Elina Pacini Curriculum Vitae

Transcripción

1 Elina Pacini Curriculum Vitae ITIC-UNCuyo Padre Jorge Contreras 1300 C.P. (5500), Mendoza, Argentina +54(0261) Personal Information Place and Date of Birth: Mendoza, June 20th, 1979 Nationality: Mendoza, Argentina Marital Status: Married Work Place: ITIC, UNCuyo University Telephone: +54 (0261) Education Post-graduate Degree Graduate Degree Ph.D. in Computer Science, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN) - Tandil. February Systems Engineer, Universidad Tecnológica Nacional Facultad Regional Mendoza (UTN-FRM). April Fellowship Grants PhD felloship, grant awarded by the National Scientific and Technological Research Council (CONICET), since April PhD felloship, grant awarded by the UNCuyo and the National Agency of Scientific and Technological Promotion (ANPCYT) through PRH project since April World Wide Style (WWS) program fellow, grant awarded by the CRT (Cassa di Risparmio di Torino) fundation. Topic: Development of methods and techniques for validating reliability of critical software systems. Work Place: University of Turin, Italy. Advisor: Dra. Simona Bernardi. Teaching Experience Teacher Assistant of Distributed Operating System, Fac. Cs. Exactas y Naturales (FCEN), UNCuyo University, Mendoza, Argentina, since April /6

2 Publications Articles in Journals/LNCS E. Pacini, C. Mateos and C. García Garino. Multi-objective Swarm Intelligence Schedulers for Online Scientific Clouds. Special Issue on Cloud Computing. Computing, pp. 1 28, Springer [Thomson ISI, IF JCR2012=0.807] E. Pacini, C. Mateos and C. García Garino: Distributed Job Scheduling based on Swarm Intelligence: A Survey. 40th-year commemorative issue on Computers & Electrical Engineering. Vol. 40 (1), pages Elsevier ISSN [Thomson ISI, IF JCR2012=0.928] E. Pacini, C. Mateos and C. García Garino: Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments. Latin-american Center for Informatics Studies (CLEI). Vol. 17 (1), [Latindex] C. García Garino, E. Pacini, D. Monge, C. Careglio and A. Mirasso: Computational Mechanics Software as a Service Project. Journal of Computer Science and Technology. Vol. 13 (3), [Latindex] C. Mateos, E. Pacini and C. García Garino. An ACO-inspired Algorithm for Minimizing Weighted Flowtime in Cloud-based Parameter Sweep Experiments. Advances in Engineering Software, vol. 56, pages Elsevier ISSN [Thomson ISI, IF JCR2012=1.22] E. Pacini, C. Mateos and C. García Garino. Balancing Throughput and Response Time in Online Scientific Clouds via Ant Colony Optimization. Advances in Engineering Software. Elsevier, Under Review. [Thomson ISI, IF JCR2012=1.22] E. Pacini, M. Ribero, C. Mateos, A. Mirasso and C. García Garino. Simulation on Cloud Computing Infrastructures of Parametric Studies of Nonlinear Solids Problems. Lecture Notes in Computer Science (Advances in New Technologies, Interactive Interfaces and Communicability - ADNTIIC 2011), pp.56-68, F.V. Cipolla-Ficarra et al. (Eds.). Springer-Verlag ISSN C. Careglio, D. Monge, E. Pacini, C. Mateos, A. Mirasso and C. García Garino. Sensibilidad de resultados del ensayo de tracción simple frente a diferentes tamaños y tipos de imperfecciones. Mecánica Computacional (Selected papers from the II South American Congress on Computational Mechanics - MECOM 2010). Vol. XXIX, Number 41, pp AMCA ISSN [Latindex] E. Pacini Naumovich, S. Bernardi and M. Gribaudo. ITPN-PerfBound: A Performance bound tool for Interval Time Petri Nets. Lecture Notes in Computer Science (15th Int. Conference on Tools and Algorithms for the Construction and Analysis of Systems - TACAS 09), York, UK, vol.5505, pp , (2009). Springer-Verlag. ISBN /6

3 Book Chapters C. García Garino, C. Mateos and E. Pacini. ACO-based dynamic job scheduling of parametric computational mechanics studies on Cloud Computing infrastructures. In Cloud Computing and Big Data (Advances in Parallel Computing Series). C. Catlett et al. (Eds.), vol. 23, chapter 2, pages IOS Press ISBN E. Pacini, M. Ribero, C. Mateos, A. Mirasso and C. García Garino. Cloud computing for parameter sweep experiments. In New Horizons in Creative Open Software, Multimedia, Human Factors and Software Engineering. F.C. Ficarra et al. (Eds.), chapter 9, pages Blue Herons, Bergamo, Italia, April ISBN E. Pacini, C. Mateos and C. García Garino. Schedulers based on Ant Colony Optimization for Parameter Sweep Experiments in Distributed Environments. Handbook of Research on Computational Intelligence for Engineering, Science and Business. S. Bhattacharyya and P. Dutta (Eds.), chapter 16, pages IGI Global ISBN Articles in Conference Proceeding E. Pacini, C. Mateos and C. García Garino. SI-based Scheduling of Parameter Sweep Experiments on Federated Clouds. First HPCLATAM - CLCAR Joint Conference Latin American High Performance Computing Conference (CARLA). Valparaíso, Chile, (2014). In Press E. Pacini, C. Mateos and C. García Garino. Dynamic Scheduling of Scientific Experiments on Clouds via Ant Colony Optimization. The Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering (PARENG), B. H. V. Topping and P. Iványi (Eds.), P. Pécs, Hungary, Paper 33, pp. 1-21, (2013). Civil-Comp Press. ISSN E. Pacini, C. Mateos and C. García Garino. Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments. In Latin American Symposium on High Performance Computing (HP- CLatAm), C. Garcia Garino and M. Printista (Eds.) Mendoza, Argentina, pp (2013). E. Pacini, C. Mateos and C. García Garino. SI-based Scheduling of Scientific Experiments on Clouds. The 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). Berlín, Alemania, pp , (2013). IEEE Computer Society. ISBN [Thomson ISI (proceedings)] E. Pacini, C. Mateos and C. García Garino. Planificadores basados en inteligencia colectiva para experimentos de simulación numérica en entornos distribuidos. In: Sexta Edición del Encuentro de Investigadores y Docentes de Ingeniería ENIDI 11. Los Reyunos, San Rafael, Mendoza Argentina. (2011). ISBN: /6

