Mario Graff. Curriculum Vitae

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1 Mario Graff Curriculum Vitae Division of Postgraduate Studies Faculty of Electrical Engineering Universidad Michoacana de San Nicolás de Hidalgo, México B Professional Preparation PhD in Computer Science, School of Computing Science and Electronic Engineering, University of Essex, Colchester, UK. Models of the Performance of Evolutionary Program Induction Algorithms Professor Riccardo Poli Models of performance of evolutionary program-induction algorithms such as: Genetic Programming, Cartesian Genetic Programming among others are proposed. The models are based on measuring the similarity between a set of references problems and the problem whose performance is being estimated. Besides performing accurate predictions of unseen problems, these models have been used to solve the algorithm selection problem and can help in the analysis and comparison of different algorithms and/or algorithms with different parameter settings M. S. in Electrical Engineering with option in Computer Science, Faculty of Electrical Engineering, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, México. Master Thesis System Identification Using Genetic Programming (in Spanish) Professor Juan J. Flores Genetic programming was used to evolve systems of ordinary differential equations that model a particular system. GP receives the inputs and the response of the system. It returns the systems of equations exhibiting that particular behaviour B. S. Electrical Engineering, Faculty of Electrical Engineering, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán, México. Undergraduate Thesis Data Structures and Algorithms for Net Optimization (in Spanish) Professor Juan J. Flores A Java-framework that helps in the creation of animations of data structures operation was developed. This framework was used to animate a number of data structures used in traditional graph problems such as minimum spanning trees, and maximum flow problem, among others. Appointments 2011 current Assistant Professor, Universidad Michoacana de San Nicolás de Hidalgo, Faculty of Electrical Engineering, Morelia, Michoacán, México. The principal activity is to research on the following fields: Evolutionary Algorithms, Algorithm Selection Problem, and Time Series Forecasting; and supervise M.Sc. and PhD students. I also give lectures in the Computer Science Bachelor and in the M. Sc. in Electrical Engineering Lead Software Developer and System Administrator, Subdirección de Ingresos, State Government of Michoacán de Ocampo, Morelia, Michocán, México. 1/5

2 I was the lead developer in the design and maintenance of the vehicle registration system of the state of Michoacán, México. My duties also included the management of the database and the Linux servers. Honors Member of the National Research System, Level C, National Council of Science and Technology (CONACyT), Mexico Best Student Paper Award in the 20th International Symposium on Computer and Information Sciences (ISCIS 05), October 26-28, Istanbul, Turkey Honour Mention, Master in Science Degree Distinction Honour Mention, Bachelor in Electrical Engineering. Peer-reviewed Publications (Journal Articles) 2013 Mario Graff, Hugo Jair Escalante, Jaime Cerda-Jacobo, and Alberto Avalos Gonzalez. Models of Performance of Time Series Forecasters. Neurocomputing, forthcoming Mario Graff, Riccardo Poli and Juan J. Flores. Models of performance of evolutionary program induction algorithms based on indicators of problem difficulty. Evolutionary Computation, doi: /evco_a_00096, Juan J. Flores, Mario Graff, and Hector Rodriguez. Evolutive design of ARMA and ANN models for time series forecasting. Renewable Energy, 44: , Mario Graff and Riccardo Poli. Practical Performance Models of Algorithms in Evolutionary Program Induction and other Domains. Artificial Intelligence, 174(15): , Juan J. Flores and Mario Graff. Lessons Learned in Modeling Dynamic Systems using Genetic Programming. Research in Computing Science, 26: , CEC 2013 IBPRIA 2013 CIIECC 2013 MCPR 2011 Peer-reviewed Publication (Conferences and Workshops) Mario Graff, Rafael Peña and Aurelio Medina. Wind Speed Forecasting using Genetic Programming. Forthcoming. Congress on Evolutionary Computation. Cancún, México, June Hugo Jair Escalante, Karlo Mendoza, Mario Graff, and Alicia Morales-Reyes. Genetic programming of prototypes for pattern classification. In Joao M. Sanches, Luisa Mico, and Jaime S. Cardoso, editors, Pattern Recognition and Image Analysis, number 7887 in LNCS, pages Springer Berlin Heidelberg, January Eric Iturbide, Jaime Cerda, and Mario Graff. A comparison between LARS and LASSO for initialising the time-series forecasting auto-regressive equations. Procedia Technology, 7: , Eric Sadit Tellez, Edgar Chavez, and Mario Graff. Scalable pattern search analysis. In Jose Francisco Martinez Trinidad, Jesus Ariel Carrasco-Ochoa, Cherif Ben-Youssef Brants, and Edwin Robert Hancock, editors. Pattern Recognition - Third Mexican Conference, MCPR 2011, volume 6718 of LNCS pages 75-84, Cancún, México, June 29 - July 2, Springer. 2/5

