Research Projects

  1. "CRISP Type 2: Interdependent Electric and Cloud Services for Sustainable, Reliable, and Open Smart Grids." National Science Foundation (NSF), 2015-2018. $1,500,000

  2. “An Infrastructure for Wide-Area Large Scale Automated Information Processing” National Science Foundation (NSF), 2004-2009. $1,499,012

  3. “Digital Publishing Research Program” Hewlett-Packard 2004-2005, $450,000

  4. ” Enhancing High Performance Computing Research and Education at UPRM” Hewlett-Packard 2003-2004, $151,872

  5. “U.S.-Chile Workshop and Panning Visit: Towards Collaborative Research Activities between the University of Puerto Rico and the University of Chile” National Science Foundation (NSF), 2006-2007; $20,000.00

  6. “Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyper-spectral Remote Sensing o Shallow Coral Ecosystems” NASA PRSGC/IDEAS-ER, $29,940. 2005-2006


  1. D. Rosa de Jesus, J. Cuevas, W. Rivera and S. Crivelli (2018). Capsule Networks for Protein Structure Classification. IEEE/ACM Supercomputing 2018.

  2. D. Rosa de Jesus and W. Rivera (2018). Application of Evolutionary Algorithms for Load Forecasting in Smart Grids. 14th International Conference on Foundations of Computer Science, Las Vegas, USA

  3. W. Rivera and F. Andrade (2018). A Security Framework for Smart Grids. 17th International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government, Las Vegas, USA

  4. D. Rosa de Jesus and W. Rivera (2018). Multi-Objective Optimization in Smart Grids. IEEE Clemson University Power Systems Conference.

  5. D. Rosa de Jesus and W. Rivera (2018). A Multiagent Simulation Approach to Transactive Energy Market Strategies. IEEE Clemson University Power Systems Conference.

  6. L. Morell, R. Buxeda, U. Cikierman, W. Rivera, E. Vendrell, and H. Sjursen (2018). A Developmental Framework for Teaching Expertise for Engineering and Related Disciplines. WEEF-GEDC 2018, Albuquerque, NM, November 12-16, 2018

  7. W. Rivera (Ed.) Sustainable Cloud and Energy Services: Principles and Practice. Springer Publishing, September 2017.

  8. A. Sanchez and W. Rivera. Big Data Analysis and Visualization in Smart Grids. IEEE Big Data Congress. 2017.

  9. W. Rivera and M. Rodriguez-Martinez. Towards Cloud Services in Smart Power Grids. IEEE PES Innovative Smart Grid Technologies Conference. 2016.

  10. M. Rodriguez­Martinez, E. O'Neil­Carrillo, M. Perez, F. Andrade, W. Rivera, A. Irizarry­Rivera, R. Ridriguez, C. Ortiz, and E. Lugo, A Case for Open Access Smart Grids (OASIS), IEEE SusTech 2016.

  11. W. Rivera. How to introduce parallelism into Programming Languages Courses. NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-13)

  12. J. Sanabria, W. Rivera, D. Rodriguez, Yuji Yunes, Gail Ross, and Cesar Sandoval. A Sensor Grid Framework for Acoustic Surveillance Applications. Proceedings of the International Conference on Networked Computers (INC09), pp. 31-38.

  13. Z. Wang, Y. Chen, D. Gmach, S. Singhal, B. J. Watson, W. Rivera, X. Zhu, and C. D. Hyser, AppRAISE: Application level performance in virtualized server environments. IEEE Transactions on Network and Service Management, 6(4): 240-254, 2009.

  14. J. Sanabria, W. Rivera, and D. Rodriguez. A High Throughput Cloud Computing Framework. Proceedings of the International Conference on Grid Computing and Applications (GCA09), pp.195-199.

  15. D. Arias, J. Sanabria, and W. Rivera. A Grid based weather data radar retrieval and processing framework. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2007.

  16. Y. Qian. K. Lu, D. Rodriguez, W. Rivera, M. Rodriguez, A Cross-layer Design Framework for Wireless Sensor Networks with Environmental Monitoring Applications. Journal of Communication Software and Systems, 2007.

  17. D. Arias, J. Sanabria and W. Rivera. Grid Based Pervasive Distributed Storage. IEEE International Symposium on Wireless Pervasive Computing (ISWPC), 2007.

