Dr. Miguel Velez-Reyes is Professor and Chair of the UTEP Department of Electrical and Computer Engineering. His research is in sensor and signal analytics, ad remote sensing.

• SPIE Community Champion - SPIE (05/01/2021-05/31/2021)
• Inducted to Eta Kappa Nu (HKN) Honor Society - IEEE HKN (UTEP Zeta Delta Chapter) (05/01/2020-05/31/2020)
• First Sloan Lecturer - University of Puerto Rico at Mayaguez (03/14/2019)
• George W. Edwards, Jr./El Paso Electric Distinguished Professor in Engineering - El Paso Electric (02/20/2014)
• Elected Fellow - SPIE (01/01/2010-12/31/2010)
• Elected Fellow - Academy of Arts and Sciences of Puerto Rico (11/01/2005-11/30/2005)
• Distinguished Researcher in Science and Technology - University of Puerto Rico (12/01/2000-12/31/2000)
• Senior Member - Institute for Electrical and Electronic Engineers (05/01/2000-05/31/2000)
• Walter Fee Outstanding Young Engineer Award - IEEE Power Engineering Society (01/01/1999-12/31/1999)
• Presidential Early Career Award for Scientists and Engineers - White House (11/03/1997)
• Elected Member - MIT Chapter of the Sigma Xi Honor Society (01/01/1992-12/31/1992)
• Grass Instruments Fellowship - MIT (01/01/1992-12/31/1992)
• Fellowship - AT&T Cooperative Research Fellowship Program (01/01/1985-12/31/1985)
• Elected Member - Tau Beta Pi Honor Society PR Alpha Chapter (01/01/1984-12/31/1984)
• Elected Member - UPR Mayaguez Chapter of Phi Kappa Phi Honor Society (01/01/1983-12/31/1983)

• Ph D in Electrical Engineering, Massachusetts Institute of Technology (1992)
• MS in Electrical Engineering, Massachusetts Institute of Technology (1988)
• BS in Electrical Engineering, University of Puerto Rico at Mayaguez (1984)

• Improving the resilience of large-scale power systems using distributed static series compensators International Journal of Electrical Power & Energy Systems 145 (2023), Izaz Zunnurain, Yuanrui Sang, Paras Mandal, Miguel Velez-Reyes, Jose F. Espiritu Nolasco.
• Understanding Non-Resolved Space Object Signatures for Space Domain Awareness Advanced Maui Optical and Space Surveillance Technologies (AMOS) (2022), Miguel Velez-Reyes, Hector Erives, Aryzbe Najera, Francis Chun, Plis Elena, Gregory Badura, Jacqueline Reyes, Michael Gartley, Douglas Hope, Ethan M. Albrecht, Kody A. Wilson, David Strong.
• Impact of a Step Based Tutoring System on Student Learning at The University of Texas at El Paso 2022 ASEE Annual Conference & Exposition (2022), Ana Chavez, Hector Erives, Miguel Velez-Reyes, Brian Skromme.
• Using Simulation Models to Study Multi/Hyperspectral Remote Sensing of Unresolved Resident Space Objects Algorithms, Technologies and Applications for Multispectral and Hyperspectral Imaging XXVIII (2022), Aryzbe Najera, Hector Erives, Miguel Velez-Reyes, Laura Hernandez-Torres.
• Remote Sensing of Tundra Ecosystems using High Spectral Resolution Reflectance: Opportunities and Challenges Journal of Geophysical Research - Biogeosciences https://www.essoar.org/pdfjs/10.1002/essoar.10508585.1 (2022), Peter R. Nelson, Andrew J. Maguire, Zoe P. , Erica L. Orcutt, Dedi (Daryl) Yang, Shawn P. Serbin, Gerald V. Frost, Matthew J. Macander, Troy S. Magney, David R. Thompson, Jonathan Wang, Steven F. Oberbauer, Sergio A. Vargas Zesati, , Scott J. Davidson, Howard Epstein, Steven Unger, Petya K. Campbell, Nimrod Carmon, Miguel Velez-Reyes, K. Fred Huemmrich.
