Resume

• 2010

  Master's degree

  Artificial Intelligence

  Technical University of Madrid

  A

• 2008.

  Created the steps and conditions necessary to perform a mandatory migration process in the main Database system for the company Amadeus. \nProject commenced on October 5

  completed February 28

  SQL Specialist

  Madrid Area

  Spain

  Amadeus

  Madrid

  Associate Professor

  Department of Applied Mathematics \nPresides over courses of Advanced Algebra Applications for Information Technology students. Responsible for all course material

  exams

  class tutorials and finals. \nhttp://www.eui.upm.es/sites/default/cicphp/info_per.php?id_personal=17\n\nAssociate Professor

  Department of Information Technology\nConducted courses of Programming Languages and Cryptography. \nResponsible for all course material

  exams

  class tutorials and finals.

  Associate Professor

  Universidad Politécnica de Madrid

  Madrid

  Installed and maintained replication data in the tax office Headquarters in Spain (short term project).

  Database admin

  IT Deusto

  Madrid

  Worked with Oracle and SQL DBA

  supporting developers based in Bassel (Switzerland)

  Nutley (New Jersey

  USA)

  Madrid (Spain) as well as other locations in France and Australia. Performed all duties under strict policies

  due to the company’s pharmaceutical status. \nProvided all phases of project during employment

  from commencement to delivery.\t\nwww.roche.com

  SQL Server Database Administrator

  Roche Pharmaceuticals

  Madrid

  Worked as a database expert

  providing Microsoft solutions for a prestigious client: Telefonica (the principal Telecom Provider in Spain). www.telefonica.com\nIn charge of the Microsoft Database Structure of Telefonica.\nResponsible for 4 members of the SQL Server Group.\nProject started on May 26

  2008 and remains in progress.

  Team Manager of SQL Server Group / Database Expert

  IBM Global Services Spain

  Madrid

  Developed projects related to Database installation and technical support. (short term project)

  Oracle and SQL Server Database Administrator

  M2C

• 2008

  Doctor of Philosophy (Ph.D.)

  Informatics

  Technical University of Madrid

  Magna Cum Laude

• 1994

  Bachelor's degree

  Mathematics and Computer Science

  Universidad Complutense de Madrid

  How to operate in the stock market

• Databases

  Oracle

  Windows

  SQL

  Dutch

  Security

  Microsoft SQL Server

  Spanish

  English

  Italian

  ANALYSIS OF P-SYSTEMS UNDER A MULTIAGENT SYSTEMS PERSPECTIVE

  Juan Castellanos

  Angel Goñi

  This work studies the P-systems from a different perspective

  we can be assured that it is a particular case of the multiagent systems. This opens a new possibility

  in the future

  to always evaluate the P-systems in terms of the multiagent systems\r\ntechnology.

  ANALYSIS OF P-SYSTEMS UNDER A MULTIAGENT SYSTEMS PERSPECTIVE

  This publication proposes an efficient way of communication between membranes (processors) in a Transition P-System

  Usefulness States in New P System Communication Architecture

  \tBiomolecular computing is the focus of this book. In particular

  the area of computing with the membranes of the living cells commonly referred as ‘membrane computing’ or ‘transition P-systems’. It introduces the concept of ‘adaptability’. Adaptability means the ability for the membrane computing model to interact with other technologies in order to obtain optimal results when dealing with complex problems.Some scenarios have the transition P-systems working together with other technologies. Furthermore

  methodologies and new software are introduced to implement the evolution rules application phase within membrane computing. These methodologies and software improve P-system’s functionality by processing the information in a faster way. This is especially useful to obtain optimal results when dealing with complex problems such as NP-complete problems

  New techniques to implement membrane systems

  Nuria Gomez

  Luis Fernando Mingo

  This work is focused in the development of methods for the evolutionary design of artificial neural networks. It focuses in optimizing the topology and structure of connectivity for these networks.

  The optimal combination: Grammatical swarm

  particle swarm optimization and neural networks

  . MARIA MAZZEI

  LUIS F. DE MINGO

  NURIA GOMEZ

  This work focuses on the training process of the neural\r\nnetworks

  the constraints and the election of the parameters to ensure successful results and to avoid the most common obstacles when searching optimal solutions.