  18. M. Velez-Reyes, W. Rivera-Gallego, and L. O. Jimenez-Rodriguez, A solutionware for hyperspectral imaging and analysis. Chapter Book in High Performance Computing in Remote Sensing. Editor(s) - Antonio J Plaza, Chein-I Chang, Chapman and Hall/CR, 2007.

  19. D. Arias, M. Mendoza, F. Cintron, K. Cruz, and W. Rivera. Grid Portal Development for Sensing Data Retrieval and Processing. IEEE/ACM Second International Workshop on Grid Computing Environments (GCE06), Supercomputing 2006.

  20. T. Kielmann and W. Rivera Editorial: Special Issue on Adaptive Grid Middleware. Concurrency & Computation: Practice & Experience, Vol. 18, No. 13, 2006.

  21. D. Arias and W. Rivera. Using Grid Computing to Enable Distributed Radar Data Retrieval and Processing. IEEE International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2006.

  22. C. Gerardino, Y. Rivera, J. Goodman, and W. Rivera. Parallel Implementation of an Inversion Model for Hyperspectral Remote Sensing. 49th IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2006.

  23. W. Lozano and W. Rivera. An Adaptive Quality of Service Based Scheduling Algorithm for Wide Area Large Scale Problems. IEEE International Conference on Network Computing and Applications, 2006.

  24. G. Chaparro, N.G. Santiago, W. Rivera, and J.F. Vega. Petri net workflow modeling for digital publishing measuring quantitative attributes. IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC'06), 2006.

  25. K. Cruz, J. Sanabria, F. Cintron, and W. Rivera. The PDCLab Grid Testbed at UPRM. Fourth LACCEI International Latin American and Caribbean Conference for Engineering and Technology (LACCET'2006), 2006.

  26. C. Carvajal-Jimenez, W. Lugo-Beauchamp, K. Cruz, and W. Rivera. Grid-HSI: Using Grid Computing to Enable Hyperspectral Imaging Analysis. Proc. Third IASTED International Conference on Communications, Internet, and Information Technology, p. 583-588, 2004.

  27. W. Rivera, C. Carvajal, and W. Lugo, A Service Oriented Architecture Grid Based Environment for Hyperspectral Imaging Analysis. International Journal of Information Technology, Vol. 11 No. 4, p. 104-111, 2005.

  28. W. Lugo-Beauchamp, C. Carvajal-Jimenez and W. Rivera. Performance of Hyperspectral Imaging Algorithms on IA-64. Proc. IASTED International Conference on Circuits, Signals, and Systems, p. 327-332, 2004.

  29. F. Perez and W.Rivera. An object-oriented framework for computational fluid dynamic simulations. Proc. International Conference on Parallel and Distributed Processing Technology and Applications, 2003.

  30. W. Rivera, Stability analysis of numerical boundary conditions in domain decomposition algorithms. Journal of Applied Mathematics and Computation, 137: 375-385, 2003.

  31. W. Rivera, J. Zhu, and D. Huddleston, An efficient parallel algorithm with application to computational fluid dynamics. Journal of Computers & Mathematics with Applications, 45: 165-188, 2003.

  32. W. Rivera. CompuGe: A computational geometry learning environment.? Proc. IASTED International Conference on Computers and Advanced Technology in Education (CATE2003).

  33. W. Rivera, J. Zhu, and D. Huddleston. An efficient parallel algorithm for solving unsteady nonlinear equations. Proc. International Conference on Parallel Processing, IEEE Computer Society, 2001, pp. 79-84.

  34. W. Rivera, J. Zhu, and D. Huddleston, An efficient parallel algorithm for solving unsteady equations. Parallel Computational Fluid Dynamics: Practice and Theory, P. Wilders, A. Ecer, J. Periaux, N. Satofuka, and P. Fox Eds. 293 - 300, Elsevier Science, Amsterdam, 2002.

  35. W. Rivera, J. Zhu, and D. Huddleston. Parallel performance investigation of a domain decomposition algorithm. Proc. Tenth SIAM Conference on Parallel Processing for Scientific Computing, ?SIAM Portsmouth, Virginia, 2001.

  36. W. Rivera, Scalable parallel genetic algorithms. Artificial Intelligence Review, 16(2): 153-168, 2001.