• Automated Semantic Segmentation of Arctic Shorelines using High-Resolution Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches Remote Sensing 13 22 (2021), Bibek Aryal, Stephen Escarzaga, Sergio A. Vargas Zasati, Miguel Velez-Reyes, Olac Fuentes, Craig E. Tweedie.
• Studying the Potential of Hyperspectral Unmixing for Extracting Composition of Unresolved Space Objects using Simulation Models 2021 Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference (2021), Jiarui Yi, Miguel Velez-Reyes, Hector Erives.
• A Super Department Model for Multi-University Collaboration 2021 ASEE Virtual Annual Conference Content Access (2021), Kenneth Connor, Pamela Leigh-Mack, Craig Scott, Mohamed Chouikha, John Kelly, Miguel Velez-Reyes, Shiny Abraham, Megan Bekolay, Otsebele Nare, Abdelnasser Eldek, Mandoye Ndoye.
• Mini-Workshop Series for Minority Serving Institutions with ECE Programs 2021 ASEE Virtual Annual Conference Content Access (2021), Kenneth A. Connor, Craig J. Scott, Russell Korte, Barry J. Sullivan, Miguel Velez-Reyes.
• Work in Progress on a Model to Improve the Preparation and Transition of Hispanic STEM Doctoral Students into Community College Faculty Positions-Lessons Learned 2021 ASEE Virtual Annual Conference Content Access (2021), Miguel Velez-Reyes, Ivonne Santiago, Victor M. Garcia, Irma Y. Torres-Catanach, Dawn M. Horton, Yajaira Mejia, Dugwon Seo, Jorge E. Gonzalez, Joseph Barba, Fenot Aklog, Fred Moshary, Jeff Sivils, Yasser Hassebo.
• ECE@HSI WORKSHOP SERIES (2021), Miguel Velez-Reyes, Robert C. Roberts, Rafael Rodriguez-Solis, Miguel A. Goenaga-Jimenez.
• Hyperspectral Unmixing for Remote Sensing of Unresolved Objects 2020 Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference (2020), Miguel Velez-Reyes, Jiarui Yi.
• The Inclusive Engineering Consortium Stakeholders Workshop 2020 ASEE Virtual Annual Conference Content Access (2020), John C. Kelly, Mohamed F. Chouikha, Craig J. Scott, Kenneth A. Connor, Demetris Geddis, Mandoye Ndoye, Shiny Abraham, Miguel Velez-Reyes, Saleh Zein-Sabatto, Raziq Yaqub.
• Work in Progress: H-AGEP - A Model to Improve the Preparation and Transition for Hispanic STEM Doctoral Students into Community College Faculty Positions 2020 ASEE Virtual Annual Conference Content Access (2020), Miguel Velez-Reyes, Fenot Aklog, Dawn Horton, Yajaira Mejia, Ivonne Santiago, Jorge Gonzalez, Jeffrey Sivils, Harry H. Meeuwsen, Joseph Barba, Fred Moshary.
• Simplified simulation of non-resolved objects in hyperspectral remote sensing for space situational awareness Proceedings of SPIE 11392 (2020), Jiarui Yi, Miguel Velez-Reyes.
• Evaluating column subset selection methods for endmember extraction in hyperspectral unmixing Proceedings of SPIE 11392 (2020), Maher Aldeghlawi, Mohammed Q. Alkhatib, Miguel Velez-Reyes.
• Evaluating the effect of band subset selection in SLIC superpixel segmentation Proceedings of SPIE 11392 (2020), Pavithra Pochamreddy, Mohammed Q. Alkhatib, Miguel Velez-Reyes.
• Improved Spatial-Spectral Superpixel Hyperspectral Unmixing Remote Sensing 11 20 (2019), Mohammed Q. Alkhatib, Miguel Velez-Reyes.
• Data Fusion Based Hybrid Deep Neural Network Method for Solar PV Power Forecasting 2019 North American Power Symposium (NAPS) (2019), Dan A. Rosa de Jesus, Paras Mandal, Miguel Velez-Reyes, Shantanu Chakraborty, Tomonobu Senjyu.
• Effects of Region size on superpixel-based unmixing 2019 10th Workshop of Hyperspectral Image and Signal Process: Evolution in Remote Sensing (WHISPERS) (2019), Mohammed Q. Alkhatib, Miguel Velez-Reyes.
• Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXV SPIE The International Society for Optics and Photonics 10644 (2019), Miguel Velez-Reyes, David Messinger.
• Data Fusion Based Hybrid Deep Neural Network Method for Solar PV Power Forecasting (2019), De Jes\'us, Dan A Rosa, Paras Mandal, Miguel Velez-Reyes, Shantanu Chakraborty, Tomonobu Senjyu.
• Superpixel-based Hyperspectral Unmixing with Regional Segmentation Proceedings of the 2018 IEEE Geoscience and Remote Sensing Symposium (2018), Mohammed Alkhatib, Miguel Velez-Reyes.
• Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV SPIE The International Society for Optics and Photonics 10644 (2018), Miguel Velez-Reyes, David Messinger.
• Low-dimensional enhanced superpixel representation with homogeneity testing for unmixing of hyperspectral imagery Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV 10644 (2018), Jiarui Yi, Miguel Velez-Reyes.
• Using a column subset selection method for endmember extraction in hyperspectral unmixing Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV 10644 (2018), Miguel Velez-Reyes, Maher Aldeghlawi.
• A Comparison of Column Subset Selection Methods for Unsupervised Band Subset Selection in Hyperspectral Imagery Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (2018), Maher Aldeghlawi, Miguel Velez-Reyes.

• Using Epitomic Representations to Downscale GOES-16’s Land Surface Temperature Product (2022), Volume Chicago, IL, Roberto Garcia, Anthony Ortiz, Miguel Velez-Reyes.
• Supporting the Transition of STEM Doctoral Students into Faculty Positions at Community College (2022), Volume Corpus Christi, TX, Miguel Velez-Reyes, Irma Y. Torres-Catanach, Fred Moshary.
• My Career Path as a Hispanic Scientist (2022), Volume Virtual, Miguel Velez-Reyes.
• Hyperspectral Remote Sensing for Space Domain Awareness (2022), Volume Colorado Spring, CO, Miguel Velez-Reyes.
• Hyperspectral Remote Sensing: Models, Algorithms, and Applications (2021), Volume Virtual, Miguel Velez-Reyes.
• ECE@HSI Coalition for Inspiration, Education, and Research in Electrical and Computer Engineering at Hispanic Serving Institutions: Fostering Systemic Change (2021), Volume Virtual, Miguel Velez-Reyes.
• H-AGEP Teaching Training Program to Prepare of Hispanic STEM Doctoral Students for Community College Faculty Positions (2021), Volume Virtual, Ivonne Santiago, Victor Garcia, Miguel Velez-Reyes, Irma Y. Torres-Catanach, Steven T. Varela, Jeffrey Sivils, Jose Pacheco-Lucero, Mariano Olmos, Jesusita Ibarra, Yasser Hassebo, Dugwon Seo.
• Lessons Learned from Implementing H-AGEP Model to Improve Preparation and Transition of Hispanic STEM Doctoral Students into Community College Faculty Positions (2021), Volume Virtual, Ivonne Santiago, Victor Garcia, Miguel Velez-Reyes, Irma Y. Torres-Catanach, Yajaira Mejia, Fred Moshary, Joseph Barba, Jorge Gonzalez, Dawn Horton, Fenot Aklog, Jeffrey Sivils, Jose Pacheco-Lucero, Mariano Olmos, Jesusita Ibarra, Yasser Hassebo, Dugwon Seo.
• ECE@HSI Planning Grant: Laying the Foundations for a Coalition of Electrical and Computer Engineering Departments at Hispanic Serving Institutions. (2021), Volume Virtual, Miguel Velez-Reyes, Robert C. Roberts, Rafael Rodriguez-Solis, Miguel A. Goenaga.
• Modeling and Applications of Hyperspectral Imaging (2020), Miguel Velez-Reyes.
• Experiences in Partnering with ERCs at UPRM and UTEP (2020), Volume Online, Miguel Velez-Reyes.
• A New Model to Train Hispanic Students for Successful Faculty Positions (2020), Volume Virtual Platform due to Corona Virus Concerns, Yajaira Mejia, Dugwon Seo, Miguel Velez-Reyes, Jorge Gonzalez.
• Hyperspectral Unmixing for Space Situational Awareness (2020), Volume Albuquerque, NM, Miguel Velez-Reyes.
