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Luis Gascó holds a PhD in Engineering and works as a Text Mining Research Engineer at the Barcelona Supercomputing Center (Spain). During his career, he has applied machine learning, NLP, and statistics to improve the quality of life of citizens by identifying and solving problems in cities and improving healthcare systems.

He has worked in international environments on projects in France and the UK, with research stays at Telecom Paris and Nokia Bell Labs (Cambridge). Graduated in Telecommunications Engineering (BsC in Image and Sound Engineering), with a Masters in Acoustic Engineering from the Technical University of Madrid and a Master in Big Data and Business Intelligence from the Escuela de Organización Industrial. He has also received funding and training from the EIT Digital Doctoral School, where he was awarded a PhD certificate in Innovation and Entrepreneurship.

Experience

  • 2020–present
    Text Mining Research Engineer, Barcelona Supercomputing Center
  • 2020–2020
    Postdoctoral research associate at Applied Intelligence and Data Analysis Research Group, Universidad Politécnica de Madrid (UPM)
  • 2019–2020
    Data Scientist, Atos
  • 2014–2019
    Investigador en el Grupo de Instrumentación y Acústica Aplicada , Universidad Politécnica de Madrid (UPM)
  • 2018–2018
    Visitor researcher, Nokia Bell Labs Cambridge
  • 2017–2017
    Visitor researcher , Télécom ParisTech
  • 2013–2014
    Ayudante de investigación en el Grupo de Instrumentación y Acústica Aplicada, Universidad Politécnica de Madrid (UPM)

Education

  • 2020 
    EIT Digital Academy , European Institute of Innovation and Techology Doctoral School Certificate
  • 2019 
    Universidad Politécnica de Madrid , Doctor en Ingeniería
  • 2016 
    Escuela de Organización Industrial, Master en Business Intelligence y Big Data
  • 2014 
    Universidad Politécnica de Madrid, Máster Universitario en Ingeniería Acústica en la Industria y el Transporte
  • 2013 
    Universidad Politécnica de Madrid, Grado en Ingeniería de Sonido e Imagen

Publications

  • 2020
    Social media and open data to quantify the effects of noise on health, https://www.frontiersin.org/articles/10.3389/frsc.2020.00041/full
  • 2020
    A Digital Signal Processor Based Acoustic Sensor for Outdoor Noise Monitoring in Smart Cities, https://www.mdpi.com/1424-8220/20/3/605
  • 2020
    A taxonomy proposal for the assessment of the changes in soundscape resulting from the COVID-19 lockdown, https://www.mdpi.com/1660-4601/17/12/4205
  • 2019
    Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise, https://doi.org/10.1016/j.scitotenv.2018.12.071
  • 2018
    Assessment of Residents’ Exposure to Leisure Noise in Málaga (Spain), https://www.mdpi.com/2076-3298/5/12/134
  • 2017
    Communicating airport noise emission data to the general public, http://dx.doi.org/10.1016/j.scitotenv.2017.02.063
  • 2017
    A review of non-acoustic measures to handle community response to noise around airports, https://link.springer.com/article/10.1007/s40726-017-0060-x
  • 2015
    Implementation of a virtual laboratory for training on sound insulation testing and uncertainty calculations in acoustic test, https://doi.org/10.1121/1.4907162

Research Areas

  • Health Informatics (080702)
  • Natural Language Processing (080107)
  • Environmental Sciences (05)
  • Pattern Recognition And Data Mining (080109)
  • Acoustics And Noise Control (Excl. Architectural Acoustics) (091301)

Honours

• Best speaker in 2nd PhD Symposium - Universidad Politécnica de Madrid • Prize “Catedra Luis de Camoens UC3M” to the best scientific communication presented by a young researcher at Internoise 2019