EIC-RGSF in Intelligent Systems

Transcription

1 EIC-RGSF in Intelligent Systems School of Engineering and Sciences Dr. Hugo Terashima Marín 25/January/2018

2 Contents RGSF-IS Objectives. Members and Research Lines. Students. Projects and collaboration. Recent Publications PhD and MSc in Computer Science Agenda. 2 / 23

3 RGIS - Objective The Research Group with Strategic Focus in Intelligent Systems conducts both basic and applied research for the development of algorithms and methodologies based on Intelligent Systems techniques: 3 / 23

4 RGIS - Objective The Research Group with Strategic Focus in Intelligent Systems conducts both basic and applied research for the development of algorithms and methodologies based on Intelligent Systems techniques: Soft Computing Multi-agent Systems Uncertainty Machine Learning Data Mining 3 / 23

5 RGIS - Objective The Research Group with Strategic Focus in Intelligent Systems conducts both basic and applied research for the development of algorithms and methodologies based on Intelligent Systems techniques: Soft Computing Multi-agent Systems Uncertainty Machine Learning Data Mining For solving various problems such as: Optimization and Logistics Ambient Intelligence Bionformatics Forecasting Business Intelligence 3 / 23

6 RGIS - Objective The Research Group with Strategic Focus in Intelligent Systems conducts both basic and applied research for the development of algorithms and methodologies based on Intelligent Systems techniques: Soft Computing Multi-agent Systems Uncertainty Machine Learning Data Mining For solving various problems such as: Optimization and Logistics Ambient Intelligence Bionformatics Forecasting 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 of specialized human resources, and to promote the innovation, the entrepreneurship and the internationalization. 3 / 23

7 RGIS - Research Lines Nature-inspired Systems Hugo Terashima M. (SNI I) Santiago E. Conant P. (SNI I) José C. Ortiz B. (SNI C) Manuel Valenzuela R. Context Intelligence Francisco J. Cantú O. (SNI II). Ramón F. Brena P. (SNI I) Héctor G. Ceballos C. Juan C. Lavariega J. Other collaborators Víctor M. Treviño (SNI II, EMCS). José G. Tamez P. (SNI I, EMCS). Juan A. Nolazco F. (SNI I, EIC-Regional). 4 / 23

8 Research Area: Nature-inspired Systems This subgroup is dedicated to conduct research and develop algorithms based on computational intelligence which in combination with other techniques aims to solve problems in various domains such as Computing, Engineering, Health and Business. Topics: Members 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. Dr. Hugo Terashima Marín, Campus MTY, SNI I Dr. Santiago E. Conant Pablos, Campus MTY, SNI I Dr. Diego A. Oliva N. Campus GDA, SNI I Dr. José Carlos Ortiz Bayliss, Campus MTY Dr. Manuel Valenzuela Rendón Campus MTY 5 / 23

9 Research Area: Nature-inspired Systems Dr. Hugo Terashima Marín PhD in Informatics, ITESM, SNI I, Regular Member of the Mexican Academy of Sciences and the Mexican Academy of Computing. Interests: Heuristic metaheuristics and hyper-heuristics for intelligent searching, constraint satisfaction, pattern recognition for problem instance characterization, combinatorial optimization and AI applications. Dr. Santiago Enrique Conant Pablos PhD in Artificial Intelligence, ITESM, SNI I. Interests: Heuristics and machine learning, localization and tracking, visual and pattern recognition in imaging, multi-agent systems for Robotics. 6 / 23

10 Research Area: Nature-inspired Systems Dr. José Carlos Ortiz Bayliss PhD in Information Technologies and Communications, ITESM, Posdoctorate, U. de Nottingham, 2014, Tecnolgico de Monterrey, SNI Candidate. Interests: Soft computing for developing algorithms for solving combinatorial problems, pattern recognition for problem instance characterization and their solution search by heuristics, metaheuristic and hyper-heuristic methods, constraint satisfaction problems. Dr. Manuel Valenzuela Rendón PhD in Electrical Engineeering, U. of Alabama, Posdoctorate in Finance, U. of Tulane, Interests: Nature-inspired algorithms and applications to engineering problems in design and optimization, optimization and forecasting in logistics, automatic control and computational finance. 7 / 23

11 Research Area: Context Intelligence This Area focuses in multi-agent systems, data mining, semantic technologies for data integration, and has an important impact in ambient intelligence, software development, business intelligence, integration of hardware and software, and applications in several domains. Topics: Members Ambient Intelligence. Semantic Technologies Data integration and information quality. Data Mining, Competitive Intelligence Dr. Francisco J. Cantú Ortiz, Camput MTY, SNI II. Dr. Ramón F. Brena Pinero, Campus MTY, SNI I. Dr. Héctor G. Ceballos Cancino, Campus MTY. Dr. Juan Carlos Lavariega Jarquín, Campus MTY. 8 / 23

