Dr. Eduardo Quiñones is a senior researcher at the Barcelona Research Center (BSC). He worked at the Intel Barcelona Research Center from 2002 till 2004. At BSC, he has previous experiences involved in the architectural definition for critical real-time systems in multiple European projects including MERASA, parMERASA, PROARTIS and PROXIMA FP7 projects. Current research interests focus on the applicability of HPC parallel programming models for critical real-time systems to increase performance. He is currently coordinating three H2020 projects (CLASS, ELASTIC, AMPERE) related to the use of HPC distributed programming models in smart city domains and participates in the DeepHealth H2020 project related to distributed deep learning training projects. Eduardo is author of more than 80 scientific papers and holds three patents.