Short biography and interests

César Ernesto Hernández Hernández is Doctor in Informatics, specialized in mathematical modeling of dynamic systems, and control systems. He received a bachelor’s degree in Electronic Engineer from the Hermosillo Institute of Technology (“ITH Instituto Tecnológico de Hermosillo” in Spanish), in Hermosillo, Sonora, Mexico in 2008. He has a Master in Sciences (Master in Physics and Mathematics) from the University of Granada and the University of Castilla-La Mancha, Spain, in Spain 2010. Furthermore, he received a Master in Industrial Computing and a Ph.D. in Informatics from the University of Almeria (UAL), Spain, in 2013 and 2017, respectively. In addition, he has also got a Master in Systems and Control Engineering from the Complutense University of Madrid and the National University of Distance Education (UNED) in 2022.

Throughout his academic and work career, he has worked on projects in different areas, ranging from energy distribution in microgrids, Industry 4.0 in the automotive sector, machine learning and deep learning to determine the churn rate of companies, image processing with deep learning, modeling and control in the horticulture sector, e-commerce and big data, control of floating offshore wind turbines and, modeling and control of wind tunnels. As can be seen, although some of the projects are totally different from each other, in all of them it has been necessary to make use of mathematical modeling of dynamic systems, machine learning and deep learning, and development of system control strategies (PID control, Fuzzy control and Model Predictive Control).

He is currently a member of the Spanish Committee of Automatic (CEA).

His research interest includes Microgrids/Smartgrids, Mathematical Modelling, Model Predictive Control, PID Control, Intelligent Control, Control Systems, Renewable Energies, Wind Turbines, Engineering, Optimization, Machine Learning and Deep Learning, Big Data, and Data Mining.

Education

  • Ph.D. in Informatics.

    Speciality control systems, mathematical modelling, and smart grids.

    • Institution. University of Almeria (UAL), Spain.
    • Research unit. Automatic control, Robotics, and Mechatronic group.
    • Period. October 2013 - October 2017.
    • Ph.D. Thesis title. Control and supervision strategies for the integrated management of installations in energy efficient environments.
    • Supervisors.
      • Francisco Rodríguez Díaz (Supervisor) - University of Almeria - Automatic control, Robotics and Mechatronic group - frrodrig@ual.es
      • Jose Carlos Moreno Úbeda (Co-Supervisor) - University of Almeria - Automatic control, Robotics and Mechatronic group - jcmoreno@ual.es

  • Master in Systems and Control Engineering.

    Speciality in intelligent control systems, mathematical modelling, and smart grids.

    • Institution. Complutense University of Madrid and the National University of Distance Education (UNED), Spain.
    • Research unit. Informatic Engineering.
    • Period. October 2019 - September 2023.
    • Master Thesis title. Tuning of conventional and fuzzy blade angle control of a floating wind turbine using optimisation techniques.
    • Supervisors.
      • Matilde Santos Peñas (Supervisor) - Complutense University of Madrid- Institute of Knowledge Technology - msantos@ucm.es
      • Jesús Enrique Sierra García (Co-Supervisor) - University of Burgos - Electromechanical Engineering Department - jesierra@ubu.es

  • Master in Industrial Computing.

    Speciality in automatic control and industrial automation.

    • Institution. University of Almeria (UAL), Spain.
    • Research unit. Automatic control, Robotics and Mechatronic group.
    • Period. October 2012 - July 2013.
    • Master Thesis title. Cooperative predictive control of energy efficient environments.
    • Supervisors.
      • Francisco Rodríguez Díaz (Supervisor) - University of Almeria - Automatic control, Robotics and Mechatronic group - frrodrig@ual.es
      • Jose Carlos Moreno Úbeda (Co-Supervisor) - University of Almeria - Automatic control, Robotics and Mechatronic group - jcmoreno@ual.es

  • Master in Physics and Mathematics.

    Speciality in methods and models for science and engineering.

