Personal profile
Professional Information
José Delpiano did his BSc in Electrical Engineering at the Pontificia Universidad Católica de Chile (2003) and works at the Universidad de los Andes since 2004.
José is PhD in Electrical Engineering, Universidad de Chile (2013).
He was a Visiting Lecturer at University College London, UK (2015). He has been part of the board of the Chilean chapter of the IEEE Computational Intelligence Society (CIS) several times.
Research interests
His research interests are in the fields of computer vision and image analysis, particularly concerning computational intelligence techniques. Dr Delpiano has worked on motion analysis problems, especially the estimation of optical flow and tracking of objects. He has focused mainly on biological and bioprocess applications. More recently, he has ventured into studying the application of computer vision to problems related to precision agriculture. In the area of computational intelligence, he has experience in genetic algorithms, convolutional neural networks and transfer learning applied to computer vision problems such as classification and segmentation.
Teaching
A cargo del curso de Visión Artificial. Guía memorias de título, tesis de magister y supervisa estudiantes de doctorado.
Education/Academic qualification
University Degree, Ingeniero Civil Electricista, Pontificia Universidad Católica de Chile
PhD, Ingeniería Eléctrica, Universidad de Chile
External positions
Investigador Asociado, Advanced Center of Electrical and Electronic Engineering (AC3E)
1 Oct 2018 → …
Habilitación para la dirección de tesis doctorales
- Habilitado
Proceso de habilitación doctoral
- HABILITACIÓN II-2022
Research Lines
- Research Lines
Fingerprint
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Collaborations and top research areas from the last five years
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FONDECYT REGULAR - 1250842: COMPUTER VISION-BASED CHARACTERIZATION OF URBAN TREES WITH CONSIDERATIONS FOR RISK ASSESSMENT
Delpiano Costabal, J. F. (Principal Investigator)
Agencia Nacional de Investigación y Desarrollo
1/04/25 → 31/03/29
Project: RESEARCH
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CORFO CONTRATO TECNOLOGICO - 17COTE72570: INCORPORACIÓN DE TECNOLOGÍA ELECTRÓNICA INALÁMBRICA PARA MEJORAR LA PRECISIÓN DE UN ARCO FACIAL DIGITAL CINEMÁTICO, QUE MOVILIZA AL SEGMENTO ROBÓTICO DEL ARTICULADOR DENTAL
Biotti Picand, J. L. (Principal Investigator), García, R. (Co-Investigator), Guzmán Venegas, R. A. (Co-Investigator) & Delpiano Costabal, J. F. (Co-Investigator)
Project: RESEARCH
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FONDECYT INICIACIÓN - 11220510: OPTIMIZATION AND CHARACTERIZATION OF OPTICAL FLOW METHODS THAT ARE BASED ON DEEP LEARNING AND APPLICATION TO PROBLEMS FROM BIOMEDICINE
Delpiano Costabal, J. F. (Principal Investigator)
Agencia Nacional de Investigación y Desarrollo
15/03/22 → 14/03/25
Project: RESEARCH
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FONDEF IDeA I+D - CIENCIA APLICADA -ID21I10360: ARBOCENSUS: EVALUACIÓN MASIVA DE ARBOLADO URBANO ASISTIDA POR TECNOLOGÍA
Delpiano Costabal, J. F. (Principal Investigator) & Recabarren Bahamontes, M. (Co-Investigator)
Agencia Nacional de Investigación y Desarrollo
1/01/22 → 31/12/23
Project: INNOVACIÓN Y DESARROLLO
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JOHN Z. DULING GRANT TREE FUND - S/I: COMPUTER VISION FOR HAZARD TREE IDENTIFICATION AND ASSESSMENT
Delpiano Costabal, J. F. (Principal Investigator) & Recabarren Bahamontes, M. (Co-Investigator)
1/01/22 → 15/01/23
Project: INNOVACIÓN Y DESARROLLO
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Convolutional neural networks for tsunami intensity measure prediction from slip and coseismic deformation data
Buenrostro, A. M., Crempien, J. G. F., Jünemann, R., Urrutia, A., Sahli Costabal, F. & Delpiano, J., Jan 2026, In: Engineering Applications of Artificial Intelligence. 165, 113405.Research output: Contribution to journal › Article › peer-review
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Método Para Determinar El Riesgo De Padecer Enfermedades Asociadas A La Salud Mental Mediante El Análisis De Cambios Morfológicos En Células De Microglía
Kurt Baar Zimend, A. (Inventor), Úrsula Wyneken Hempel, I. (Inventor), Luis Prieto Cancino, M. (Inventor), Francisco Delpiano Costabal, J. (Inventor), Lazcano García, P. (Inventor) & Muñoz Eichler, I. (Inventor), 31 Mar 2026, Patent No. PCT/IB2025/062310, Priority date 1 Jan 2024, Priority No. EP 24 216 831.8Research output: Patent
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Método Para Determinar El Riesgo De Padecer Enfermedades Asociadas A La Salud Mental Mediante El Análisis De Cambios Morfológicos En Células De Microglía
Luarte Navarro, A. (Inventor), Úrsula Wyneken Hempel, I. (Inventor), Luis Prieto Cancino, M. (Inventor), Francisco Delpiano Costabal, J. (Inventor), Lazcano García, P. (Inventor) & Muñoz Eichler, I. (Inventor), 31 Mar 2026, Patent No. EP 24 216 831.8, Priority date 1 Jan 2024, Priority No. EP 24 216 831.8Research output: Patent
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Event-based optical flow: Method categorisation and review of techniques that leverage deep learning
Guamán-Rivera, R., Delpiano, J. & Verschae, R., 28 Jun 2025, In: Neurocomputing. 635, 129899.Research output: Contribution to journal › Short survey › peer-review
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Using Image Analysis Techniques for Dust Detection Over Photovoltaic Panels
Funes, G., Peters, E. & Delpiano, J., Jan 2025, In: Journal of Solar Energy Engineering. 147, 4Research output: Contribution to journal › Article › peer-review