Researcher in Digital Twins, Embedded Systems & Autonomous Vessels
Cássio J. D. Silva is an M.Sc. student in Computer Science at PUCRS (PPGCC), embedded systems research line, advised by Prof. Dr. César A. M. Marcon and co-advised by Prof. Dr. Anderson R. P. Domingues. Silva models autonomous unmanned surface vehicles as digital twins and tests the models against a proof of concept built on a custom application, as a CNPq DTI-C fellow on the Jundiá project at the Laboratory of Autonomous Systems. Earlier work covers fault injection in avionics software (AIM-FTA, ArduPilot SITL), machine learning for sleep apnea prediction (SleepSensing), mixed reality for mathematics education (LEPIMAT), Android NFC and RFID development at CEITEC, and business analytics at RCI.
Cássio J. D. Silva works where computing meets physical processes: embedded systems, sensing, telemetry, control, simulation environments, and digital twin architectures for monitoring and validation.
At the Laboratory of Autonomous Systems (LSA) Silva builds fault-tolerance benchmarks and ROS 2 integration for Jundiá, a simulation platform for autonomous vessels operating offshore. The master's research models those vessels as digital twins and validates the models against a proof of concept on a custom application.
At the Laboratory of Embedded Systems (LSE) Silva writes ETL pipelines and trains classifiers that predict obstructive sleep apnea from polysomnography, SpO₂, ECG and thoracic effort signals.
Earlier work injected faults into ArduPilot SITL to measure silent data corruption in the EKF3 estimator, developed mixed reality applications for inclusive mathematics education at LEPIMAT, analyzed facial expression data at the Virtual Humans Simulation Laboratory, produced Android applications for NFC and RFID tags at CEITEC S.A., and built business analytics at RCI.
M.Sc.
Modelling autonomous surface vessels as digital twins, validated through a proof of concept built on a custom application
N° 25/2025
Advanced simulation platform for autonomous vessels in offshore environments with digital twin support
407477/2022-5
Assessment, identification and mitigation of soft errors in avionics embedded software
FAPERGS
Obstructive sleep apnea prediction from biomedical signals through machine learning
LEPIMAT
Mixed reality applications for mathematics teaching, aimed at students who learn mathematics differently
Volunteer
Analytical exploration of facial expression data for the virtual humans group
Programa de Pós-Graduação em Ciência da Computação · PUCRS · full time
Digital twins applied to autonomous robotics on embedded systems.
Laboratory of Embedded Systems · PUCRS
Unpaid research on biomedical signal processing and machine learning for sleep apnea prediction.
Embedded Systems Laboratory · NSESD · PUCRS · internship
ETL pipelines and feature engineering for biomedical signals.
Laboratory of Autonomous Systems · PUCRS
Design, deployment and optimization of laboratory computing infrastructure.
Hardware Project Support Group · NSESD · PUCRS · part time
Hardware project support, simulation and test infrastructure.
Autonomous Systems Laboratory · NSESD · PUCRS · part time
Fault injection in ArduPilot SITL, silent data corruption analysis in EKF3, and the first work on the Jundiá simulation platform.
LEPIMAT · PUCRS · hybrid
Research and development of mixed reality applications for mathematics education, covering assistive technology and accessibility in digital learning environments.
Virtual Humans Simulation Laboratory · PUCRS
Analytical exploration of facial expression data.
RCI Analytics Intelligence · Porto Alegre · hybrid
Designed and maintained ETL processes for data extraction, transformation and loading, and built business analytics with SAP HANA, Pentaho Kettle, Tableau and IBM SPSS Modeler.
CEITEC S.A. · Porto Alegre · on site
Android applications for NFC and RFID devices in the BEM TE VI product line, reading and writing EPC Gen2 tags for livestock traceability, logistics, vehicle identification and authentication.
Pontifícia Universidade Católica do Rio Grande do Sul (PPGCC)
Embedded systems research line. Advisor: Prof. Dr. César A. M. Marcon. Co-advisor: Prof. Dr. Anderson R. P. Domingues.
Pontifícia Universidade Católica do Rio Grande do Sul
Final grade 10. Undergraduate thesis: Notas de Pesquisa sobre o Entscheidungsproblem, advised by Prof. Anderson R. P. Domingues.
QI Escolas e Faculdades
Emphasis on operating systems and programming languages.
During the undergraduate degree Silva joined the founding cohort of the Quantum Computing Academic League, served in the PUCRS Student Academic Directory, and carried out research across four PUCRS laboratories: Virtual Humans, Autonomous Systems, Embedded Systems, and Mathematics Learning Technologies.
The repositories on this GitHub account stay private, because they hold coursework governed by academic integrity rules and laboratory work governed by grant agreements. Public code from the laboratory appears in the lsa-pucrs organization. Write to the address below for access to a specific project.