    • Institution. University of Granada and University of Castilla-La Mancha, Spain.
    • Research unit. Sciences faculty.
    • Period. October 2009 - July 2010.
    • Master Thesis title. Analysis of a system of differential equations for mutualism.
    • Supervisor.
      • Rafael Ortega Ríos - University of Granada - Sciences faculty - Department of applied mathematics - rortega@ugr.es

  • Electronics Engineer.

    Speciality in digital systems.

    • Institution. Hermosillo Institute of Technology, Sonora, Mexico.
    • Period. August 2003 - July 2008.

Graduates

  • Senior Executive Program in Big Data in the Industrial Sector. Association of Metallurgical Engineers of Galicia (“Asociación de Ingenieros Metalúrgicos de Galicia (ASIME)” in Spanish). 125 hours. (Oct. 2018-Feb. 2019).
  • Diploma in Administration. Harvard ManageMentor. Mode: Online. (Jan. 2012).
  • Diploma in teaching skills. Technological Institute of Sonora. Empalme, Sonora, Mexico. Mode: Face to face. 64 hours. (Nov. 2010).

Work experience

  1. Research Engineer (Postdoctoral).

    ESIGELEC | Écoles d’ingénieur-es généralistes. Rouen, Normandy, France. (Jan. 2023-Ongoing).

    • Technologies, tools and methodologies used:
      • Mathematical modelling, Machine Learning, Deep Learning, and development of control strategies (PID, MPC, Fuzzy).
      • Matlab/Simulink, LabView, Python, git.
      • Participation in projects related to aerosystems.
    • Keywords:
      Control systems, PID control, model predictive control, optimization, research, and mathematical modelling.

  2. Senior Data Scientist.

    We Are Clickers SL. Durango, Basque Country, Spain. (March 2022-May 2022).

    • Technologies, tools and methodologies used:
      • Analysis and processing of BigData using pySpark.
      • Python, pySpark, git.
      • Participation in projects related to Ecommerce.
    • Keywords:
      Big data, data preprocessing, machine learning, and deep learning.

  3. Research Associate (Postdoctoral). Researcher in Applied Control Systems, Artificial Intelligence, and Machine Learning.

    University of Deusto - DeustoTech. Bilbao, Basque Country, Spain. (Jan. 2021-Dec. 2021).

    • Technologies, tools and methodologies used:
      • Control Systems, Automatic Control, Data Analytics and Data Modelling, Machine Learning, Matlab/Simulink, Python.
      • Development of control strategies such as PID, MPC, and Fuzzy Control.
      • Participation in Research + Development + Innovation projects; Involved in projects related to Horticulture and Energies.
    • Keywords:
      PID control, model predictive control, data preprocessing, research, and mathematical modelling.

  4. Postdoctoral Fellow in Artificial Intelligence. Data Scientist & Artificial Intelligence and Machine Learning Researcher.

    Basque Center for Applied Mathematics (BCAM). Bilbao, Basque Country, Spain. (Feb. 2019-Dec. 2020).

    • Technologies, tools and methodologies used:
      • Data Wrangling, Data Analytics, and Data Modelling, Machine Learning, Deep Learning, Python, Tensor Flow, Keras, pySpark, Matlab, R.
      • Participation in Research + Development + Innovation projects; Involved in projects related to Machine Learning, Big Data, and Image Processing.
    • Keywords:
      Data preprocessing, mathematical modelling, research, machine learning, and deep learning.

  5. Data Scientist.

    Technological Automotive Centre of Galicia (CTAG). Porriño, Galicia, Spain. (Aug. 2018-Feb. 2019).

    • Technologies, tools and methodologies used:
      • Data Wrangling, Data Analytics, and Data Modelling, Machine Learning, Deep Learning, Python, Tensor Flow, Keras, pySpark, Matlab, R.
      • Participation in Research + Development + Innovation projects; Involved in projects related to Big Data, the Internet of Things (IoT), and Industry 4.0 for the automotive industry.
    • Keywords:
      Data preprocessing, mathematical modelling, machine learning, and deep learning.

