About / Short Bio

Fernanda Lima Kastensmidt holds a degree in Electrical Engineering from the Federal University of Rio Grande do Sul (1997), a Master's in Computer Science from the Federal University of Rio Grande do Sul (1999) and a PhD in Computer Science from the Federal University of Rio Grande do Sul (2003) . Fernanda is a Full Professor at the Federal University of Rio Grande do Sul and she was Coordinator of the Graduate Program in Microelectronics (PGMICRO) for 4 years and was head of the Department of Applied Informatics for 2 years. He has experience in the area of Microelectronics and Computer Engineering, with an emphasis on Hardware, he has worked mainly on the following topics: radiation fault protection techniques, fault-tolerant system design, programmable architecture, FPGA, qualification of systems and integrated circuits under faults and fault modeling. She is the author of the book Fault Tolerance Techniques for SRAM-based FPGAs published in 2006 by Springer and co-author of more than 3 scientific books. Participate in the payload project of the NanoSat-BR1 satellite that was launched in June 2014 and in the NanoSat-BR2 where part of the payload is responsible for analyzing the effects of SAA on Integrated Circuits manufactured in nanometric technology launched in 2021.

Contact Info

E-mail

fglima at inf.ufrgs.br

Teaching Activities

Undergraduate course

01058

Circuitos Digitais

Undergraduate course

01107

Introdução a Arquitetura de Computadores

Undergraduate course

01175

Sistemas Digitais

Graduate course

MIC58

Teste e Confiabilidade de Sistemas de Hardware

Research Areas

Projeto de Sistemas Tolerantes à Falhas
Projeto de sistemas digitais multi processados e em APSoC tolerantes a falhas transientes (SEU e SET) usando técnicas de mitigação em software e em hardware.

Qualificação de Sistemas sob radiação
Metodologia e teste de sistemas complexos sob radiação (neutron, ions pesados, e protons) e metodologia de injeção de falhas para caracterizar sistema sob falhas

APSoC compostos por Chiplets
Projeto de chiplets para IoT e IA