Antonio Gonzalez-Pardo

Antonio Gonzalez-Pardo
King Juan Carlos University | URJC · Departamento de Ciencias de la Computación

PhD. Computer Science

About

64
Publications
24,143
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739
Citations
Introduction
Antonio González Pardo is a lecturar at Universidad Rey Juan Carlos. He received a Ph.D. in Computer Science from Universidad Autonoma de Madrid in 2014. His main research interests are related to Computational Intelligence (GA, PSO, SWARM intelligence, etc), and Machine Learning Techniques. The application domains for his research are Social Networks, Complex Graph-based problems and Optimisation problems.
Additional affiliations
December 2019 - present
King Juan Carlos University
Position
  • Lecturer
September 2018 - December 2018
The Open University (UK)
Position
  • Research Associate
February 2016 - December 2019
Universidad Autónoma de Madrid
Position
  • Lecturer

Publications

Publications (64)
Article
Community detection in social networks is becoming one of the key tasks in social network analysis, since it helps analyzing groups of users with similar interests. This task is also useful in different areas, such as biology (interactions of genes and proteins), psychology (diagnostic criteria), or criminology (fraud detection). This paper present...
Chapter
In the paper we describe the industrial process of hot rolling of steel. In cooperation with ArcelorMittal Poland we consider a specific fully automated production line. While it is equipped with a number of industrial sensors, the acquired data has only been analyzed on a basic statistical level, mainly for reporting. In the paper we outline oppor...
Article
Full-text available
Social network based applications have experienced exponential growth in recent years. One of the reasons for this rise is that this application domain offers a particularly fertile place to test and develop the most advanced computational techniques to extract valuable information from the Web. The main contribution of this work is three-fold: (1)...
Article
Full-text available
Radicalization, as a violent form of extremism, is a growing problem for Europe. Currently, it is possible to find extreme ideologies regarding almost every topic such as religion, politics or sports. This problem, which ranges from personal identity conflicts to complex societal issues, has an impact on several people everyday, especially on young...
Article
This article tackles the problem of checking the conformance between a business process model and the data produced by its execution in cases where the data is not given as an event log, but as a set of time series containing the evolution of the variables involved in the process. Tasks in the process model are no longer restricted to the occurrenc...
Preprint
Full-text available
Social network based applications have experienced exponential growth in recent years. One of the reasons for this rise is that this application domain offers a particularly fertile place to test and develop the most advanced computational techniques to extract valuable information from the Web. The main contribution of this work is three-fold: (1)...
Chapter
Full-text available
Community Finding Problems (CFPs) have become very popular in the last years, due to the high number of users that connect everyday to Social Networks (SNs). The goal of these problems is to group the users that compose the SN in several communities, or circles, in such a way similar users belong to the same community, whereas different users are a...
Article
Full-text available
Nowadays, it is quite common to find violent acts in grassroot sports, such as football. Almost every week, it is possible to find news about team supporters fighting against each other, or football players arguing aggressively to the referee. And the worst part in this story is that most of these acts are watched by children. In order to alleviate...
Article
Full-text available
Revealing the community structure in social networks witnessed a determined effort. In this respect, a different category of social network can be handled, such as, dynamic social networks, social networks with node attributes, etc. In this article, we introduce a new method to solve this thriving issue in the social network with node attributes. T...
Conference Paper
El creciente uso de sistemas aéreos no tripulados (UASs) no se ha visto acompañado de una integración apropiada de los métodos y técnicas del entrenamiento de operadores para estos sistemas. A pesar de que varios investigadores están contribuyendo a definir un marco formal de conocimientos, habilidades y actitudes para mejorar la efectividad de los...
Article
An Operating Procedure (OP), also known as checklist or action plan, is a list of actions or criteria arranged in a systematic way, commonly used in areas such as aviation or healthcare to ensure the success of critical tasks and to help decrease human errors. In these areas, operators are hardly trained to follow the OP carefully, but the evaluati...
Conference Paper
En los últimos años, las redes sociales se han convertido en una importante herramienta de difusión de mensajes. La cantidad de usuarios que utilizan diariamente estas redes, así como la estructura de las mismas, facilitan una rápida propagación de mensajes. Esta velocidad de propagación hace que el número de usuarios que acceden a dichos mensajes...
Conference Paper
The unstoppable growth that Social Networks (SN) have suffered in the last years, has produced that the data stored in those networks grows exponentially. This data appears from the information that the users provide in their corresponding profile, the different connections that they stablished while they are using the SN, and also due to the diffe...
Conference Paper
Nowadays, social networks are essential communication tools that produce a large amount of information about their users and their interactions. Spreading propaganda in digital environments is a good way for various extremist groups who want to reach out with their messages, and it is considered to be an important part of the terrorist group Islami...
Article
Nowadays, Social Networks have become an essential communication tools producing a large amount of information about their users and their interactions, which can be analysed with Data Mining methods. In the last years, Social Networks are being used to radicalise people. In this paper, we study the performance of a set of indicators and their resp...
Article
Full-text available