  6. Administrative assistant.

    Allgreen Alimentación SL. Almeria, Andalusia, Spain. (May 2018-July 2018).

    • Technologies, tools and methodologies used:
      • Computing and office automation.
    • Keywords:
      Office automation tasks.

  7. Teaching Assistant.

    University of Almeria. Almeria, Andalusia, Spain. (Sept. 2014-Sept. 2016).

    • Subjects imparted:
      • Industrial Automation; Distributed and Real-Time Programming; Real-Time Systems.
    • Keywords:
      Control systems, automation, and programming.

  8. Research Assistant.

    University of Almeria, Informatics Department. Almeria, Andalusia, Spain. (May 2012-Oct. 2017).

    • Technologies, tools and methodologies used:
      • Dynamic systems, automatic control and control systems (Model Predictive Control, PID control), optimization techniques.
      • Matlab/Simulink, PLC programming (Schneider, Siemens), Programming LabView.
      • Visualization, analysis, and data cleaning using tools such as Matlab, Python, and R.
      • Artificial intelligence and Artificial vision.
      • Machine Learning and development of mathematical models based on neural networks, Bayesian networks, regression and classification trees, and auto-regressive models.
      • Monitoring, acquisition, and data storage from different plants (intelligent buildings, greenhouses, photovoltaic systems) using sensors, and SCADA systems.
    • Keywords:
      Control systems, automation, research, microgrids, and programming.

  9. Electro-Mechanical technician.

    YMEX MFG. Makilas Teta-Kawi. Empalme, Sonora, México. (May 2011-Oct. 2011).

    • Technologies, tools and methodologies used:
      • Preventive maintenance of moulding machines, pumps, and electrical systems.
      • Management of preventive maintenance tools.

  10. Adjunct Professor.

    Technological Institute of Sonora (“ITSON Instituto Tecnológico de Sonora” in Spanish). Empalme, Sonora, México. (Aug. 2010-Dec. 2011).

    • Subjects imparted:
      • Calculus 2; Statistics 2; Numerical Methods; Mathematics.
    • Keywords:
      Mathematics, Statistics, and Programming.

Scientific production

Book Chapters, Journals Publications, Communications in international and national conferences

