My Curriculum Vitae

Education

• M.S. in Computer Science, Universidad de Castilla-La Mancha (Spain).
• Ph.D. in Computer Science, Universidad de Castilla-La Mancha (Spain).
  • Thesis: Contributions to the advancement of wireless indoor localization techniques: signal characterization and distributed computing.

Work experience (main)

• 2023 - Current: Professor / Research. Artificial Intelligence Department. Universidad Universidad Nacional de Educación a Distancia (UNED) - Spain.
• 2021 - 2023 Current: Postdoctoral Research fellowship. Ontolgoy Engieneering Group. Artificial Intelligence Department. Universidad Politécnica de Madrid (UPM) - Spain.
• 2020: Professor. Computer Science School. Unviersidad de Lima (Peru).
• 2019 - 2020: Head of Office. Technology Infrastructure Office. Ministry of Education (Peru).
• 2014 - 2019: Computer Science Professor. Computer Science School. Unviersidad Nacional de Ingeniería (Peru).
• 2015 - 2019: Head of Office. Center of Information Technology and Communication. Unviersidad Nacional de Ingeniería (Peru).

Research lines

• Wireless Sensor Networks
  • Indoor Localization
  • Fog/Edge Computing
  • Internet of Things
• Artificial Intelligence
  • Data Science
  • Pattern Recognition
  • Computer Vision

Udemy Courses

Aplicación de GeoGebra en el Aula. Desde cero hasta avanzado.

January 08, 2023

Geogebra at Curso de especialista, Madrid, Spain

Textos Científicos con LÁTEX. De 0 a Experto.

January 09, 2023

Textos científicos Látex at Curso de especialista, Madrid, Spain

Programación con el Lenguaje Estadístico R. De 0 a Experto.

January 10, 2023

Inteligencia Artificial at Curso de especialista, Madrid, Spain

Machine Learning para Investigación con WEKA. De 0 a Experto.

January 11, 2023

Inteligencia Artificial at Curso de especialista, Madrid, Spain

Deep Learning para Lenguaje Natural y Series Temporales en R.

January 12, 2023

Inteligencia Artificial at Curso de especialista, Madrid, Spain

Deep Learning para visión por computador con R y Keras.

January 13, 2023

Inteligencia Artificial at Curso de especialista, Madrid, Spain

Deep Learning para datos tabulares con R y Keras.

January 14, 2023

Inteligencia Artificial at Curso de especialista, Madrid, Spain

Machine Learning con R. Data Analytics de básico a experto.

January 15, 2023

Inteligencia Artificial at Curso de especialista, Madrid, Spain

Machine Learning con Python. Aprendizaje Automático Avanzado.

January 16, 2023

Inteligencia Artificial at Curso de especialista, Madrid, Spain

Deep Learning con Python y Keras. Redes Neuronales avanzado.

January 17, 2023

Inteligencia Artificial at Curso de especialista, Madrid, Spain

Deep learning con R y Keras. Redes Neuronales avanzado.

January 18, 2023

Inteligencia Artificial at Curso de especialista, Madrid, Spain

Máster de Especialista en Ciencia de Datos con el Lenguaje R

January 19, 2023

Inteligencia Artificial at Máster de Especialista, Madrid, Spain

Máster de especialista en Ciencia de Datos con Python

January 20, 2023

Inteligencia Artificial at Máster de Especialista, Madrid, Spain

Máster Especialista en Machine Learning Ensemble con Python

January 21, 2023

Inteligencia Artificial at Máster de Especialista, Madrid, Spain

Máster Especialista de Deep Learning en Python con PyTorch

January 21, 2023

Inteligencia Artificial at Máster de Especialista, Madrid, Spain

Máster de especialista en Procesamiento del Lenguaje Natural con Python

May 09, 2023

Inteligencia Artificial at Máster de Especialista, Madrid, Spain

Books, Software & Patents

Book: GeoGebra en el Aula. Aplicaciones Matemáticas aplicadas al aula con GeoGebra

Software: TINTOlib - Python library for transforming tabular data into images with 2-Dimensional Convolutional Neural Networks

