MAYTEE ZAMBRANO DE ROJAS

@utp.ac.pa

Electrical Engineering Department
Universidad Tecnologica de Panama

MAYTEE ZAMBRANO DE ROJAS


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Maytee Zambrano Núñez is a Full Professor in the Department of Communications at the Technological University of Panama and Director of the Research Group on Advanced Technologies in Telecommunications and Signal Processing (GITTS). She holds a Ph.D. in Electrical Engineering and a Master of Science in Communications and Digital Signal Processing from Northeastern University in Boston, Massachusetts, United States. Additionally, she holds postgraduate specializations in Telecommunications, Digital Electronics, and Higher Education Teaching.

Dr. Zambrano has several publications in international journals and has been a speaker at multiple international conferences in the fields of communications and information technologies. She also holds several international patent applications. Her outstanding research career has earned her numerous awards and recognitions and has led to her membership in Panama’s National Research System (SNI) since 2017. She served as Executive Director of the pu

EDUCATION

• Ph.D. in Electrical Engineering, specialization in Communications and Signal Processing, Northeastern University, Boston, Massachusetts, United States, 2012.
• Master of Science in Electrical Engineering, specialization in Communications and Signal Processing, Northeastern University, Boston, Massachusetts, United States, 2010
• Postgraduate Studies in Higher Education Teaching, University of Panama, Panama, Republic of Panama, 2015
• Postgraduate Studies in Telecommunications, Technological University of Panama, Panama, Republic of Panama, 2006
• Postgraduate Diploma in Digital Electronics, Technological University of Panama, Panama, Republic of Panama, 2003
• Bachelor’s degree in Electrical and Electronic Engineering, Technological University of Panama, Panama, Republic of Panama, 1999

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence, Modeling and Simulation
3