12 Research Area: Context Intelligence Dr. Francisco J. Cantú O. Dr. Ramón F. Brena Pinero PhD in Artificial Intelligence, U. of Edinburgh, UK, SNI II, Regular Member of the Mexican Academy of Sciences and the Mexican Academy of Computing. Interests: Business Intelligence, Artificial Intelligence PhD in Informatics (Artificial Intelligence), INPG, France, SNI, Regular Member of the Mexican Academy of Sciences and the Mexican Academy of Computing. Interests: Ambient Intelligence, Multi-agent Systems, Artificial Intelligence 9 / 23

13 Research Area: Context Intelligence Dr. Héctor G. Ceballos Cancino PhD in Information Technologies and Communications, ITESM, Interests: Semantic Technologies, Multi-agent systems, Bayesian Networks and causality, Smart Cities. Dr. Juan Carlos Lavariega Jarquín PhD in Computer Science, Arizona State University, Interests: Information integration, analysis and modeling of structured and non-structured data, data quality, software architectures, telemedicine, digital libraries. 10 / 23

14 Other Collaborators Dr. Víctor Manuel Treviño Alvarado (School of Medicine) PhD in Computer Science, U. of Birmingham, SNI II. Interests: Optimization methodologies for variable selection in pattern recognition within the context of large data bases, bioinformatics. Dr. José Gerardo Tamez Peña (School of Medicine) SNI I. Interests: Quantitative analysis of medical images, with special interest in Computer Aided detection and diagnosis. Dr. Juan Arturo Nolazco Flores (Regional Dean of School of Engineering and Sciences, Puebla) PhD in Voice Automatic Recognition, U. of Cambridge, SNI I. Interests: Pattern recognition, voice and speech recognition. 11 / 23

15 RGIS - Distinguished Professor Dr. Carlos Artemio Coello Coello SNI III, IEEE Fellow, Mexican Academy of Sciences, Mexican Academy of Computing. Interests: Multi-objective optimization using metaheuristics, bio-inspired metaheuristics for optimization (e.g., evolutionary algorithms, artificial immune systems, particle swarm optimization, etc.). 425 publications cited in Scopus citations in Scopus. h-index: 53. Editor of important indexed journals. Member of CONACyT Commisions. Award: Premio Nacional de Ciencias y Artes Award: Scopus-Mexico / 23

16 RGIS - Posdoctoral Fellows Dr. Alejandro Rosales P. Dr. Iván M. Amaya C. PhD in Computer Science (INAOE 2016). 12 publications in JCR. SNI I. PhD in Engineering (U. Industrial Bucaramanga, Colombia, 2015). 10 publications in JCR. SNI I. Dr. Andrés Eduardo Gutiérrez R. PhD in Computer Science (INAOE, 2015). 5 publications in JCR. SNI C. Dra. Bárbara Sandra Lancho Barrantes PhD in Computer Science (U. de Extremadura, 2013). 4 publications in JCR. 13 / 23

17 RGIS - Current Students PhD Students: Alan Israel Torres Nogales Alejandro Garza Cuéllar Armando Bernardo Nava Ortiz Dulce Jaqueline Magaña Lozano Gustavo Andrés López Hernández Jorge Alberto Hernández Castro Jorge Humberto Moreno Scott Manuel de Jesús Rodríguez Mancha Nelson Iván González Magaña Ricardo Javier Parra Álvarez Lorenza Illanes S. Guillermo Arturo Martínez M. (DCC) José Ricardo Abreu P. (DCC) Antonio A. Aguileta G. (DCC) Anthony G. Ayala B. (DCC) MSc Students: Elba Jania Moctezuma Pérez Eliot R. Rodríguez G. Gabriel González S. Homero Hernández B. Jorge L. Luján Menchaca José Leonel González Sánchez Luis F. González Rivas Luis J. Meléndez Ruiz Roberto A. González Guajardo Víctor M. Flores Solorio Marcelo Roger García Alejandro 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) César Leonardo Clemente L. (MCC-i) Roberto Sánchez P. (MCC-i) 14 / 23

18 RGIS - Current Students BSc Students: Luis F. Plata G. César Leonardo Clemente L. Juan Carlos Cantú José González Marco Peyrot Sandra Mendoza Semana i (Sep 2015): Aplicaciones Web para Sistemas de Transporte Inteligente Semana i (Sep 2016): IA para Resolver Aplicaciones de Optimizacin en la Industria Semana i (Sep 2017): Innovación mediante Inteligencia Artificial para Resolver Problemas de Optimizacin en la Industria 15 / 23

19 RGIS - Recent Projects Feature Transformation for Improving Characterization in Combinatorial Optimization Problems Convocatoria Ciencia-Básica CONACyT 2017, Principal Researcher: Dr. Iván Mauricio Amaya C. Advancing Hyper-heuristic Research for Solving Optimization Problems Convocatoria Ciencia-Básica CONACyT 2014, Principal Researcher: Dr. Hugo Terashima Marín. Generality on Hyper-heuristics for Multiple Optimization Domains Sabbatical research stay supported by TEC-CONACyT, August, 2013 June, Principal Investigator: Dr. Hugo Terashima Marín. Exploring and Understanding Heuristic Interactions on the Performance of Hyper-heuristic Models Postdoctoral research stay supported by TEC, June, 2014 May, Principal Investigator: Dr. José Carlos Ortiz Bayliss, Supervised by: Dr. Hugo Terashima Marín. DECIDE 2.0: Toma inteligente de decisiones basada en uso de redes sociales en gobierno electrónico a través de argumentación y recuperación de información en contexto LACCIR. Principal Investigators: Dr. Carlos Chesnevar (Argentina) and Dr. Ramón F. Brena P. 16 / 23

