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
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2020–presentText Mining Research Engineer, Barcelona Supercomputing Center
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2019–2020Data Scientist, Atos
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2020–2020Postdoctoral research associate at Applied Intelligence and Data Analysis Research Group, Universidad Politécnica de Madrid (UPM)
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2014–2019Investigador en el Grupo de Instrumentación y Acústica Aplicada , Universidad Politécnica de Madrid (UPM)
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2018–2018Visitor researcher, Nokia Bell Labs Cambridge
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2017–2017Visitor researcher , Télécom ParisTech
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2013–2014Ayudante de investigación en el Grupo de Instrumentación y Acústica Aplicada, Universidad Politécnica de Madrid (UPM)
Education
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2020EIT Digital Academy , European Institute of Innovation and Techology Doctoral School Certificate
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2019Universidad Politécnica de Madrid , Doctor en Ingeniería
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2016Escuela de Organización Industrial, Master en Business Intelligence y Big Data
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2014Universidad Politécnica de Madrid, Máster Universitario en Ingeniería Acústica en la Industria y el Transporte
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2013Universidad Politécnica de Madrid, Grado en Ingeniería de Sonido e Imagen
Publications
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2020A 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
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2020Social media and open data to quantify the effects of noise on health, https://www.frontiersin.org/articles/10.3389/frsc.2020.00041/full
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2020A Digital Signal Processor Based Acoustic Sensor for Outdoor Noise Monitoring in Smart Cities, https://www.mdpi.com/1424-8220/20/3/605
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2019Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise, https://doi.org/10.1016/j.scitotenv.2018.12.071
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2018Assessment of Residents’ Exposure to Leisure Noise in Málaga (Spain), https://www.mdpi.com/2076-3298/5/12/134
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2017Communicating airport noise emission data to the general public, http://dx.doi.org/10.1016/j.scitotenv.2017.02.063
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2017A review of non-acoustic measures to handle community response to noise around airports, https://link.springer.com/article/10.1007/s40726-017-0060-x
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2015Implementation 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
- Acoustics And Noise Control (Excl. Architectural Acoustics) (091301)
- Pattern Recognition And Data Mining (080109)
- Environmental Sciences (05)
- Natural Language Processing (080107)
- Health Informatics (080702)
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
- Madrid, Spain
- Website
- @LuisGasco
- Article Feed
- lgasco@bsc.es
- luisgascosanchez@gmail.com
- ORCID
- Joined
