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High-Performance Networking

  1. B. Settlemyer, N. S. V. Rao, S. W. Poole, S. W. Hodson, S. E. Hicks, P. Newman, Experimental analysis of 10Gbps transfers over physical and emulated dedicated connections, International Conference on Computing, Networking and Communications, 2012.
  2. N. S. V. Rao, S. E. Hicks, S. W. Poole, P. Newman, Testbed and experiments for high-performance networkng, International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2010, pp. 19-34.
  3. N. S. V. Rao, W. Yu, W. R. Wing, S. W. Poole, J. S. Vetter, Wide-area performance profiling of 10GigE and infiniband technologies, Supercomputing, 2008.
  4. N. Ghani, Q. Liu, N. S. V. Rao, A. Gumaste, Multi-domain traffic grooming, in Traffic Grooming for Optical Networks, R. Dutta, A. E. Kamal, G. N. Rouskas (Editors), Springer-Verlag, 2008.
  5. N. S. V. Rao, W. R. Wing, S. Hicks, S. Poole, F. Denap, S. M. Carter, and Q. Wu. UltraScience Net: research testbed for high-performance networking, Proceedings of International Symposium on Computer and Sensor Network Systems, April 7-10, 2008 (ISCSNS08).
  6. S. Sahni, N. S. V. Rao, Y. Li, K. Jung, S. Ranka, N. Kamath, Bandwidth scheduling and path computation algorithms for connection-oriented networks, International Conference on Networking, 2007.
  7. N. S. V. Rao, W. R. Wing, Q. Wu, N. Ghani, T. Lehman, C. P. Guok, E. Dart, Measurements on hybrid dedicated bandwidth connections, INFOCOM High Speed Networks Workshop, 2007.
  8. W. Habib, Q. Song, Z. Li, N. S. V. Rao, Deployment of GMPLS control plane for grid applications in experimental high performance networks, IEEE Communications Magazine, 2006.
  9. N. S. V. Rao, W. R. Wing, S. M. Carter, Q. Wu, UltraScience Net: Network testbed for large-scale science applications, IEEE Communications Magazine, November 2005, vol. 43, no. 11, pages, S12-17.
  10. X. Zheng, M. Veeraraghavan, N. S. V. Rao, Q. Wu, and M. Zhu. CHEETAH: Circuit-switched high speed end-to-end transport architecture testbed, IEEE Communications Magazine, vol. 43, no. 8, 2005.
  11. M. Yang, J.-F. Ru, H. Chen, A. Bashi, X. R. Li and N. S. V. Rao, Predicting Internet end-to-end delay: A statistical study, Annual Review of Communications, Vol. 58, 2005.
  12. N.S.V. Rao, W.C. Grimmell, Y.C. Bang, S. Radhakrishnan, On algorithms for quickest paths under different routing modes, IEICE Transactions on Communications, vol. E87-B, no. 4, 2004, pp. 1002-1006.
  13. N.S.V. Rao, Probabilistic quickest path algorithm, Theoretical Computer Science, vol. 312, no. 2-3, pp. 189-201, 2004.
  14. N.S.V. Rao, Overlay networks of in-situ Instruments for probabilistic guarantees on message delays in wide-area networks, IEEE Journal on Selected Areas of Communications, vol. 22, no. 1, 2004.
  15. K. Maly, S. Olariu , L. Zhang, N.S.V. Rao, Fairness in DQDB revisited: a new solution, Computer Systems: Science and Engineering, vol. 18, no. 2, pp. 63-70, 2003.
  16. N.S.V. Rao, Y.C. Bang, S. Radhakrishnan, Q. Wu, S.S. Iyengar, and H. Cho, NetLets: Measurement-based routing daemons for low end-to-end delays over networks, Computer Communications, vol. 26, no. 8, 2003, pp. 834-844.
  17. W.C. Grimmell and N.S.V. Rao, On source-based route computation for quickest paths under dynamic bandwidth constraints, International Journal of Foundations of Computer Science, vol. 14, no. 3, pp. 503-523, 2003.
  18. N.S.V. Rao and N. Manickam , General quickest paths and path-tables, International Journal of Computer Systems: Science and Engineering, 2002, vol. 17, no. 4/5, pp. 235-239.
  19. N.S.V. Rao,NetLets for end-to-end delay minimization in distributed computing over Internet using two-Paths, International Journal of High Performance Computing Applications, vol. 16, no.3, 2002.
  20. N.S.V. Rao, S.G. Batsell, Algorithm for minimum end-to-end delay paths, IEEE Communications Letters, vol. 1, no. 5, 1997, pp. 152-154.
  21. N.S.V. Rao, K. Maly, S. Olariu, S. Dharanikota, L. Zhang, D. Game, Average waiting time profiles of uniform distributed queue dual bus system model, IEEE Transactions on Parallel and Distributed Systems, vol. 6, no. 10, 1995, pp. 1068-1084.

