I am an AI Research Scientist, Data Scientist, and Software Engineer passionate about developing intelligent, interpretable, and scalable solutions. My expertise spans machine learning, time series analysis, predictive modelling, software engineering, and applied AI for healthcare and assistive technologies.

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Education

• The University of Melbourne, Melbourne, Australia
  • Doctor of Philosophy in Computer Science, Dec 2017 - Jun 2023
    • Thesis: “Scalable and Explainable Time Series Classification”
    • Supervisors: Prof Lars Kulik and Assoc Prof Jianzhong Qi
• The University of Melbourne, Melbourne, Australia
  • Master in Computer Science (with Distinction), Feb 2015 - Nov 2016
    • Thesis: “Automatic caloric expenditure estimation with smartphone’s built-in sensors”
    • Supervisors: Prof Lars Kulik and Dr Masud Moshtaghi
• Escuela Superior Politécnica del Litoral (ESPOL), Guayaquil, Ecuador
  • Bachelor in Electronics and Telecommunications, Mar 2004 - Dec 2008

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Publications

• “Fast and Accurate Time Series Classification Through Supervised Interval Search”
  • Presented in the 2020 IEEE International Conference on Data Mining (ICDM) [A* conference], pp. 948-953. Code
• “Fast, Accurate and Explainable Time Series Classification Through Randomization”
  • Published in Data Mining and Knowledge Discovery (DMKD) [Q1 journal], Volume 38, pages 748–811, (2024). Code

• “PULSAR: Advancing Interval-Based Time Series Classification to State-of-the-Art Performance”. Accepted for presentation at the 2025 IEEE International Conference on Data Mining (ICDM) [A* conference]. To appear.

• “Ordinal Embedding for Collaborative Filtering: A Unified Regularization for Enhanced Generalization and Interpretability”. Accepted for presentation at the 2025 ACM International Conference on Information and Knowledge Management (CIKM) [A conference]. To appear.

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