Scopus Publications

401

Scholar Citations

11

Scholar h-index

12

Scholar i10-index

Scopus Publications

  • Automated Assessment of Marine Steel Corrosion Using Visible–Near-Infrared Hyperspectral Imaging
    Fernando Arias, Edward Guevara, Ezequiel Jaramillo, Edson Galagarza, Maytee Zambrano
    Coatings, 2025
    Marine steel structures face severe corrosion risks due to harsh environmental conditions, posing significant logistical, economic, and safety challenges for inspection and maintenance. Traditional corrosion assessment methods are costly, labor-intensive, and potentially hazardous. This study evaluated the capabilities of visible-to-near-infrared hyperspectral imaging (HSI) for automating corrosion detection and severity classification in steel samples subjected to accelerated corrosion conditions simulating marine exposure. Marine steel coupons were partially coated to simulate protective paint and immersed in natural brackish water from the Panama Canal, creating varying corrosion levels. Hyperspectral images were acquired in controlled illumination conditions, calibrated radiometrically, and reduced in dimensionality via principal component analysis (PCA). Four machine learning models, including k-nearest neighbors, support vector machine, random forest, and multilayer perceptron, were tested for classifying corrosion severity. The multilayer perceptron achieved the highest accuracy at 96.18%, clearly distinguishing among five defined corrosion stages. These findings demonstrate that hyperspectral imaging, coupled with machine learning techniques, provides a viable, accurate, non-destructive methodology for assessing marine steel corrosion, potentially reducing costs, improving safety, and streamlining maintenance procedures.
  • Mapping Harmful Algae Blooms: The Potential of Hyperspectral Imaging Technologies
    Fernando Arias, Maytee Zambrano, Edson Galagarza, Kathia Broce
    Remote Sensing, 2025
    Harmful algae blooms (HABs) pose critical threats to aquatic ecosystems and human economies, driven by their rapid proliferation, oxygen depletion capacity, toxin release, and biodiversity impacts. These blooms, increasingly exacerbated by climate change, compromise water quality in both marine and freshwater ecosystems, significantly affecting marine life and coastal economies based on fishing and tourism while also posing serious risks to inland water bodies. This article examines the role of hyperspectral imaging (HSI) in monitoring HABs. HSI, with its superior spectral resolution, enables the precise classification and mapping of diverse algae species, emerging as a pivotal tool in environmental surveillance. An array of HSI techniques, algorithms, and deployment platforms are evaluated, analyzing their efficacy across varied geographical contexts. Notably, hyperspectral sensor-based studies achieved up to 90% classification accuracy, with regression-based chlorophyll-a (Chl-a) estimations frequently reaching coefficients of determination (R2) above 0.80. These quantitative findings underscore the potential of HSI for robust HAB diagnostics and early warning systems. Furthermore, we explore the current limitations and future potential of HSI in HAB management, highlighting its strategic importance in addressing the growing environmental and economic challenges posed by HABs. This paper seeks to provide a comprehensive insight into HSI’s capabilities, fostering its integration in global strategies against HAB proliferation.
  • Analyzing Spanish-Language Public Sentiment in the Context of a Pandemic and Social Unrest: The Panama Case
    Fernando Arias, Ariel Guerra-Adames, Maytee Zambrano, Efraín Quintero-Guerra, Nathalia Tejedor-Flores
    International Journal of Environmental Research and Public Health, 2022
    Over the past decade, an increase in global connectivity and social media users has changed the way in which opinions and sentiments are shared. Platforms such as Twitter can act as public forums for expressing opinions on non-personal matters, but often also as an outlet for individuals to share their feelings and personal thoughts. This becomes especially evident during times of crisis, such as a massive civil disorder or a pandemic. This study proposes the estimation and analysis of sentiments expressed by Twitter users of the Republic of Panama during the years 2019 and 2020. The proposed workflow is comprised of the extraction, quantification, processing and analysis of Spanish-language Twitter data based on Sentiment Analysis. This case of study highlights the importance of developing natural language processing resources explicitly devised for supporting opinion mining applications in Latin American countries, where language regionalisms can drastically change the lexicon on each country. A comparative analysis performed between popular machine learning algorithms demonstrated that a version of a distributed gradient boosting algorithm could infer sentiment polarity contained in Spanish text in an accurate and time-effective manner. This algorithm is the tool used to analyze over 20 million tweets produced between the years of 2019 and 2020 by residents of the Republic of Panama, accurately displaying strong sentiment responses to events occurred in the country over the two years that the analysis performed spanned. The obtained results highlight the potential that methodologies such as the one proposed in this study could have for transparent government monitoring of responses to public policies on a population scale.