Network Transport Dynamics and Protocols

  1. N. S. V. Rao, W. R. Wing, S. M. Carter, Q. Wu, High-speed dedicated channels and experimental results with hurricane protocol, Annals of Telecommunications , 2006, vol. 61, no. 1-2, pp. 21-45.
  2. N. S.V. Rao, J. Gao, L.O. Chua, On dynamics of transport protocols in wide-area Internet connections, in Complex Dynamics in Communication Networks, L. Kocarev and G. Vattay (editors), 2005.
  3. J. Gao, N. S. V. Rao, J. Hu, J. Ai, Quasi-periodic route to chaos in the dynamics of Internet transport protocols, Physical Review Letters, vol. 94, 2005.
  4. J. Gao, N.S.V. Rao, TCP AIMD dynamics over Internet connections, IEEE Communications Letters, 2005.
  5. N.S.V. Rao, Q. Wu, S.S. Iyengar, On throughput stabilization of network transport, IEEE Communications Letters, vol. 8, no. 1, 2004, pp. 66-68.
  6. J. B. Gao, W.W. Tung, N. S. V. Rao, Noise induced Hopf bifurcation-like sequence and transition to chaos in Lorenz equations, Physical Review Letters, Dec 2002.

Cyber Physical Infrastructures and Networks

  1. C. Y. T. Ma, D. K. Y. Yau, X. Lou, N.S.V. Rao, Markov game analysis for attack-defense of power networks under possible misinformation, IEEE Transactions on Power Systems, 2012, in press.
  2. N. S. V. Rao, Y. Narahari, C. E. Veni Madhavan, D. K. Y. Yau, C. Y. T.Ma, An analytical Framework for cyber-physical networks, in Securing Cyber-Physical Infrastructures: Foundations and Challenges, Editors: S. Das, K. Kant and N. Zhang, Morgan Kaufman Publishers, 2012.
  3. C. Y. T. Ma, D. K. Y. Yau, N. S. V. Rao, Scalable Solutions of Markov Games for Smart-Grid Infrastructure Protection, IEEE Transactions on Smart Grid , 2012, in press .

Resilient Exascale Computing

  1. N. S. V. Rao, Chaotic-identity maps for robustness estimation of Exascale computations, 2nd Workshop on Fault-Tolerance for HPC at Extreme Scale (FTXS 2012), 2012.

