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publications
Implementation of a WirelessHART Training System for Upgrading Industrial Automation
Published in IEEE Latin America Transactions, 2016
A hands-on training platform that emulates a WirelessHART industrial network for teaching wireless process-control concepts to engineering students.
Recommended citation: 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.
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A 3D Iris Scanner From a Single Image Using Convolutional Neural Networks
Published in IEEE Access, 2020
A single-image 3D iris reconstruction method based on a depth-estimation CNN, trained on synthetic and real iris datasets, that improves recognition performance by 48% over the standard 2D iris code.
Recommended citation: 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.
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3D Iris Recognition Using Spin Images
Published in 2020 IEEE International Joint Conference on Biometrics (IJCB), 2020
A 3D iris recognition method that applies spin image descriptors to three-dimensional iris surface models, enabling recognition robust to the geometric distortions present in standard 2D approaches.
Recommended citation: 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.
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Iris Recognition Using Low-Level CNN Layers Without Training and Single Matching
Published in IEEE Access, 2022
A deep-learning approach to iris recognition that uses features from the low-level layers of pretrained CNNs without further training, combined with bit-shifting for robustness against pupil dilation.
Recommended citation: 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.
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Improved Search in Neuroevolution Using a Neural Architecture Classifier With the CNN Architecture Encoding as Feature Vector
Published in IEEE Access, 2024
A neuroevolution method that accelerates architecture search by training a classifier on CNN architecture encodings as feature vectors, reducing evaluation cost within genetic algorithm-based search.
Recommended citation: 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.
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Iris Recognition Using an Enhanced Pre-Trained Backbone Based on Anti-Aliased CNNs
Published in IEEE Access, 2024
An iris recognition method that enhances a pretrained backbone with anti-aliasing techniques to improve shift-invariance, combined with bit-shifting for robustness against pupil dilation.
Recommended citation: 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.
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Deep Learning-Based Differential Diagnosis of Major Depression and Bipolar Disorder Using Microglia-Cellular Sensors and Patient-Derived Small Extracellular Vesicles
Published in Scientific Reports, 2026
A deep learning framework using microglial cells as biosensors and DenseNet121 to differentiate major depressive disorder, bipolar disorder, and healthy controls from fluorescence microscopy images of patient-derived extracellular vesicles.
Recommended citation: 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.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Advanced Programming (EL4203-1)
Undergraduate course, Universidad de Chile, Department of Electrical Engineering, 2026
Technologies and Tools
Programming (CIT1100-CA15)
Undergraduate course, Universidad Diego Portales, Escuela de Ingeniería Informática, 2026
Technologies and Tools
Programming (CIT1100-CA20)
Undergraduate course, Universidad Diego Portales, Escuela de Ingeniería Informática, 2026