Software: TINTO - Converting Tidy Data into Image for Classification with 2-Dimensional Convolutional Neural Networks

Patent: Electronic device

Publications

• All publications can be found in the following academic databases:
  • My personal website
  • Google Scholar
  • Scopus
  • Web of Science

Competitive R&D&i projects:

• Team member. “Development and improvement of applications, services and infrastructures in HPC and data centres”. Founded by State Agency for Investigation. PID2021-123627OB-C52. Sept. 2022 – Sept. 2025. Spain.
• Team member. “Supercapacitor-based charging system based on hierarchical carbon hybrids / conductive polymers / metal oxides for application in small electric vehicles and wireless devices”. Founded by FONDECYT and World Bank. 026-FONDECYT-BM-INC.INV. 2020 – 2022. Peru.
• Team member. “Development of supercapacitors for the storage of energy from microbial fuel cells. Potential applications in portable devices and led luminaires in rural areas”. Founded by FONDECYT. 401-FONDECYT. 2020 – 2023. Peru.
• Team member. “AgIoT: Agricultural internet of things and data analytics to make better decisions in the precision agriculture context” con 9 países asociados. Founded by CYTED. Link: www.cyted.org/AgIoT. 2020 – 2022.
• Principal Researcher. “Ubiquitous Smart Technologies for a 21st century Ibero-American city”. Founded by FONDECYT. 138-2017-FONDECYT. 2017 – 2020. Peru.
• Principal Researcher. “Citizen Safety and Road Applications in a Smart City for tracking and geolocation with prototyping at the Universidad Nacional de Ingeniería”. Founded by Innóvate Perú / FINCyT. PIAP-363. 2014 – 2017. Peru.
• Team member. “Techniques for improving performance, energy consumption and management of server resources. Optimization of coding and distribution of the multimedia content”. Founded by Ministry of Science and Technology (CICYT). TIN2015-66972-C05-2-R. Enero 2017 – Diciembre 2018. Spain.
• Team member. “Validation of a microgravity machine measuring the levels of genetic expression coming from microarrays using parallel programming algorithms in a GRID computing architecture”. Founded by Fondo para la Innovación, Ciencia y Tecnología (FINCyT). PIAP-1-P-622-13. 2013-2016. Peru.

Teaching (main)

• Doctoral courses:
  • 2021-2022. Research Methodology, PhD in Computer Science, Universidad de Castilla-La Mancha. Spain.
  • 2021-2022. Artificial Neural Networks and Deep Learning, PhD in Computer Science, Universidad de Almería. Spain.
• Master courses:
  • 2023-Current. Data mining & Deep Learning, MSc in Artificial Intelligence, Universidad Nacional de Educación a Distancia (UNED). Spain.
  • 2023-Current. Machine Learning II & Deep Learning, MSc in Engineering and Data Science, Universidad Nacional de Educación a Distancia (UNED). Spain.
  • 2020-2022. International Seminar I - Artificial Intelligence, MSc in Strategic Content Management, Universidad de Lima. Peru.
  • 2019-2020. Machine Learning & Data Mining, MSc in Computer Science, Universidad Nacional de Ingeniería. Peru.
• Undergraduate courses:
  • 2022-2023. Probability and statistics I, BSc in Computer Science, Universidad Politécnica de Madrid. Spain.
  • 2021-2021. Workshop on Research Proposal, BSc in Computer Science, Universidad de Lima. Peru.
  • 2014-2020. Network management, BSc in Computer Science, Universidad Nacional de Ingeniería. Peru.
  • 2015-2020. Thesis Seminar, BSc in Computer Science, Universidad Nacional de Ingeniería. Peru.
  • 2013-2017. Fundamentals of programming, BSc in Computer Science, Universidad Nacional de Ingeniería. Peru.
  • 2015-2017. Programming on mobile devices, BSc in Computer Science, Universidad Nacional de Ingeniería. Peru.
  • 2013-2014. Algorithms, BSc in Computer Science, Universidad Nacional de Ingeniería. Peru.