3 EuroGP 2011 MICAI 2010 GECCO 2009 EuroGP 2009 EuroGP 2009 Mario Graff and Riccardo Poli. Performance Models for Evolutionary Program Induction Algorithms based on Problem Difficulty Indicators. In Sara Silva, James A. Foster, Miguel Nicolau, Mario Giacobini and Penousal Machado, editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621 of LNCS, pages , Turin, Italy, Apr Springer. Juan J. Flores, Hector Rodriguez and Mario Graff. Reducing the Search Space in Evolutive Design of ARIMA and ANN Models for Time Series Prediction. In Grigori Sidorov, Arturo Hernández Aguirre and Carlos A. Reyes García, editors, 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, volume 6438 of LNCS, pages , Pachuca, Hidalgo, México, Nov Springer. Riccardo Poli and Mario Graff. Free Lunches for Neural Network Search. Proceedings of the 11th Annual conference on Genetic and evolutionary computation, GECCO 2009, pages , Montreal, Québec, Canada, July Mario Graff and Riccardo Poli. Automatic creation of taxonomies of genetic programming systems. In L. Vanneschi, S. Gustafson, A. Moraglio, I. De Falco, and M. Ebner, editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481 of LNCS, pages , Tuebingen, Germany, Apr Springer (nominated for best paper award). Riccardo Poli and Mario Graff. There is a free lunch for hyper-heuristics, genetic programming and computer scientists. In L. Vanneschi, S. Gustafson, A. Moraglio, I. De Falco, and M. Ebner, editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481 of LNCS, pages , Tuebingen, Germany, April Springer (nominated for best paper award). FOGA 2009 Riccardo Poli, Mario Graff, and Nicholas F. McPhee. Free lunches for function and program induction. In FOGA 09: Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, pages , Orlando, Florida, USA, 9-11 Jan EuroGP 2008 CEC 2007 CERMA 2007 ISCIS 2005 AMSE 2005 CCCT 2004 Mario Graff and Riccardo Poli. Practical model of genetic programming s performance on rational symbolic regression problems. In M. O Neill, L. Vanneschi, S. Gustafson, A. Esparcia-Alcázar, I. D. Falco, A. D. Cioppa, and E. Tarantino, editors, Proceedings of the Eleventh European Conference on Genetic Programming (EuroGP-2008), volume 4971 of Lecture Notes in Computer Science, pages , Naples, Italy, March Springer. Mario Graff, Riccardo Poli and Alberto Moraglio. Linear selection. Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, pages , Singapure, September Eric S. Tellez, Jose Ortiz and Mario Graff. Pgsync: A multiple-reader/single-writer table replication tool for high loaded distributed relational sql databases. Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007, pages , Cuernavaca, Morelos, México, Juan J. Flores and Mario Graff. System Identification using Genetic Programming and Gene Expression Programming, 20th International Symposium on Computer and Information Sciences (ISCIS 05. Istanbul, Turkey), Springer 2005, LNCS 3733, ISBN October, 2005 (best student paper award). Juan J. Flores, Mario Graff and Erasmo Cadena. Wind Prediction Using Genetic Programming and Gene Expression Programming, Proceedings of the International Conference on Modelling and Simulation in the Enterprise. AMSE Morelia, México. Juan J. Flores, Eric Tellez and Mario Graff. Java Library for Making Graph GUIs. International Conference on Computer Comunication and Control Technologies, CCCT Austin, TX /5

