EIC-RGSF in Intelligent SystemsSchool of Engineering and Sciences

Dr. Hugo Terashima Marınterashima@itesm.mx

25/January/2018

Contents

RGSF-IS Objectives.

Members and Research Lines.

Students.

Projects and collaboration.

Recent Publications

PhD and MSc in Computer Science

Agenda.

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RGIS - Objective

The Research Group with Strategic Focus in Intelligent Systems conducts both basic andapplied research for the development of algorithms and methodologies based on IntelligentSystems techniques:

Soft Computing Multi-agent Systems UncertaintyMachine Learning Data Mining

For solving various problems such as:

Optimization and Logistics Ambient Intelligence BionformaticsForecasting Business Intelligence

The aims of the RGSF-IS are: to generate and contribute to the knowledge pool in IS,to foster the internal and external collaboration, to have an impact on the training ofspecialized human resources, and to promote the innovation, the entrepreneurship andthe internationalization.

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RGIS - Objective

The Research Group with Strategic Focus in Intelligent Systems conducts both basic andapplied research for the development of algorithms and methodologies based on IntelligentSystems techniques:

Soft Computing Multi-agent Systems UncertaintyMachine Learning Data Mining

For solving various problems such as:

Optimization and Logistics Ambient Intelligence BionformaticsForecasting Business Intelligence

The aims of the RGSF-IS are: to generate and contribute to the knowledge pool in IS,to foster the internal and external collaboration, to have an impact on the training ofspecialized human resources, and to promote the innovation, the entrepreneurship andthe internationalization.

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RGIS - Objective

The Research Group with Strategic Focus in Intelligent Systems conducts both basic andapplied research for the development of algorithms and methodologies based on IntelligentSystems techniques:

Soft Computing Multi-agent Systems UncertaintyMachine Learning Data Mining

For solving various problems such as:

Optimization and Logistics Ambient Intelligence BionformaticsForecasting Business Intelligence

The aims of the RGSF-IS are: to generate and contribute to the knowledge pool in IS,to foster the internal and external collaboration, to have an impact on the training ofspecialized human resources, and to promote the innovation, the entrepreneurship andthe internationalization.

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RGIS - Objective

The Research Group with Strategic Focus in Intelligent Systems conducts both basic andapplied research for the development of algorithms and methodologies based on IntelligentSystems techniques:

Soft Computing Multi-agent Systems UncertaintyMachine Learning Data Mining

For solving various problems such as:

Optimization and Logistics Ambient Intelligence BionformaticsForecasting Business Intelligence

The aims of the RGSF-IS are: to generate and contribute to the knowledge pool in IS,to foster the internal and external collaboration, to have an impact on the training ofspecialized human resources, and to promote the innovation, the entrepreneurship andthe internationalization.

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RGIS - Research Lines

Nature-inspired Systems

Hugo Terashima M. (SNI I)

Santiago E. Conant P. (SNI I)

Jose C. Ortiz B. (SNI C)

Manuel Valenzuela R.

Context Intelligence

Francisco J. Cantu O. (SNI II).

Ramon F. Brena P. (SNI I)

Hector G. Ceballos C.

Juan C. Lavariega J.

Other collaborators

Vıctor M. Trevino (SNI II, EMCS).

Jose G. Tamez P. (SNI I, EMCS).

Juan A. Nolazco F. (SNI I,EIC-Regional).

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Research Area: Nature-inspired Systems

This subgroup is dedicated to conduct research and develop algorithms based oncomputational intelligence which in combination with other techniques aims tosolve problems in various domains such as Computing, Engineering, Health andBusiness.

Topics:

Computational Intelligence.Heuristics, Metaheuristics and Hyper-heuristics for Optimization.Machine Learning and Pattern Recognition for Automatic Generation of Algorithms.Applications in Forecasting and Logistics, Computational Finances, Automatic Control,Detection of Breast Cancer, Speech Recognition.

Members

Dr. Hugo Terashima Marın, Campus MTY, SNI IDr. Santiago E. Conant Pablos, Campus MTY, SNI IDr. Diego A. Oliva N. Campus GDA, SNI IDr. Jose Carlos Ortiz Bayliss, Campus MTYDr. Manuel Valenzuela Rendon Campus MTY

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Research Area: Nature-inspired Systems

Dr. Hugo Terashima Marın

PhD in Informatics, ITESM, 1998.SNI I, Regular Member of the Mexican Academy of Sciences and the MexicanAcademy of Computing.Interests: Heuristic metaheuristics and hyper-heuristics for intelligent search-ing, constraint satisfaction, pattern recognition for problem instance charac-terization, combinatorial optimization and AI applications.

