Conferencias Magistrales


 Resumen del ISUM




Dr. Moisés Torres Martínez

Coordinator of the design of systems and technologies unit under the General Coordination of Information Technologies (CGTI) at the University of Guadalajara.


Title: "The State, Challenges, and Future Directions of Supercomputing in México" (Abstract)

Dr. Moisés Torres Martinez is coordinator of the design of systems and technologies unit under the General Coordination of Information Technologies (CGTI) at the University of Guadalajara.  He is responsible for managing and integrating the uses of supercomputing in science and technology research at the University and teaches at the University of Guadalajara Virtual (UDGVirtual) campus.   Prior to joining the University of Guadalajara, he served for 17 years in several positions (including executive positions) at the University of California (Office of the President, Irvine, and Santa Cruz Campus).  He was also adjunct professor at the Santa Cruz and Irvine campuses in the Department of Education, and Department of Information and Computer Science respectively.  Dr. Torres Martinez is known for his leadership in establishing science, mathematics and technology programs for the most marginalized populations in the U.S. and founder of virtual high schools in California.  He served as co-chair of the Technology in Learning Commission in California under Governor Gray Davis administration, and in several state technology committees. His international experience includes consulting projects related to technology in education initiatives in Mexico, Ecuador, El Salvador, Dominican Republic and South Africa.  He received his Bachelors of Science in Information and Computer Science from the University of California Irvine, and his Ph.D. in Educational Administration from the University of California Los Angeles and Irvine (joint program).  He is recipient of many awards including the “Lauds and Laurels Alumnus Award” from the University of California, Irvine given to its most successful alumni. He is also author of several publications and member of many science, engineering, technology and education societies.



Dr. Klaus Ecker

 Russ College of Engineering and Technology Electrical Engineering and Computer Science Athens OH, USA.


Title: Why do we need high performance computation? (Abstract)


Klaus Ecker received his Ph. D. in Theoretical Physics from the University of Graz, Austria, and his Dr. habil. in Computer Science from the University of Bonn. Since 1978 he is a full professor in the Department of Computer Science at the Technical University of Clausthal, Germany, from 2005 to 2009 visiting professor at the Ohio University. His research cooperation at the Ohio University is continuing with the development of data-mining algorithms particularly for the analysis of regulatory mechanisms for genes. Other areas of interest is the parallel processing and scheduling theory with applications in operating systems, production planning, real time systems, and distributed databases. Prof. Ecker published widely in the above mentioned areas in well reputed journals and proceedings of international conferences as well. He is also the author of several monographs on scheduling theory. Since 1981 he is organizing annually international workshops on parallel processing. He is associate editor of Real Time Systems, and member of the German Gesellschaft für Informatik (GI).


Nicholas P. Cardo, MS.

Lawrence Berkeley National Laboratoty, Berkeley, CA USA


Title: "Managing Production Scientific Computing Resources" (Abstract)

Nicholas Cardo holds a Bachelor of Science degree in Computer Science and and Master of Science degree in Computer Engineering.  Over 20 years of supercomputing experience has been gained while working at the John von Neumann National Supercomputer Center, NASA Ames Research Center and the National Energy Research Scientific Computing Center at the United States Department of Energy’s Lawrence Berkeley National Laboratory.  He is currently the system lead for a 9,692 node Cray XT4 system with 38,568 cores and over 4,000 users.



Dr. Behrooz Parhami

Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA 



Title: "Robustness Attributes of Interconnection Networks for Parallel Processing" (Abstract)


Behrooz Parhami (PhD, University of California, Los Angeles, 1973) is Professor of Electrical and Computer Engineering, and Associate Dean for Academic Affairs, College of Engineering, at University of California, Santa Barbara, where he teaches and does research in computer arithmetic, parallel processing, and dependable computing. A Fellow of IEEE and British Computer Society and recipient of several other awards, he has written six textbooks and more than 260 peer-reviewed technical papers. Professionally, he serves on journal editorial boards and conference program committees and is also active in technical consulting.




Dr. Glenn Bresnahan

Director Scientific Computing and Visualization at Boston University, USA


Title: "Scientific Visualization: Issues, Challenges, Successes and Failures" (Abstract)


Director of the Scientific Computing and Visualization Group at Boston University where he has also served as the Director of Distributed Systems and the Director of Computer Graphics. He has designed and taught both graduate and undergraduate courses in mathematics, computer science, engineering and graphic design in BU’s Metropolitan College, College of Arts and Sciences, College of Engineering and College of Fine Arts. Bresnahan is one of the key designers and developers of the Deep Vision Display Wall, a large format, tiled, stereographic computer display, and the DAFFIE system, a network-centric software package for creating distributed, virtual environments. He has also played has played a central role in a number of distributed and grid-based research and development efforts including Earlab, a distributed computing system for mammalian auditory system modeling and simulation; the AMIE distributed account management system; and the Virtual Machine Room (VMR) project for the National Computation Science Alliance. His current research interests include grid and distributed computing, virtual environments, high performance computing and networking, scientific visualization, and the use of technology in art and education.

Dr.  Pablo Emilio Guillen Rondón

Coordinador de Postgrado: Maestría en Modelado y Simulación de Sistemas de la Univesidad de los Andes, Venezuela


Title: "Research on Implementation of efficient computing tools based on opensource software: applied in Petroleum and Health" (Abstract)


Prof. Agregado, Investigador del Centro de Simulación y Modelos, CESIMO, Universidad de Los Andes; Licenciado en Matemática (Universidad de Los Andes, Mérida-Venezuela, 1992); Magister Scientiarum en Matemática Aplicada a la Ingeniería (Universidad de Los Andes, Mérida-Venezuela, 1997); DEA en Ingeniería Biomédica (Universidad Politécnica de Cataluña, Barcelona-España, 2000); Doctor en Ingeniería (Universidad Politécnica de Cataluña, Barcelona-España, 2002); Asesor de PDVSA. Publicaciones: 60 artículos en Revistas y Congresos Nacionales e Internacionales; SPI Nivel I (2002). Areas de interés: Modelado y Simulación Continua, Simulación de Reservorios, Procesamiento y análisis de Señales Fisiológicas, Dinámica no lineal, Matemática Computacional, Métodos Numéricos, Computación Paralela.