Creating behavioural models of human operators engaged in supervisory control tasks with UAVs is of great value due to the high cost of operator failures. Recent works in the field advocate the use of Hidden Markov Models (HMMs) and derivatives to model the operator behaviour, since they offer interpretable patterns for a domain expert and, at the...
Article
Constraint Satisfaction Problems (CSP) belong to a kind of traditional NP-hard problems with a high impact on both research and industrial domains. The goal of these problems is to find a feasible assignment for a group of variables where a set of imposed restrictions is satisfied. This family of NP-hard problems demands a huge amount of computatio...
Article
Full-text available
Social Networks (SNs) have become a powerful tool for the jihadism as they serve as recruitment assets, live forums, psychological warfare as well as sharing platforms. SNs enable vulnerable individuals to reach radicalised people hence triggering their own radicalisation process. There are many vulnerability factors linked to socio-economic and de...
Conference Paper
Constraint Satisfaction Problems (CSP) belongs to this kind of traditional NP-hard problems with a high impact in both, research and industrial domains. However, due to the complexity that CSP problems exhibit, researchers are forced to use heuristic algorithms for solving the problems in a reasonable time. One of the most famous heuristic algorith...
Article
In the last years, there have been a huge increase in the number of research contributions that use games and video-games as an application domain for testing different artificial intelligence algorithms. Some of these problems can be represented as a Constraint-Satisfaction Problem (CSP), and heuristics algorithms (such as Ant Colony Optimization)...
Article
The unstoppable growth of Social Networks (SNs), and the huge number of connected users, have become these networks as one of the most popular and successful domains for a large number of research areas. The different possibilities, volume and variety that these SNs offer, has become them an essential tool for every-day working and social relations...
Conference Paper
Full-text available
In the last years the interest in multi-hop communications has gained momentum within the research community due to the challenging characteristics of the intra-vehicular radio environment and the stringent robustness imposed on critical sensors within the vehicle. As opposed to point-to-point network topologies, multi-hop networking allows for an...
Article
In the last years, there have been a huge increase in the number of research contributions that use games and video-games as an application domain for testing different artificial intelligence algorithms. Some of these problems can be represented as a constraint satisfaction problem (CSP), and heuristics algorithms (such as ant colony optimisation)...
Conference Paper
Full-text available
Along with the proliferation of the Smart Grid, power load disaggregation is a research area that is lately gaining a lot of popularity due to the interest of energy distribution companies and customers in identifying consumption patterns towards improving the way the energy is produced and consumed (via e.g. demand side management strategies). Suc...
Conference Paper
Full-text available
The use of Unmanned Aerial Vehicles (UAVs) has been growing over the last few years. The accelerated evolution of these systems is generating a high demand of qualified operators, which requires to redesign the training process and focus on a wider range of candidates, including inexperienced users in the field, in order to detect skilled-potential...
Conference Paper
The use of Unmanned Aerial Vehicles (UAVs) has been growing over the last few years. The accelerated evolution of these systems is generating a high demand of qualified operators, which requires to redesign the training process and focus on a wider range of candidates, including inexperienced users in the field, in order to detect skilledpotential...
Article
Computational intelligence (CI), such as evolutionary computation or swarm intelligence methods, is a set of bio-inspired algorithms that have been widely used to solve problems in areas like planning, scheduling or constraint satisfaction problems. Constrained satisfaction problems (CSP) have taken an important attention from the research communit...
Conference Paper
Full-text available
In the last years, the Video Game industry has growth considerably, capturing the attention of the research community. One of the research hot topics in videogames is related to the identification of gamers behaviour while they are playing the game. This work presents an initial case related to the identification of users behaviour in a particular...
Patent
Full-text available
Se trata de la creación de una plataforma virutal y software, llamado GermanLand: Un nuevo entorno virtual para la enseñanza de la Lengua Alemana basado en juegos. Se trata de un prototipo cuyo objetivo es practicar y mejorar el aprendizaje de vocabulario en alemán. La plataforma ha sido probada y evaluada por más de 85 estudiantes universitarios p...
Conference Paper
Resource-Constrained Project Scheduling Problem (RCPSP) is a NP-hard combinatorial problem that consists in scheduling different activities in such a way the resource, precedence, and temporal constraints are satisfied. The main problem when dealing with NP-hard problems is the exponential growth of the computational resources needed to solve the p...
Conference Paper
Full-text available
Ant Colony Optimization (ACO) has been successfully applied to a wide number of complex and real domains. From classical optimization problems to video games, these kind of swarm-based approaches have been adapted, to be later used, to search for new meta-heuristic based solutions. This paper presents a simple ACO algorithm that uses a specifically...
Article
Virtual Worlds (VW) have gained popularity in the last years in domains like training or education mainly due to their highly immersive and interactive 3D characteristics. In these platforms, the user (represented by an avatar) can move and interact in an artificial world with a high degree of freedom. They can talk, chat, build and design objects,...
Conference Paper
Full-text available
We propose an agent-based simulation system that allows to design and test social models and also to persist the state of the social network during the execution. Using graph-based community identification and tracking algorithms, the network evolution can be analysed to characterize and compare model implementations. This system has been tested us...
Conference Paper