4 Publish abstracts and posters 2009 De la Fuente-Sandoval C., Favila R, Graff-Guerrero M, Fresan A, León-Ortiz P, Menon M, Graff-Guerrero A. Individuals with Prodromal symptoms for Schizophrenia showed abnormal fmri brain activation to anticipation of unpleasant stimuli. XLVIII Annual Meeting of the American College of Neuropsychopharmacology. Hollywood, Florida, 6-10 December De la Fuente-Sandoval C, Favila R, Graff-Guerrero M, Fresan A, León-Ortiz P, Sylvana S, Menon M, Graff-Guerrero A. Activación cerebral anormal a la anticipación a un estímulo desagradable en individuos con síntomas prodrómicos de la esquizofrenia: estudio con resonancia magnética funcional. XXI Congreso Nacional de la Asociación Psiquiátrica Mexicana A. C. Acapulco, Guerrero, de noviembre, De la Fuente-Sandoval C, Favila R, Graff-Guerrero M, Fresan A, León-Ortiz P, Stephano S, Menon M, Graff-Guerrero A. Activación cerebral anormal a la anticipación a un estímulo desagradable en individuos con síntomas prodrómicos de la Esquizofrenia: Estudio con Resonancia Magnética funcional. XIV Reunión Anual de Investigación del Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez. México, D.F., 21 y 22 de mayo, De la Fuente-Sandoval C., Favila R., Graff-Guerrero M., Fresán A., León-Ortíz P., Menon M., Graff-Guerrero A. Individuals with Prodromal Symptoms for Schizophrenia Showed Abnormal fmri Brain Activation to Anticipation of In pleasant Stimuli. Meeting Society of Biological Psychiatry. Vancouver, Canada. May De la Fuente-Sandoval C, Favila R, Graff-Guerrero M, Fresan A, León-Ortiz P, Menon M, Graff-Guerrero A. Individuals with prodromal symptoms for schizophrenia showed abnormal fmri brain activation to anticipation of unpleasant stimuli. International Prodromal Research Network. Adolescent Brain Development, Neuroplasticity, and the Onset of Psychosis. March 26-27, San Diego, California, US Mario Graff, Riccardo Poli and Alberto Moraglio. Linear selection. Proceedings of the 9th annual conference on Genetic and evolutionary computation, GECCO 2007, pages , London, UK., July Research Support National Council of Science and Technology (CONACyT) grant Techniques to Determine the Feasibility, Planning and Operation of Eolic Farms, their Impact in the Energy Quality, and their Stability under Non-Linear Oscillations. Total amount: $1,020, (MXN) approx. $79, (USD). Role: Co-investigator. Principal Applicant: Aurelio Medina Rios Secretary of Education (PROMEP) grant Modelling Auto-regressive Equations and Artificial Neural Network on the Problem of Wind-Speed Forecasting. Total amount: $251, (MXN) approx. $19, (USD). Role: Principal Applicant Council of Research, Universidad Michoacana de San Nicolás de Hidalgo grant Modelling Power Transformers on the SFRA test using Machine Learning Techniques. Total amount: $45, (MXN) approx. $3,500 (USD). Role: Co-applicant. Principal applicant: José Alberto Avalos Gonzalez Council of Research, Universidad Michoacana de San Nicolás de Hidalgo grant The Use of Problem Difficulty Indicators to Model the Performance of Genetic Algorithms. Total amount: $20, (MXN) approx. $1, (USD). Role: Principal applicant National Council of Science and Technology (CONACyT) grant Convocatoria 2010 de Apoyos Complementarios para la Consolidación Institucional de Grupos de Investigación, Modalidad Repatriación (Complementary Support to Research Groups 2010). Total amount: $426, (MXN) approx. $33, (USD). Role: Principal applicant. 4/5

5 This grant is given by CONACyT to allow Universities to hire new researchers/professors in order to increase their international competitiveness. y Experience 2012 current Noel Rodriguez Maya, Analysis of Neural Networks Fitness Landscape. PhD. Universidad Michoacana de San Nicolás de Hidalgo, México. (Co-supervisor with Juan J. Flores) current Marco Antonio Pacheco Alvarez. Modeling SFRA using Genetic Programming. M. S. Universidad Michoacana de San Nicolás de Hidalgo, México. (Co-supervisor with Jaime Cerda Jacobo) current Ranyart Rodrigo Suarez Ponce de Leon. Parameter Influence Determination for ANN s Training Algorithms on Time Series Forecasting. M. S. Universidad Michoacana de San Nicolás de Hidalgo, México. (Co-supervisor with Juan J. Flores) Eric Iturbide Diaz. Comparison of LARS and LASSO for Initialising Auto-Regressive Equations. M. S. Universidad Michoacana de San Nicolás de Hidalgo, México. (Co-supervisor with Jaime Cerda Jacobo) Marco Tulio Arreola Fernandez. Automatic Design of Artificial Neural Network Classifiers by Means of Genetic Algorithms. M. S. Universidad Michoacana de San Nicolás de Hidalgo, México. (Co-supervisor with Juan J. Flores) 5/5

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