Dra. Gabriela Marín Raventós

Dra. Gabriela Marín Raventós

Formación académica

  • "Doctor of Philosophy" en Administración de Negocios, con énfasis en Sistemas de Información Gerencial, Graduate School of Business Administration, Texas A&M University, College Station, Texas, U.S.A., agosto 1993.
  • "Master of Science" en Ciencias de la Computación, Department of Computer Engineering and Science, Graduate School of Engineering, Case Western Reserve University, Cleveland, Ohio, U.S.A., agosto 1985.
  • Estudios de Maestría en Administración Pública, Programa Instituto Centroamericano de Administración Pública (ICAP) - Universidad de Costa Rica, San José, Costa Rica, de junio 1981 a abril 1982 (29 créditos).
  • Licenciatura en Ciencias de la Computación, Escuela de Matemáticas, Universidad de Costa Rica, San Pedro, Costa Rica, febrero 1981.
  • Bachillerato en Ciencias de la Computación, Escuela de Matemáticas, Universidad de Costa Rica, San Pedro, Costa Rica, agosto 1980.

Experiencia laboral

  • Directora, Centro de Investigación en Tecnologías de Información y Comunicación (CITIC), Universidad de Costa Rica,  21 de junio 2012 al 31 de julio 2017.
  • Decana del Sistema de Estudios de Posgrado, Universidad de Costa Rica, 30 junio 2008 al 29 junio 2012.
  • Vice-Decana del Sistema de Estudios de Posgrado, Universidad de Costa Rica, 14 de noviembre del 2007 al 29 de junio del 2008. 
  • Directora, Programa de Posgrado en Computación e Informática, Universidad de Costa Rica, 15 de mayo de 1998 al 30 de julio del 2009.
  • Representante, Area de Ingeniería ante el Cosejo del Sistema de Estudios de Posgradp, Universidad de Costa Rica, 2002-2004, 2004-2006, 2006-2008.
  • Profesora Catedrática, Escuela de Ciencia de la Computación e Informática, Universidad de Costa Rica, julio 1981- al presente.
  • Miembro, Comisión de Maestría, Telemática, 1998 hasta 2001.
  • Profesora y coordinadora, Programa de Diplomado en Computación Administrativa, Universidad de Costa Rica, desde 1987 hasta julio 1989.
  • Investigador I, Consejo Nacional de Rectores (CONARE), dese agosto 1980 a junio 1981.

Proyectos

Publicaciones

Typifying Data Required for the Development of Smart Agriculture Systems

Descripción:

Smart agriculture is an active research field. Currently, many researchers are working on the construction of platforms directed to improve efficiency, crop processes, and data awareness. However, it is common that developers focus on data monitoring instead of the data relevance for decision making or the costs associated with the creation of monitoring platforms. In this paper, we present a classification of the data required by researchers on the construction of decision-support systems applied to smart agriculture processes. By using this classification, the user can define which data are relevant according to the characteristics of the problem that needs to be solved.We have applied the classification to data recollected in a study case conducted by the end of last year. Besides, we identify a list of agronomic and climatic variables commonly used in the construction of decision support systems. We apply the classification to this list of variables as an example for researchers. As a conclusion, this typification permits the researcher to identify data that has to be monitored and controlled, and data that does not have to be measured, the later based on the data characteristics and utility for the farmer.

Tipo de publicación: Conference Paper

Publicado en: 2019 IV Jornadas Costarricenses de Investigación en Computación e Informática (JoCICI)

Alzheimer’s Disease Early Detection Using a Low Cost Three-Dimensional Densenet-121 Architecture

Descripción:

The objective of this work is to detect Alzheimer’s disease using Magnetic Resonance Imaging. For this, we use a three-dimensional densenet-121 architecture. With the use of only freely available tools, we obtain good results: a deep neural network showing metrics of 87% accuracy, 87% sensitivity (micro-average), 88% specificity (micro-average), and 92% AUROC (micro-average) for the task of classifying five different classes (disease stages). The use of tools available for free means that this work can be replicated in developing countries.

