View of the LabCompAp workspace

Universidade Federal Rural da Amazônia (UFRA) — Campus Paragominas

LabCompAp

Applied Computing Laboratory

Applied computing research for the Amazon

About

Applied Computing Laboratory

The Applied Computing Laboratory (LabCompAp) is the physical space dedicated to the computing activities of the Applied Computing Research Center (NPCA) at the Federal Rural University of the Amazon (UFRA), Paragominas campus.

The laboratory supports research in computational intelligence, computational biology, bioinformatics, and agricultural informatics.

Institution
Universidade Federal Rural da Amazônia (UFRA)
Campus
Campus Paragominas
Founded
July 26, 2024

Research areas

Three areas concentrate the laboratory's research lines.

Bioinformatics

Computational methods applied to biological, genomic, and metagenomic data.

Computational Intelligence

Artificial intelligence and machine learning models for complex problems.

Computational Biology

Modeling and simulation of biological systems with computational tools.

Techniques and expertise

Techniques and methods used throughout our research.

  • AI / Machine Learning
  • Data Science
  • Bioinformatics
Deep LearningData ScienceTime-Series ForecastingArtificial Neural NetworksComputer Vision and Deep LearningBioinformatics Analysis of NGS DataMachine LearningData AnalysisMetagenomic AnalysisGenomic AnalysisTranscriptome AnalysisComputer Vision Algorithm TrainingData WarehousingLLMs (Large Language Models)Bioinformatics and MultiomicsData MiningGenerative AIBig Data AnalysisTransfer LearningOmics Analysis

Equipment and infrastructure

Equipment and resources available in the laboratory. 23 catalogue entries.

Noturno — high-performance server

Quantity
1

HPE · ML3502 × Intel Xeon Silver 4210R; 128 GB RAM; 4 × 4 TB HDD in RAID 5.

Xavier — high-performance server

Quantity
1

UPD SYS-620P-TR2 × Intel Xeon Silver 4310; 256 GB ECC RAM; 2 × 14 TB HDD.

Ciclope — Apple iMac

Quantity
1

Apple · iMac M3Apple M3; 24 GB unified memory; 2 TB SSD.

Magneto — high-performance server

Quantity
1

2 × Intel Xeon Gold 5520+; 768 GB RAM; 2 × NVIDIA RTX 6000 Ada with 48 GB each.

Fênix — multisensor drone

Quantity
1

Spectral 2 Nuvem UAVRGB mapping, multispectral and thermal sensors.

SMS Net4 UPS

Quantity
2

SMS · Net4 1800VA1800 VA power rating.

SMS Power Sinus UPS

Quantity
2

SMS · Power Sinus 3200VA3200 VA power rating.

ASUS VivoBook Go 15 laptop

Quantity
3

ASUS · E1504FA-NJ732AMD Ryzen 5 7520U; 8 GB RAM; 512 GB SSD; 15.6-inch Full HD display.

Samsung Galaxy Tab S10 FE tablet

Quantity
1

Samsung · Galaxy Tab S10 FE8 GB RAM; 128 GB storage; 10.9-inch display; S Pen.

Laser multifunction printer

Quantity
2

HP · Neverstop 1200WLaser printing and Wi-Fi connectivity.

Acer A515-54G-55HW laptop

Quantity
4

Acer · A515-54G-55HWIntel Core i5; 8 GB RAM; 256 GB hard drive.

Acer A515-56-55LD laptop

Quantity
2

Acer · A515-56-55LDIntel Core i5; 8 GB RAM; 256 GB SSD.

Lenovo IdeaPad laptop

Quantity
1

Lenovo · IdeaPadIntel Core i3; 4 GB RAM; 256 GB SSD.

TP-Link Archer C80 router

Quantity
1

TP-Link · Archer C80Gigabit wireless router.

HPE Aruba switch

Quantity
1

HPE ArubaNetwork switch.

Mini multimedia projector

Quantity
1

Multimedia projection.

Toshiba external hard drive — 2 TB

Quantity
1

Toshiba2 TB external storage.

Toshiba external hard drive — 4 TB

Quantity
1

Toshiba4 TB external storage.

Workbench-style desk

Quantity
6

Student workstation.

Workstation chair

Quantity
9

Student workstation seating.

Double-door cabinet

Quantity
4

Laboratory storage.

Wooden shelf

Quantity
3

Laboratory storage and organisation.

Server desk and chair set

Quantity
1

One desk and one chair.

Location

Institutional location of the laboratory.

The map shows UFRA's Paragominas campus, where LabCompAp is located.