Sensor Networks

  1. C. Y. T. Ma, D. K. Y. Yau, N. K. Yip, N. S. V. Rao, J. Chen, Stochastic steepest-descent optimization of multiple-objective mobile sensor coverage, IEEE Transactions on Vehicular Technology, 2012.
  2. Y. Gu, Q. Wu, N. S. V. Rao, Optimizing cluster heads for energy efficiency in large-scale heterogeneous wireless sensor networks, International Journal of Distributed Sensor Networks , 2010.
  3. J. C. Chin, C. Y. T. Ma, D. K. Y. Yau, N. S. V. Rao, M. Shankar, Y. Yong, Accurate localization of low-level radioactive source under noise and measurement errors, 6th ACM Conference on Embedded Networked Sensor Systems: Sensys, 2008.
  4. X. Xu, S. Sahni, N. S. V. Rao, On basic properties of localization using distance-difference measurements, International Conference on Information Fusion, 2008.
  5. N. S. V. Rao, M. Shankar, J. C. Chin, D. K. Y. Yau, C. Y. T. Ma, Y. Yong, J. C. Hou, X. Xu, S. Sahni, Localization under random measurements with applications to radiation sources, International Conference on Information Fusion, 2008.
  6. N. S. V. Rao, M. Shankar, S. Srivathsan, S. S. Iyengar, J. C. Chin, D. K. Y. Yau, Y. Yong, J. C. Hou, Identification of low-level point radiation sources using a sensor network, International Confernece on Information Processing in Sensor Networks (IPSN), 2008
  7. Q. Wu, N. S. V. Rao, X. Du, S. S. Iyengar, V. K. Vaishnavi, On efficient deployment of sensors on planar grid, Computer Communications , vol. 30, no. 14-15, 2007, pp. 2721-2734.
  8. J. C. Hou, Y. Yang, D. Yau, I-H. Hou, M. Shankar, and N. Rao, Coverage in wireless sensor networks, in Handbook of Wireless Ad Hoc and Sensor Networks , S. Misra, I. Woungang and S. C. Misra (Eds), Springer-Verlag , 2007.
  9. N. S. V. Rao, X. Xu, S. Sahni, A computational geometric method for DTOA triangulation, International Conference on Information Fusion, 2007.
  10. A. Sundaresan, P. K. Varshney, N. S. V. Rao, Distributed detection of a nuclear radioactive source using fusion of correlated decisions, International Conference on Information Fusion, 2007.
  11. N.S.V. Rao and Q.Wu, Network daemons for distributed sensor networks, in Distributed Sensor Networks, R.R. Brooks and S.S. Iyengar (editors), 2005.
  12. Q. Wu, S.S. Iyengar, and N.S.V. Rao, Genetic algorithm for mobile agent routing in distributed sensors networks, in Distributed Sensor Networks, R.R. Brooks and S.S. Iyengar (editors), 2005.
  13. N.S.V. Rao, Measurement-based statistical fusion methods for distributed sensor networks, in Distributed Sensor Networks, R.R. Brooks and S.S. Iyengar (editors), 2005.
  14. S.S. Iyengar, A. Tandon, Q. Wu, E. Cho, N.S.V. Rao and V.K. Vaishnavi, Deployment of Sensors: An Overview, in Distributed Sensor Networks, R.R. Brooks and S.S. Iyengar (editors), 2005.
  15. S.S. Iyengar, Q. Wu, N.S.V. Rao, Networking Paradigm for Distributed Sensor Networks, International Scientific Journal of Computing, 2005.
  16. Q. Wu, N.S.V. Rao, J. Barhen, S.S. Iyengar, V.K. Vaishanavi, H. Qi, K. Chakrabarty, On computing mobile agent routes for data fusion in distributed sensor networks, IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 6, 2004, pp. 740-753.
  17. Q. Wu , N.S. V. Rao, R.R. Brooks, S.S. Iyengar, and M. Zhu, On computational and networking problems in distributed sensor networks, in Handbook of Distributed Sensor Networks, M. Illyas (editor), 2004.
  18. S. Radhakrishnan, G. Racherla, N. Sekharan, N.S.V. Rao, S.G. Batsell, Protocol for dynamic ad hoc networks using distributed spanning trees, Wireless Networks, vol. 9, pp. 673-686, 2003.