Tipo de publicación: Conference Paper

Publicado en: Lecture Notes in Computer Science

Effects of oral metaphors and allegories on programming problem solving

Descripción:

Metaphors of ordinary concepts are intensively used in computer science for naming abstract concepts and for designing users interfaces. Metaphors are mappings from a source domain (e.g., a stream) to a target domain (e.g., a sequence of bytes). Typically computing phenomena are explained using incoherent discourses at the source domain, formed by metaphors taken from a diversity of origins. Nonetheless, versatility of metaphors allows for the creation of coherent discourses in the origin domain that map the target computing discourse, and we call them allegories. The limited number of existing studies about this topic has compared only textual allegories, visual allegories, and the traditional unconnected metaphors. Although their findings are heterogeneous, equal effectiveness is the most frequent empirical result between these three types of metaphors. Furthermore, we have not found any study about oral allegories, in spite of oral being the most used modality for metaphors in computer science education. This article experimentally compares the effects of oral allegories and oral metaphors on a complex problem‐solving task. As in previous studies, our results did not find any significant differences on support or detriment of oral allegories. Our results support new metaphor theories posing that the context significantly influences the metaphors’ efficacy, and encourages future research about the interaction between context and allegories.

Tipo de publicación: Journal Article

Publicado en: Computer Applications in Engineering Education

A Precise Layout Manager for Vector Graphics

Descripción:

Automated layout is the use of software to determine the positions and sizes of visual elements that are part of an information presentation. As the amount of data that computers are able to process increases, automatic layout becomes more necessary. During the process of creating a program visualization, the authors needed a precise layout manager for scalable vector graphics that supported layers and animations. A literature review revealed the lack of a layout manager that satisfies these requirements. This paper reports the creation of a layout manager that uses floating-point arithmetic for precise and imperative arrangement of visual elements, that may be useful for other visual applications facing similar requirements.

Tipo de publicación: Conference Paper

Publicado en: 2019 IV Jornadas Costarricenses de Investigación en Computación e Informática (JoCICI)

Early Detection of Diseases in Precision Agriculture Processes Supported by Technology

Descripción:

One of the biggest challenges for farmers is the prevention of disease appearance on crops. Governments around the world control border product entry to reduce the number of foreign diseases affecting local producers. Evenmore, it is also important to reduce the spread of crop diseases as quickly as possible and in early stages of propagation, to enable farmers to attack them on time, or to remove the affected plants. In this research, we propose the use of convolutional neural networks to detect diseases in horticultural crops. We compare the results of disease classification in images of plant leaves, in terms of performance, time execution, and classifier size. In the analysis, we implement two distinct classifiers, a densenet-161 pre-trained model and a custom created model. We concluded that for disease detection in tomato crops, our custom model has better execution time and size, and the classification performance is acceptable. Therefore, the custom model could be useful to use to create a solution that helps small farmers in rural areas in resource-limited mobile devices.

Tipo de publicación: Book Chapter

Publicado en: Advances in Sustainability Science and Technology

Online Judge Support for Programming Teaching

Descripción:

Online programming judges are considered useful and sometimes indispensable tools to support competitive programming, professionals' recruiting, and programming education. In this last field, the scientific literature on these tools focuses on the learners' needs, but neglects the requirements of the professors, even though they are who mainly decide whether or not an educational tool is adopted in the courses they teach. This article collected 132 functional requirements for educative online judges, from the scientific literature and programming teachers with experience in the use of this type of tool. To know the degree of support, the requirements were grouped into 27 categories, and a requirements verification was performed with four available educative online judges reported in a recent systematic literature review. A low degree of satisfaction of requirements was found. This result encourages future research to create tools that better support teaching-learning processes and the requirements collected are a useful contribution as a starting point for such research.

