• 🌱 Currently, I am assistant researcher in the High-Performance Computing Architectures and Systems (HPCAS) group through the SYCLOPS project at INESC-ID, Lisbon - Portugal.

• Formerly, I was an assistant professor in the Computing undergraduate courses at the University of Santa Cruz do Sul (UNISC). In addition, I was a Postdoctoral researcher in collaboration with the Microelectronics Group (GME) at the Federal University of Rio Grande do Sul (UFRGS).

• Academic background: I received a bachelor’s degree in computer engineering from UNISC in 2014, an M.Sc. degree in computer science (PPGC) from UFRGS in 2017, and a Ph.D. in Microelectronics (PGMICRO) from UFRGS in 2022.

• Experience: for the past seven years, I've been researching and developing tools involving the implementation and evaluation of reliable embedded systems based on resource-constrained devices. My research activity focuses on modeling and simulation of robust MPSoCs, deep learning approaches targeting accelerated HPC and IoT Edge devices, and performance modeling of emerging RISC-V architectures.

• 👀 I’m also interested in developing tools to enable the deployment of Machine Learning models in resource-constrained devices, IoT edge, and aerospace environments while further exploring the soft error reliability of such an approach when considering the fault impact in both the system execution and the memory elements. Moreover, I am also interested in the modeling of virtual platform architectures, networks-on-chip, and multiprocessor platforms.

• I’m looking to collaborate on research and development of Machine Learning models, soft error reliability, resource-constrained and HPC RISC-V-based architectures, IoT systems, MPSoCs, parallel processing, and embedded systems.

Software/Code

Hardware/Virtual Platforms