Manuel Castillo-Cara

Manuel Castillo-Cara
Universidad Politécnica de Madrid | UPM · Departamento de Inteligencia Artificial

PhD. Computer Science
Postdoctoral Research Scientist in Artificial Intelligence at Universidad Politécnica de Madrid

About

33
Publications
8,841
Reads
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216
Citations
Introduction
I received the PhD degree from the Universidad de Castilla-La Mancha (UCLM) in July 2018. I have been worked on university educational issues at the Computer Science as an Associate Professor and head of Intelligent Ubiquitous Technologies – SmartCity (IUT-SCi) Lab in Universidad Nacional de Ingeniería (Peru). My current research is focused on Intelligent Ubiquitous Technologies, especially on in Wireless Sensor Networks, Distributed Computing, Pattern Recognition and Artificial Intelligence.
Additional affiliations
January 2022 - present
Universidad Politécnica de Madrid
Position
  • PostDoc Position
April 2021 - December 2021
Universidad de Lima
Position
  • Professor
August 2015 - December 2020
Universidad Nacional de Ingeniería (Peru)
Position
  • Head of Department
Education
September 2015 - July 2018
Universidad de Castilla-La Mancha, Albacete, Spain
Field of study
  • Computer Science
September 2013 - July 2014
Universitat Oberta de Catalunya
Field of study
  • Computer Science
September 2013 - July 2014
University of Castilla-La Mancha
Field of study
  • Computer science

