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Table of contents

Basics

Name Iván de Paz Centeno
Label PhD in Computer Science (Artificial Intelligence)
Url https://ipazc.com/
Summary Iván de Paz Centeno is a computer scientist from Spain, holding a Ph.D. in Computer Science with a specialization in Artificial Intelligence. He has made significant scientific contributions to the field of Artificial Intelligence. Currently based in León, Castilla y León, Spain, Iván has a robust background in both industry and academia. His expertise lies in developing Artificial Intelligence models for various applications, focusing on energy time series analysis, computer vision, and machine learning. He is a dedicated learner, problem solver, and collaborator, known for delivering impactful solutions.

Work

  • 2024.10 - PRESENT
    Chief Artificial Intelligence Officer (CAIO)
    SMARKIA ENERGY SL
    Leading the AI strategy across the organization, implementing AI-driven solutions to optimize processes and innovation.
    • Member of the executive leadership team, driving AI integration across all company departments.
    • Leading a team of AI researchers and engineers to develop scalable machine learning models.
    • Spearheading initiatives for AI ethics and governance within the company.
  • 2022.01 - 2024.10
    Lead Research Scientist
    SMARKIA ENERGY SL
    Led a team of 4 PhD-level AI researchers in developing innovative AI solutions for energy management.
    • Directed research projects focused on AI model development for energy time series analysis.
    • Collaborated with cross-functional teams to integrate AI solutions into business operations.
    • Mentored and guided team members in advancing AI methodologies.
  • 2018.07 - 2021.12
    AI Research Scientist
    SMARKIA ENERGY SL
    Conducted research and development of AI models applied to energy time series.
    • Topics covered: data quality improvement (absence imputation, granularity standardization, super-resolution, anomaly detection).
    • Applied Machine Learning and Deep Learning techniques to energy data.
    • Utilized Python, Pandas, Numpy, TensorFlow, Scikit-learn, Jupyter notebooks, Matplotlib, and Plotly.
    • Developed AI models using Azure Machine Learning, Azure Blob Storage, and Azure Container Apps.
  • 2016.07 - 2018.03
    Researcher in Computer Vision and Machine Learning
    University of Leon / INCIBE
    Research into creation of computer vision models based on Deep Learning applied to cybersecurity contexts in police environments.
    • Topics covered: face detection, age and gender estimation, face recognition.
    • Computer Vision, Machine Learning, and Deep Learning.
    • Python, Caffe, OpenCV, OpenBR, TensorFlow, Flask, Docker.
  • 2015.11 - 2016.07
    Software Developer
    INDRA
    Development of an Android system for remote management of physical signal jammers designed for Spanish state law enforcement agencies.
    • Topics covered: Android, signal management.
    • Java, C, C++.
  • 2015.03 - 2015.10
    Developer and research internship
    University of Leon
    Development of a portable artificial intelligence system comprising face detection, recognition, and age and gender estimation, designed for small appliances.
    • Topics covered: face detection, face recognition, age estimation, gender estimation.
    • Python, OpenCV, OpenBR, HTML, Javascript, JQuery, CSS.
    • Raspberry PI2, ODroid U3.
  • 2014.10 - 2015.06
    Developer internship
    Hewlett-Packard
    Development of a surveillance solution for remote cameras to detect movement, store video in the cloud, and notify clients with alarms.
    • Topics covered: IP/USB Cameras, codecs for video compression, data storage, phone events.
    • C#, Java, Android, HTML, Javascript, JQuery, CSS.
    • IP/USB Cameras, Raspberry PI2.
    • Dropbox cloud.

Education

  • 2016 - 2023
    PhD in Artificial Intelligence
    Universidad de León, León, Spain
    Production and Computer Engineering (Artificial Intelligence)
    • Artificial Intelligence, Machine Learning, Deep Learning
    • Energy Time Series, Energy Load Profiles, Photovoltaic Systems
    • Forecasting, Comparison, Synthesis, Prediction, Anomaly detection, Clustering
  • 2015 - 2017
    Master's degree in Computer Science
    Universidad de León, León, Spain
    Computer Science
  • 2010 - 2015
    Bachelor's degree in Computer Science
    Universidad de León, León, Spain
    Computer Science

Awards

  • 2023.06
    PhD Dissertation with Distinction
    University of León
    Received a Cum Laude award for the PhD dissertation with an industrial mention.
  • 2018.03
    Extraordinary End-of-Career Award
    Universidad de León
    Honored with the Extraordinary End-of-Career Award for the Master's degree in Computer Science.
  • 2016.11
    1st Position in Hack2Progress
    CIC Consulting Informático
    Achieved the first position in the Hack2Progress 2016 hackathon held in Santander, Spain.
  • 2016.02
    2nd Position in HackForGood
    HackForGood
    Secured the second position in the HackForGood 2016 hackathon held in León, Spain.
  • 2015.07
    Best IT Project
    HP (Observatory)
    Received an award for developing the best IT project for the HP Observatory in 2015, located in León, Spain.

Certificates

Convolutional Neural Networks
Deeplearning.ai through Coursera 2018-11
Structuring Machine Learning Projects
Deeplearning.ai through Coursera 2018-06
Neural Networks and Deep Learning
Deeplearning.ai through Coursera 2018-05
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Deeplearning.ai through Coursera 2018-05

Publications

Languages

Spanish
Native speaker
English
Fluent