• GOES-16 Land Surface Temperatures - Filling for Cloud Masked Data (2020), Volume Boston, Guadalupe Ortega, Roberto Garcia, Miguel Velez-Reyes, Matthew Seybold, Elizabeth Kline, Maurice McHugh, David Pogorzala, Curliss Burnett.
• Analysis of Close-Range Hyperspectral Images of Vegetation (2019), Volume San Francisco, Miguel Velez-Reyes, Astrid D. Chacon, Stephen M. Escarzaga, Sergio A. Vargas, Craig E. Tweedie.
• GOES-16 Land Surface Temperatures - Filling for Cloud Masked Data (2019), Volume College Park, MD, Guadalupe Ortega, Roberto Garcia, Miguel Velez-Reyes, Matthew Seybold, Elizabeth Kline, Maurice McHugh, David Pogorzala, Curliss Burnett.
• Collaborative Research AGEP-T: The Hispanic Alliance for the Graduate Education and the Professoriate on Environmental Sciences and Engineering (2019), Volume Coeur d'Alene, Miguel Velez-Reyes, Ivonne Santiago.
• Models and Algorithms for Hyperspectral Image Exploitation across Different Domains (2019), Volume Mayaguez, PR, Miguel Velez-Reyes.
• Reflections of a Latino Professor on a 26+ Year Career and some Remote Sensing (2019), Volume Mayaguez, Puerto Rico, Miguel Velez-Reyes.
• From NSF CAREER to PECASE (2019), Volume El Paso, TX, Miguel Velez-Reyes.
• Analysis of the Urban Heat Island Effect on Land Surface Temperature in Richmond, VA (2019), Volume Phoenix, AZ, Matthew Hilding, Hunter Jones, Miguel Velez-Reyes.
• Close-Range Hyperspectral Imaging of Dynamic Vegetation Communities in a High Arctic Tundra Ecosystem (2018), Volume Washington, DC, Astrid Chacon, Stephen M. Escarzaga, Miguel Velez-Reyes, Sergio A. Vargas, Craig E. Tweedie, Karl F. Huemmrich.
• Close-Range Hyperspectral Imaging of Dynamic Vegetation Communities in a High Arctic Tundra Ecosystem (2018), Volume Washington, DC, Astrid Chacon, Stephen M. Escarzaga, Miguel Velez-Reyes, Sergio A. Vargas, Craig E. Tweedie, Karl F. Huemmrich.
• Interdisciplinary Applications in Engineering: What Do You Do with Hyperspectral Remote Sensing and Imaging (2018), Volume San Antonio, Miguel Velez-Reyes.
• Models and Algorithms for Hyperspectral Image Processing (2018), Volume San Antonio, Miguel Velez-Reyes.
• Development of a Protocol for Collection and Calibration of Close-Range Hyperspectral Images (2018), Volume El Paso, TX, Astrid Chacon, Pablo Carmona-Zuluaga, Nicolas Molina-Ceron, Miguel Velez-Reyes.
• Collaborative Research AGEP-T: The Hispanic Alliance for the Graduate Education and the Professoriate on Environmental Sciences and Engineering (H-AGEP) (2018), Volume New York City, NY, Jorge E. Gonzalez, Ellen Smiley, Yajaira Mejia, Miguel Velez-Reyes, Ivonne Santiago.
• Hyperspectral Imaging Applications (2018), Volume Orlando, Florida, Miguel Velez-Reyes.
• Collaborative Research AGEP-T: The Hispanic Alliance for the Graduate Education and the Professoriate on Environmental Sciences and Engineering (H-AGEP) (2018), Volume Berkeley, CA, Jorge E. Gonzalez, Ellen Smiley, Yajaira Mejia, Miguel Velez-Reyes, Ivonne Santiago.

• Pathways to Success in Graduate Engineering: Understanding and Supporting the Critical Transition from Undergraduate to Graduate Engineering Studies
• Conference: Research Network for Sustainable Urban Infrastructure - Summer 2019
• Collaborative Research: Expansion, Optimization, and Dissemination of Step-Based Tutoring Software for Linear Circuit Analysis
• Computer Vision Applications: Joint Research Training Program ITM-UTEP