Alejandro Blanco

Alejandro Blanco-M

PhD Experimental Sciences & Technologies

Alejandro Blanco received a Ph.D. in Experimental sciences & technologies in 2018 at the University of Vic (UVic-UCC) with the developing of a machine learning system that extracts the failure patterns of the Wind Turbines. He is an experienced software engineer and embedded software with data scientist skills and the underlying hardware parallelization. In 2012 he joined the R&D Department of the Technological Center Leitat and participated in several European projects related to energy, IOT and distributed sensor networks.

In 2015 he joined the Engineering Department of the University of Vic and the Research Group in Data and Signal Processing as a doctoral student of the Industrial Doctorate Program of the Generalitat de Catalunya, joining the company Smartive-Itestit, which works in wind turbine diagnostic solutions. His role is to discover and create new machine learning methods for predicting failures with real data applications. His research interest is in machine/deep learning applied to the wind energy sector.

Expertise

Languages and platforms

Deep Learning(Keras+Tensorflow) , R , Python , MATLAB , CUDA/OpenMP/MPI , C++/C/CCS , JAVA/Android, PHP, Javascript/Ionic/Angular, Node.js, ThreeJS(webgl), perl/sh/bash/bat, Cassandra NOSQL/MYSQL/MSSQL/Hadoop.

Microcontrollers and embbeded devices

Arduino/Contiki WSN/Microchip/TI, 6LoWPAN/Zigbee/BLE 4.0, Driver development for Linux/Windows

System Administrator

Windows and Linux servers, Azure/Amazon cloud services, Networking (Routing,VPN), VM Management

Education

2015-2018

PhD Experimental Sciences & Technologies, Mention of Industrial Doctorate (Cum Laude)

University of Vic-Central University of Catalonia

Dissertation: Development of a methodology for automatic Wind Turbine failure detection implementing machine learning methods.

2014

Master in Apps & Games

University of Vic-Central University of Catalonia

Half-finished. Responsive HTML5 web-apps with AngularJS and Unity. Developed Bluetooth BLE module for MIT App inventor framework.

2013-2014

Master's Degree in High Performance Computing, Information Theory and Security

Autonomous University of Barcelona (UAB)

A Introduction into the world of the HPC computing based on multicore, multicluster as GPU's in order to develop software for computation and data-intensive tasks.

2009-2012

Bachelor of Information Technology (Business Systems)

Autonomous University of Barcelona (UAB)

Thesis: an Electronic Variable Geometry Turbo controller based on a Microchip 8bit microcontroller. Focus on information theory and business management (production optimizations).

2006-2008

Technical Engineer in Computer Systems

Polytechnic University of Catalonia (UPC)

Coursed two years and changed to Bachelor of information technology.

2004-2006

Higher vocational training in Computer systems administrations

IES Terrassa

Basic software develop, Computer networks management(CISCO CCNA)

Work Experience

2018 - Present

Algorithm developer & full stack developer

Aonchip

Develop a Lora backend system with Strongloop webservices and frontend with IONIC (Angular)

2015-Present

Intern at Data & Signal Processing

University of Vic (UVic-UCC)

Develop several support tasks for the research group like prepare the software infrastructure to conduct the experiments for others projects. i.e. MYO arm gesture control for medical treatment.

2015-2018

R&D Industrial Doctorate Program

SMARTIVE

Develop a methodology and industrial platform for detecting the Wind Turbine's health status and generate predictions.

2012-2015

R&D Researcher in D2E Embedded software develop department

Leitat Technological Center

Designed and developed software for industrial applications and European projects. Participated in several meetings and workshops during the design stage of all the European projects where I have attended.

2004-2009

Industrial department technician

Simontech(Simon holding)

In charge of the maintenance of production computers. Documentation of the test procedures for the different products and others maintenance services.

Publications and Conferences Posters

Publication

Blanco-M, A., Gibert, K., Marti-Puig, P., Cusidó, J. and Solé-Casals, J. (2018). Identifying Health Status of Wind Turbines by Using Self Organizing Maps and Interpretation-Oriented Post-Processing Tools. Energies, 11(4), 1-21. (Impact Factor 2.262, Q2)

Publication

Marti-Puig, P., Blanco-M, A., Cárdenas J. J., Cusidó, J. and Solé-Casals, J (2018). Effects of the Pre-processing Algorithms in Fault Diagnosis of Wind Turbines . Environmental Modelling and Software, ELSEVIER. (Impact Factor 4.404, Q1)

Publication

Blanco-M, A., Solé-Casals, J., Marti-Puig, P., Cárdenas J. J., Justicia, I. and Cusidó, J. (2017). Impact of target variable distribution type over the regression analysis in wind turbine data, 2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI), Funchal, 2017, pp. 1-7. (IEEE Explore Conference Proceeding.)

Poster

Cardenas J. J., Blanco-M, A., Justicia, I., Cusidó, J., Marti-Puig, P. and Solé-Casals, J. (2016). PO.002 Cloud-based Platform for Wind Turbine’s Health Estimation and Failure Prediction. EWEA Analysis of operating wind Farms, Bilbao, 14-15 April 2016. Link

Poster

Blanco-M, A., Solé-Casals, J., Marti-Puig, P., Cardenas J. J., Justicia, I. and Cusidó, J. (2016) PO.066 Study of Feature-Selection-Algorithms with powerful 3D Insights for Wind Turbine Failure Prediction using SCADA Data. WindEurope Summit 2016, Hamburg, 27-30 September 2016. Link

Poster

Cardenas J. J., Blanco-M, A., Justicia, I., Cusidó, J., Solé-Casals, J.and Marti-Puig, P. (2016) PO.075 Wind Turbine Fault Forensic Analysis of SCADA Data Using Machine Learning Techniques. WindEurope Summit 2016, Hamburg, 27-30 September 2016. Link

Certifications and recognitions

Catalonia Goverment recognition

for my role in the research and knowledge transfer

Course certificate

Project management, IP and knowledge transfer skills

Course certificate

Entrepreneur skills for Researchers

DataCamp Course

DeepLearning in Python

DataCamp Course

Machine Learning Toolbox in Python

DataCamp Course

Unsupervised Learning in R

SuperDataScience Course

Deep Learning A-Z

Contact

Alejandro Blanco-M