Victor Caquilpan Parra

Victor Caquilpan Parra

Australian Institute for Machine Learning

Division of Research and Innovation

My research focuses on medical AI, with a specialization in image translation and image segmentation using multimodal models. I also contribute to the engineering side of machine learning projects, ensuring efficient implementation and deployment. Additionally, I have over five years of professional experience as a Data Analyst/Data Scientist, working on medical and environmental projects.

  • Awards and Achievements
    Date Type Title Institution Name Country Amount
    2022 Scholarship Becas Chile ANID Chile -

  • Education
    Date Institution name Country Title
    2021 - 2023 University of Adelaide Australia Master of Artificial Intelligence
    2014 - 2016 University of Chile Chile Natural Science Engineering
    2009 - 2013 University of Chile Chile Bachelor of Environmental Sciences

  • Journals
    Year Citation
    2024 Morales, R., Marín, L. G., Roje, T., Caquilpan, V., Sáez, D., & Nuñez, A. (2024). Microgrid planning based on computational intelligence methods for rural communities: A case study in the José Painecura Mapuche community, Chile. Expert Systems with Applications, 235, 121179.
    DOI Scopus6
    2019 Caquilpán P., V., Aros G., G., Elgueta A., S., Díaz S., R., Sepúlveda K., G., & Sierralta J., C. (2019). Advantages and challenges of the implementation of a low-cost particulate matter monitoring system as a decision-making tool. Environmental Monitoring and Assessment, 191(11).
    DOI

  • Book Chapters
    Year Citation
    2018 Vargas, C., Caquilpan Parra, V., Hernandez, R., Saez, D., & Cardenas, R. (2018). Methodology for Microgrid/Smart Farm Systems: Case of Study Applied to Indigenous Mapuche Communities. In J. Corrales, P. Angelov, & J. Iglesias (Eds.), Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II Proceedings of the 2nd International Conference of ICT for Adapting Agriculture to Climate Change (AACC'18), November 21-23, 2018, Cali, Colombia. Springer.

  • Conference Papers
    Year Citation
    2020 Castillo, D., Russell, A., Caquilpan, V., & Elgueta, S. (2020). Identification Of Affected High-Altitude Wetlands In The North Chile Using Large Landsat Time Series. In 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS) (pp. 34-39). IEEE.
    DOI
    2017 Caquilpan, V., Saez, D., Hernandez, R., Llanos, J., Roje, T., & Nunez, A. (2017). Load estimation based on self-organizing maps and Bayesian networks for microgrids design in rural zones. In 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) (pp. 1-6). IEEE.
    DOI

Teaching Assistant in Computer Science Foundations (Python) and Machine Learning at the University of Adelaide supports students in tutorials, lab sessions, and assessments by assisting with Python programming, algorithm development, and machine learning concepts.

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