Maytee Zambrano Nuñez

• Ph. D. in Electrical Engineering
• Professor (Full) at Technological University of Panama

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 h...

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 mar...

Pathological processes often change the mechanical properties of cells. Increased rigidity could be a marker of cellular malfunction. Erythrocytes are a type of cell that deforms to squeeze through tiny capillaries; changes in their rigidity can dramatically affect their functionality. Furthermore, differences in the homeostatic elasticity of the c...

Malaria, which infected more than 240 million people and killed around six hundred thousand only in 2021, has reclaimed territory after the SARS-CoV-2 pandemic. Together with parasite resistance and a not-yet-optimal vaccine, the need for new approaches has become critical. While earlier, limited, studies have suggested that malaria parasites are a...

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 e...

For decades, researchers have experimented with the possibility that machines can equal human linguistic capabilities. Recently, advances in the field of natural language processing (NLP) as well as a substantial increase in available naturally occurring linguistic data on social media platforms have made more advanced methodologies such as sentime...

5G has become a reality in Latin America and it is expected to boost the digital revolution with key capabilities, including higher speeds and ultra-low latency, thus enabling innovative solutions and socioeconomic development. But its deployment faces many challenges related to, among other factors, spectrum allocation and infrastructure deploymen...

Hyperspectral imaging has become a valuable remote sensing tool due to the development of advanced remote acquisition systems with high spatial and spectral resolution, and the continuous developments on more efficient computing resources to handle the high volume of data. For this reason, hyperspectral image analysis has found important uses in pr...

When high levels of urban development, and erratic patterns of high precipitation combine in a small geographical area, there is a significant increase in the risk of human and/or material losses due to flooding and related incidents. With the objective of providing a method for the estimation of precipitation patterns in an area with a high risk o...

This work is related to the hyperelastic models most used in soft tissue. The importance of obtaining accurate mechanical properties of tissues are of great interest for various medical applications, for example: in treatment of diseases and surgical simulations in real time. The aim of this literature review is to evaluate the models used for prop...

Presents key events and topics in the global communications industry.

Visible Light Communication (VLC) using light emitting diodes (LEDs) is a technology that provides an opportunity for high-speed low-cost wireless communication, being an alternative for effective and efficient communication that can cope with the actual high-speed wireless services demand. In this paper, we give an overview of LED-based VLC and pr...

This work suggests a method to solve the inverse problem of scattering using compressive sensing in order to locate and characterize targets in space. We consider the case of point scatters located on a small fraction of an overall region of interest. The measurement of the response of the scalar wave scattering from the objects is collected using...

Abstract— In this paper we propose a method to detect and reconstruct the image of objects by solving the inverse scattering problem using compressive sampling. This work is an extension of previous research where the authors considered the localization and reconstruction of dot targets and simple targets. Unlike the latter, now we deal with more c...

Abstract—This paper proposes a method for reconstruction of simple objects by solving the inverse scattering problem using compressive sampling. One is a continuation of research previously developed by the authors for locating point targets. Unlike the latter, now we are dealing with more complex objects which can be seen as a white spot formed by...

Abstract—Direct product convolutional codes are the result of a special concatenated scheme based on the well-known method of direct product for combining block codes. The approach taken for its construction is to consider convolutional codes as block codes over the field of rational functions F(D). This relatively new codes has been previously def...

Low density parity check (LDPC) codes are one of the error-correction codes more versatile, promising and important, and have been adopted in most of the current communication standards. Given the actual and future relevance of these codes, we have developed a graphical interface for simulation and performance analysis considering several factors t...

Estudios estadísticos basados en el análisis del límite de Cramér-Rao han demostrado que, en medios donde se busca estimar más de un objetivo, puede ayudar utilizar dispersores de apoyo. Igualmente se ha indicado en la literatura científica que utilizar estos dispersores puede tener un efecto contrario y reducir o eliminar la capacidad de estimació...

El problema de dispersión inversa permite la recuperación de algunas propiedades de objetivos dispersores, como la posición espacial o la reflectividad, utilizando mediciones remotas de campos que estos dispersan. Este problema está presente en muchas áreas de la ingeniería, como la geofísica, radar, imagenología médica, sensores remotos, ensayos n...

Los códigos de corrección de errores con matriz de verificación de paridad de baja densidad (LDPC), tanto de bloque (LDPC-BC) como convolucionales (LDPC-CC), tienen un excelente desempeño y permiten transmitir información con una eficiencia que se aproxima a la capacidad del canal de comunicación, y con una baja complejidad de codificación y decodi...

Compressed sensing (CS) is a rapidly growing field, attracting considerable attention in many areas from imaging to communication and control systems. This signal processing framework is based on the reconstruction of signals, which are sparse in some domain, from a very small data collection of linear projections of the signal. The solution to the...

El desarrollo de sistemas de comunicaciones que trabajan sobre un línea de energía requieren un estudio detallado de las características fisicas del canal de transmisión, debido a que estos sistemas estan plagados con los fenómenos de atenuación y dispersión. En este artículo se hace un análisis del canal de comunicación de una red de distribución...

The target position information contained in scattering data is explored in the context of the scalar Helmholtz operator for the basic two-point scatterer system by means of the statistical estimation framework of the Fisher information and associated Cramér-Rao bound (CRB) relevant to unbiased position estimation. The CRB results are derived for t...

This Ph.D. dissertation project addresses two related topics in wave-based signal processing: 1) Cramer-Rao bound (CRB) analysis of scattering systems formed by pointlike scatterers in one-dimensional (1D) and three-dimensional (3D) spaces. 2) Compressive optical coherent imaging, based on the incorporation of sparsity priors in the reconstructions...

A hybrid opto-microelectromechanical, coherent laser light, single-detector imaging system is demonstrated that applies compressive sensing algorithms for computational imaging of wavefield intensity from a small number of projective measurements of the field. The projective measurements are implemented using spatial light modulators of the digital...

A Cramer-Rao bound (CRB) study is developed to char acterize the information content about scattering param eters that is contained in reflective (R), transmissive (T), and combined R plus T wave scattering data. The analy sis is developed for scalar wave scattering systems in one dimensional space, paying particular attention to elastic scatterers,...

This paper is the second of a two-part paper aimed at study-ing fundamental limits in estimation in 1D scattering sys-tems via the Cramer-Rao bound. In this paper we provide and discuss computer simulation results illustrating the the-ory in the first paper.

A Cramer-Rao bound (CRB) study is developed to char acterize the information content about scattering param eters that is contained in reflective (R), transmissive (T), and combined R plus T wave scattering data. The analy sis is developed for scalar wave scattering systems in one dimensional space, paying particular attention to elastic scatterers,...

A Cramer-Rao bound (CRB) study is developed in one-dimensional (1D) space which sheds fundamental insight onto the information about multiply scattering point-like scatterers that is contained in scattering field data corre-sponding to transmissive, reflective, and combined trans-missive plus reflective sensing geometries, and single-and multi-freq...