Research Line: Computational Intelligence and Data Science
Professors:
- Claudomiro de Souza de Sales Junior
- Felipe de Oliveira Saraiva
- Lídio Mauro Lima de Campos
- Jeffersom Magalhães de Morais
- Nelson Cruz Sampaio Neto
- Gustavo Pessim
- Reginaldo Cordeiro dos Santos Filho
- Ronnie Cley de Oliveira Alves
- Vinicius Augusto Carvalho de Abreu
This research line focuses on the study and development of advanced computational methods for modeling, analyzing, and solving complex problems. Its researchers explore techniques in artificial intelligence, machine learning, data mining, data science, large language models (Large Language Models), advanced statistics, model interpretation (Explainable AI), chain of thought (Chain of thought), optimization, metaheuristics, and hyperheuristics, applying this knowledge in areas such as health, security, education, bioinformatics, business, environment, and intelligent systems.
Additionally, the research investigates the creation and application of algorithms for knowledge extraction from large volumes of data, enabling predictions, decision support, and the discovery of non-trivial information. The line also addresses ethical practices in the use of artificial intelligence and data, honesty in information visualization, and contemporary challenges associated with AI.
Researchers in this line are trained to develop new artificial intelligence models, always guided by scientific rigor and ethics, ensuring compliance with legislation related to the use of public and private databases. The ultimate goal is to train professionals capable of addressing the challenges and opportunities of data science and computational intelligence responsibly, without bias, and innovatively.
Research Line: Computing Systems
Professors:
- Antônio Jorge Gomes Abelém
- Aldebaro Barreto da Rocha Klautau Jr
- André Figueira Riker
- Denis Lima do Rosário
- Eduardo Coelho Cerqueira
- Helder May Nunes da Silva Oliveira
- Marcos Tulio Amaris González
- Roberto Samarone dos Santos Araújo
- Josivaldo de Souza Araújo
This research line addresses topics in Computer Networks, High-Performance Computing, and Cybersecurity. Regarding Computer Networks, researchers focus on developing solutions for the Internet of Things, Vehicular Networks, Software-Defined Networks, 5G and 6G mobile networks, Open RAN, Blockchains, Federated Learning, Secure Machine Learning, and the detection and mitigation of network attacks.
Regarding High-Performance Computing, researchers develop research in the area of Parallel Programming Teaching, Performance Analysis, Sustainability in HPC and Cloud Platforms, Study and Development of Parallel Codes in Parallel Architectures.
In Cybersecurity, research involves various topics such as cryptography, cryptographic protocols, secure digital voting, E-Health, Blockchain, and the privacy and security of applications.
Research Line : Software Engineering and Interaction
Professors :
- Cleidson Ronald Botelho de Souza
- Fabiola Pantojo Oliveira Araújo
- Gustavo Henrique Lima Pinto
- Marcelle Pereira Mota
- Sandro Ronaldo Bezerra Oliveira
- Victor Hugo Santiago Costa Pinto
The Software Engineering and Interaction research line investigates methods, techniques, and tools for the development, evaluation, and improvement of software systems, considering technical, human, and social aspects. It covers topics such as requirements, architecture, quality, implementation, as well as methods for designing and evaluating interactive systems.
The software engineering area focuses on new methods and techniques for software development, tools for building software, and empirical studies of software engineering work. Thus, this area aims to investigate and develop methods, techniques, and tools related to software system development, concerning the different activities of the software engineering process.
In the Human-Computer Interaction (HCI) area, the interaction between people and computational artifacts is investigated. It is an interdisciplinary area because it involves all aspects related to the interaction between users and computer systems, supporting research in various fields related to Computing, Social Sciences, and Humanities. HCI research aims to provide explanations for user-system interaction phenomena, in addition to results for interaction design.
Additionally, the line includes studies on collaboration, usability, user experience (UX), and the social and ethical impact of computational systems. Projects developed in this line seek to provide innovative and sustainable solutions to real-world challenges, contributing to the advancement of research and practical application in various contexts.