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.

• 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)

• Hyperspectral Unmixing for Remote Sensing of Unresolved Objects (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.
• A Message From the Guest Editor (2017), Miguel Velez-Reyes.
• Segmentation-based cNMF for hyperspectral unmixing Proceedings IEEE International Geosciences and Remote Sensing Symposium (2017), Mohammed Q. Alkhatib, Miguel Velez-Reyes.
• Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII 10981 (2017), Miguel Velez-Reyes, David Messinger.
• Dimensionality reduction using superpixel segmentation for hyperspectral unmixing using the cNMF Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII 10198 (2017), Jiarui Yi, Miguel Velez-Reyes.
• Transactive control mechanism for efficient management of EVs charging in transactive energy environment transactive signals, Distribution locational marginal price, energy trading, transactive energy, transactive node (2016), Eric Galvan, Paras Mandal, Miguel Velez-Reyes, Sukumar Kamalasadan.
• Transactive energy market in distribution systems: A case study of energy trading between transactive nodes Proceedings of the 2016 North American Power Symposium (2016), Sayyid M. Sajjadi, Paras Mandal, Tzu-Liang (Bill) Tseng, Miguel Velez-Reyes.
• A Spectrally-Weighted Structure Tensor for Hyperspectral Imagery IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 9 (2016), Maider Marin-Mcgee, Miguel Velez-Reyes.
• Subsurface linear unmixing on a controlled underwater enviroment Proceedings of the 8th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) (2016), Emmanuel Carpena-Colon, Luis O. Jimenez-Rodriguez, Emmanuel Arzuaga, Miguel Velez-Reyes.
• Coherence Enhancement Diffusion for Hyperspectral Imagery using a Spectrally Weighted Structure Tensor Proceedings of the 8th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) (2016), Maider Marin-McGee, Miguel Velez-Reyes.
• Understanding Spatial-Spectral Domain Interactions in Hyperspectral Unmixing using Exploratory Data Analysis Proceedings of the 8th IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) (2016), Mohammed Alkhatib, Miguel Velez-Reyes.
• Proceedings of SPIE: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII SPIE The International Society for Optics and Photonics 9840 (2016), Miguel Velez-Reyes, David Messinger.
• Hyperspectral Endmember Class Extraction using Clustering and Validity Indexes Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (2016), Maria C. Torres-Madronero, 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.
• Models and Algorithms for Hyperspectral Image Processing (2017), Volume Raleigh, NC, Miguel Velez-Reyes.
• Integrating Spatial Information in Hyperspectral Unmixing (2016), Volume Universidad Pontificia Bolivariana Seccional Bucaramanga, Bucaramanga, Colombia, Miguel Velez-Reyes.

• 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
• DoD HBCU/MI - Advanced Unmixing of Hyperspectral Remote Sensing Data for Space Situational Awareness
• Collaborative Research: Expansion, Optimization, and Dissemination of Step-Based Tutoring Software for Linear Circuit Analysis
• Developing a more accurate size and composition estimation of orbital debris from hyperspectral unmixing
• Computer Vision Applications: Joint Research Training Program ITM-UTEP
• Collaborative Research: The Hispanic AGEP Alliance for the Environmental Science and Engineering Professoriate in Community Colleges and Associate Degree Programs
• Center For Earth System Sciences And Remote Sensing Technologies