Mr Victor Caquilpan Parra
Machine Learning Researcher
School of Public Health
College of Health
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.
| Date | Type | Title | Institution Name | Country | Amount |
|---|---|---|---|---|---|
| 2022 | Scholarship | Becas Chile | ANID | Chile | - |
| 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 |
| 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. Scopus6 WoS5 |
| 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). |
| 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. |
| 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). Santiago, Chile: 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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