Dr. Amit Majumdar

Group Leader of the Scientific Computing Applications at San Diego Supercomputer Center, USA.



Title: "Teraflop to Petaflop – Computational Science" (Abstract)

Dr. Majumdar is a senior computational scientist and group leader of the Scientific Computing Applications group at the San Diego Supercomputer Center. He also holds a non-salaried Associate Professor position at the Department of Radiation Oncology at the University of California San Diego. He received his Ph.D in the interdisciplinary program of nuclear engineering and scientific computing from University of Michigan, M.S. in mathematics from University of Michigan, M.S. in nuclear engineering from Idaho State University and B.S. in electrical engineering from Jadavpur University, Calcutta, India.

His research interests and background are in high performance computing (HPC) and computational science. He has developed and implemented parallel algorithms on shared, distributed and distributed-shared memory parallel machines. In recent years he has been actively involved in application of HPC to medical research. These medical research fields include nuclear medicine, image guided neurosurgery, gynecology and most recently radiation treatment planning.

In the field of HPC, he has analyzed the architecture of HPC machines such that the optimal performance is achievable when a multicore processor is used and more recently when GPUs are used. He is currently looking into performance enhancement achievable when the two-sided communication model is replaced with one-sided communication model. As a part of another project, he is analyzing the communication patterns of applications, used on supercomputers.

Dr. Andrei Tchernykh

Researcher in the Computer Science Department, CICESE Research Center (Centro de Investigación Científica y de Educación Superior de Ensenada), Ensenada, Baja California, México


Title: "Large Scale Supercomputing: Resource Management in Computational Grids" (Abstract)


Andrei Tchernykh is a researcher in the Computer Science Department, CICESE Research Center (Centro de Investigación Científica y de Educación Superior de Ensenada), Ensenada, Baja California, Mexico and teach in CICESE's postgraduate programs in computer science, a position he has held since 1995.
 He graduated from the Sevastopol Technical University (with honor) in 1975. From 1975 to 1990 he was with the Institute of Precise Mechanics and Computer Technology of the Russian Academy of Sciences (Moscow, Russia), and took part in the Russian leading parallel supercomputer ELBRUS project development and implementation. He received his Ph.D. degree in Computer Science from the Institute of Precise Mechanics and Computer Technology of the Russian Academy of Sciences in 1986.
 He led number of CONACyT, NSF-Conacyt, LAFMI, US MEXUS,DAAD and CICESE research projects. In CICESE, he is a coordinator of the Parallel Computing Laboratory. Dr. Tchernykh has been a member of the Program Committee for several professional conferences and served as general co-chair for International Conferences on Parallel Computing Systems. He published in well reputed journals and proceedings of international conferences.
 His main interests include parallel computing, incomplete information processing, on-line scheduling, multi-objective optimization, and resource management in GRID computing.


Dr. Vassil Alexandrov

 Professor in Computational Science at the University of Reading, UK


Title: "Scalable Algorithms for Advanced Architectures" (Abstract)


Vassil Alexandrov is a Professor in Computational Science at the University of Reading, UK since 2002. He holds an MSc degree in Applied Mathematics from Moscow State University since 1984 and PhD degree in parallel computing from Bulgarian Academy of Sciences since 1995. He is the Director of the Centre for Advanced Computing and Emerging Technologies, and Head of Research of PEDAL (Parallel Emergent and Distributed Algorithms Laboratory), School of Systems Engineering, University of Reading, UK. He is also a Deputy Head of Research of the School of Systems Engineering at the University of Reading.
He is a member of IMACS Technical Committee on Monte Carlo methods, founder of International Conference on Computational Science with Prof. Jack Dongarra in 2001, member of various Programme Committees.
His research interests are in the area of Computational Science, Cluster, Collaborative and Grid Computing, e-learning,  parallel and distributed algorithms and methods for solving large scale problems.
In the past 10 years he is involved actively in research and has coordinated or has been a WP leader of over 10 national and international research and development projects: GENIUS (EC), e-minerals (NERC), IBM SUR grant on scalable Monte Carlo Algorithms, NATO – on Sensitivity Analysis in Air Pollution Modelling, g-Eclipse (FP6), etc. He has published over 100 papers in renowned journals and proceedings of international conferences.


Dr. Ramin Yahyapour

Full professor at the TU Dortmund University.


Title: "HPC and Cloud Computing" (Abstract)


Ramin Yahyapour is full professor at the TU Dortmund University since April 2009 with a chair on applied computer science and information technologies. In addition, he is Director of the IT and Media Center, the central IT service provider of the University, regional compute center and German D-Grid site.

Dr. Yahyapour holds a doctorial degree in Electrical Engineering and his research interest lies in the area of parallel job scheduling, resource management in its application to grid computing and service oriented architectures. He is especially interested in large-scale computing infrastructures and the application in high-performance computing. He gives lectures on parallel processing systems, service computing, distributed systems, Grid technologies and eBusiness.

He is scientific coordinator of the European project “SLA@SOI”. He also coordinates a project in the German D-Grid initiative. Moreover, he is steering group member of the Open Grid Forum fostering the standardization and adoption of Grid technology. Ramin Yahyapour serves regularly as organizer or program committee member of multiple conferences and workshops as well as reviewer for journals and workshops.