World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6968
World Ranking
9295
National Ranking
3954

Research.com Recognitions

  • 2008 - IEEE Fellow For contributions to algorithms for reliable communication in distributed sensor networks

Overview

Nageswara S. V. Rao is affiliated with Oak Ridge National Laboratory in the United States. Their research portfolio encompasses a range of topics primarily situated at the intersection of computer science and engineering.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these broad areas, Rao has contributed extensively to subfields such as:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Information Systems
  • Atomic and Molecular Physics, and Optics

The key topics covered in their work include:

  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Software-Defined Networks and 5G
  • Cloud Computing and Resource Management
  • Distributed and Parallel Computing Systems
  • Quantum optics and atomic interactions
  • Advanced Electron Microscopy Techniques and Applications

Rao has been involved in a significant number of publications, with frequent venues reflecting their multidisciplinary expertise. Notable publication venues include:

  • arXiv (Cornell University)
  • Optics Express
  • Conference on Lasers and Electro-Optics
  • 2021 IEEE 24th International Conference on Information Fusion (FUSION)
  • Microscopy and Microanalysis

Recent papers showcasing their research activities include:

  • "Tumor microenvironment: Challenges and opportunities in targeting metastasis of triple negative breast cancer", 2020, Pharmacological Research
  • "Machine learning for automated experimentation in scanning transmission electron microscopy", 2023, npj Computational Materials
  • "Coexistent Quantum Channel Characterization Using Spectrally Resolved Bayesian Quantum Process Tomography", 2023, Physical Review Applied
  • "A Roadmap for Edge Computing Enabled Automated Multidimensional Transmission Electron Microscopy", 2022, Microscopy Today
  • "Two-mode squeezing over deployed fiber coexisting with conventional communications", 2023, Optics Express

Frequent collaborators in Rao's research projects include:

  • Anees Al-Najjar
  • Nicholas A. Peters
  • Muneer Alshowkan
  • Debangshu Mukherjee
  • Joseph M. Lukens

Rao's contributions to the field have been recognized with the award of IEEE Fellow in 2008 for work on algorithms related to reliable communication in distributed sensor networks.

Best Publications

  • On computing mobile agent routes for data fusion in distributed sensor networks

    Q. Wu;N.S.V. Rao;J. Barhen;S.S. Iyenger

  • Privacy vulnerability of published anonymous mobility traces

    Chris Y.T. Ma;David K.Y. Yau;Nung Kwan Yip;Nageswara S.V. Rao

  • Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case

    B. Oommen;S. Iyengar;N. Rao;R. Kashyap

  • Privacy vulnerability of published anonymous mobility traces

    Chris Y. T. Ma;David K. Y. Yau;Nung Kwan Yip;Nageswara S. V. Rao

  • Robot navigation in unknown terrains: Introductory survey of non-heuristic algorithms

    Unknown

  • Ultrascience net: network testbed for large-scale science applications

    N.S.V. Rao;W.R. Wing;S.M. Carter;Q. Wu

  • Markov Game Analysis for Attack-Defense of Power Networks Under Possible Misinformation

    Chris Y. T. Ma;David K. Y. Yau;Xin Lou;Nageswara S. V. Rao

  • CHEETAH: circuit-switched high-speed end-to-end transport architecture testbed

    Xuan Zheng;M. Veeraraghavan;N.S.V. Rao;Qishi Wu

  • On efficient deployment of sensors on planar grid

    Qishi Wu;Nageswara S. V. Rao;Xiaojiang Du;S. Sitharama Iyengar

  • DST-A routing protocol for ad hoc networks using distributed spanning trees

    S. Radhakrishnan;G. Racherla;C.N. Sekharan;N.S.V. Rao

  • QoS routing via multiple paths using bandwidth reservation

    N.S.V. Rao;S.G. Batsell

  • Computational complexity issues in operative diagnosis of graph-based systems

    N.S.V. Rao

  • Identification of Low-Level Point Radiation Sources Using a Sensor Network

    Nageswara S. V. Rao;Mallikarjun Shankar;Jren-Chit Chin;David K. Y. Yau

  • A 'retraction' method for learned navigation in unknown terrains for a circular robot

    N.S.V. Rao;N. Stoltzfus;S.S. Iyengar

  • Algorithmic framework for learned robot navigation in unknown terrains

    N.S.V. Rao

  • An integrated intelligent decision support system based on sensor and computer networks

    Qishi Wu;Mengxia Zhu;Nageswara S.V. Rao;S. Sitharama Iyengar;S. Sitharama Iyengar

  • Copula-Based Fusion of Correlated Decisions

    A Sundaresan;P K Varshney;N S V Rao

  • Distributed detection of a nuclear radioactive source using fusion of correlated decisions

    A. Sundaresan;P.K. Varshney;N.S.V. Rao

  • A Reconfigurable Quantum Local Area Network Over Deployed Fiber

    Muneer Alshowkan;Brian P. Williams;Philip G. Evans;Nageswara S. V. Rao

  • On fusers that perform better than best sensor

    N.S.V. Rao

  • On terrain acquisition by a point robot amidst polyhedral obstacles

    N.S.V. Rao;S.S. Iyengar;B.J. Oommen;R.L. Kashyap

  • Accurate localization of low-level radioactive source under noise and measurement errors

    Jren-Chit Chin;David K.Y. Yau;Nageswara S.V. Rao;Yong Yang

Frequent Co-Authors

S. Sitharama Iyengar
S. Sitharama Iyengar Florida International University
David K. Y. Yau
David K. Y. Yau Singapore University of Technology and Design
Richard R. Brooks
Richard R. Brooks Clemson University
Ian Foster
Ian Foster University of Chicago
Jun Zhuang
Jun Zhuang University at Buffalo, State University of New York
Xin Wang
Xin Wang Stony Brook University
Stephan Olariu
Stephan Olariu Old Dominion University
Sartaj Sahni
Sartaj Sahni University of Florida
B. V. K. Vijaya Kumar
B. V. K. Vijaya Kumar Carnegie Mellon University
Rangasami L. Kashyap
Rangasami L. Kashyap Purdue University West Lafayette

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