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Christopher Paul Ley

Resercher

Centre of Mathematical Modelling

Santiago, Chile

Líneas de Investigación


Research applications of Artificial Intelligence (AI) and Deep Learning (DL). Specifically Continuous Time Dynamic Graph Neural Networks (Asynchronous Graphs) and generally Geometric Deep Learning.

Educación

  •  Artificial Intelligence and Deep Learning, UNIVERSIDAD DE CHILE. Chile, 2021
  •  Mechatronics, UNIVERSITY OF NEWCASTLE. Australia, 2012

Experiencia Académica

  •   Researcher Full Time

    UNIVERSIDAD DE CHILE

    Faculty of Physical and Mathematical Sciences

    Santiago, Chile

    2023 - At present

  •   Researcher Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Valparaiso, Chile

    2022 - 2023

Experiencia Profesional

  •   Deep Learning & Artificial Intelligence Researcher Full Time

    Advanced Center for Electrical and Electronic Engineering

    Valparaiso, Chile

    2022 - 2023

  •   Deep Learning & Artificial Intelligence Researcher Full Time

    Centre of Mathematical Modelling

    Santiago, Chile

    2023 - At present

  •   Deep Learning Research Other

    Machina Doctrina

    Santiago, Chile

    2017 - At present

  •   Learning Facilitator Part Time

    MIT - xPro

    Boston, Estados Unidos

    2022 - Not Available

  •   Senior Deep Learning Engineer Full Time

    Continental AG

    Budapest, Hungría

    2021 - 2022

Formación de Capital Humano


I teach "Mastering Deep Learning" at MIT xPro



 

Article (3)

Lithium-ion battery State-of-Latent-Energy (SoLE): A fresh new look to the problem of energy autonomy prognostics in storage systems

Rozas, Heraldo; Troncoso-Kurtovic, Diego; Ley, Christopher P.; Orchard, Marcos E.

Article ISI
JOURNAL OF ENERGY STORAGE  (2021)

Simultaneous inference of Lithium-Ion battery polarising impedance surface and capacity degradation using a Hybrid Neural Adaptive State Space Model

Ley, Christopher P.; Orchard, Marcos E.

Article ISI
JOURNAL OF ENERGY STORAGE  (2021)

Chi-squared smoothed adaptive particle-filtering based prognosis

Ley C.P.; Orchard, M.E.

Article ISI SCOPUS
MECHANICAL SYSTEMS AND SIGNAL PROCESSING  (2017)

ConferencePaper (3)

Asynchronous Graph Generators

Ley, Christopher P.; Felipe A. TOBAR

ConferencePaper Under Review at ICLR 2024
 (2023)

Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection

Ley, Christopher P.; Silva, Jorge F.

ConferencePaper Under review CVPR 2024
 (2023)

The Impact of Lithium-Ion Battery Polarising Impedance Modelling on End-of-Discharge Prognosis Accuracy

Ley C.P.; Orchard M.E.

ConferencePaper ISI SCOPUS
IFAC PAPERSONLINE  (2018)

6
Christopher Ley

Resercher

Faculty of Physical and Mathematical Sciences of the University of Chile

Centre of Mathematical Modelling

Santiago, Chile

3
Marcos Orchard

Professor

Electrical Engineering

Universidad de Chile

Santiago, Chile

1
Heraldo Rozas

Graduate research assistant

Gatech

Atlanta, Estados Unidos