Research Interest. Work Experience
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1 Jesús Fernández Bes Calle Principe don Juan Carlos 6 3 o C Alcorcón (Madrid, Spain) jesus.fbes@gmail.com jesusfbes Born in Zaragoza (Spain) in 1986 Research Interest Machine Learning and Signal Processing techniques, In particular Adaptive Filtering, Probabilistic Modelling and Reinforcement Learning and their applications. Work Experience Oct Present Sep Dec Jan Jul Researcher, Carlos III University in Madrid, Leganés (Madrid, Spain). Under FPU Spanish Ministry of Education program. Tasks: Researcher at Information Management and Processing Group (G2PI); Participant in Research Projects and Contracts related to Signal Processing and Machine Learning; Teacher of Systems and Circuits, Data Processing, Digital Image Processing (Spanish & English). Vissiting Graduate Researcher, University of California, Los Ángeles (UCLA), United States of America, Adaptive Systems Laboratory. Supervisor: Ali H. Sayed. Development of new schemes of distributed estimation based in diffusion. Project Engineer, Elecnor Deimos, Tres Cantos (Madrid, Spain). Internship in Internet & Mobility Division. Tasks: Android Programmer in the national R&D project: España Virtual; Develop an Augmented Reality Geo-located System. Education Ph.D. in Multimedia and Communications, Carlos III University, Madrid (Spain). Thesis: Algorithms for Energy-Efficient Adaptive Wireless Sensor Networks Supervisors: Jesús Cid Sueiro and Jerónimo Arenas García. Grade: Summa Cum Laude MSc. in Multimedia and Communications, Carlos III University and King Juan Carlos University, Madrid (Spain). Major in Data and Signal Processing. Courses of Machine Learning, Signal Processing, Computer Vision, Speech Processing, Optimization, etc.
2 Telecommunication Engineering, Carlos III University, Leganés (Madrid, Spain), Bilingual Spanish-English. Erasmus at Chalmers University of Technology. Gothenburg (Sweden). Spanish Awards Best Student Award in Telecommunication Engineering (Year 2009/2010), Carlos III University in Madrid. Languages Native level English High level Cambridge Certificate in Advanced English French Operating Systems Basic level Computer skills Windows, Mac OS, Linux, Android. Programming Languages Python, Matlab, R, Java, Scala, C. Big Data Fameworks Hadoop, Spark. Publications Journals J. Fernandez-Bes, J. Cid-Sueiro, and A. Marques. An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions. IEEE Journal on Selected Areas in Communications, PP(99):1 1, J. Fernandez-Bes, R. Arroyo-Valles, and J. Cid-Sueiro. Asymptotic analysis of cooperative censoring policies in sensor networks. Ad Hoc Networks, 29:63 77, J. Fernandez-Bes, L. A. Azpicueta-Ruiz, J. Arenas-García, and M. T.M. Silva. Distributed estimation in diffusion networks using affine leastsquares combiners. Digital Signal Processing, 36:1 14, Conferences J. Fernandez-Bes, V. Elvira, and S. Van Vaerenbergh. A probabilistic least-mean-squares filter. In IEEE International Conference onacoustics, Speech and Signal Processing (ICASSP), Brisbane (Australia), J. Fernandez-Bes, J. Arenas-Garcia, and A. H. Sayed. Adjustment of combination weights over adaptive diffusion networks. In IEEE International Conference onacoustics, Speech and Signal Processing (ICASSP), pages , Florence (Italy), J. Fernandez-Bes, A. G. Marques, and J. Cid-Sueiro. Battery-aware selective transmitters in energy-harvesting sensor networks: Optimal solution and stochastic dual approximation. In International Symposium
