01 · VR
Virtual Reality
Immersive environments for learning, training, and simulation.
AixCAVE & miniCAVE — Germany / BrazilFederal University of Espírito Santo
Extended Reality and Intelligent Models Laboratory
REMI conducts multidisciplinary research in extended reality, artificial intelligence, human–computer interaction, and applied computational models.
01 / ABOUT
The laboratory
About REMI
The Extended Reality and Intelligent Models Laboratory — REMI — develops technologies that combine virtual, augmented, and mixed reality with artificial intelligence and advanced computational models.
We investigate new frontiers in immersive and interactive environments, creating solutions that improve human–machine interaction in education, healthcare, entertainment, and training.
Research lines
Research
areas.
From interface design to intelligent data analysis, we work across the entire chain of immersive experiences.
02 · AR
Augmented Reality
Integration of digital content and the physical environment.
KinesiOS03 · AI
Intelligent Models
Data analysis, autonomous decision-making, and personalization.
BSN — example04 · HCI
Human–Computer Interaction
Interfaces and interaction methods in virtual and physical environments.
miniCAVE05 · ST
Simulation and Training
Extended reality applied to professional training and education.
Demonstration at Instituto NeuronTeam
Laboratory
members.
Coordinator and students with ongoing supervisions recorded in the academic CV.
Coordinator
Diego Roberto Colombo Dias
Associate Professor in the Department of Statistics at the Federal University of Espírito Santo. Works on virtual and augmented reality, artificial intelligence, networks and distributed systems, and computer graphics.
diego.dias@ufes.brResearchers
Marcelo de Paiva Guimarães
Professor · Federal University of São Paulo (UNIFESP)
Graduate students
Heitor Coitinho Quartezani
Master's · Enrolled 2026/01
Magno Macedo de Oliveira
Master's in Informatics · Started 2025
Isabela Crespo
Master's in Informatics · Started 2025
Antonio Borssato
Federated learning, Kubernetes, and edge computing · Started 2024
Lucas Oliveira Alves
Language models and synthetic data for neuromotor rehabilitation · Started 2024
Undergraduate research
Lucas Dantas Brandão
Electrical Engineering · Synthetic data generation for motor rehabilitation with LLMs and LoRA · Started 2025
Diana Mello Rosi
Computer Engineering · Conventional cameras for motor analysis in Alzheimer's disease · Started 2025
Camila Oliveira Signor
Statistics and Data Science
TCC
No ongoing supervisions recorded.
05research
lines
lines
15recent
publications
publications
6journal
articles
articles
04application areas:
education, health,
entertainment, training
education, health,
entertainment, training
Scientific output
Recent
publications.
Review-Aware Recommender Systems (RARSs): Recent Advances, Experimental Comparative Analysis, Discussions, and New Directions
Bittencourt, G.; Vasconcelos, N.; Andrade, Y.; Silva, N. C.; Cunha, W.; Dias, D. R. C.; et al.
ACM Computing Surveys · v. 58 · p. 1–49Do Aprendizado Centralizado ao Federado: O Que Acontece com a Explicabilidade dos Modelos?
Trindade, D. R.; Zambon, E.; Villaça, R. S.; Dias, D. R. C.; Comarela, G.
44th Brazilian Symposium on Computer Networks and Distributed Systems (SBRC) · p. 659–672Are federated and centralized models alike? A comparative study via XAI
Borssato, A. V. O.; Trindade, D. R.; Comarela, G. V.; Zambon, E.; Mota, V. F. S.; Dias, D. R. C.
22nd DCOSS-IoT · Reykjavik · p. 1131FlowMIA: Membership Inference Attack on Generative Network Flow Models
Brotto, G. S. G.; Ribeiro, I. F.; Comarela, G.; Drago, I.; Dias, D. R. C.; Mota, V. F. S.
