Daniel R. Torres Ruiz

Contact

• workRoom C87 Computer Science
  Jubilee Campus
  Wollaton Road
  Nottingham
  NG8 1BB
  UK
• Daniel.TorresRuiz@nottingham.ac.uk

Biography

Daniel is a Computer Scientist and Engineer from Málaga, Spain. While pursuing an MSc in Computer Science and Engineering at the University of Malaga, he worked as a research assistant in IoT, Cloud and Edge Computing, Distributed Deep Neural Networks, Computer Vision, and Structural Health Monitoring. He then studied for an MSc in Neuroscience at the University of Salamanca, focusing on the cognitive aspects of the brain and working on the processing of auditory neuron signals. After this rewarding experience, he worked as a software engineer, NLP researcher in private companies, and a data analyst and engineer at VICOMTECH, a relevant spanish research institute, for Horizon and national healthcare, big data, private data, and synthetic data-related projects. He is currently pursuing his PhD in Computer Science at the University of Nottingham. He is focused on Reinforcement Learning-based Hyper-Heuristics.

Selected Publications

• TORRES, DANIEL R., MARTIN, CRISTIAN, RUBIO, BARTOLOME and DIAZ, MANUEL, 2021. An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum JOURNAL OF SYSTEMS ARCHITECTURE. 118,

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• TORRES, DANIEL R., MARTIN, CRISTIAN, RUBIO, BARTOLOME and DIAZ, MANUEL, 2021. An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum JOURNAL OF SYSTEMS ARCHITECTURE. 118,
• CARNERO, ALEJANDRO, MARTIN, CRISTIAN, TORRES, DANIEL R., GARRIDO, DANIEL, DIAZ, MANUEL and RUBIO, BARTOLOME, 2021. Managing and Deploying Distributed and Deep Neural Models Through Kafka-ML in the Cloud-to-Things Continuum IEEE ACCESS. 9, 125478-125495
• MARTIN, CRISTIAN, TORRES, DANIEL R., DIAZ, MANUEL and RUBIO, BARTOLOME, 2020. FogPi: A Portable Fog Infrastructure through Raspberry Pis In: 2020 9TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO). 224-226