Information Fusion

  1. N. S. V. Rao, Generic sensor fusion problem: Theory and applications, International Colloquium on Information Fusion, Xian, China, 2007.
  2. N.S.V. Rao, D.B. Reister, J. Barhen, Information fusion methods based on physical laws, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 1, 2005, pp.66-77.
  3. J.N. Wang, S. Konduri, N.S. Rao, Information fusion technique for evaluating radiation embrittlement of reactor pressure vessel steels, Journal of Pressure Vessel Technology, vol. 127, no.1, 2005, pp. 98-104.
  4. N.S.V. Rao, A generic sensor fusion problem: Classification and function estimation, in Multiple Classifier Systems, F. Roli (editor), 2004.
  5. J. A. Wang and N.S.V. Rao, A new technique for the prediction of nonlinear material behavior, Journal of Nuclear Materials, vol. 301, 2002, pp. 193-202.
  6. Y. Chen, R.R. Brooks, S.S. Iyengar, N.S.V. Rao, J. Barhen, Efficient global optimization for image registration, IEEE Transactions on Knowledge and Data Engineering,vol. 14, no. 1, 2002, pp. 79-92.
  7. N.S.V. Rao, Multisensor fusion under unknown distributions: Finite sample performance guarantees, in Multisensor Fusion, A.K. Hyder, E. Shahbazian, E. Waltz (editors), Kluwer Academic Pub., 2002.
  8. N.S.V. Rao, On fusers that perform better than best sensor, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 8, pp. 904-909, 2001.
  9. N.S.V. Rao, Reply to “Comments on Finite sample performance guarantees of fusers for function estimators”, Information Fusion, vol. 1, no. 2, 2000, pp. 101-102.
  10. N.S.V. Rao, Finite sample performance guarantees of fusers for function estimators, Information Fusion, vol. 1, no. 1, 2000, pp. 35-44.
  11. N.S.V. Rao, Simple sample bound for feedforward sigmoid networks with bounded weights, Neurocomputing, 1999, vol.29.
  12. N.S.V. Rao, Multiple sensor fusion under unknown distributions, Journal of Franklin Institute, 1999, vol. 336, no. 2, pp. 285-299.
  13. R.N. Madan and N.S.V. Rao, Guest editorial on information/decision fusion with engineering applications, Journal of Franklin Institute, 1999, vol. 336, no. 2, pp. 199-204.
  14. N.S.V. Rao, Fusion methods in multiple sensor systems using feedforward neural networks, Intelligent Automation and Soft Computing, vol. 5, No. 1, 1999, pp. 21-30.
  15. N.S.V. Rao, Vector space methods for sensor fusion problems, Optical Engineering, vol. 37, no. 2, 1998, pp. 499-504.
  16. N.S.V. Rao, V. Protopopescu, Function estimation by feedforward sigmoidal networks with bounded weights, Neural Processing Letters, vol. 7, No. 3, 1998, pp.125-131.
  17. N.S.V. Rao, Nadaraya-Watson estimator for distributed sensor fusion, Optical Engineering, vol. 36, no. 3, 1997, pp.642-647.
  18. N.S.V. Rao, Distributed decision fusion using empirical estimation, IEEE Transactions on Aerospace and Electronic Systems, vol. 33, no. 4, 1997, pp.1106-1114.
  19. R.R. Brooks, S.S. Iyengar, N.S.V. Rao, Resolution of contradictory sensor data, Intelligent Automation and Soft Computing, vol. 3, no. 3, 1997, pp. 287-300.
  20. N.S.V. Rao and E.M. Oblow, N-Learners problem: System of PAC learners, in Computational Learning Theory and Natural Learning Systems, R. Greiner, T. Petsche, S. J. Hanson (editors), MIT Press, 1997,pp.189-210.
  21. N.S.V. Rao and S.S. Iyengar, Distributed decision fusion under unknown distributions, Optical Engineering, vol. 35, no. 3, March 1996, pp. 617-624.
  22. S. Tomoe, N.SV. Rao, R.C. Mann, A learning-based method to recognize and localize glassware using laser range images, Image and Vision Computing, vol. 14, no. 2, 1996, pp. 131-134.
  23. N.S.V. Rao, Fusion rule estimation in multiple sensor systems with unknown noise densities, Journal of Franklin Institute, vol. 331B, no. 5, 1994, pp. 509-530.
  24. N.S.V. Rao, E.M. Oblow, C.W. Glover, Learning separations by Boolean combinations of halfspaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 7, 1994, pp. 765-768.
  25. N.S.V. Rao, E.M. Oblow, Majority and location-based fusers for system of PAC learners, IEEE Transactions on Systems, Man and Cybernetics, vol. 24, no. 5, 1994, pp. 713-727.
  26. N.S.V. Rao, E.M. Oblow, C.W. Glover, G.E. Liepins, N-learners Problem: Fusion of concepts, IEEE Transactions on Systems, Man and Cybernetics, vol. 24, no. 2, 1994, pp. 319-327.
  27. N.S.V. Rao, S.S. Iyengar, R.L. Kashyap, Computational complexity of distributed detection problems with information constraints, Computers and Electrical Engineering, vol. 19, no. 6, 1993, pp. 445-451.