  1. C Hernández-Hernández, J Enrique Sierra-García, M Santos, “From PID control to Fuzzy control through Evolutive Optimization Techniques in Floating Offshore Wind Turbines”, Trends in Renewable Energies Offshore, (2023).
  2. Hernández-Hernández C., J. Enrique Sierra-García, Santos M., “Sintonización basada en datos de un control difuso mediante técnicas de optimización evolutiva en turbinas eólicas flotantes”, XLIII Jornadas de Automática, (2022).
  3. Díez-Arrizabalaga P., Hernández-Hernández C., Santos M., (2022), “Descent of a Suborbital Rocket: A Simulation Case Study Using CFD, Parametric Models and Neural Networks”, In: Sanjurjo González H., Pastor López I., García Bringas P., Quintián H., Corchado E. (eds) 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021). SOCO 2021. Advances in Intelligent Systems and Computing, vol 1401. Springer, Cham, https://doi.org/10.1007/978-3-030-87869-6_47
  4. César Hernández-Hernández, Francisco Rodríguez, José Carlos Moreno, Paulo Renato da Costa Mendes and Julio Elias Normey-Rico, “Chapter Sixteen. Model Predictive Control for the Management of Electrical Energy in an Agroindustrial Microgrid”, Advances in Renewable Energies and Power Quality, (January 2020).
  5. Hernández-Hernández, C.; Rodríguez, F.; Moreno, J.C.; Da Costa Mendes, P.R.; Normey-Rico, J.E.; Guzmán, J.L., “The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management”, Energies 2017, 10, 884, doi: 10.3390/en10070884
  6. César Hernández-Hernández, Francisco Rodríguez, José Carlos Moreno, Paulo Renato da Costa Mendes, Julio Elias Normey-Rico and José Luis Guzmán, “The use of Model Predictive Control (MPC) in the optimal distribution of electrical energy in a microgrid located in south-eastern of Spain: A case study simulation”, Renewable Energy and Power Quality Journal, 2017, doi: 10.24084/repqj15.278
  7. César Hernández, José del Sagrado, Francisco Rodríguez, José Carlos Moreno, and Jorge Antonio Sanchez, “Modeling of Energy Demand of a High-Tech Greenhouse in Warm Climate Based on Bayesian Networks”, Mathematical Problems in Engineering, vol. 2015, Article ID 201646, 11 pages, 2015, doi: 10.1155/2015/201646
  8. César Hernández-Hernández, Francisco Rodríguez, José Carlos Moreno, Paulo Renato da Costa Mendes, Julio Elias Normey-Rico and José Luis Guzmán, “The use of Model Predictive Control (MPC) in the optimal distribution of electrical energy in a microgrid located in southeastern of Spain: A case study simulation”, International Conference on Renewable Energies and Power Quality (ICREPQ’17), Malaga, Spain, (2017).
  9. C. Hernández, J. del Sagrado, F. Rodríguez, J.C. Moreno, J.A. Sánchez, “Análisis y predicción del consumo eléctrico de un invernadero en el sudeste de España”, International Conference on Renewable Energies and Power Quality (ICREPQ’17), Malaga, Spain, (2017).
  10. César Hernández, Francisco Rodríguez, José Carlos Moreno, Paulo Renato da Costa Mendes, Julio Elias Normey-Rico, “Un enfoque óptimo para la distribución de energía de una micro-red usando Control Predictivo basado en Modelo (MPC): una simulación de un caso de estudio”, XXXVII Jornadas de Automática, Madrid, España, (2016).
  11. César Hernández, Francisco Rodríguez, José Carlos Moreno, Paulo Renato da Costa Mendes, Julio Elias Normey-Rico, “Modelado y predicción a corto plazo del consumo y producción de energía eléctrica en una micro-red utilizando métodos basados en series temporales y redes neuronales artificiales”, XXXVII Jornadas de Automática, Madrid, España, (2016).

Conference attendance

Attendance at congresses, conferences, workshops, symposium

  1. V Wind (and) Marine Energy Workshop. University of Basque Country, Bilbao, Spain. (Dec. 2023).
  2. XLIII Automatic Conference 2022. University of La Rioja, Logroño, Spain. (Sep. 2022).
  3. Wind (and) Marine Energy Workshop. Complutense University of Madrid, Madrid, Spain. (Dec. 2019).
  4. 4th Bilbao Data Science Workshop (BIDAS). BCAM, Bilbao, Basque Country, Spain. (Nov. 2019).
  5. Automation, Robotics, and Mechatronics for everyone. The European night of researchers, Almeria, Andalusia, Spain. (Sept. 2017).
  6. International Conference on Renewable Energies and Power Quality (ICREPQ’17). University of Malaga, Malaga, Andalusia, Spain. (April 2017).
  7. V Research minisymposium. UAL, Almeria, Andalusia, Spain. (Nov. 2016).
  8. Conference on Comfort and Sustainable Building, a response from the Automatic and Microgrids. Industrial and Technological Park of Almeria (PITA), Almeria, Andalusia, Spain. (Oct. 2016).
  9. XXXVII Automatic Conference 2016. Complutense University of Madrid, Madrid, Spain. (Sep. 2016).
  10. III Research minisymposium. UAL, Almeria, Andalusia, Spain. (Sep. 2016).
  11. Workshop on Automatic Control for Engineering. Speakers: Prof. Karl Johan Astrom; Prof. Tore Hagglund (Department of Automatic Control, Lund University). UAL, Almeria, Andalusia, Spain. (March 2014).
  12. Regional week of Research and Teaching in Mathematics. University of Sonora, Hermosillo, Sonora, Mexico. (March 2007).