Bio-inspired algorithms have been widely used to solve problems in areas like heuristic search, classical optimization, or optimum configuration in complex systems. This paper studies how Genetic Algorithms (GA) and Ant Colony Optimization (ACO) algorithms can be applied to automatically solve levels in the well known Lemmings Game. The main goal o...
Conference Paper
Constraint Satisfaction Problems (CSP) have been widely studied in several research areas like Artificial Intelligence or Operational Research due their complexity and industrial interest. From previous research areas, heuristic (informed) search methods have been particularly active looking for feasible approaches. One of the critical problems to...
Data
Full-text available
In recent years videogames have been recognized as a powerful tool in education, attracting the interest of researchers from a wide range of areas. Nevertheless, there is still a considerable lack of good videogames in the field of foreign language teaching. This paper sets out to explore the use of Virtual Worlds combined with videogame-like appli...
Article
This paper presents our recent experiences with the design of game-like applications in 3-D virtual environments as well as its impact on student motivation and learning. Therefore our paper starts with a brief analysis of the motivational aspects of videogames and virtual worlds (VWs). We then go on to explore the possible benefits of both in the...
Conference Paper
Full-text available
Nowadays, there is an increasing interest in the application of Collective Intelligence and Evolutive optimization algorithms for solving NP-complete problems. This is because the solution or optimization process of these type of problems requires a huge amount of resources (such as computational effort or time). Some examples of these types of pro...
Article
Network communications have been widely studied in the last decades in different research fields: artificial intelligence, computer science, biology, medicine and psychology among others. Some important efforts have been carried out to analyse communication features such as overhead, connectivity or communication protocols in these areas from their...
Article
Full-text available
This paper focuses on the development of videogame-like applications in a 3D virtual environment as a complement to the face-to-face teaching and learning. With the changing role of teaching and learning and the increasing use of blended learning, instructors are increasingly expected to explore new ways to attend to the needs of their students. In...
Conference Paper
Full-text available
The social sciences have long employed simulations and statistical models in their research methodology as testing and validation tools. Recent advances in complex networks have produced a set of new graph-based tools with which to study and characterize larges-scale, complex social data. We propose a swarm simulation platform that allows quick pro...
Conference Paper
Full-text available
The Multi-Agent system paradigm allows the development of complex software platforms to be used in a wide range of real-world scenarios. One of the most successful areas these technologies have been applied are in the simulation and optimization of complex systems. Traffic simulation/optimization problems are a specially suitable target for such a...
Conference Paper
Full-text available
Regular expressions, or regexes, have been used traditionally as a pattern matching tool to search for structures in a set of objects, like flies, text documents or folders. Pattern matching can be used to look for flies whose name contains a given string, to search flies that contain a specific pattern within them, or simply to extract text in a s...
Chapter
Full-text available
Since Virtual Worlds (VWs) have been recognized as a powerful tool in education, they have been attracting the interest of many educational institutions and instructors. Our paper intends to explore the possibilities of using Virtual Worlds in foreign language teaching, focusing specifically on the A1 level (CEFR) of German language learners. The p...
Conference Paper
Full-text available
The growing of the number of vehicles cause serious strains on road infrastructures. Traffic jams inevitably occur, wasting time and money for both cities and their drivers. To mitigate this problem, traffic simulation tools based on multiagent techniques can be used to quickly prototype potentially problematic scenarios to better understand their...
Conference Paper
Full-text available
Virtual Worlds have become a very popular domain and its high inmersive characteristics can be used to extract infor-mation about the avatars behaviour. In this kind of environ-ment it is possible to obtain interesting data about avatars, such as their exact position in the world, what they are look-ing at (eye-gazing) or what they are talking abou...
Conference Paper
Full-text available
Over the last decade there has been a growing interest on Intelligent Agents and Multi-Agent Systems (MAS) in several fields such as Artificial Intelligence (AI), Software Engineering, Psychology, etc... Different problems can be solved in these fields by creating societies of agents that communicate with each other. Nevertheless, when the number o...
Conference Paper
Full-text available
Multimedia Information Retrieval is currently a hot research topic due the popularity of the World Wide Web and the huge amount of multimedia data available. There exists an increasing interest to design and develop new methods and techniques to represent and classify this kind of information. Among the different sources of multimedia information c...
Article
Full-text available
Genetic Algorithms (GA) is a family of search algorithms based on the mechanics of natural selection and biological evolution. They are able to efficiently exploit historical information in the evolution process to look for optimal solutions or approximate them for a given problem, achieving excellent performance in optimization problems that invol...
Conference Paper
Full-text available
Regular expressions, or simply regex, have been widely used as a powerful pattern matching and text extractor tool through decades. Although they provide a powerful and flexible notation to define and retrieve patterns from text, the syntax and the grammatical rules of these regex notations are not easy to use, and even to understand. Any regex can...
Chapter
Full-text available
The Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract and compose information. An automatic approach is required to handle with this huge amount of data. In this paper we present a machine learning algorithm based on Geneti...

