RENATO FIGUEIREDO
Associate Professor

 

Education:

PhD, CEN, Purdue University, 2001
MS, EE, University of Campinas, 1995
BSEE, University of Campinas, 1994

Contact Information:

Email: renato@acis.ufl.edu
Phone: 352-392-6430
Office: 336 Larsen Hall
Homepage: www.acis.ufl.edu/~renato

Program Affiliation:

Area:  Computer Engineering
Lab:   Advanced Computer and Information Systems

Fields of Interest:

• Computer architecture
• Network computing
• Distributed systems

Employment:

2008 - Associate Professor, Electrical & Computer Engineering, University of Florida
2002 - Assistant Professor, Electrical & Computer Engineering, University of Florida
2001 - Assistant Professor, Electrical & Computer Engineering, Purdue University

Refereed Journals in the Last 3 Years:

2007
A. Ganguly, A. Agrawal, P. Boykin and R. Figueiredo, “WOW: Self-Organizing Wide Area Overlay Networks of Virtual Workstations”, Journal of Grid Computing, DOI 10.1007/s10723-007-9076-6.

R. Figueiredo, V. Backman, Y. Liu and J. Paladugula, “Architecture and Performance of a Grid-enabled Lookup-based Biomedical Optimization Application: Light Scattering Spectroscopy”, IEEE Transactions on Information Technology in Biomedicine, 11(2), March 2007, pp. 170-178.

2006
A. Matsunaga, M. Tsugawa, S. Adabala, R. Figueiredo, H. Lam and J. Fortes, "Science Gateways Made Easy: the In-VIGO Approach", Concurrency and Computation: Practice and Experience, 19(6), October, 2006, pp. 905-919.

C. Jeffery, R. Figueiredo, “Hierarchical Fault Tolerance for Nanoscale Memories”, IEEE Transactions on Nanotechnology, 5(4), July 2006, pp 407-414.

M. Zhao, J. Zhang and R. Figueiredo, “Distributed File System Virtualization Techniques Supporting On-Demand Virtual Machine Environments for Grid Computing”,Cluster Computing Journal, 9(1), January 2006, pp. 45-56.

Contracts and Grants:

• National Science Foundation, “CRI:CRD Archer - Seeding a Community-based Computing Infrastructure for Computer Architecture Research and Education”
• IBM Faculty Award, “Machine Learning and Predictive Models in Support of Autonomic Computing in Virtualized Data Centers”
• A Regional Storm Surge and Inundation Model Testbed for SECOORA”.
• National Science Foundation, “Center for Autonomic Computing”
• National Science Foundation, “SDCI NMI New: Middleware for Missing Links in Virtualized Grids”