CURRICULUM VITAE. April 2012

Transcription

1 CURRICULUM VITAE Vicenç Gómez Cerdà April 2012 Stichting Neurale Netwerken Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour Department of Neuroinformatics, Phone: +31 (0) Heyendaalseweg 135, AJ Nijmegen, The Netherlands Personal Data DNI: Z Place of Birth/Nationality: Barcelona, Spain / Spanish Date of Birth: October 27th, 1977 Particular Address: Korenmarkt, VT, Nijmegen, The Netherlands Phone (particular): url: v.gomez@science.ru.nl vicenzio@gmail.com Academic Position current PostDoc at Faculty of Science (FNWI). Department of Biophysics, Radboud University, Nijmegen (The Netherlands) Dec PostDoc at Stichting Neurale Netwerken (SNN). Department of Biophysics, Radboud University, Nijmegen (The Netherlands) Dec PhD. Computer science and digital communication. Universitat Pompeu Fabra, Barcelona (Spain) Dec Teaching Assistant in Computer Science Engineering, Universitat Pompeu Fabra, Barcelona (Spain). Courses on Artificial Intelligence and Machine Learning, Prof. Hector Geffner. Graduate Studies Dec. 07 Nov Sept Nov. 04 PhD Thesis Algorithms and Complex Phenomena in Networks: Neural Ensembles, Statistical Inference and Online Communities (Universitat Pompeu Fabra, UPF). Degree of Diploma of Advanced Studies Event Modeling of message interchange in stochastic neural ensembles, supervised by Prof. Vicente López Martínez, UPF. Doctorate program Computer Science and Digital Communication of the Universitat Pompeu Fabra.

2 Undergraduate Studies Sept Sept. 02 Sept. 02 B. Sc. degree in Computer Science Engineering, Universitat Politècnica Catalunya Master Thesis, Training algorithms for Radial Basis Function Neural Networks (RBFNNs), supervised by Prof. Lluís Belanche Muñoz. Journal Papers 1. Adaptive classification on Brain Computer Interfaces using Reinforcement Signals, Llera A., Gómez V., Kappen H. J. Neural Computation, 24(11): , Dynamic Policy Programming, M. Gheshlaghi Azar, Gómez V., Kappen H. J. Journal of Machine Learning Research, (to appear) A likelihood-based framework for the analysis of discussion threads, Gómez V., Kappen H. J., Litvak N., Kaltenbrunner A. World Wide Web Journal, doi: /s Optimal control as a graphical model inference problem, Kappen H. J., Gómez V., Opper M. Machine Learning, 87(2): , On the use of Interaction Error Potentials for Adaptive Brain Computer Interfaces, Llera A., van Gerven M., Gómez V., Jensen O., Kappen H. J. Neural Networks 24(10): , Approximate inference on planar graphs using Loop Calculus and Belief Propagation, Gómez V., Kappen H. J., Chertkov M. Journal of Machine Learning Research 11(Apr): , Homogeneous temporal activity patterns in a large online communication space, Kaltenbrunner A., Gómez V., Moghnieh A., Meza R., Blat J., López V. International Journal on WWW/INTERNET 6, 1, pp Truncating the loop series expansion for Belief Propagation, Gómez V., Mooij J. M., Kappen H. J. Journal of Machine Learning Research 8(Sep): , Phase transition and hysteresis in an ensemble of stochastic spiking neurons, Kaltenbrunner A., Gómez V., López V. Neural Computation 19(11): , Conference (peer-reviewed) Papers 10. Dynamic Policy Programming with Function Approximation, M. Gheshlaghi Azar, Gómez V., Kappen H. J. International Conference on Artificial Intelligence and Statistics, AISTATS Modeling the structure and evolution of discussion cascades, Gómez V., Kappen H. J., Kaltenbrunner A. Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia, HT 2011.

