Leonardo Chang Fernández is a researcher in the Systems Engineering Department at the Advanced Technologies Application Center (CENATAV), Cuba. He received his BSc in Computer Engineering from the CUJAE University, Cuba in 2007. In 2010 he obtained the MSc degree in Computational Sciences at the National Institute of Astrophysics, Optics and Electronics (INAOE) of Mexico, where he is currently a PhD student in Computational Sciences. He is member of the Cuban Society of Mathematics and Computation and of the Cuban Association for Pattern Recognition since 2007.

MSc. Leonardo Chang Fernández has focused his researches on Object Categorization in Images, but his interests also cover other areas of Computer Vision such as Face Recognition and the Design of Efficient Hardware Architectures for FPGAs and Massively Parallel Implementations on GPUs for Computer Vision Algorithms. He has participated in several international conferences and published articles in high impact journals.

• Object categorization in images
• Face recognition
• Efficient Hardware Architectures on FPGAs for Computer Vision Algorithms
• Massively Parallel Implementations on GPUs for Computer Vision Algorithms

• Member of the Cuban Society of Mathematics and Computing, since 2007
• Member of the Cuban Association for Pattern Recognition, since 2007

• PhD student in Computational Sciences at the National Institute of Astrophysics, Optics and Electronics (INAOE) of Mexico (currently).
• MSc in Computational Sciences at the National Institute of Astrophysics, Optics and Electronics (INAOE) of Mexico (2010).
• BSc in Computer Engineering from the CUJAE University, Cuba (2007). Graduated with Honors.

Courses taught:

• Introduction to Object Oriented Programming in C++ (CUJAE, 2007)
• Database Systems (CUJAE, 2006)

Advising:

Graduated BSc. Students:

• Jasan Alvarez Méndez. Face Image Quality Measures for Face Recognition: facial pose and gaze. Havana University, Cuba. June 2009.
• Mireilis Olema Casuso Barrios. Automatic Face Image Quality Measurement. CUJAE, Havana, Cuba. July 2008.

Current BSc. Students:

• Mayrelis Hernández Durán. Super Resolution for Face Recognition. CUJAE.
• Nelson Hernández Llanes. Face Pose Estimation and Correction. Havana University.

• Leonardo Chang, José Hernández-Palancar, L. Enrique Sucar and Miguel Arias-Estrada, “FPGA-based detection of SIFT interest keypoints”. Machine Vision and Applications. Springer Berlin / Heidelberg. (Junio 2012) DOI=10.1007/s00138-012-0430-8.
• Heydi Méndez Vázquez, Leonardo Chang, Dayron Rizo Rodríguez, Annette Morales-González. “Evaluación de la calidad de las imágenes de rostros utilizadas para la identificación de las personas”. Computación y Sistemas. Vol. 16, No. 2 (2012). 
• Leonardo Chang, Miriam M. Duarte, L. E. Sucar, and Eduardo F. Morales. 2012. “A Bayesian approach for object classification based on clusters of SIFT local features.” Expert Systems with Applications . 39, 2 (February 2012), 1679-1686. DOI=10.1016/j.eswa.2011.06.059 http://dx.doi.org/10.1016/j.eswa.2011.06.059

• Leonardo Chang, Miriam Monica Duarte, Luis Enrique Sucar, and Eduardo F. Morales. “Object Class Recognition using SIFT and Bayesian Networks”. In Grigori Sidorov, Arturo Hernández Aguirre, and Carlos A. Reyes García, editors, MICAI (2), volume 6438 of Lecture Notes in Computer Science, pages 56–66. Springer, 2010.

• Leonardo Chang and José Hernández-Palancar. “A Hardware Architecture for SIFT Candidate Keypoints Detection”. In E. Bayro-Corrochano and J.-O. Eklundh editors, CIARP, volume 5856 of Lecture Notes in Computer Science, pages 95–102. Springer, 2009.

• Jasan Alvarez y Leonardo Chang. “Análisis de la simetría facial como medida de estimación de la pose del rostro”. Memorias del evento COMPUMAT 2009, ISSN 1728-6042, Noviembre 2009.

• Jasan Alvarez, Leonardo Chang y Francisco Silva. “Método de estimación de la dirección de la vista basado en rasgos oculares”. Memorias del evento COMPUMAT 2009, ISSN 1728-6042. Noviembre 2009.

• Leonardo Chang Fernández y José Hernández Palancar. “Reporte Técnico: Reconocimiento automático de rostros usando FPGAs”. RT_013 CENATAV, Fecha del camera-ready: 31 de julio de 2009.

• Ernesto del Toro Hernández, Leonardo Chang, and Alejandro Cabrera Sarmiento. “Implementación de una arquitectura tunelizada para el cálculo de nitidez en imágenes sobre un FPGA”. In 2nd Internacional Symposium on Computing and Electronics. Informática 2009, ISBN: 978-959-286-010-0. 2009.

• Leonardo Chang, Ivis Rodés, Heydi Mendez Vázquez, and Ernesto del Toro. “Best-shot selection for video face recognition using FPGA”. In José Ruiz-Shulcloper and Walter G. Kropatsch, editors, CIARP, volume 5197 of Lecture Notes in Computer Science, pages 543–550. Springer, 2008.

• Leonardo Chang, Ivis Rodés y Heydi Mendez Vázquez. "Obtención de la mejor imagen para el Reconocimiento de Rostros". Memorias del evento RECPAT 2007, ISBN 978-959-286-006-3. Diciembre 2007.

• Leonardo Chang, Ivis Rodés y Heydi Mendez Vázquez. “Obtención de la mejor imagen para el Reconocimiento de Rostros”. Memorias del evento COMPUMAT 2007, ISSN 1728-6042. Noviembre 2007.