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Nageswara S. V. Rao
UT-Battelle Corporate Fellow
Complex Systems Group
Center for Engineering Systems Advanced Research (CESAR)
Computer Science and Mathematics Divsion
Oak Ridge National Laboratory
Nagi joined ORNL in 1993 as a staff member. He did his doctoral work at ORNL during 1985-1988 in CESAR.
He is IEEE Fellow (Computer Society).
He is awarded 2005 IEEE Computer Society Technical Achievement Award for contributions in information fusion area.
He is awarded 2014 R&D 100 Award: Diagnosis Using the Chaos of Computing Systems - DUCCS
He co-PI of UltraSceince Net project.
Contact Information:
Email: raons@ornl.gov
Phone: 865-574-7517
Fax: 865-574-0405 |
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Plant Mail/Location: Mailstop 6016, Building 5600, Rm D239 |
Postal Mail: MS 6016, Bldg 5600, Oak Ridge National Laboratory,
Oak Ridge, TN 37831-6016
Street Address: 1 Bethel Valley Rd, Bldg 5600, Rm D239, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6016 |
Employment
- 2006 - UT-Battelle Corporate Fellow, 2001 - Distinguished Staff Member, 1997- Senior Staff Member, 1993 - Staff Member, Oak Ridge National Laboratory
- 1988-1993, Assistant Professor, Department of Compter Science, Old Dominion University
Education
- PhD in Computer Science, Louisiana State University, 1988.
- ME in Computer Science and Automation, Indian Institute of Science, 1984.
- B.Tech in Electronics and Communications Engineering, Regional Engineering College, Warangal, India.
Research Areas of Interest
- High-Performance Networking
- network research testbeds - emulation and physical 10/40G
- control plane technologies for hybrid optical networks
- statistical design and analysis of network experiments
- multi-NIC and multi-core host optimizations
- transport dyanmics and protocol design
- Cyber Physical Networks
- robustness of cyber-physical infrastructures
- detection and idenitification of dispersion-diffusions
- coverage for effcient detetion
- detection and localization of low-level radiation sources
- Resilient Exascale Computing
- system profiling using chaotic computations
- application tracing and confidence estimation
- Information Fusion
- statistical estimation methods for fuser design
- projective and location-based fusers
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