Monday, November 24, 2008

About the Speaker: Dr. Rafael P. Saldaña

Rafael P. Saldaña, Ph.D.

Philippine Information Technology Journal

Associate Professor
Applied Mathematics and Computational Science
School of Science and EngineeringAteneo de Manila University (AdMU)
Loyola Heights, Quezon City 1108

Tel./Fax: +63 2 4266125 or +63 2 7090907
Mobile: +63 928 5043121

Web Page:

  • Ph.D. in Mathematical and Computational Biophysics (Computational Science) from Monash University, Australia

  • Coordinator, GRID and High-Performance Computing Research Group, School of Science and Engineering, Ateneo de Manila University

  • Co-Principal Investigator, ONCO-MEDIA Project ( )
    Project Leader for Ateneo de Manila University -- EUAsia Grid Project ( )

  • Philippine Partner, Germany-Philippines Collaboration Project on PANDA Grid

  • Project Leader for Ateneo de Manila University -- Philippine e-Science Grid Project (PSI-GRID)

  • Editor-in-Chief, Philippine Information Technology Journal (PITJ)

  • Managing Editor, Philippine Computing Journal (PCJ)

  • Immediate Past President, Computing Society of the Philippines

  • Member, East Asia Society for Industrial and Applied Mathematics (EASIAM) Executive Committee

  • Convenor, International Symposium on ICT For Health

  • Convenor, International Workshop and Conference on Modeling, Simulation, and Grid Computing

  • Director, ACM ICPC Asia Proramming Contest -- Manila Site
    Director, Philippine National Inter-Collegiate Programming Competition (AMC ICPC Philippines)

  • Member, Technical Panel on ICT, PCASTRD, Department of Science and Technology (CHED)

  • Member, TPITE Technical Committee on IT Curriculum Development, Commission on Higher Education (CHED)

  • Former Director, Philippine Science High School Main Campus

  • Past President, Rotary Club of Agham (International District 3180)

Research Interests

  • cellular automata

  • scientific computing

  • cluster and grid computing

  • biomedical computing

  • mathematical and computational biophysics

  • modeling and simulation

  • computational science applications (including environment and health)


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