Bruno Tiago da Silva Gomes obtained a Ph.D. degree in Engineering Sciences from Vrije Universiteit Brussels (VUB) and a Ph.D. degree in Computer Science Engineering from Universiteit Gent (UGent) in August 2019.
During his Ph.D. he investigated performance strategies to exploit Field-Programmable Gate Arrays (FPGAs) for high-performance applications and proposed novel architectures for power-efficient embedded solutions. While doing his Ph.D., he did an internship at Altera (now Intel) extending the FPGA’s tools capabilities. Since October 2019, he is a guest professor at the Department of Electronics and Informatics (ETRO) at VUB.
Wearable Embedded Systems for Medical Applications
Embedded systems are largely present in healthcare as part of the medical equipment. In the last years, the adoption of Internet-of-Things has increased the use of portable embedded systems capable of performing continuous monitoring. Such advanced wearable devices create a large opportunity to develop new solutions for medical screening, detecting or diagnosing diseases. Our research targets technological advances on such devices to become more accurate, precise, power-efficient and, of course, intelligent.
Power-Efficient Embedded AI
Embedded systems are highly constraint devices. The limited computational power together with their minimal memory capacity make them hostile environments for complex Artificial Intelligence solutions such as Deep Learning. Moreover, embedded systems are often battery-powered devices, demanding power-efficient implementations in order to extend the battery lifetime. Under such constraints, novel solutions are needed in order to bring intelligence and power efficiency to all the embedded systems surrounding our day life towards a more sustainable society.