Research stays

  1. Research and collaboration in topics related to Model Predictive Control (MPC) and mathematical modelling. Federal University of Santa Catarina, Department of Automation and Systems, Florianopolis, Santa Catarina, Brazil. Responsible professor: Professor Julio Elias Normey-Rico. Duration: 120 days. (Aug. 2015-Dec. 2015).
  2. Research and collaboration in topics related to Model Predictive Control (MPC) and optimal energy distribution in Microgrids. University of Sevilla, Department of Systems Engineering and Automation, Sevilla, Andalusia, Spain. Responsible professor: Professor Carlos Bordons Alba and Professor Miguel Angel Ridao Carlini. Duration: 90 days. (Sept. 2013-Dec. 2013).
  3. Stay of research in topics related to optical metrology and Moiré technique. Research Center in Optics (CIO), Department of Optical Metrology, Leon, Guanajuato, Mexico. Duration: 14 days. (Feb. 2008).

Participation in projects

  1. COPOGIRT (COmmande Prédictive avec Observateurs pour la Gestion Intelligente des Régimes Transitoires). ESIGELEC | Écoles d’ingénieur-es généralistes. Dispositif Recherche de la Métropole Rouen Normandie. Rouen, Normandy, France. (Jan. 2023-Ongoing).
  2. Análisis y control de un dispositivo flotante híbrido de energía eólica y marina. / Analysis and control of a hybrid wind and marine energy floating device. Complutense University of Madrid. Proyecto de I+D Retos Investigación del Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad con referencia RTI2018-094902-B-C21. Madrid, Spain. (Jan. 2019-Sep. 2023).
  3. Supervisión y Control de Plataformas Híbridas Marinas (MatrixWW). / Supervision and Control of Floating Hybrid Wave Wind Energy Platforms (MatrixWW). Complutense University of Madrid. Proyecto de Generación del Conocimiento PID2021-123543OB-C21. Madrid, Spain. (Jan. 2019-Aug. 2025).
  4. HortiMED - Towards circular horticulture: closing the loop on Mediterranean greenhouses. University of Deusto - DeustoTech. H2020 project. Bilbao, Basque Country, Spain. (Jan. 2021-Dec. 2021).
  5. Análisis y clasificación de radiografías de Tórax con patología COVID. / Analysis and classification of chest X-rays with COVID pathology. Machine Learning Research Group (BCAM). Bilbao, Basque Country, Spain. (June 2020-Dec. 2020).
  6. Definición de directrices para la optimización de la predicción del número de siniestros de daños propios del vehículo. / Definition of guidelines to optimize the prediction of the number of claims with own vehicle damages. Machine Learning Research Group (BCAM). Bilbao, Basque Country, Spain. (June 2019-Jan. 2020).
  7. Control and supervision strategies for the integrated management of installations in energy efficient environments. UAL. Almeria, Andalusia, Spain. (May 2012-Dec. 2013).

Teaching imparted

  1. Industrial Automation. UAL. Industrial Chemical Engineering. (2015-2016).
  2. Distributed and Real Time Programming. UAL. Informatics Engineering. (2015-2016).
  3. Real Time Systems. UAL. Informatics Engineering. (2015-2016).
  4. Real Time Systems. UAL. Informatics Engineering. (2014-2015).
  5. Calculus 2. ITSON. Industrial Engineering. Empalme, Sonora, Mexico. (Aug. 2011-Dec. 2011).
  6. Statistics 2. ITSON. Tourism Business Administration. Empalme, Sonora, Mexico. (Aug. 2011-Dec. 2011).
  7. Numerical Methods. ITSON. Industrial Engineering. Empalme, Sonora, Mexico. (Jan- 2011-May 2011).
  8. Mathematics. ITSON. Industrial Engineering. Empalme, Sonora, Mexico. (Jan. 2011-May 2011).
  9. Calculus 2. ITSON. Industrial Engineering. Empalme, Sonora, Mexico. (Aug. 2010-Dec. 2010).
  10. Statistics 2. ITSON. Tourism Business Administration. Empalme, Sonora, Mexico. (Aug. 2010-Dec. 2010).

