Ricardo dos Santos Ferreira
Possui Bacharelado em Física pela Universidade Federal de Minas Gerais (1990), mestrado em Ciências da Computação pela Universidade Federal de Minas Gerais (1994), Doutorado em Microeletrônica pela Universite Catholique de Louvain, Bélgica (1999) e Pós-doutorado na Universidade TU Delft, Holanda (2013). Professor do Departamento de Informática da Universidade Federal de Viçosa desde de 1992. Áreas de interesse: Java, Hardware Reconfigurável, Coarse-grained Reconfigurable Architectures (CGRA) e FPGA, Interconexões, Escalonamento, Posicionamento e Roteamento, Bioinformática, Grafos, Arquiteturas de Computadores, Sistemas de Alto Desempenho, Sistemas Embarcados, GPU.
Projetos
Orientações em Andamento
Publicações Recentes
COSTA PENHA, JERONIMO et al. Gene regulatory accelerators on cloud FPGA. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. e7822, p. 1-22, 2023.
FAGUNDES'JUNIOR, LEONARDO et al. High-performance graphics processing unit-based strategy for tuning a unmanned aerial vehicle controller subject to time-delay constraints. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. e7767, p. 1-22, 2023..
FAGUNDES-JUNIOR, LEONARDO A. et al. Machine Learning for Unmanned Aerial Vehicles Navigation: An Overview. SN Computer Science, v. 5, p. 1-15, 2024.
LIMA, HELENA SANTIAGO et al. Machine learning-based soil quality assessment for enhancing environmental monitoring in iron ore mining-impacted ecosystems. JOURNAL OF ENVIRONMENTAL MANAGEMENT, v. 356, p. 120559, 2024.
OLIVEIRA, WESTERLEY C. et al. Heterogeneous reconfigurable architectures for machine learning dataflows. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 35, p. e6939, 2022.
SILVA, L. B. et al. Fast Flow Cloud: A Stream Dataflow Framework for Cloud FPGA Accelerator Overlays at Runtime. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 35, p. e6977, 2022.