3 12. Approximate inference on planar graphs using Loop Calculus and Belief Propagation, Gómez V., Kappen H. J., Chertkov M. This is a Proceedings (reduced) version of the Journal paper. Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI Sparse matrix factorization for Brain Computer Interfaces, Llera A., Gómez V., Kappen H. J. International Conference on Affective Computing & Intelligent Interaction, Self-organization using synaptic plasticity, Gómez V., Kaltenbrunner A., López V., Kappen H. J. Advances in Neural Information Processing Systems 21, NIPS Statistical analysis of the social network and discussion threads in Slashdot, Gómez V., Kaltenbrunner A., López V. Proceedings of the 17th International World Wide Web Conference, WWW Description and Prediction of Slashdot Activity, Kaltenbrunner A., Gómez V., López V. Proceedings of the 5th Latin American Web Congress, LA-WEB Homogeneous temporal activity patterns in a large online communication space, Kaltenbrunner A., Gómez V., Moghnieh A., Meza R., Blat J., López V. Workshop on Social Aspects of the Web, SAW th International Conference on Business Information Systems, BIS Event Modeling of Message Interchange in Stochastic Neural Ensembles, Gómez V., Kaltenbrunner A., López V. International Joint Conference Neural Networks, IJCNN Other 19. Learning Price-Elasticity of Smart Consumers in Power Distribution Systems, Gómez V., Chertkov M., Backhaus S., Kappen H. J. SmartGridComm 2012, Invited paper in Architectures & Models for the smartgrid. 20. Electro-Corticography (ECoG) connectivity patterns for Brain Computer Interfaces, Gómez V., Bleichner M. G., Valderrama A. Torres, Kappen, H. J., Ramsey N. Poster at FENS forum Electro-Corticography (ECoG) connectivity patterns during a motor response task, Gómez V., Bleichner M. G., Valderrama A. Torres, Kappen, H. J., Ramsey N. Poster at BrainGain consortium Error Potential based Brain Computer Interfaces, Llera A., Gómez V., Kappen, H. J. Poster at BrainGain consortium Stages Jul 2012 (1-15) May 2012 (1-30) Barcelona Media / Yahoo Labs! Barcelona Social Media group Project: Learning connectivity in Social Networks. Los Alamos National Laboratory (LANL) Theoretical Division and centre for non-linear Studies Project: Sparse linear regression models for the SmartGrid.

4 Mar 2011 (20-31) Sep 2009 (1-14) Jul 2008 (16-29) The Gatsby Computational Neuroscience Unit University College London (UCL), London. Project: Machine learning for the analysis online conversations. Los Alamos National Laboratory (LANL) Theoretical Division and centre for non-linear Studies Project: Gauge transformations for approximate inference in graphical models. Los Alamos National Laboratory (LANL) Theoretical Division and centre for non-linear Studies Project: Approximate inference in difficult planar graphical models using Loop Calculus framework. Projects Nov 12 - present Jan 09 - Oct 12 Dec Dec. 09 Jan Apr. 09 Sept Sept. 03 Sept Jan. 04 Complacs Brain Gain Interactive Collaborative Information Systems (ICIS). Promedas (PRObabilistic MEdical Diagnostic Advisory System). AIDA / RAA. Real-Time audio recognition using Hidden Markov Models. Music Technology Group. Institut Universitari de l Audiovisual. Universitat Pompeu Fabra. A Prolog expert-system for optimal pricings. Company: Cortiplex S.A. Journal/Conferences reviewing Journal of Statistical Mechanics (JSTAT) World Wide Web Journal (WWWJ) Neurocomputing IEEE Intelligent Systems Uncertainty in Artificial Intelligence (UAI) Artificial Intelligence and Statistics (AISTATS) International Joint Conference on Neural Networks (IJCNN) Invited talks Mar. 2011: Invited talk in Workshop on Random Graphs and the Brain, Eindhoven, The Netherlands title: Self-organization using synaptic plasticity.

5 Mar. 2011: Invited talk at UCL, London. title: A likelihood-based framework for the analysis of discussion threads. Sep. 2009: Invited talk in the Physics of Algorithms Workshop, Santa Fe, New Mexico May 2007: Invited talk in the Algorithms, Inference and Statistical Physics, workshop, Santa Fe, New Mexico Co-organizer Workshop on Content Analysis for the WEB th International World Wide Web Conference (WWW 2009). Teaching experience Sept present Sept present Jan. - Mar Co-Teaching (Physics) with Prof. Bert Kappen Machine Learning - autumn 2012, (lectures & practicals) Radboud University, Nijmegen. Co-Teaching (Bachelor) with Prof. Bert Kappen Inleiding Machine Learning - autumn 2012, (lectures & practicals) Radboud University, Nijmegen. Teaching Assistant (Physics) with Prof. John van Opstal Introduction to Biophysics (practicals) Radboud University, Nijmegen. Skills Dec Four academic years as Teaching Assistant (Computer Science) with Prof. Hector Geffner. (practicals) in Computer Science Artificial Intelligence Machine Learning 1 (Heur. Search, Planning, Logic,...) Machine Learning 2 (Neural Networks, Inference,...) Universitat Pompeu Fabra, Barcelona. Programming languages: C/C++, Matlab, Prolog, Octave. Languages Spanish and Catalan: English: Dutch: Mother tongues. Proficient level reading, writing and speaking. niveau A2/B1.

6 References Prof. dr. H.J. Kappen. Stichting Neurale Netwerken (SNN), Department of Medical Physics and Biophysics, University of Nijmegen, Dr. Michael Chertkov. Theory Division and Center for Nonlinear Studies at Los Alamos National Laboratory (LANL) Prof. dr. Hector Geffner. Department of Information and Communication Technologies, Universitat Pompeu Fabra,