Experience

i2CAT Foundation

• Spain
• Research Services
• 100 - 200 Employee

• Director of Artificial Intelligence and Big Data research group

  • Jun 2019 - Present

  Initiator and Director of a Research and Innovation group focused on Artificial Intelligence and Big Data technologies, growing from 3 to 18 members in less than 4 years. Currently: o 18 skilled professionals, including PhDs, AI Researchers, AI Developers, Data Engineers, and Innovation Managers. o Worked on more than 40 research and innovation projects. o Recognized as an "Emergent Research Group" by the Catalan Government research agency. Principal Investigator at i2CAT for 3 competitive research projects (H2020: IoT-Ngin, HE: TEADAL, Emergents: Fem-IoT P2) Fundraising for the research lines of the group. Participating in +10 collaborative European projects Meeting with clients for project assessment and requirements elicitation Deploying software solutions based on AI/ML; presenting, discussing, and delivering results with clients and partners. Supervising 2 PhD students and 4 master's theses. Collaborating with other research areas at i2CAT (5/6G, IoT, V2X, Cybersecurity, Space, Media...), supporting areas (Human Resources, Business Units, Transfer Knowledge, Corporate Development, Finance...), and reporting to the CTIO of i2CAT Representing i2CAT in national and international associations (ACIA, CIDAI, Xarxa IA-RI, BDVA/DARIO) Presenting research results in international conferences and journals Show less



University of Nottingham

• United Kingdom
• Research Services
• 700 & Above Employee

• Research Fellow

  • Jul 2018 - Jun 2019

  Develop new signal and data analysis methods to relate recorded ultrasonic measurements to physical and chemical processes of the food industry. - Cleansing and filtering of data- Extraction of key information from the data to develop models and to train machine learning algorithms.- Train and test different machine learning algorithms.Make software with graphic user interface to do the acquisition and visualization of data faster and easier for other users (i.e. master students) Show less

• Database Manager - Research assistant

  • Jun 2017 - Jul 2018

  Responsible for developing and designing the database of the TMF consortium. It contained the data of the experiments performed in all the TMF projects;Cleansing of data. It included sifting the data, removing the irrelevant data and duplicates, correcting wrong data, completing missing information, merging and standardizing formats, etc;Writing scrips to efficiently process the raw data;Making the data available online and to administrate the accesses to the database;Studying and proposing different alternatives to organize the database ( SQL and NoSQL ) to the partners of TMF consortium;Applying statistical methods and machine learning algorithms (neural networks, regressions, decision trees, etc.) to the data. Show less

• PHD Candidate, Chemical Engineering

  • Jan 2013 - May 2017

  Acquired sets of time series of data from different flow loop facilities;Processed the time series: mathematical moments, probability distribution functions, discrete Fourier transform, power spectral estimation (Bartlett method, Welch method), etc;Developed algorithms for flow pattern identification;Developed algorithms for flow tomography (Linear Back Projection, Tickomov regularization, Singular values decomposition), permittivity models, bubble identification (3D filling algorithms, cellular automaton) and dynamic mode decomposition;Developed of Neural Networks to identify flow patterns and to do flow reconstruction;Applied linear and nonlinear regression techniques to develop models to predict the velocity and the frequency of periodicities in multiphase flows under different geometrical and physical conditions;Wrote research papers for international journals and conferences;Presented and discussed results with the sponsor companies (oil companies, i.e.: Total, Petrobras, BP, Chevron…) and researchers from other universities. Show less



Universitat Jaume I

• Spain
• Utilities Administration
• 200 - 300 Employee

• Research Assistant

  • Jan 2010 - Nov 2012

  Engineering consultancy and industry audit. • Analysis of flows, pressures, temperatures and power consumption of industrial processes from operational historian and field data to solve problems, reduce consumptions and improve production. • Mathematical modelling of the hydraulic, thermal, electrical and chemical processes such as: cogeneration plants, desalination plants, cooling water networks, caprolactam reactors, industrial water treatment, etc. • Computational Fluid Dinamics (CFD) simulations • Presentation and discussion of the results to the process managers of the companies (UBE Corporation Europe, Facsa - Grupo Gimeno). Supervision of student projects and students internships in industry. Set up and maintenance of the High Performance Computing server for CFD simulations. Show less