Publications

Publications (33)
Article
Full-text available
Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized...
Article
Full-text available
The development of Internet of Things (IoT) benefits from: (a) the connections between devices equipped with multiple sensors; (b) wireless networks; and (c) processing and analysis of the gathered data. The growing interest in the use of IoT technologies has led to the development of numerous diverse applications, many of which are based on the kn...
Thesis
Full-text available
The development of wireless networks and devices equipped with multiple sensors, and their connection to storage centres and data processing through the Internet, has led to the implementation of Internet of Things (IoT). The growing interest in the use of IoT technologies has generated the development of numerous and diverse applications. The prop...
Article
Full-text available
Background: The COVID-19 pandemic has attracted the attention of researchers and clinicians whom have provided evidence about risk factors and clinical outcomes. Research on the COVID-19 pandemic benefiting from open-access data and machine learning algorithms is still scarce yet can produce relevant and pragmatic information. With country-level pr...
Article
Full-text available
Internet of Things (IoT) has posed new requirements to the underlying processing architecture, specially for real-time applications, such as event-detection services. Complex Event Processing (CEP) engines provide a powerful tool to implement these services. Fog computing has raised as a solution to support IoT real-time applications, in contrast t...
Article
Full-text available
Global targets to reduce salt intake have been proposed but their monitoring is challenged by the lack of population-based data on salt consumption. We developed a machine learning (ML) model to predict salt consumption at the population level based on simple predictors and applied this model to national surveys in 54 countries. We used 21 surveys...
Preprint
Full-text available
The growing interest in the use of IoT technologies has generated the development of numerous and diverse applications. Many of the services provided by the applications are based on knowledge of the localisation and profile of the end user. Thus, the present work aims to develop a system for indoor localisation prediction using Bluetooth-based fin...
Article
Background: While clinical medicine has exploded, electronic health records for Natural Language Processing (NLP) analyses, public health, and health policy research have not yet adopted these algorithms. We aimed to dissect the health chapters of the government plans of the 2016 and 2021 Peruvian presidential elections, and to compare different NL...
Article
Full-text available
Information and communication technologies backbone of a smart city is an Internet of Things (IoT) application that combines technologies such as low power IoT networks, device management, analytics or event stream processing. Hence, designing an efficient IoT architecture for real-time IoT applications brings technical challenges that include the...
Preprint
Full-text available
Background: Global targets to reduce salt intake have been proposed but their monitoring is challenged by the lack of population-based data on salt consumption. We developed a machine learning (ML) model to predict salt consumption based on simple predictors, and applied this model to national surveys in low- and middle-income countries (LMICs). M...
Article
Full-text available
The study of artificial learning processes in the area of computer vision context has mainly focused on achieving a fixed output target rather than on identifying the underlying processes as a means to develop solutions capable of performing as good as or better than the human brain. This work reviews the well-known segmentation efforts in computer...
Article
Full-text available
Introduction We aimed to identify clusters of people with type 2 diabetes mellitus (T2DM) and to assess whether the frequency of these clusters was consistent across selected countries in Latin America and the Caribbean (LAC). Research design and methods We analyzed 13 population-based national surveys in nine countries (n=8361). We used k-means t...
Article
Background: The COVID-19 pandemic has attracted the attention of researchers and clinicians whom have provided evidence about risk factors and clinical outcomes. Research on the COVID-19 pandemic benefiting from open-access data and machine learning algorithms is still scarce yet can produce relevant and pragmatic information. With country-level pr...
Conference Paper
Full-text available
This article describes the physical components and computing resources employed during the creative process of an autonomous robot, aspiring to the LARC IEEE OPEN 2019 competition. It also describes the use of computational vision, sensory fusion and neural network to provide, on a small scale and in a known environment, an efficient and autonomous...
Article
Full-text available
To demonstrate and promote the use of fog computing and complex event processing relative to the smart city context, this paper proposes a suite of applications developed to address gender-based violence, which is a significant problem in many jurisdictions. To better protect victims, we propose the open-source Surveillance and Alarm for gender VIo...
Article
Full-text available
Existe una amplia gama de subtemas relacionados con las Smart Cities y cómo hacer posible su desarrollo de una manera sostenible y eficiente. Sin embargo, de cara al desarrollo de una ciudad, se hace necesario conocer qué estado y qué implementación tiene nuestra ciudad dentro del contexto Smart City; esto es la madurez de desarrollo. Para ello res...
Conference Paper
Full-text available
This paper describes the development of an small autonomous ground vehicle from the Team CTIC-UNI for the Latin American Robotics Competition (LARC) 2018, held in Brazil. The multiple hardware and software elements of robot are concisely described in order to provide an overview of the technologies applied by the team in the contest.
Conference Paper
Full-text available
The following work applies Machine Learning algorithms as a tool for a possible solution to the problem of citizen security in a South American city. This application aims to reduce the threat risk to the physical integrity of pedestrians through the geolocation, in real time, using safer places to walk. A database of free disposal for the user is...
Article
Full-text available
Broyden's method is a mathematical approach widely used in several fields of science and engineering where it is necessary to solve Non-Linear system equations. This method, which belongs to Quasi-Newton methods, involves a set of well know Linear Algebra operations as matrix-vector product, inner product, etc. These linear algebra operations are i...
Conference Paper
Full-text available
The increasing interest on deploying ubiquitous context-based services has spurred the need of developing indoor localization mechanisms. Such systems should take advantage of the large amount of wireless networks and radio interfaces already incorporated in most mobile consumer devices. Among the existing radio interfaces, Bluetooth Low Energy (BL...
Article
Full-text available
Bluetooth Low Energy (BLE) 4.0 beacons will play a major role in the deployment of energy-efficient indoor localization mechanisms. Since BLE4.0 is highly sensitive to fast fading impairments, numerous ongoing studies are currently exploring the use of supervised learning algorithm as an alternative approach to exploit the information provided by t...
Article
Full-text available
Nowadays, there is a great interest in developing accurate wireless indoor localization mechanisms enabling the implementation of many consumer-oriented services. Among the many proposals, wireless indoor localization mechanisms based on the Received Signal Strength Indication (RSSI) are being widely explored. Most studies have focused on the evalu...
Patent
Full-text available
El siguiente dispositivo electrónico, que se fija en el cuerpo para seguimiento y localización de personas o animales, puede ser una pulsera, grillete o collar es un sistema Hardware/Software que tiene el principal objetivo poder realizar seguimiento de personas tanto en Indoor como en Outdoor para el seguimiento y rastreo. Dicho dispositivo esta c...
Conference Paper
Full-text available
Smart cities have emerged as a key and strategic concept towards the development of sustainable and user friendly cities. Towards this end, the use of novel information-and –communications technologies should set the basis on developing solutions enabling a better use of resources while improving a wide spectrum of services. Furthermore, smart citi...
Article
Full-text available
The accurate localization of end-users and resources is seen as one of the main pillars toward the successful implementation of context-based applications. While current outdoor localization mechanisms fulfill most application requirements, the design of accurate indoor localization mechanisms is still an open issue. Most research efforts are focus...
Article
Full-text available
This work describes the implementation of a cost-effective assistive mobile application aiming to improve the quality of life of visually impaired people. Taking into account the architectural adaptations being done in many cities around the world, such as tactile sidewalks, the mobile application provides support to guide the visually impaired thr...
Conference Paper
Full-text available
During the last two years, our group at INICTEL-UNI has implemented the first microgravity machine in Peru, with three degrees of freedom, which allowed achieving acceleration levels between 10-6 and 10-7 times the value of gravity. The machine has been coupled to a cell incubator of 50x50x50 cm3 which contains inside an UV-fluorescence microscopy...
Conference Paper
Full-text available
The following work is an application proposal based on machine learning algorithms for a possible solution for the public safety problem in a South American city. The aim of this application is to reduce the threat risk of the physical integrity of pedestrians by geolocating, in real-time, safer places to walk. In this context for a city, San Isidr...
Conference Paper
Full-text available
The gravity has been present during the beginning of life so it is assumed that it must have had any effect is the first cells and organisms. Because the intensity and direction of gravity are always linked physical forces, the understanding of the role(s), if any, of each of these ones over the life is difficult to elucidate. On Earth, different t...
Thesis
Full-text available
Análisis del origen del concepto de smart cities que deriva de la gestión y ahorro energético, comparación de ejemplos de smart cities actuales y realización de un caso práctico sobre Lima analizando exhaustivamente qué componentes tenemos según las diferentes métricas e indicadores y qué componentes faltarían para poder ser una ciudad "smart". htt...
Article
Full-text available
This document will try to analyze the functionalities that the infrastructures of Cloud Computing, in this case Eucalyptus, offer, as well as propose a new algorithm within the system of the Cloud Controller and Cluster Controller; in which we will succeed to save a considerably large energy consumption due to the requirements of the final user and...

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Projects

Projects (3)
Project
The main goal is to develop and optimize a Fog Computing infrastructure within the context of Smart Cities, covering five main components: (i) Communications Engineering; (ii) Software engineering; (iii) Data science; (iv) Social engineering; and (v) Mechatronic engineering
Archived project
Principal Investigator and Project Coordinator. Project focused on constant monitoring of people inside and outside buildings by deploying a Wireless Sensor Network with data collected on the server using smart and probabilistic algorithmic techniques. The main objective is to create the infrastructure to create any type of application concerning a Smart City. The project is funded by the Ministry of Production of Peru and the Inter-American Development Bank through the Fund for Innovation, Science and Technology (FINCYT) under National Innovation Programme for competitiveness and productivity (PNICP).