Courses offered by invitation

  1. Introduction to Machine Learning (Data pre-processing). Basque Center for Applied Mathematics (BCAM). (Sep. 2019).
  2. State Mathematics Olympiad. Teacher for students participating in the State Mathematics Olympiad. UNISON. Hermosillo, Sonora, Mexico. (Jan. 2009-Aug. 2009).
  3. Mathematics Teacher Collaborator. High School of the State of Sonora (COBACH). Empalme, Sonora, Mexico. (Aug. 2002-June 2003).

Mentoring & Advising

Interns

  1. Advisor. Student: Andrea Fuentes. Electronic, Automatic, and Robotics Engineering. University of Deusto. Bilbao, Basque Country, Spain. Project: “Electric power management and optimization of the distribution of charging stations for electric vehicles connected to the network considered as G2V and V2G. (Sept. 2020-Dec. 2020).
  2. Advisor. Student: Pablo Díez. Physics. University of Basque Country. Bilbao, Basque Country, Spain. Project: “Descent simulator of a suborbital rocket using Machine Learning and Deep Learning Techniques. (June 2020-Sept. 2020).
  3. External advisor. Student: Vianey Campos Salazar. Mechanical Agricultural Engineering. Autonomous University of Chapingo. Mexico State, Mexico. (Jan. 2016-April 2016).