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Projects

Projects (3)
Project
This project aims to help in the prevention of terrorism through the identification of radicalisation. In line with the EU priorities in this matter, the team of experts will identify and tackle the factors or indicators that raise a red flag about which individuals or communities are being radicalised and recruited to commit violent acts of terrorism. Thus, the project aims to develop a risk assessment methodology studying how to detect signs of radicalisation (e.g., use of language, behavioural patterns in social networks...) and to allow these signs to be compared against other web features (and patterns) extracted from sources such as social networks or social media. These features will be tested and analysed using advanced data mining methods, knowledge representation (semantic and ontology engineering) and multilingual technologies. This project is supported by the European Commission (grant number: 723180). The partners in charge of this project are the following: - Universidad Autónoma de Madrid (UAM, Spain) - Universite Lyon 1 Claude Bernard (UCBL, France) - Parc Sanitari Sant Joan De Déu (PSSJDD, Spain) - Cyprus Neuroscience And Technology Institute (CNTI, Cyprus)
Project
Design and develop a future UAS ground station demonstrator, beyond current products and a parallel Ph.D academic program around it
Project
This coordinated project focuses on the ephemeral properties -those with a transitory nature- that may affect the functioning of distributed versions of bioinspired algorithms. The availability of highly-volatile heterogeneous computer resources capable of running software agents requires an appropriate design and implementation of algorithms. This will allow to make a proper use of the available resources while circumventing the potential problems that may produce such non-reliable systems. Among the desired features for the algorithms under consideration -that will potentially be run on non-dedicated local computers, remote devices, cloud systems, ubiquituous systems, etc.- we look for ephemerality-awareness, which is related to self-capability for understanding the underlying systems where the algorithm is run as well as taking decisions on how to proceed taking into account the non-reliable nature of the system. Some of the relevant features that the so-adapted versions of bioinspired algorithm should feature are: (i) Inclusion (all nodes should have a meaningful contribution to the final result, and they should be incorporated to the distributed system in such a way that they do), (ii) Asynchrony (nodes communicate with the others without a fixed schedule due to their different performance), (iii) Resilience (the sudden disappearance of computing nodes must not destabilize the functioning of the algorithm), (iv) Emergence (the nature of the computational environment does not allow a centralized control and requires decentralized, emergent behavior), and (v) Self-adaptation (the algorithm should adapt itself to the changing computational landscape). We aim to develop models and algorithms featuring these desired properties, while approaching specific problems where they can be tested. The goals of the project are therefore: (1) Use bioinspired algorithms to analyze, model and optimize ephemeral computation environments, and (2) Deploy bioinspired systems on ephemeral computing environments to solve complex problems. We will pursue the previous goals using an Open Science philosophy, thus leading to an additional added-value objective, namely (3) Bridge the gap between Science and Society. More precisely, the above goals substantiate in the following objectives of the project: (i) Design bioinspired algorithms adapted to complex ephemeral environments. (ii) Performance study and prediction in ephemeral environments. (iii) Develop game AI and procedural game-content generators in ephemeral environments. (iv) Study computational creativity in ephemeral computing environments. (v) Create workflows and raise awareness on Open Science. The two application areas considered, namely computational creativity (where overall goals include analyzing and evolving the underlying social patterns of use and interactions, as well as making use of ephemeral properties of agents involved) and content generation in games (focusing on the automatic generation of diverse content, ranging from fixed components such as maps or levels, to emergent ingredients -e.g., narrative, or secondary goals- and the development of human-like non-player characters), constitute proofs-of-concept for the technologies developed and will provide results of stand-alone value. They are specific targets of the European research strategy and open important avenues for the technological transfer to industry. KEY WORDS OF THE COORDINATED PROJECT: ephemeral computing, bioinspired algorithms, optimization, self-*, computational creativity, videogames, open science