Estefania Alfaro Mejia

 is a PhD student in Electrical Engineering in the University of Puerto Rico at Mayaguez (UPRM). She has a bachelor’s degree in Electronic Engineering from Universidad del Quindio-Colombia in 2015 and a master’s degree in Engineering from Universidad del Valle-Colombia in 2019. Her areas of interest are image processing, signal processing, machine learning, and deep learning. She is working on improving the performance of spectral unmixing for endmembers extraction using deep learning architectures.

Anibal Romney (Member, IEEE)

Received the M.S. degree in electrical engineering from the University of Puerto Rico at Mayagüez (UPRM), Mayagüez, PR, USA, where he is currently pursuing the Ph.D. degree in bioengineering. In 2012, he became a Full Professor at the University of Puerto Rico at Aguadilla. His research interests include machine learning, molecular biology, neuroscience, biosensors, and robotics. In 2001, he was awarded the NSF grant in communications and information technologies. As a Co-PI of a three-year project, he has enhance the preparation of underserved students for employment in the fields of manufacturing communications and information technologies industries.

Jairo Orozco Sandoval

is a PhD student in Electrical Engineering in the University of Puerto Rico at Mayaguez (UPRM). He has a bachelor’s degree in Physics from Universidad del Atlántico Barranquilla-Colombia in 2016 and a master’s degree in Physics from UPRM in 2019.  His areas of interest are signal processing, patter recognition, machine learning and condensed matter physics. He has 5 refereed journal publications in machine learning.

Victor Diaz

is a PhD student in Electrical  Engineering in the University of Puerto Rico at Mayaguez (UPRM). He has a bachelor’s degree in Mathematics and Electrical Engineering from Universidad Nacional Autónoma de Honduras in 2015 and a master’s degree in Mathematics from University of Puerto Rico in 2019. His research interests are differential equations, hyperspectral image processing, and deep learning. 

Jaime Yeckle

received the M.S. degree in Computer Engineering from University of Puerto Rico at Mayagüez (UPRM), PR, and the B.S. degree in Electronic Engineering from Antenor Orrego University, Peru. He is currently working toward the Ph.D. degree at the School of Electrical and Computer Engineering, UPRM, Puerto Rico. Also, He is currently an Assistant Professor in the Electrical and Computer Engineering Department at Interamerican University of Puerto Rico. His research interests include machine learning, biomedical signal processing, and automatic sleep staging.

Kevin A García-Gallardo

is a Colombian Physicist, and Ph.D. student in University of Puerto Rico at Mayagüez (UPRM) in the Electrical Engineering program. He is broadly interested in Deep Learning Methods, Image Processing, and Signal Processing. His dissertation studies are focused on Image Segmentation with Graph Convolutional Networks. García holds a Master of Science Degree in Physics from UPRM, and a Bachelor of Science degree in Physics from “Universidad del Atlántico” in Barranquilla, Colombia.

Liz Teran Herrera

is a PhD student in  the  Bioengineering graduate program. She has a Bachelor’s degree in Mathemathics from Universidad del Atlantico-Colombia in 2010 and a  master’s degree in Mathematical Statistics  from UPRM in 2017. Her areas of interest are image processing and  machine learning.