GABRIEL FALCAO received the Ph.D. degree in Electrical and Computer Engineering from the University of Coimbra in 2010. He is currently an Assistant Professor with the Department of Electrical and Computer Engineering of the University of Coimbra and a Researcher with Instituto de Telecomunicações (IT). He has been teaching courses on Computer Programming, Data Structures and Algorithms, Microprocessor Systems, Computer Architecture, and is currently responsible for two new courses, namely Heterogeneous High Performance Computing and Project Design. He completed the supervision of 1 postDoc and 3 PhD students and currently supervises another post-Doc and 3 new PhD students. Gabriel has been involved on several national and international projects funded by Fundação para a Ciência e a Tecnologia (FCT) and the European Commission, including a Google Research Award for “UrbanScan: fast 3D modeling of urban scenes using a new stereo vision approach”, funded by Google Inc., and AMS-HMI12: “Assisted Mobility Supported by Shared-Control and Advanced Human-Machine Interfaces”, project funded by the COMPETE – QREN, “Processamento de imagens e problemas inversos: aplicações em imagens médicas, imagens de observação terrestre e em biomatemática”, funded by FCT and “TopMater”, funded by FCT. Together with Nuno Roma he is the co-PI of project “HAnDLE: Hardware Accelerated Deep Learning Framework”, funded by FCT 50-50% between IT/FCTUC and INESC-ID/IST. He is the PI of project “CRYPTOnITe”, funded by IT and FCT and also of project “SPaC - SmartPlasticCover”, a partnership with industry funded by FEDER, P2020 Projetos de I&D. He is also the PI of a CUDA research lab at the University of Coimbra and IT, sponsored by NVIDIA. His research interests include HPC, parallel computer architectures, energy-efficient processing, GPU- and FPGA-based accelerators, and compute-intensive signal processing applications, including those related with image and communications. He is also investigating new computer architectures, including processing-in-memory technology, for increasing the throughput and energy efficiency of machine learning applications. All this research activity has been supported by a network of national and international collaborations. In 2011/12 and again in 2017/18 he was a Visiting Professor with EPFL, Switzerland, and in the summer of 2018 he was a Visiting Academic at ETHZ, also in Switzerland. Gabriel is a member of the IEEE Signal Processing Society, a Senior member of the IEEE and a full member the HiPEAC network of excellence.