3 on Wireless Communication Systems (ISWCS). VDE VERLAG GmbH, J. Fernandez-Bes, L. A. Azpicueta-Ruiz, M.T.M. Silva, and J. Arenas- Garcia. Improved least-squares-based combiners for diffusion networks. In International Symposium on Wireless Communication Systems (ISWCS). VDE VERLAG GmbH, J. Fernandez-Bes, L.A. Azpicueta-Ruiz, M.T.M. Silva, and J. Arenas- Garcia. A novel scheme for diffusion networks with least-squares adaptive combiners. In IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Santander (Spain), J. Fernandez-Bes and J. Cid-Sueiro. Decentralized detection with energy-aware greedy selective sensors. In 3rd International Workshop on Cognitive Information Processing (CIP), Baiona (Spain), J. Fernandez-Bes, R. Arroyo-Valles, and J. Cid-Sueiro. Cooperative data censoring for energy-efficient communications in sensor networks. In IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pages 1 6, Beijing (China), Research Projects Distributed Learning in Energy-Efficient Adaptive Sensor Networks (DILEAS). Principal Researcher: Jerónimo Arenas García Técnicas avanzadas de Filtrado Adaptativo: Aplicación en Redes de Sensores y Sistemas Dispersos. Principal Researcher: Jerónimo Arenas García New Algorithms for Selective Transmission and Processing in Sensor Networks: Application to Target Classification and Tracking. Principal Researcher: Francisco J. González Serrano España Virtual. Participants: DEIMOS, IGN/CNIG, Indra, Androme, GeoSpatiumLab, DNX, Prodevelop, TID. Funding Organization: Spanish Industry Ministry (CENIT). Principal Researcher: DEIMOS.
4 Research Contracts 2015 Sistema de recomendación para su incorporación en una aplicación móvil. "Portal de acceso". Funding Organization: Future Space S.A. Principal Researcher: Vanessa Gomez Verdejo Servicio de Tipificación de la Base de Datos de Dominios ".es". Funding Organization: red.es. Principal Researcher: Ángel Navia Vazquez Proyecto experimental empleando técnicas de búsqueda de semántica latente para la vigilancia del Sector TIC y el fomento de la Sociedad de la Información. Funding Organization: Spanish Secretary of State of Telecommunications and Information Society. Principal Researchers: Jerónimo Arenas-García and Jesús Cid Sueiro Desarrollo de un Proyecto Piloto para Analizar la Viabilidad de Utilizar Internet como Fuente de Datos. Funding Organization: red.es. Principal Researcher: Jesús Cid Sueiro, Sergio Muñoz Romero, and Miguel Lázaro Gredilla. Courses Summer Schools and Seminars Nov Multisensor Fusion: Advanced Methodologies and Applications, NATO Lecture Series, Research & Technology Organization (NATO). Apr Machine Learning Summer School (MLSS) 2012, La Palma (Spain). Online Courses Jul R. Programming, Coursera.org online course, Lecturer: Dr. Roger D. Peng (Johns Hopkins University). Jul Apr Jan Jun Jun Mar Introduction to Biomedical Imaging, edx.org online course, Lecturer: Dr. Graham Galloway (Queensland University). Discrete Inference and Learning in Artificial Vision, Coursera.org online course, Lecturer: Dr. Nikos Paragios (Ecole Centrale Paris). Machine Learning, Lecturer: Dr. Andrew Ng. (Stanford University). Web Intelligence and Big Data, Coursera.org online course, Lecturer: Dr. Gautam Shroff (Indian Institute of Technology Delhi). Functional Programming Principles in Scala, Coursera.org online course, Lecturer: Dr. Martin Odersky (EPFL). Control of Mobile Robots, Coursera.org online course, Lecturer: Dr. Magnus Egerstedt (Georgia Institute of Technology).
5 Jan CS373: Artificial Intelligence for Robotics, Udacity.com online course, Lecturer: Dr. Sebastian Thrun (Stanford University). Dec Mar Next Generation Mobile Communications, Spanish Official Association of Telecommunication Engineering, Lecturer: Dr. José María Hernando Rábanos. Probabilistic Graphical Models, Coursera.org online course, Lecturer: Dr. Daphne Koller (Stanford University).
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