Dr. Santiago Enrique Conant Pablos

PhD in Artificial Intelligence, ITESM, 2004.SNI I.Interests: Heuristics and machine learning, localization and tracking, visualand pattern recognition in imaging, multi-agent systems for Robotics.

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Research Area: Nature-inspired Systems

Dr. Jose Carlos Ortiz Bayliss

PhD in Information Technologies and Communications, ITESM, 2011.Posdoctorate, U. de Nottingham, 2014, Tecnolgico de Monterrey, 2014-2016.SNI Candidate.Interests: Soft computing for developing algorithms for solving combinato-rial problems, pattern recognition for problem instance characterization andtheir solution search by heuristics, metaheuristic and hyper-heuristic meth-ods, constraint satisfaction problems.

Dr. Manuel Valenzuela Rendon

PhD in Electrical Engineeering, U. of Alabama, 1989.Posdoctorate in Finance, U. of Tulane, 2009.Interests: Nature-inspired algorithms and applications to engineering prob-lems in design and optimization, optimization and forecasting in logistics,automatic control and computational finance.

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Research Area: Context Intelligence

This Area focuses in multi-agent systems, data mining, semantic technologies fordata integration, and has an important impact in ambient intelligence, softwaredevelopment, business intelligence, integration of hardware and software, and ap-plications in several domains.

Topics:

Ambient Intelligence.Semantic TechnologiesData integration and information quality.Data Mining, Competitive Intelligence

Members

Dr. Francisco J. Cantu Ortiz, Camput MTY, SNI II.Dr. Ramon F. Brena Pinero, Campus MTY, SNI I.Dr. Hector G. Ceballos Cancino, Campus MTY.Dr. Juan Carlos Lavariega Jarquın, Campus MTY.

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Research Area: Context Intelligence

Dr. Francisco J. Cantu O.

PhD in Artificial Intelligence, U. of Edinburgh, UK, 1997.SNI II, Regular Member of the Mexican Academy of Sciences and the MexicanAcademy of Computing.Interests: Business Intelligence, Artificial Intelligence

Dr. Ramon F. Brena Pinero

PhD in Informatics (Artificial Intelligence), INPG, France, 1989.SNI, Regular Member of the Mexican Academy of Sciences and the MexicanAcademy of Computing.Interests: Ambient Intelligence, Multi-agent Systems, Artificial Intelligence

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Research Area: Context Intelligence

Dr. Hector G. Ceballos CancinoPhD in Information Technologies and Communications, ITESM, 2010.Interests: Semantic Technologies, Multi-agent systems, Bayesian Networksand causality, Smart Cities.

Dr. Juan Carlos Lavariega Jarquın

PhD in Computer Science, Arizona State University, 1999.Interests: Information integration, analysis and modeling of structured andnon-structured data, data quality, software architectures, telemedicine, digitallibraries.

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Other Collaborators

Dr. Vıctor Manuel Trevino Alvarado (School of Medicine)

PhD in Computer Science, U. of Birmingham, 2007.SNI II.Interests: Optimization methodologies for variable selection in pattern recog-nition within the context of large data bases, bioinformatics.

Dr. Jose Gerardo Tamez Pena (School of Medicine)

SNI I.Interests: Quantitative analysis of medical images, with special interest inComputer Aided detection and diagnosis.

Dr. Juan Arturo Nolazco Flores (Regional Dean of School of Engi-neering and Sciences, Puebla)

PhD in Voice Automatic Recognition, U. of Cambridge, 1994.SNI I.Interests: Pattern recognition, voice and speech recognition.

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RGIS - Distinguished Professor

Dr. Carlos Artemio Coello Coello

SNI III, IEEE Fellow, Mexican Academy of Sciences, Mexican Academy ofComputing.Interests: Multi-objective optimization using metaheuristics, bio-inspiredmetaheuristics for optimization (e.g., evolutionary algorithms, artificial im-mune systems, particle swarm optimization, etc.).425 publications cited in Scopus.14347 citations in Scopus.h-index: 53.Editor of important indexed journals.Member of CONACyT Commisions.Award: Premio Nacional de Ciencias y Artes 2012.Award: Scopus-Mexico 2012.

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RGIS - Posdoctoral Fellows

Dr. Alejandro Rosales P.

PhD in Computer Science (INAOE 2016).12 publications in JCR.SNI I.

Dr. Ivan M. Amaya C.

PhD in Engineering (U. Industrial Bucaramanga, Colombia, 2015).10 publications in JCR.SNI I.