Tipo de publicación: Conference Paper

Publicado en: 2020 XLVI Latin American Computing Conference (CLEI)

Common Causes and Effects of Technical Debt in Costa Rica: InsighTD Survey Replication

Descripción:

Technical debt is a concept used to describe technical decisions that can benefit companies in the short term but can produce costs and software quality issues in the long term. Technical debt management can help enterprise profitability, sustainability, and the software industry's credibility. This paper presents a replication of the InsighTD survey (a globally distributed family of industrial surveys on causes and effects of TD), focusing on Costa Rica and comparing other regional countries. In total, 145 practitioners from the Costa Rican IT industry participated. Results show that the leading cause of technical debt is not technical (not only in Costa Rica but also in the region). On the other hand, the main effects reported are delivery delay and general dissatisfaction of the parties involved. A comparative study of InsighTD survey results in various countries is also included.

Tipo de publicación: Conference Paper

Publicado en: 2021 XLVII Latin American Computing Conference (CLEI)

When One Wireless Technology is Not Enough: A Network Architecture for Precision Agriculture Using LoRa, Wi-Fi, and LTE

Descripción:

The world population will reach nearly 10 billion people by 2050, according to the United Nations. Therefore, more food to supply the world's demand will be required in the following years. Precision agriculture emerges as an option to satisfy the growing demand. In smart farming, wireless sensor networks (WSNs) are crucial in the deployment of sensors in crop fields. Precision agriculture includes crop monitoring and fertigation control. Monitoring and control have distinct network requirements. While monitoring stations deployment requires long-range networks, control stations have other requirements like low latency. For that reason, the use of a combination of WSN is necessary. In this paper, we present an option of network architecture for precision agriculture projects. The architecture includes the use of LoRa for monitoring stations and Wi-Fi/LTE for control stations. Currently, we are working on smart fertigation in greenhouses. For the architecture, we consider the typical requirements for smart farming projects, but also our project’s requirements.

Tipo de publicación: Conference Paper

Publicado en: Intelligent Sustainable Systems

Designing a Context-Aware Smart Notifications System for Precision Agriculture

Descripción:

Smart farming solutions seek to help farmers in their daily activities. Their use has shown that it is beneficial for farmers to be aware of the distinct variables affecting the production. For this reason, having alerts and notifications in monitoring and control platforms is crucial. However, in some circumstances, farmers cannot attend to the messages delivered through traditional mechanisms, making it impossible for them to be informed at the right moment. In this paper, we present the design evaluation of an intelligent context-aware smart notifications system for precision agriculture. We consider using distinct notification mechanisms to improve the delivery of notifications to the farmers. We carry out an anticipated user experience evaluation to assess the system’s design and validate the use of the notification mechanisms in distinct scenarios. A total of 48 potential users from Spain and Costa Rica participated in the evaluation. The results show that our proposed system can be very helpful in supporting farmers to be aware of the state of crops. In addition, non-traditional notification mechanisms can potentially keep the farmers informed without affecting their daily activities. Costa Rican potential users value the system’s novelty more than Spanish users.

Tipo de publicación: Conference Paper

Publicado en: Proceedings of the International Conference on Ubiquitous Computing Ambient Intelligence (UCAmI 2022)

Social Network Analysis for Automatic Ranking of Political Stakeholders: a Case Study

Descripción:

This article exposes the way in which the creation of a new method for calculating the popularity of stake holders in social networks can support political data analysis experts. The definition of a new formula for estimating popularity allowed us to have a new method that, together with other previously existing ones, allows us to build a multidimensional interpretation of reality. The construction of a method that would seem like a computational scientific curiosity has significant impacts for experts who carry out political analysis. The new ranking algorithm called BOPRank made it possible to identify political actors in a different way than known algorithms. While a wellknown algorithm showed popularity as a result of the work of campaign teams on social networks, the new algorithm reflected popularity obtained as a result of the reaction of the public on social networks.

Tipo de publicación: Conference Paper

Publicado en: 2022 XVLIII Latin American Computer Conference (CLEI)