22nd DCOSS-IoT · Reykjavik · p. 1243A Multidimensional Quality Assessment of Synthetic Movement Data for Post-Stroke Rehabilitation
Ferreira, A. P. A.; Alves, L. O.; Molinares, F. A. F.; Guimarães, M. P.; Mota, V. F. S.; Rocha, L.; Dias, D. R. C.
ICCSA 2026 · Braga · p. 233–250Zero-Shot LLM Sentiment Meets Market Microstructure: Parsimonious Feature Selection for High-Frequency Bitcoin Forecastings
Moraes, L. A.; Marques, D.; Nojiri, L.; Albergaria, E. T.; Dias, D. R. C.; Mota, V. F. S.; Guimarães, M. P.; Rocha, L.
ICCSA 2026 · Braga · p. 569–583Evaluating Segmentation and Temporal Resolution in Highway Crash Forecasting: The BR-040 Corridor
Tozetto, J. P.; Nunes, I.; Soares, B.; Albergaria, E. T.; Dias, D. R. C.; Mota, V. F. S.; Rocha, L.
ICCSA 2026 · Braga · p. 584–600Semantic Noise Filtering in Post-Stroke Kinematic Data: An Automated Deep Learning Approach
Kwon, V. Y. K.; Rodrigues, L. G. S.; Zamprogno, B.; Guimarães, M. P.; Rocha, L.; Zambon, E.; Mota, V. F. S.; Dias, D. R. C.
ICCSA 2026 · Braga · p. 601–617A Machine Learning Approach for an End-to-End Music Inpainting Pipeline
Romão, G.; Albergaria, E. T.; Dias, D. R. C.; Almeida, M. A.; Mota, V. F. S.; Rocha, L.
ICCSA 2026 · Braga · p. 629–638Hierarchical edge-cloud scheduling for sustainable education under limited connectivity
Guimarães, M. P.; Dias, D. R. C.; Cavalcante, R. C.; Dantas, L. H. A.; Fontes, A. I. R.; Vieira, T. M. A.
12th International Conference on eDemocracy & eGovernment — ICEDEG 2026 · LisboaExploring transparency: A comparative analysis of explainable artificial intelligence techniques in retinography images to support the diagnosis of glaucoma
Vieira, C.; Rocha, L.; Guimarães, M.; Dias, D.
Computers in Biology and Medicine · v. 185 · 109556Immunization thresholds to change the overall level and the effect of cases on deaths by COVID-19 in pregnant and postpartum women
Sarnaglia, A. J. Q.; Godoi, L. G.; Monroy, N. A. J.; Molinares, F. A. F.; Zamprogno, B.; Dias, D. R. C.; Rodrigues, A. S.
Environmental Research · v. 271 · 121047Are the current topic modeling evaluation metrics enough? Mitigating the limitations using a multi-perspective game theoretic approach
Pereira, A.; Viegas, F.; Dias, D. R. C.; Tuler, E.; Machado, A. C.; Fonseca, G.; Gonçalves, M. A.; Rocha, L.
Knowledge-Based Systems · 113634Uso da biometria facial para o controle de benefícios e gratuidades no Transporte Público Coletivo: um estudo de caso na cidade de Ilhéus
Barbosa Sobrinho, M.; Correa, F.; Soares, A. N.; Ribeiro, J. S. A. N.; Dias, D. R. C.
Revista Transporte y Territorio · v. 30 · p. 149–157Disruption of exploratory behavior and olfactory memory in cockroaches exposed to sublethal doses of the neonicotinoid Thiamethoxam
Ferreira, L. C.; Rosa, M. E.; Rodrigues, L. G. S.; Dias, D. R. C.; et al.
Pesticide Biochemistry and Physiology · 106167Networked research
Partnerships and
collaboration
REMI collaborates with academia, industry, and government to generate social and economic impact through innovation and applied research.
Address
Federal University of Espírito Santo (UFES)
Goiabeiras University Campus
Av. Fernando Ferrari, 514
Technology Center (CT), Building CT-13, Room 16
Goiabeiras
Vitória – ES, Brazil
29075-910