Rafael P. Saldaña, Ph.D.
Editor-in-Chief
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
PHILIPPINES
Tel./Fax: +63 2 4266125 or +63 2 7090907
Mobile: +63 928 5043121
E-mails: rsaldana@ateneo.edu, raffysaldana@gmail.com
Web Page: http://raffysaldana.page.tl
BLOG: http://raffysaldana.blogspot.com
- 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 ( http://www.onco-media.com )
Project Leader for Ateneo de Manila University -- EUAsia Grid Project ( http://www.euasiagrid.org ) - 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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