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Dr. Luis Francisco Sánchez Merchante

Current position:
Assistant Professor
Research Area:
Association date:
05/May/2020
Location:
AA25. D-420
Phone extension number:
+34 91 542-2800 ext. 2378
Researcher ID:
Google Scholar ID:
SCOPUS:
LinkedIn:
Academic Report:

Biography:

Luis Fco. Sánchez holds a degree in Telecommunications Engineering from UPM and furthered his academic training with a Master’s degree in Multimedia and Communications from UC3M, as well as a PhD in Information Technologies, specializing in Machine Learning, from the University of Technology of Compiègne. He taught at university level for six years at UCLM and has more than 12 years of experience in the private sector in the fields of technology and analytics. Throughout his professional career, he has specialized in advanced analytics on Big Data platforms for leading companies in their respective sectors, such as Amadeus, Bankia, and Alstom. His expertise focuses on the application of artificial intelligence to the development of consumption propensity models, the use of machine learning algorithms in the field of smart cities, and the research of new supervised and unsupervised mechanisms applied to the transport sector. Since 2019, he has been a lecturer and researcher at Comillas Pontifical University. In his teaching activity, he has taught in the double degree programs in Business Analytics and Law, and Business Administration and Business Analytics, at ICADE, as well as in the Master’s in Big Data, Technology and Advanced Analytics and in the undergraduate degrees in Telecommunications Engineering and Industrial Engineering at ICAI. His research activity is carried out in the field of AI applied to smart cities, where he also serves as coordinator of the Kapsch Chair for Sustainable and Intelligent Mobility, and in the field of AI applied to health, as a researcher at Mobios, the Mobility, Biomechanics and Health laboratory affiliated with the university.


Areas of interest:

Advanced analytics on Big Data platforms Machine Learning Smart cities


Experience:

Big Data Data Scientist for ALSTOM (2017 - 2019).
Big Data Data Scientist for BANKIA (2015 - 2017).
Big Data Data Scientist for AMADEUS (2014 - 2015]).
Research Engineer for CNRS (2010 - 2013).
Associated Lecturer for Universidad de Castilla la Mancha (2004 - 2010).
Customer Service Engineer para EMC (2004 - 2010).


Skills:

Unsupervised machine learning: Clustering Supervised machine learning: neural networks, random forests, gradient booster... Reinforcement learning Representation learning Image, video, audio processing


Journal Publications

show 6 journal publications

Ph.D. Thesis

show 2 Ph.D. Thesis

Invited Conferences and Seminars

  • Seminar "Leveraging ARCUS Resources to Understand the Relationship Between Long Bone Cortical Thickness and Medical Diagnosis" Webinar. METACHOP Research Affinity Group. Online. Jul 2025.
show 1 invited conferences and seminars

Organization of Scientific Meetings

  • Organization of "1st Seminar on Applied Modeling for Sustainable and Smart Mobility". Cátedra Kapsch para una movilidad sostenible e inteligente. Universidad Pontificia Comillas. Madrid (Spain). May 2026.
show 1 organization of scientific meetings

Other Activities

  • Doctoral Defense Committee of "Monteagudo Honrubia, M. «Machine Learning techniques to enhance the capacitive sensing of microwave resonant structures»". Universidad Pontificia Comillas. Madrid (Spain). Nov 2024.
  • Doctoral Defense Committee of "Ospina Mateus, H. «El comportamiento, los conflictos de tráfico y los factores asociados con la accidentalidad de los motociclistas en las intersecciones de las vías de Cartagena»". Pontificia Universidad Javeriana - PUJ. Bogotá (Colombia). Dec 2021.
show 2 other activities