Dr. Andres Eduardo Gutierrez R.

PhD in Computer Science (INAOE, 2015).5 publications in JCR.SNI C.

Dra. Barbara Sandra Lancho BarrantesPhD in Computer Science (U. de Extremadura, 2013).4 publications in JCR.

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RGIS - Current Students

PhD Students:

Alan Israel Torres NogalesAlejandro Garza CuellarArmando Bernardo Nava OrtizDulce Jaqueline Magana LozanoGustavo Andres Lopez HernandezJorge Alberto Hernandez CastroJorge Humberto Moreno ScottManuel de Jesus Rodrıguez ManchaNelson Ivan Gonzalez MaganaRicardo Javier Parra AlvarezLorenza Illanes S.Guillermo Arturo Martınez M. (DCC)Jose Ricardo Abreu P. (DCC)Antonio A. Aguileta G. (DCC)Anthony G. Ayala B. (DCC)

MSc Students:

Elba Jania Moctezuma PerezEliot R. Rodrıguez G.Gabriel Gonzalez S.Homero Hernandez B.Jorge L. Lujan MenchacaJose Leonel Gonzalez SanchezLuis F. Gonzalez RivasLuis J. Melendez RuizRoberto A. Gonzalez GuajardoVıctor M. Flores SolorioMarcelo Roger GarcıaAlejandro Casar B. (MCC-i)Luis Antonio Puente R. (MCC-i)Luis Fernando Plata G. (MCC-i)Fernando Garza Santiesteban (MCC-i)Juan Jaime E. Montemayor S. (MCC-i)Cesar Leonardo Clemente L. (MCC-i)Roberto Sanchez P. (MCC-i)

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RGIS - Current Students

BSc Students:

Luis F. Plata G.Cesar Leonardo Clemente L.Juan Carlos CantuJose GonzalezMarco PeyrotSandra MendozaSemana i (Sep 2015): Aplicaciones Webpara Sistemas de Transporte InteligenteSemana i (Sep 2016): IA para ResolverAplicaciones de Optimizacin en laIndustriaSemana i (Sep 2017): Innovacionmediante Inteligencia Artificial paraResolver Problemas de Optimizacin en laIndustria

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RGIS - Recent Projects

Feature Transformation for Improving Characterization in Combinatorial Opti-mization ProblemsConvocatoria Ciencia-Basica CONACyT 2017, 2018-2021.Principal Researcher: Dr. Ivan Mauricio Amaya C.Advancing Hyper-heuristic Research for Solving Optimization ProblemsConvocatoria Ciencia-Basica CONACyT 2014, 2015–2018.Principal Researcher: Dr. Hugo Terashima Marın.Generality on Hyper-heuristics for Multiple Optimization DomainsSabbatical research stay supported by TEC-CONACyT, August, 2013–June, 2014.Principal Investigator: Dr. Hugo Terashima Marın.Exploring and Understanding Heuristic Interactions on the Performance ofHyper-heuristic ModelsPostdoctoral research stay supported by TEC, June, 2014–May, 2015.Principal Investigator: Dr. Jose Carlos Ortiz Bayliss, Supervised by: Dr. HugoTerashima Marın.DECIDE 2.0: Toma inteligente de decisiones basada en uso de redes sociales engobierno electronico a traves de argumentacion y recuperacion de informacionen contextoLACCIR.Principal Investigators: Dr. Carlos Chesnevar (Argentina) and Dr. Ramon F. BrenaP.

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RGIS - Recent Projects

Plataformas Autonomicas con razonamiento semantico, probabilıstico y causalProyecto Ciencia Basica CONACyT, 2012–2015.Principal Investigator: Dr. Hector G. Ceballos Cancino.

Multivariate Image Analysis in Chronic Diseases: Alzheimer and OsteoarthritisPrincipal Investigator: Dr. Jose G. Tamez P.

Exploracion por redes de interaccion de genes para la identificacion de biomar-cadores genomicos en cancer y celulas madrePrincipal Investigator: Dr. Vıctor M. Trevino A.

Reconocimiento de Patrones aplicado a Verificacion de Personas basado envozSabbatical Research Stay supported by TEC, September, 2014–August,2015.Responsibles: Dr. Juan Carlos Cuevas T., Dr. Manuel Valenzuela R. and Dr. JuanA. Nolazco F.

REMERI: Mexican Network of Institutional RepositoriesCONACyT (2013). Principal Investigator: Dr. Juan C. Lavariega J.