Courses and training received

Specialized, technical or professional training

  1. February 2023. Curso completo de LabVIEW 2023. Udemy. 8 hours.
  2. February 2023. Applied ControlSystems 1: Autonomous car: Math+PID+MPC. Udemy. 18 hours.
  3. November 2022. PID: Bloques funcionales de un sistema de regulación. Udemy. 3.5 hours.
  4. November 2022. Master en Arduino-MATLAB de 0 a Experto. Udemy. 3.5 hours.
  5. November 2022. Introduction to Julia. DataCamp. 4 hours.
  6. November 2022. Deep Reinforcement Learning 2.0. Udemy. 9.5 hours.
  7. Feb 2022. Become a data analyst. LinkedIn Learning Itinerary: Big data basics - Big data basics: Techniques and concepts - Learn big data: Data analytics - Learn big data: Data visualisation - Learn data analytics - Learn big data science: Telling stories with data - Power BI Essentials - Excel Business Intelligence 1: Get and Transform (Power Query) - Python for data science and big data essential - R for big data essentials - Data analyst: Reporting techniques and tools essential - Data analyst: Advanced reporting tools and techniques. 29 h.
  8. Jan 2022. Become a Big Data Specialist for IT. LinkedIn Learning Itinerary: Big Data Fundamentals - Big Data Fundamentals: Techniques and Concepts - Python for data science and big data essentials - R for big data essentials - Introduction to data visualisation - Excel 2016: Charts and data presentation. 16 h 32 min.
  9. Jan 2022. Become a Big Data for Business Professional. LinkedIn Learning Itinerary: Big Data Fundamentals - Big Data Fundamentals: Techniques and Concepts - Big Data Fundamentals: Business Models - Big data: Equipment and solutions for the enterprise - Big data: Active listening - Learn big data: Data analytics - Learn big data: Data visualisation. 11 h 34 min.
  10. May 2021. GitHub for programmers. Linkedin Learning. 1 h 53 min.
  11. Mar. 2021. Simulink from zero. Udemy. 11 hours.
  12. Feb. 2021. Using the Turnitin Plagiarism Tool. University of Deusto. 1 hour.
  13. Dec. 2020. Python & Machine Learning for Financial Analysis. Udemy. 23 hours.
  14. Aug. 2020. Deep Learning A-ZTM: Hands-On Artificial Neural Networks. Udemy. 22.5 hours.
  15. May 2020. Getting Started with AWS Machine Learning. AWS and Coursera. 8 hours.
  16. May 2020. Computer Vision Basics. University at Buffalo, The State University of New York and Coursera. 10 hours.
  17. Feb. 2020. An Introduction to Bayesian Nonparametric Methods. BCAM. 6 hours.
  18. Jan. 2020. Particle Swarm Optimization in MATLAB. Udemy. 1.5 hours.
  19. Sep. 2019. Introduction to Machine Learning. BCAM. 10 hours.
  20. May 2019. Measurement Error and Misclassification in statistical models. BCAM. 10 hours.
  21. Nov. 2018. POH (Prevention of Occupational Hazards) Office staff, administrative and assimilatedAutomotive Technology Centre of Galicia. Automotive Technology Centre of Galicia. 2 hours.
  22. Oct. 2018. Python for Data Science and Machine Learning Bootcamp. Udemy. 22.5 hours.
  23. June 2018. Machine Learning A-ZTM: Hands-On Python & R In Data Science. Udemy. 41 hours.
  24. April 2018. Introduction to R: a free software for statistical analysis. UAL. 20 hours.
  25. March 2017. SPSS as a tool for research. UAL. 10 hours.
  26. Feb. 2017. Matlab advanced workshop for scientific activity. UAL. 15 hours.
  27. Feb. 2017. Matlab workshop for scientific activity. UAL. 10 hours.
  28. Feb. 2016. Publishing support: where and how to publish. UAL. 2 hours.
  29. Dec. 2014. Introduction to ROS (Robots Operating System). UAL. 3 hours.
  30. Nov. 2014. Matlab Fundamentals. UAL. 8 hours.
  31. Nov. 2014. How to cite bibliography: interpretation, normalization and presentation. UAL. 3 hours.
  32. Nov. 2014. Refworks 2.0: New version of the bibliographic reference manager. UAL. 3 hours.
  33. Nov. 2014. Mobile devices. UAL. 3 hours.
  34. Oct. 2014. Use of new virtual platform (Blackboard). UAL. 15 hours.
  35. June 2014. Management and development of work teams with students. UAL. 4 hours.
  36. May 2014. Development and management of surveys with Limesurvey. UAL. 4 hours.
  37. April 2014. Digital signature. UAL. 2 hours.
  38. Dec. 2013. Introduction to the development of Virtual Laboratories. UAL. 8 hours.
  39. June 2013. Assisted Robotics. UAL. 6 hours.
  40. Feb. 2013. Repository of virtual laboratories of AgroAlimentar processes for the teaching of the Automatic in studies of Engineering. UAL. 5 hours.
  41. July 2012. Robust control systems: fundamentals and applications. UAL. 7.5 hours.
  42. May 2012. LabVIEW for automatic and design of systems embedded with myRIO. UAL. 3 hours.
  43. Oct. 2011. Industrial automation. ITSON. 4 hours.
  44. Oct. 2011. Minitab. ITSON. 4 hours.
  45. Oct. 2011. Assisted design with SolidWorks. ITSON. 4 hours.
  46. Nov. 2010. Facilitator Workshop: Module III: Role of the facilitator. ITSON. 12 hours.
  47. Oct. 2010–Nov. 2010. Facilitator Workshop: Module II: Tools for remote interaction. ITSON. 17 hours.
  48. Sep. 2010. Facilitator Workshop: Module I: Effective strategies for student orientation. ITSON. 15 hours.
  49. Feb.2010–March 2010. Editing scientific texts with LaTex. University of Granada. 30 hours.
  50. March 2008. Pattern Recognition (Part II). UNISON. 4 hours.
  51. March 2008. Pattern Recognition (Part I). UNISON. 6 hours.

