Jorge E. Zambrano Ibujés

Education

Ph.D. in Electrical Engineering, Universidad de Chile, 2025
B.S. in Electronics and Instrumentation Engineering, Universidad de las Fuerzas Armadas ESPE, Latacunga, Ecuador, 2015

Work Experience

2026–Present: Assistant Professor
- Universidad Diego Portales
- Teaching and research in computer vision applied to histopathological image analysis.
- Supervisor: Prof. Luciano Ahumada
2024–2026: Postdoctoral Researcher — FONDEF ID24I10408
- Universidad de Chile
- Developed intelligent systems for the detection of illegal products through multimodal integration of text and image data, combining natural language processing and computer vision techniques.
- Supervisor: Prof. Claudio Perez
2026 (Fall): Part-time Lecturer
- Universidad de Chile
- Taught an introductory programming course with a focus on AI agents and their application to software development workflows.
- Supervisor: Prof. Andrés Caba

Skills

Programming: Python, MATLAB
Deep Learning & CV: PyTorch, OpenCV, YOLO, SuperPoint, LightGlue, CNNs, Transformers, LLMs, AI Agents
Research Areas: Computer Vision, Biometrics, Medical Imaging, Feature Matching
Tools: Git, Docker, LaTeX, Jupyter
Teaching: Programming, Image Processing, Artificial Intelligence

Awards and Honors

Doctoral Program — Top Graduate (1st of 7), Grade A
- Ph.D. in Electrical Engineering, Universidad de Chile, 2025
- Ranked 1st among all doctoral graduates of the program in 2025, with the highest final grade (A), as certified by the Faculty of Physical and Mathematical Sciences.
ANID National Doctoral Fellowship (Beca de Doctorado Nacional)
- National Research and Development Agency (ANID), Chile, 2019
- Competitive national fellowship awarded to fund doctoral studies in Chile.

Publications

Deep Learning-Based Differential Diagnosis of Major Depression and Bipolar Disorder Using Microglia-Cellular Sensors and Patient-Derived Small Extracellular Vesicles

J. E. Zambrano, A. Luarte, J. Contreras, J. P. Perez, L. Yantén-Fuentes, M. Prieto, P. Lazcano, U. Wyneken and C. A. Perez, "Deep Learning-Based Differential Diagnosis of Major Depression and Bipolar Disorder Using Microglia-Cellular Sensors and Patient-Derived Small Extracellular Vesicles," in Scientific Reports, vol. 16, no. 1, p. 11679, 2026, doi: 10.1038/s41598-026-47476-9.

Iris Recognition Using an Enhanced Pre-Trained Backbone Based on Anti-Aliased CNNs

J. E. Zambrano, J. I. Pilataxi, C. A. Perez and K. W. Bowyer, "Iris Recognition Using an Enhanced Pre-Trained Backbone Based on Anti-Aliased CNNs," in IEEE Access, vol. 12, pp. 94570-94583, 2024, doi: 10.1109/ACCESS.2024.3425648.

Improved Search in Neuroevolution Using a Neural Architecture Classifier With the CNN Architecture Encoding as Feature Vector

J. I. Pilataxi, J. E. Zambrano, C. A. Perez and K. W. Bowyer, "Improved Search in Neuroevolution Using a Neural Architecture Classifier With the CNN Architecture Encoding as Feature Vector," in IEEE Access, vol. 12, pp. 11987-12000, 2024, doi: 10.1109/ACCESS.2024.3355804.

Iris Recognition Using Low-Level CNN Layers Without Training and Single Matching

J. E. Zambrano, D. P. Benalcazar, C. A. Perez and K. W. Bowyer, "Iris Recognition Using Low-Level CNN Layers Without Training and Single Matching," in IEEE Access, vol. 10, pp. 41276-41286, 2022, doi: 10.1109/ACCESS.2022.3166910.

3D Iris Recognition Using Spin Images

D. P. Benalcazar, D. A. Montecino, J. E. Zambrano, C. A. Perez and K. W. Bowyer, "3D Iris Recognition Using Spin Images," in 2020 IEEE International Joint Conference on Biometrics (IJCB), pp. 1-8, 2020, doi: 10.1109/IJCB48548.2020.9304890.

A 3D Iris Scanner From a Single Image Using Convolutional Neural Networks

D. P. Benalcazar, J. E. Zambrano, D. Bastias, C. A. Perez and K. W. Bowyer, "A 3D Iris Scanner From a Single Image Using Convolutional Neural Networks," in IEEE Access, vol. 8, pp. 98584-98599, 2020, doi: 10.1109/ACCESS.2020.2996563.

Implementation of a WirelessHART Training System for Upgrading Industrial Automation

I. Escobar, E. Pruna, O. Chang, A. Navas, J. E. Zambrano and G. Avila, "Implementation of a WirelessHART Training System for Upgrading Industrial," in IEEE Latin America Transactions, vol. 14, no. 6, pp. 2663-2668, June 2016, doi: 10.1109/TLA.2016.7555235

Service and Leadership

Reviewer, IEEE Access