HiPEAC

Luís Miguel Pinho

Luis Miguel Pinho has a PhD in Electrical and Computer Engineering at the University of Porto, Portugal, and the Habilitation in Informatics Engineering from the same University. He is a Professor and Researcher at the School of Engineering of the Polytechnic of Porto, and a Senior Researcher at the INESC TEC Associated laboratory, with more than 20 years of experience in research in the area of real-time and embedded computing systems.

Miguel has participted in more than 25 research projects. He was Project Coordinator and Technical Manager of the FP7 R&D European Project P-SOCRATES (Parallel SOftware framework for time-CRitical mAny-core sysTEmS) and is local coordinator in the H2020 ELASTIC, H2020 AMPERE and ITEA Panorama projects. In the past, Miguel was also Coordinator of CooperatES and Reflect FCT-funded Research Projects, and local Coordinator of H2020 EnerGAware, FP5 NNES REMPLI, Artemis ENCOURAGE and ITEA 2 CarCoDe projects, among others. From 1996 to 2020 Miguel was Research Associate at the CISTER Research Centre, where he was Vice-Director from 2010 to 2017.

Miguel has published more than 100 papers in international conferences and journals in the area of real-time embedded systems, and has been general/program chair of several international conferences. Miguel is a member of ISO/IEC JTC1/SC22/WG9, and senior member of ACM and IEEE. He was Editor-in-Chief of the Ada User Journal, and is currently Technical Editor of ACM SIGAda Ada Letters.

Miguel is currently working in QoS and real-time Big Data, and is ISEP team leader and WP leader in the H2020 projects ELASTIC and AMPERE, and ITEA project PANORAMA.

Miguel was Pro-President for Research at the Polytechnic Institute of Porto, from 2018 to 2022, being deeply involved in the development of the Porto Research, Technology & Innovation Center (PORTIC).


Expertise areas

Application areas: Energy infrastructure, Healthcare, Industrial automation, Smart home, Transportation

Topics: Cyber-physical systems, Multicore / Manycore, Parallel computing, Resource management / Scheduling, Runtime performance, Safety