RECENT SCHOLAR PUBLICATIONS

  • Implementación de estrategias de reconstrucción de imágenes esparsas mediante sensado compresivo: algoritmos de optimización y redes neuronales
    I Murgas, A Figueroa, M Zambrano, F Arias, E Galagarza, D Bouche
    I+ D Tecnológico 22 (1) , 2026
    2026
  • Arquitectura Basada en UART para Sincronización de Dispositivos MEMS: Implementación en FPGA y Análisis ASIC
    DA Bouche, E Acevedo, M Zambrano, F Arias, E Galagarza
    I+ D Tecnológico 22 (1) , 2026
    2026
  • Arquitecturas ópticas compresivas para la adquisición de datos: caso transmisivo y reflectivo
    M Zambrano, N Solís, K Galvez, AM Valdespino, D Bouche, F Arias, ...
    I+ D Tecnológico 22 (1) , 2026
    2026
  • Automated Assessment of Marine Steel Corrosion Using Visible–Near-Infrared Hyperspectral Imaging
    F Arias, E Guevara, E Jaramillo, E Galagarza, M Zambrano
    Coatings 15 (6), 645 , 2025
    2025
    Citations: 2
  • Mapping harmful algae blooms: The potential of hyperspectral imaging technologies
    F Arias, M Zambrano, E Galagarza, K Broce
    Remote Sensing 17 (4), 608 , 2025
    2025
    Citations: 27
  • Mechanical characterization of the erythrocyte membrane using a capacitor-based technique
    D Dorta, C Plazaola, J Carrasco, MF Alves-Rosa, LM Coronado, R Correa, ...
    Micromachines 15 (5), 590 , 2024
    2024
    Citations: 1
  • Microwaves can kill malaria parasites non-thermally
    LM Coronado, JA Stoute, CT Nadovich, J Cheng, R Correa, K Chaw, ...
    Frontiers in Cellular and Infection Microbiology 13, 955134 , 2023
    2023
    Citations: 10
  • Analyzing Spanish-language public sentiment in the context of a pandemic and social unrest: the Panama case
    F Arias, A Guerra-Adames, M Zambrano, E Quintero-Guerra, ...
    International Journal of Environmental Research and Public Health 19 (16), 10328 , 2022
    2022
    Citations: 17
  • Sentiment analysis of public social media as a tool for health-related topics
    F Arias, MZ Nunez, A Guerra-Adames, N Tejedor-Flores, ...
    Ieee Access 10, 74850-74872 , 2022
    2022
    Citations: 63
  • 5G technology deployment in Latin America: An analysis of public policy and regulation environment
    F Arias, A Salado, C Medina, M Zambrano
    World Journal of Advanced Research and Reviews 11 (3), 258-271 , 2021
    2021
    Citations: 13
  • Hyperspectral imaging for rice cultivation: Applications, methods and challenges
    F Arias, M Zambrano, K Broce, C Medina, H Pacheco, Y Nuñez
    AIMS Agriculture and Food 6 (1), 273-307 , 2021
    2021
    Citations: 41
  • Thermo-Energetic Study in Blood Infected with Plasmodium falciparum radiated at 2.45 GHz
    KD Ngo, C Plazaola, G González, C Spadafora, M Zambrano
    2019 49th European Microwave Conference (EuMC), 276-279 , 2019
    2019
    Citations: 1
  • Análisis y Estimación de Precipitación para Modelado de Caudal del Río Juan Díaz en el Distrito de Panamá Utilizando Redes Neuronales
    FX Arias, M Zambrano
    KnE Engineering, 963-973 , 2018
    2018
  • Revisión de modelos hiperelásticos utilizados en tejidos
    M Moreno, C Plazaola, G González, M Zambrano, C Spadafora
    KnE Engineering, 100-110 , 2018
    2018
    Citations: 4
  • Resolution and Multiple Scattering in Imaging
    ESG Edwin A. Marengo, Zambrano-Nunez Maytee
    Encyclopedia of Modern Optics (Second Edition) 3, Pages 136–145 , 2018
    2018
  • GCN Global Communications Newsletter
    S Bregni, OA Dobre, ZN Maytee, M Jonsson, J Rak, D Papadimitriou, ...
    IEEE Communications Magazine 55 (5), 19-22 , 2017
    2017
  • A Comparative Study on the Parametrization of a Block-based Compressive Sensing Algorithm for Hyperspectral Imaging Applications
    F Arias, M Zambrano N., H Sierra, E Arzuaga
    Proceedings of the XIV LACCEI International Multi-Conference for Engineering … , 2016
    2016
    Citations: 1
  • LED BASED VISIBLE LIGHT COMMUNICATION: TECHNOLOGY, APPLICATIONS AND CHALLENGES – A SURVEY
    C Medina, M Zambrano, K Navarro
    International Journal of Advances in Engineering & Technology 8 (4), 482-495 , 2015
    2015
    Citations: 103
  • Sparse objects location using compressive sensing
    M Zambrano, C Medina, RP Tamayo
    IEEE Latin America Transactions 13 (4), 968-974 , 2015
    2015