20 RGIS - Recent Projects Plataformas Autonómicas con razonamiento semántico, probabiĺıstico y causal Proyecto Ciencia Básica CONACyT, Principal Investigator: Dr. Héctor G. Ceballos Cancino. Multivariate Image Analysis in Chronic Diseases: Alzheimer and Osteoarthritis Principal Investigator: Dr. José G. Tamez P. Exploración por redes de interacción de genes para la identificación de biomarcadores genómicos en cáncer y células madre Principal Investigator: Dr. Víctor M. Treviño A. Reconocimiento de Patrones aplicado a Verificación de Personas basado en voz Sabbatical Research Stay supported by TEC, September, 2014 August,2015. Responsibles: Dr. Juan Carlos Cuevas T., Dr. Manuel Valenzuela R. and Dr. Juan A. Nolazco F. REMERI: Mexican Network of Institutional Repositories CONACyT (2013). Principal Investigator: Dr. Juan C. Lavariega J. Remote Detection and Diagnosis for Breast Cancer Google Project, 2007 Principal Investigator: Dr. Hugo Terashima Marn. 17 / 23

21 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. Andrés Bello (Chile), IT León, UABC, UTexas (San Antonio). 18 / 23

22 RGIS - Recent Publications (JCR) Rosales-Pérez, A., Garcia, S., Gonzalez, J. A., Coello Coello, C. A., Herrera, F., An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles, IEEE Transactions on Evolutionary Computation, Volume 21, Number 6, December 2017, Pages Brena, R. F., Garcia-Ceja, E., A crowdsourcing approach for personalization in human activities recognition(, Intelligent Data Analysis, Volume 21, Issue 3, 2017, Pages Aguilar-Gonzalez, A., Nolazco-Flores, J.A., Vargas-Rosales, C., Bustos, R., Characterisation, design and simulation of an efficient peer-to-peer content distribution system for enterprise networks, Peer-to-Peer Networking and Applications, Volume 10, Issue 1, 1 January 2017, Pages Osuna-Enciso, V., Cuevas, E., Oliva, D., Ziga, V., Prez-Cisneros, M., Zaldvar, D., A multiobjective approach to homography estimation, Computational Intelligence and Neuroscience, Volume 2016, 2016, Article number Open Access Ortiz-Bayliss, J.C., Terashima-Marin, H., Conant-Pablos, S.E., Combine and conquer: an evolutionary hyper-heuristic approach for solving constraint satisfaction problems, Artificial Intelligence Review, Volume 46, Issue 3, 1 October 2016, Pages Sosa-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, 19 / 23

23 RGIS - Recent Publications (JCR) Garcia-Ceja, E., Brena, R.F., Activity recognition using community data to complement small amounts of labeled instances, Sensors (Switzerland), Volume 16, Issue 6, 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 in Mexico, International Journal of Healthcare Information Systems and Informatics, Volume 11, Issue 3, July-September 2016, Pages Aguilar-Rivera, R., Valenzuela-Rendón, M., Rodrguez-Ortiz, J.J. Genetic algorithms and Darwinian approaches in financial applications: A survey, Expert Systems with Applications, Volume 42, Issue 21, 26 June 2015, Pages López-Camacho, E., Terashima-Marin, H., Ross, P., Ochoa, G., A unified hyperheuristic framework for solving bin packing problems, Expert Systems with Applications, Volume 41, Issue 15, 1 November 2014, Pages / 23

24 PhD and Master in Computer Science National school of Engineering and Sciences PhD DCI PhD DBT PhD DCC PhD DNT Bio-inspired algorithms Machine Learning Data Science and Applied Mathematics MCC 21 / 23

25 Participation in 48 CIDTEC - 25 of january, 2018 Agenda: 09:00-09:15 Introducción al Grupo de Enfoque en Sistemas Inteligentes Expositor: Dr. Hugo Terashima Marín 09:15-09:27 Creando una hiperheurística para el ruteo de vehículos Expositores: Dr. Santiago E. Conant P, Dr. Andrés E. Gutiérrez R. 09:27-09:39 Contexto en la Inteligencia Ambiental Expositores: Dr. Ramón F. Brena P., Dr. Héctor G. Ceballos C. 09:39-09:51 Derrotando a una hiperheurística Expositores: Dr. José Carlos Ortiz Bayliss, Dr. Iván M. Amaya C., Dr. Alejandro Rosales P. 09:51-09:55 Conclusiones y cierre 22 / 23

26 Thank you! Any questions? 23 / 23