School of Engineering & Applied Sciences

Luis De La Torre

Computer Science Instructor
photo of Luis De La Torre
Luis De La TorreInstructor, Computer ScienceFloyd 128509-372-7459
  • Ph.D. in Computer Science and Engineering. University of Puerto Rico, Mayagüez, PR. US.Dissertation Title: “Scheduling divisible tasks under production or utilization constraints” – Advisor: Dr. Jaime Seguel, 2006-2009
  • M.Sc. in Scientific Computing. University of Puerto Rico, Mayagüez, PR, US., 2001- 2004
  • B.S. in Pure Mathematics. Universidad de Cartagena. Cartagena, COL, 1995-2000
Research Interests


  • Scheduling Problems
  •  Stochastic Programming
  • Energy Efficient Parallel algorithms
  • Cloud Computing Problem
Awards and Fellowships
  • Visiting Faculty Program. DOE. De la Torre, L. (PI), Halappanavar, M (Co-PI), 2015-2017
  • Travel Award. Richard Tapia celebration of Diversity in Computing Conference, San Francisco, 2011
  • CA.Research Fellow-CISE Program, University of Puerto Rico, Mayaguez, PR., 2008
  • Honor Student, Universidad de Cartagena, Cartagena, Colombia., 1998
Awarded Grants

Hernández, S. (PI), Primera, O (Co-PI), De la Torre, L (Co-PI). CONFOCAL RAMAN-AFM-SNOM IMAGING SPECTROSCOPIC SYSTEM: An Initiative to Expand Materials Research in Puerto Rico. DoD DURIP 2014. Award W911NF-14-1-0414. 2015- 2016

Recent Publications
  1. Xu, Z., Li, X., Hao, N., Pan, C., De la Torre, L., Ahamed, A., Miller, J., Ragauskas A., Yuan J., Yang, B., “Kinetic understanding of nitrogen supply condition on biosynthesis of polyhydroxyalkanoate (PHA) from benzoate by Pseudomonas putida KT2440”. Submitted to Bioresource Technology. Sep 2018.
  2. Bhuiyan, T., Halappanavar, M., Friese, R. D., Medal H., De la Torre, L., Sathanur, A. V., Tallent, N. R., “Stochastic Programming Approach for Resource Selection under Demand Uncertainty”. Proc. the 22st Workshop on Job Scheduling Strategies for Parallel (JSSPP 2018), Orlando, FL, USA, 2018 Vancouver, British Columbia CANADA, 2018
  3. Friese, R. D., Halappanavar, M., Sathanur, A. V., Schram, M., Kerbyson, D. J., De la Torre, L., “Towards EfficientResource Allocation for Distributed Workflows Under Demand Uncertainties”. Proc. the 21st Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2017), Orlando, FL, USA, 2017
  4. Halappanavar, M., Schram, M., De La Torre, L., Barker, K., Tallent, N., and Kerbyson, D., “Towards efficient scheduling of data intensive high energy physics workflows”. Proc. the 10th Workshop on Workflows in Support of Large-Scale Science (WORKS ’15). ACM, New York, NY, USA, 2015.
  5. De La Torre, L., De La Torre, H., “Adaptive Divisible Load Scheduling in Computational Grids”. Proc. The International Conference on Grid Computing and Applications, 2012.
  6. De La Torre, L, Seguel, J., “A Parallel Needleman – Wunsch – Hirschberg Bio-sequence Alignment Algorithm”. In CSC, 2010.
  7.  De La Torre, L, Seguel, J., A Parallel Biosequence Motif Discoverer Based on Dynamic Programming and Adaptive Scheduling. In CSC, pages 145-150, 2009.
  8. De la Torre, L, Seguel, J., A Comparison of Two Master-worker Scheduling Methods. In HPCC, pages 597-602, 2009.
  9.  Medina-Ramos W., Chamoun-Emanuelli A., Primera-Pedrozo O., Rivera A., De La Torre, L., and Samuel P. Hernández- Rivera. Self-Assembly of Gold Nanorods at a Ciclohexane/ Water interface for 2,4,6-TNT detection. 32nd Senior Technical Meeting. Rincon, PR. November 21st, 2008.
  10. Primera-Pedrozo, O., Soto-Feliciano, Y., Pacheco-Londono, L., De La Torre, L., Hernández-Rivera S., Detection of explosive mixtures on surfaces using grazing angle probe – FTIR: model for classification., Proc. SPIE Vol. 6201, May, 2006.
  11. Pacheco-Londono, L., Primera-Pedrozo, O., De La Torre, L., Hernández-Rivera, S., Determination of TATP, DNT, and TNT in air by FTIR and PLS-discriminant analysis, Proc.SPIE Vol. 5816, pp.180-185, Mar 2005.
  12. Primera-Pedrozo, O., Pacheco-Londono, L., Ruiz, O., Ramirez, M., Soto-Feliciano, Y., De La Torre, L., Hernández- Rivera, S., Characterization of thermal inkjet technology TNT deposits by fiber optic-grazing angle probe FTIR spectroscopy. Proc. SPIE Vol. 5778, p. 543-552, March, 2005.
  13. Primera-Pedrozo, O., Pacheco-Londono, L., De La Torre, L., Hernández-Rivera, S., Lareau, R., Use of fiber optic coupled FT-IR in detection of explosives on surfaces. Proc. SPIE Vol. 5403, September, 2004.
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