Language courses

  1. Nov. 2023–Ongoin. French course: Level A2. Alliance Française. 60 h.
  2. May 2023–Oct. 2023. French course: Level A1. Alliance Française. 60 h.
  3. Feb. 2022. Business English: Mastering the online interview. LinkedIn Learning. 46 min.
  4. Jan. 2022–Feb. 2022. English B2: Advance. Lanbide. Basque employment service. 50 h.
  5. Nov. 2021–Dic. 2021. English B2: Intermediate. Lanbide. Basque employment service. 50 h.
  6. Oct. 2021–Nov 2021. English B2: Introduction. Lanbide. Basque employment service. 50 h.
  7. July 2021. English B2 Conversation. Lanbide. Basque employment service. 20 h.
  8. Sep. 2020. English B2 Intensive Course (Online). UAL. 30 h.
  9. June 2020. How to Write and Publish a Scientific Paper (Project-Centered Course). Ecole Polytechnique and Coursera. 10 h.
  10. Oct. 2019 - June 2020. Preparation of English Language at level B2 (First). Official School of Languages of Bilbao. Annual Course.
  11. June 2017. Writing papers in English. UAL. 4 h.
  12. Feb. 2017. Turning teaching experiences into impact publications and where to publish (Part II). UAL. 6 h.
  13. Feb. 2017. Turning teaching experiences into impact publications and where to publish (Part I). UAL. 4 h.

Awards and scholarships awarded

  1. BCAM International Call IC2018 Autumn. I was selected among 27 applicants in the international call for Postdoctoral Fellowship in Artificial Intelligence. Bilbao, Basque Country, Spain. (Jan. 2019).
  2. Mention of Excellence. Award of excellence for the work presented in Session I: Energy. VIII Iberian Congress of Agroengineering. (June 2015).
  3. Fellowship for Researcher Training (FPI) awarded by the Ministry of Economy and Competitiveness (MINECO), Spain. This one has been obtained with the purpose to do the PhD. in Informatics at the University of Almeria. (2011).
  4. Carolina Foundation Scholarship. This one has been obtained with the purpose to study the Master in Physics and Mathematics at the University of Granada and the University of Castilla-La Mancha. (2009).
  5. Esposos Rodríguez Foundation Scholarship. Hermosillo, Sonora, Mexico. (2007-2009).
  6. Scholarship Program of the National Scholarship Program (PRONABES). Hermosillo, Sonora, Mexico. (2007-2009).

Skills & Knowledge

  • Control and Automation. PID Control; Model Predictive Control (MPC); Fuzzy Control; Non Linear Control; Control Systems; PLC Programming; SCADA.
  • Machine Learning. Deep learning; Scikit-learn; TensorFlow; Keras.
  • Mathematical Modelling. ARIMAX models; Neural Networks; Bayesian Networks; Transfer Functions; Regression and Classification Trees.
  • Programming Languages. Matlab/Simulink; Python; Julia; R; LabView; SQL.
  • Software. Microsoft Office; Jupyter; Power BI; SPSS; LaTex; Multisim Electronic WorkBench; Festo FluidSim.
  • Others.
    • Linux; Teaching; Optimization; FAST; Data Mining; Statistic Analysis; Big Data; pySpark; git; Mathematica.
    • (Basic Knowledge in) Hadoop; HTML; CSS; C; C++; C#; Ada.

Languages

  • Spanish. Native language.
  • English. B2 Level in the Common European Framework of Reference for Languages. Not officially examinated.
  • French. B1 Level. Learning.
  • Portuguese. B1 Level in the Common European Framework of Reference for Languages. Examined at the language school of the University of Almeria in 2016.

Contact me

You could reach me by writing an email to the following address.

  • ceelch@gmail.com