4 I. Arriassecq, S. Garcia, M. Martinez, J. Marone, E. Pacini and F. Schlüter. El status epistemológico de la informática como disciplina científica y su relación con la enseñanza. Presentación Oral en 1ª Conferência Latinoamericana do International History, Philosophy, and Science Teaching Group. Maresias, Sâo Sebastiâo-SP, Brasil, de agosto de E. Pacini Naumovich and S. Bernardi. Modelado de Redes de Petri con Intervalos de Tiempo mediante la herramienta ITPN-PerfBound. In: Quinta Edición del Encuentro de Investigadores y Docentes de Ingeniería, ENIDI 2009, Los Reyunos, San Rafael, Mendoza Argentina, pp (2009). E. Pacini Naumovich and S. Bernardi. Integrating TPNs and performance bound techniques in DrawNET: new import functionality. 6th Int. Conference on Quantitative Evaluation of SysTems (QEST 09). Budapest, Hungary, pp , (2009). IEEE Computer Society. ISBN [Thomson ISI (proceedings)] Articles in Workshops C. García Garino, C. Mateos and E. Pacini: Job Scheduling of Parametric Computational Mechanics Studies on Cloud Computing Infrastructures. International Advanced Workshop in High Performance Computing, Grids and Clouds (HPC 2012), Cetraro, Italy, June 25-29, Research Reports E. Pacini. An Approach for Scheduling Scientific Experiments on Clouds based on Swarm Intelligence. PhD Thesis, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN). Tandil, Buenos Aires, Argentina, February E. Pacini. Schedulers basados en técnicas de Swarm Intelligence para Experimentos de Barridos de Parámetros en infraestructuras Cloud. Thesis Proposal, Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN). Tandil, Buenos Aires, Argentina, May E. Pacini. Schedulers basados en Swarm Intelligence para Experimentos de Barridos de Parámetros en Entornos Distribuidos. Qualification Exam, Universidad Nacional del Centro de la Provincia de Buenos Aires, Tandil, Buenos Aires (UNICEN). Tandil, Buenos Aires, Argentina, March Research Activities Researcher at the Instituto para las Tecnologías de la Información y las Comunicaciones (ITIC), UNCuyo University. Research interests: Cloud Computing, Parametric Studies from Computational Mechanics, Swarm Intelligence, Job and VM Scheduling 4/6

5 Research Projects IContributor member of PICT project, "Predicción localizada de heladas en la provincia de Mendoza mediante técnicas de aprendizaje de máquinas y redes de sensores", FONCyT-ANPCyT ( ). Responsible researcher: Dr. Carlos García Garino. Contributor member of PAE-PICT project, "Métodos y Herramientas para sistemas masivamente distribuidos", FONCyT-ANPCyT ( ). Responsible researcher: Dr. Carlos García Garino. Contributor member of 06B/194 project, "Simulación de Problemas de Mecánica de Sólidos mediante herramientas de computación distribuida", SECTyP-UNCuyo ( ). Responsible researcher: Dr. Carlos García Garino. Contributor member of 06/M036 project, "Modelos de aprendizaje de máquina combinados para la aplicación a la detección de intrusos en el tráfico de red", SECTyP-UNCuyo ( ). Responsible researcher: Dr. Carlos Catania. Contributor member of 06B/253 project, "Simulación de problemas de mecánica de sólidos en entornos de computación distribuida", SECTyP- UNCuyo Responsible researcher: Dr. Carlos García Garino. Scientific Events Organization Local Member of the VI Latin American Symposium on High Performance Computing (HPCLatAm 2013) committe, Universidad Nacional de Cuyo, Mendoza, Argentina, Julio 29-30, Local Member of the II Escuela de Computación de Alto Rendimiento (ECAR 2013), Universidad Nacional de Cuyo, Mendoza, Argentina, Julio 22-26, Specialization Courses 2010 Pro-Ideal project, Project Angels coaching course on EU R&D programme principles and EU funding mechanisms including partner profiling and project writing, with a focus on the ICT Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Tandil. Gestión del Conocimiento Computación Orientada a Servicios Epistemología y Metodología de la Ciencia Descubrimiento de Conocimiento a partir de Datos Inteligencia Artificial Introducción a la Computación Evolutiva Trabajo Colaborativo Soportado por Computadoras Diseño de Interacción Centrado en el Usuario 2008 Università degli studi di Torino (UNITO), Italia. 5/6

6 Markovian & Stochastic Models Data Structures Analysis 6/6