LABICOM
O Laboratório de Pesquisa em Inteligência Computacional é parte do Grupo de Pesquisa em Computação Cognitiva Aplicada (COCA) e está vinculado ao Programa de Pós-graduação em Computação Aplicada (PPGCA) da Universidade do Estado de Santa Catarina (UDESC, Joinville - SC, Brasil).
The Computational Intelligence Research Laboratory is part of the Applied Cognitive Computing Research Group and is linked to the Graduate Programm in Applied Computing from the Santa Catarina State University (UDESC, Joinville - SC, Brazil).
People
- Rafael Stubs Parpinelli (Head/Coordinator)
Cooperation network of current projects:
- Heitor Silvério Lopes (UTFPR - CV Lattes - BIOINFO-IC)
- Márcio Dorn (UFRS - CV Lattes - SBCB Lab)
- Adriano Fiorese (UDESC/DCC - CV Lattes)
- Chidambaram Chidambaram (UDESC/DEPS/COCA - CV Lattes)
- Fabiano Baldo (UDESC/DCC - CV Lattes)
- Gilmário Barbosa dos Santos (UDESC/DCC - CV Lattes)
- Douglas Wildgrube Bertol (UDESC/DEE - CV Lattes)
- Yuri Kaszubowski Lopes (UDESC/DCC/COCA - CV Lattes)
- Hospital de Olhos Sadalla Amin Ghanem (HOSAG) - Studies, Research and Innovation Center
- ArcelorMittal VEGA - Products and Processes Research and Innovation Group
- Federação Unimed Santa Catarina UNIMED/SC - Studies, Research and Innovation Group
Graduate Students (PhD):
- Mateus Boiani (UFRS) - Advisor: Márcio Dorn - Co-advisor: Rafael S. Parpinelli
Graduate Students (MSc):
- Bernard Silva - Advisor: Rafael S. Parpinelli
- Krigor Rosa - Advisor: Rafael S. Parpinelli
- Maísa Fernandes Gomes - Advisor: Rafael S. Parpinelli
- Vinícius Geremias - Advisor: Rafael S. Parpinelli
Undergraduate Students:
- Ana Athayde - Advisor: Rafael S. Parpinelli
- Lucas Gonçalves Erdmann - Advisor: Rafael S. Parpinelli
- Otávio Augusto Almeida - Advisor: Rafael S. Parpinelli
- Pedro Serpa - Advisor: Rafael S. Parpinelli
- Thiago Brandenburg - Advisor: Rafael S. Parpinelli
Former students.
Research Projects
The research projects are related but not limited to the following topics:
- Development and enhancement of optimization algorithms
- Applications of Evolutionary Computation and Swarm Intelligence
- Deep Learning
- Computer Vision
- Bioinformatics
- Internet of things
- Machine Learning
- Multi/Many Objectives Optimization
- Multimodal Optimization
- High-performance Computing
Laboratory Facilities
- Workstations: AMD Ryzen 7 2700X, 3.7GHz/4.35GHz, 16 CPUs, 16GB RAM, 1TB HD, 240GB SSD, GeForce RTX 2060 Super (Turing architecture, 2176 CUDA Cores, 240 Tensor Cores, 34 RT Cores, 8GB GDDR6, 448 GB/s Total Memory Bandwidth, 52 Tflops ML).
- Node 01: Dell PowerEdge R650, Intel(R) Xeon(R) Gold CPU 6330N, 2.20GHz, 56 CPUs, 64GB RAM, 5TB SSD.
- Node 02: Intel(R) Xeon(R) CPU E7-8860, 2.27GHz, 80 CPUs, 1.3TB RAM, 1.7TB SAS.
- Node 03: Intel(R) Xeon(R) CPU E7-8860, 2.27GHz, 80 CPUs, 1.3TB RAM, 300GB SAS.
- Node 04: Intel(R) Core(TM) i9-9900K, 3.60GHz, 16 CPUs, 64GB RAM, 2TB HD, 530GB SSD.
- Titan V GPU: Volta architecture, 5120 CUDA cores, 640 Tensor Cores, 12 GB HBM2, 652.8 GB/s Total Memory Bandwidth, 14,9 Tflops FP32, 110 Tflops ML. Thanks to the NVIDIA Hardware Grant Program.
The available infraestructure is under update.
Several projects developed at LABICOM have source code available to download in the link above.
Address
Laboratório de Pesquisa em Inteligência Computacional - LABICOM
CCT-UDESC
Rua Paulo Malschitzki, 200
Zona Industrial Norte, Joinville - SC, Brazil
CEP: 89.219-710