprecedented autonomous journey from Vitória to Guarapari (74 km). The project includes over 13 million lines of open-source code.
View on GitHubDevelopment of the world's first autonomous taxiing system for passenger jet aircraft, in partnership with Embraer. This groundbreaking project is now part of aviation history.
World First AchievementNeurosymbolic Genomics
Developing a neurosymbolic AI platform for identifying genetic and epigenetic biomarkers associated with healthy longevity and age-related diseases. Combines genomic transformers with biological knowledge graphs.
View on GitHubDeep Tech Startups
Co-founder of three deep tech startups born at LCAD, collectively employing over 150 people:
Universidade Federal do Espírito Santo (UFES)
3rd place - Innovative Researcher Category
State Council of Science and Technology - ES
Amazon Inc.
DARPA - Defense Advanced Research Projects Agency
Institute of Electrical and Electronics Engineers
IARA on Globo TV
National television coverage
First Brazilian Electric Autonomous Car
Partnership LCAD/UFES - Lume Robotics
DARPA Virtual Robotics Challenge
12th place worldwide
Interested in collaboration, research opportunities, or have questions about our work? Feel free to reach out.