    Citations: 4
  • Target Localization and Reconstruction Using Compressive Sampling
    M Zambrano, C Medina, E Galagarza
    IEEE Latin America Transactions 13 (2), 448-454 , 2015
    2015
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • LED BASED VISIBLE LIGHT COMMUNICATION: TECHNOLOGY, APPLICATIONS AND CHALLENGES – A SURVEY
    C Medina, M Zambrano, K Navarro
    International Journal of Advances in Engineering & Technology 8 (4), 482-495 , 2015
    2015
    Citations: 103
  • Sentiment analysis of public social media as a tool for health-related topics
    F Arias, MZ Nunez, A Guerra-Adames, N Tejedor-Flores, ...
    Ieee Access 10, 74850-74872 , 2022
    2022
    Citations: 63
  • Hyperspectral imaging for rice cultivation: Applications, methods and challenges
    F Arias, M Zambrano, K Broce, C Medina, H Pacheco, Y Nuñez
    AIMS Agriculture and Food 6 (1), 273-307 , 2021
    2021
    Citations: 41
  • Mapping harmful algae blooms: The potential of hyperspectral imaging technologies
    F Arias, M Zambrano, E Galagarza, K Broce
    Remote Sensing 17 (4), 608 , 2025
    2025
    Citations: 27
  • Compressive sensing for inverse scattering
    EA Marengo, RD Hernandez, YR Citron, FK Gruber, M Zambrano, ...
    2008
    Citations: 22
  • Analyzing Spanish-language public sentiment in the context of a pandemic and social unrest: the Panama case
    F Arias, A Guerra-Adames, M Zambrano, E Quintero-Guerra, ...
    International Journal of Environmental Research and Public Health 19 (16), 10328 , 2022
    2022
    Citations: 17
  • Tecnologías de comunicación para redes de potencia inteligentes de media y alta tensión
    N Poveda, C Medina, M Zambrano
    Prisma Tecnólogico 5 (1) , 2014
    2014
    Citations: 16
  • 5G technology deployment in Latin America: An analysis of public policy and regulation environment
    F Arias, A Salado, C Medina, M Zambrano
    World Journal of Advanced Research and Reviews 11 (3), 258-271 , 2021
    2021
    Citations: 13
  • Estándares actuales de televisión digital: Una breve reseña
    S Chie, M Zambrano, C Medina
    Prisma Tecnológico 6 (1), 19-23 , 2015
    2015
    Citations: 12
  • Redes inalámbricas de sensores eficientes para la agroindustria
    J Cedeño, M Zambrano, C Medina
    Prisma Tecnológico 5 (1) , 2014
    2014
    Citations: 12
  • Coherent Single-Detector Imaging System
    M Zambrano Núnez, EA Marengo, JM Fisher
    2010
    Citations: 12
  • Microwaves can kill malaria parasites non-thermally
    LM Coronado, JA Stoute, CT Nadovich, J Cheng, R Correa, K Chaw, ...
    Frontiers in Cellular and Infection Microbiology 13, 955134 , 2023
    2023
    Citations: 10
  • Cramer-rao study of one-dimensional scattering systems: Part II: Computer Simulations
    EA Marengo, M Zambrano-Nunez, D Brady
    Proceedings of the 6th IASTED International Conference on Antennas, Radar … , 2009
    2009
    Citations: 8
  • Comparative analysis of sparse signal reconstruction. algorithms for compressed sensing
    MZ Nuñez, FX Arias
    Twelfth LACCEI Latin American and Caribbean Conference for Engineering and … , 2014
    2014
    Citations: 7
  • Cramér‐Rao Bound Study of Multiple Scattering Effects in Target Localization
    EA Marengo, M Zambrano-Nunez, P Berestesky
    International Journal of Antennas and Propagation 2012 (1), 390312 , 2012
    2012
    Citations: 7
  • Comunicación Molecular: Retos y Oportunidades
    M Zambrano
    Revista Prisma Tecnológico 6 (1), 13-18 , 2015
    2015
    Citations: 6
  • Revisión de modelos hiperelásticos utilizados en tejidos
    M Moreno, C Plazaola, G González, M Zambrano, C Spadafora
    KnE Engineering, 100-110 , 2018
    2018
    Citations: 4
  • Sparse objects location using compressive sensing
    M Zambrano, C Medina, RP Tamayo
    IEEE Latin America Transactions 13 (4), 968-974 , 2015
    2015
    Citations: 4
  • Cramer-Rao study of scattering systems in one-dimensional space
    M Zambrano-Nuñez, EA Marengo, D Brady
    Proceedings of the International Conference on Antennas, Radar, and Wave … , 2010
    2010
    Citations: 4
  • Target Localization and Reconstruction Using Compressive Sampling
    M Zambrano, C Medina, E Galagarza
    IEEE Latin America Transactions 13 (2), 448-454 , 2015
    2015
    Citations: 3