Fault Diagnosis

  1. N.S.V. Rao, On parallel algorithms for single-fault diagnosis in fault propagation graph systems, IEEE Transactions on Parallel and Distributed Systems, vol. 7, no. 12, 1996, pp. 1217-1223.
  2. N.S.V. Rao and S. Toida, On polynomial-time testable combinational circuits, IEEE Transactions on Computers, vol. 43, no. 11, 1994, pp. 1298-1308.
  3. N.S.V. Rao, Expected-value analysis of two single fault diagnosis algorithms, IEEE Transactions on Computers, vol. 42, no. 3, 1993, pp. 272-280.
  4. N.S.V. Rao, Computational complexity issues in operative diagnosis of graph-based systems, IEEE Transactions on Computers, vol. 42, no. 4, 993, pp. 447-457.
  5. N.S.V. Rao, and N. Viswanadham, Fault diagnosis in large scale systems: a graph theoretic approach, International Journal of System Science, vol.18, no.4, 1987, pp. 687-695.

Pattern Recognition and Statistical Estimation

  1. N.S.V. Rao, V.R.R. Uppuluri, E.M. Oblow, On stochastic approximation algorithms for classes of PAC learning problems, IEEE Transactions on Systems, Man and Cybernetics: B. Cybernetics, vol. 27, no. 3, 1997, pp. 516-522.
  2. N.S.V. Rao, V. Protopopescu, On PAC learning of functions with smoothness properties using feedforward sigmoidal networks, vol. 84, no. 10, Proceedings of IEEE, 1996, pp.1562-1569.
  3. N.S.V. Rao, V. Protopopescu, R.C. Mann, E.M. Oblow, S.S. Iyengar, Learning algorithms for feedforward networks based on finite samples, IEEE Transactions on Neural Networks, vol. 7, No. 4, 1996, pp. 926-940.

Robot Navigation

  1. N.S.V. Rao, Terrain model acquisition by mobile robot teams and n-connectivity, in Distributed Autonomous Robotic Systems 4, L.E. Parker, G. Bekey and J. Barhen (Editors), Springer-Verlag, 2000.
  2. N.S.V. Rao, N. Manickam and V. Protopopescu, Connectivity of visibility graphs and terrain model acquisition by robot teams, Congressus Numerantium, vol.120, 1996, pp.129-137.
  3. N.S.V. Rao, On fast planning of sub-optimal paths amidst polygonal obstacles in plane, Theoretical Computer Science, vol.140, no.2, 1995, pp. 265-289.
  4. N.S.V. Rao, Robot navigation in unknown generalized polygonal terrains using vision sensors, IEEE Transactions on Systems, Man and Cybernetics, vol. 25, no. 6, 1995, pp. 947-962.
  5. N.S.V. Rao, and S.S. Iyengar, Autonomous robot navigation in unknown terrains: Visibility graph based methods, IEEE Transactions on Systems, Man and Cybernetics, vol. 20, no.6, 1990,pp. 1443-1449.
  6. N.S.V. Rao, An algorithmic framework for learned robot navigation in unknown terrains, IEEE Computer, July 1989, pp. 37-43.
  7. N.S.V. Rao, S.S. Iyengar, B.J. Oommen, and R.L. Kashyap, On terrain acquisition by a point robot amidst polyhedral obstacles, IEEE Journal of Robotics and Automation, vol.4, no.4, 1988, pp. 450-455.
  8. J.B. Oommen, S.S. Iyengar, N.S.V. Rao, and R.L. Kashyap, Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case, IEEE Journal of Robotics and Automation, vol.3, no. 6, 1987, pp. 672-681.
 
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