  PSO AND NEURAL NETWORKS: OPTIMAL COMBINATION TO SOLVE NON COMPLEX PROBLEMS

  Luis Fernandez Muñoz

  Fernando Arroyo

  The goal we want to achieve is to propose an optimal method when simulating non deterministic processes. Talking about simulation of non deterministic method makes no sense when using deterministic tools; however we can get closer to the idea of non determinism by using more powerful\r\nrandomness generators.\r\n

  P-SYSTEMS: STUDY OF RANDOMNESS WHEN APPLYING EVOLUTION RULES

  Esta obra se centra en los sistemas de información basados en la naturaleza;en concreto en las propiedades matemáticas de las células vivas. La obra introduce el concepto de adaptabilidad en la computación de membranas celulares que se simulan por estructuras computacionales (P-sistemas de transición). Esta simulación de los sistemas biológicos de insformación se usa para la obtención de soluciones de problemas computacionales complejos. Por otro lado

  se entiende por adaptabilidad como la habilidad de los P-sistemas de transición para interactuar con otras tecnologías obteniendo resultados óptimos. Se muestran

  por tanto

  escenarios compuestos y modelos nuevos que tienen a los P-sistemas como actores. Además

  metodologías matemáticas y software nuevos se proponen para manejar e implementar la fase de aplicación de reglas de evolución en estos sistemas. Las metodologías y software que aquí se presentan mejoran la funcionalidad de los P-sistemas

  procesando la información de manera mucho más rápida. Esto es especialmente útil para seguir obteniendo resultados óptimos cuando nos enfrentamos a grandes problemas computacionales.

  Metodos matemáticos para sistemas bioinspirados

  Nuria Gomez

  Luis Fernando Mingo

  This paper explains some algorithms concerning packet routing using ant colony models. It might be implemented In-car entertainment systems based on wireless sensors with routing protocols to improve user experience.\r\nA local routing algorithm is proposed.

  Self Organizing Packet Routing with Ant Colonies: Tools

  Javier Gil

  Luis Fernandez

  This work describes the hyperplane of solutions for a linear system of Diophantine equations that models the rules application phase in the membrane computing model. It developes an algorithm that search the best solution for the improvement of the entire model

  Algorithm for Application of Evolution Rules Based on Linear Diophantine Equations

  Fernando Arroyo

  Angel Goñi

  This paper describes the evolution rules application process and it presents software techniques for calculating maximal multisets on every evolutionary step. These techniques improve the best performance achieved when applying evolution rules over multisets of objects. \r\n

  Calculating maximal multisets of objects by using RAM as support

  Nuria Gomez

  Luis Fernando Mingo

  Finding improvements to the design of computational models to deals with complex problems in a faster way

  “Solving complex problems with a Bio-inspired model”

  (Supervisor)

  Juan Castellanos

  The doctoral thesis focuses in new strategies for implementing new computational models for solving complex problems.

  New techniques for implementing membrane systems

  Nuria Gomez

  Luis Fernando Mingo

  This paper shows the Particle Swarm Optimization algorithm with a Differential Evolution. Each candidate solution is sampled in the interval [−5

  5] D where D indicates the dimension of the search space

  and the evolution is performed with a classical PSO algorithm and a classical DE/x/1 algorithm according to a random threshold.

  Towards natural optimization with Particle Swarm Optimization

  Alberto

  Arteta

  General Research Spain S.L

  Natural Computing group

  Citco Fund Services

  Amadeus

  Roche Pharmaceuticals

  IT Deusto

  M2C

  Troy University

  IBM Global Services Spain

  Universidad Politécnica de Madrid

  Expertise working with Bio-inspired models to calculate solutions to complex problems. Building new computational models

  such as membrane computing

  cells computing

  evolutionary computing and neural networks consistent with PhD research in Computer Science and Artificial Intelligence.\n\nhttp://www.gcn.upm.es/\n\nResearch goal: Models that predict behaviours of certain diseases by using differential equations.

  Researcher

  Madrid Area

  Spain

  Natural Computing group

  United States

  Assistant Professor

  Troy University

  Serves as Co-founder and account manager for General Research Spain.\nProject proposals by GRS focus on application of Artificial Intelligence in Security and Information Technology.\nConducts Research and Development projects for the 7th European framework program (FP7). http://ec.europa.eu/research/fp7/index_en.cfm

  Principal

  Co-founder

  Madrid Area

  Spain

  General Research Spain S.L

  Amsterdam

  Worked as IT and database consultant

  principal tasks included: \nPerforming maintenance operations

  optimizing the systems

  setting up security according to Citco policies

  installation and configuration of Database managers (Oracle 9.x SQL Server 2000)

  ensuring data replicates throughout the network. \nFocused on creating backup policies

  cluster management

  optimizing performance

  developing in Transact SQL and providing support to developers.\nwww.citco.com

  SQL Server Database Administrator

  Citco Fund Services