Remote Detection and Diagnosis for Breast Cancer Google Project, 2007 –Principal Investigator: Dr. Hugo Terashima Marn.

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RGIS - Collaboration

Internal and external research groups:

TI Models on Computational Learning.

TI Telecommunications.

EIC Robotics.

EMCS - Bioinformatics .

U. of Nottingham (ASAP), U of Stirling (CHORDS), U of Napier-Edinburgh, U. of Houston, U. of California-Berkeley, Clark & Parsia,U. Nacional del Sur (Argentina), U. Andres Bello (Chile), IT Leon,UABC, UTexas (San Antonio).

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RGIS - Recent Publications (JCR)

Rosales-Perez, A., Garcia, S., Gonzalez, J. A., Coello Coello, C. A., Herrera, F.,An Evolutionary Multiobjective Model and Instance Selection for Support VectorMachines With Pareto-Based Ensembles, IEEE Transactions on Evolutionary Com-putation, Volume 21, Number 6, December 2017, Pages 863 - 877Brena, R. F., Garcia-Ceja, E., A crowdsourcing approach for personalization inhuman activities recognition(, Intelligent Data Analysis, Volume 21, Issue 3, 2017,Pages 721-738Aguilar-Gonzalez, A., Nolazco-Flores, J.A., Vargas-Rosales, C., Bustos, R., Char-acterisation, design and simulation of an efficient peer-to-peer content distributionsystem for enterprise networks, Peer-to-Peer Networking and Applications, Volume10, Issue 1, 1 January 2017, Pages 122-137Osuna-Enciso, V., Cuevas, E., Oliva, D., Ziga, V., Prez-Cisneros, M., Zaldvar, D.,A multiobjective approach to homography estimation, Computational Intelligenceand Neuroscience, Volume 2016, 2016, Article number 3629174 Open AccessOrtiz-Bayliss, J.C., Terashima-Marin, H., Conant-Pablos, S.E., Combine andconquer: an evolutionary hyper-heuristic approach for solving constraint satisfactionproblems, Artificial Intelligence Review, Volume 46, Issue 3, 1 October 2016, Pages327-349Sosa-Ascencio, A., Ochoa, G., Terashima-Marin, H., Conant-Pablos, S.E., Grammar-based generation of variable-selection heuristics for constraint satisfaction problems,Genetic Programming and Evolvable Machines, Volume 17, Issue 2, 1 June 2016,Pages 119-144

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RGIS - Recent Publications (JCR)

Garcia-Ceja, E., Brena, R.F., Activity recognition using community data to com-plement small amounts of labeled instances, Sensors (Switzerland), Volume 16, Issue6, 14 June 2016, Article number 877 Open Access

Lavariega, J.C., Garza, R., Gmez, L.G., Lara-Diaz, V.J., Silva-Cavazos, M.J., EEMI- An electronic health record for pediatritians: Adoption barriers, services and use inMexico, International Journal of Healthcare Information Systems and Informatics,Volume 11, Issue 3, July-September 2016, Pages 57-69

Aguilar-Rivera, R., Valenzuela-Rendon, M., Rodrguez-Ortiz, J.J. Genetic algo-rithms and Darwinian approaches in financial applications: A survey, Expert Systemswith Applications, Volume 42, Issue 21, 26 June 2015, Pages 7684-7697

Lopez-Camacho, E., Terashima-Marin, H., Ross, P., Ochoa, G., A unified hyper-heuristic framework for solving bin packing problems, Expert Systems with Applica-tions, Volume 41, Issue 15, 1 November 2014, Pages 6876-6889

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PhD and Master in Computer Science

National school of Engineering and Sciences

PhD DCC

PhD DCI

PhD DBT

PhD DNT

Bio-inspired algorithms Machine LearningData Science

and Applied Mathematics

MCC

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Participation in 48 CIDTEC - 25 of january, 2018

Agenda:

09:00-09:15 Introduccion al Grupo de Enfoque en SistemasInteligentesExpositor: Dr. Hugo Terashima Marın

09:15-09:27 Creando una hiperheurıstica para el ruteo devehıculosExpositores: Dr. Santiago E. Conant P, Dr. Andres E. Gutierrez R.

09:27-09:39 Contexto en la Inteligencia AmbientalExpositores: Dr. Ramon F. Brena P., Dr. Hector G. Ceballos C.

09:39-09:51 Derrotando a una hiperheurısticaExpositores: Dr. Jose Carlos Ortiz Bayliss, Dr. Ivan M. Amaya C.,Dr. Alejandro Rosales P.

09:51-09:55 Conclusiones y cierre

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Thank you!Any questions?

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