World's Best Scientists 2026 revealed!
Vikram Krishnamurthy

Vikram Krishnamurthy

D-Index & Metrics

Computer Science

D-Index
61
Citations
13071
World Ranking
3111
National Ranking
1515

Electronics and Electrical Engineering

D-Index
62
Citations
13205
World Ranking
1466
National Ranking
605

Research.com Recognitions

  • 2005 - IEEE Fellow For contributions to adaptive sensor signal processing.

Overview

Vikram Krishnamurthy is affiliated with the University of British Columbia in Canada. Their research spans across multiple fields including Computer Science and Physics and Astronomy, with a focus on several subfields such as Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Management Science and Operations Research, and Aerospace Engineering.

The scientist's research topics include:

  • Opinion Dynamics and Social Influence
  • Complex Network Analysis Techniques
  • Target Tracking and Data Fusion in Sensor Networks
  • Distributed Sensor Networks and Detection Algorithms
  • Statistical Mechanics and Entropy
  • Radar Systems and Signal Processing
  • Game Theory and Applications

Vikram Krishnamurthy has published extensively in various venues. The most frequent publication venues are:

  • arXiv (Cornell University), with 52 publications
  • IEEE Transactions on Aerospace and Electronic Systems, with 7 publications
  • IEEE Transactions on Signal Processing, with 5 publications
  • IEEE Transactions on Computational Social Systems, with 4 publications
  • Automatica, with 3 publications

Recent notable papers include:

  • "Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems," 2020, IEEE Transactions on Signal Processing
  • "Principal-Agent Problem as a Principled Approach to Electronic Counter-Countermeasures in Radar," 2022, IEEE Transactions on Aerospace and Electronic Systems
  • "Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference," 2021, IEEE Transactions on Aerospace and Electronic Systems
  • "Metacognitive Radar: Masking Cognition From an Inverse Reinforcement Learner," 2023, IEEE Transactions on Aerospace and Electronic Systems
  • "Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation," 2021, IEEE Transactions on Computational Social Systems

Frequent coauthors collaborating with Vikram Krishnamurthy include:

  • Kunal Pattanayak
  • Buddhika Nettasinghe
  • Luke Snow
  • Bosung Kang
  • Muralidhar Rangaswamy

The scientist has authored works published by Cambridge University Press, including a forthcoming book titled Partially Observed Markov Decision Processes set for publication in 2025.

Vikram Krishnamurthy received the IEEE Fellow award in 2005 for contributions to adaptive sensor signal processing.

Best Publications

  • Particle filters for state estimation of jump Markov linear systems

    A. Doucet;N.J. Gordon;V. Krishnamurthy

  • Performance analysis of a dynamic programming track before detect algorithm

    L.A. Johnston;V. Krishnamurthy

  • On-line estimation of hidden Markov model parameters based on the Kullback-Leibler information measure

    V. Krishnamurthy;J.B. Moore

  • Algorithms for optimal scheduling and management of hidden Markov model sensors

    V. Krishnamurthy

  • Optimal Joint Session Admission Control in Integrated WLAN and CDMA Cellular Networks with Vertical Handoff

    F. Yu;V. Krishnamurthy

  • Decentralized dynamic spectrum access for cognitive radios: cooperative design of a non-cooperative game

    M. Maskery;V. Krishnamurthy;Qing Zhao

  • An improvement to the interacting multiple model (IMM) algorithm

    L.A. Johnston;V. Krishnamurthy

  • Expectation maximization algorithms for MAP estimation of jump Markov linear systems

    A. Logothetis;V. Krishnamurthy

  • Cross-Layer optimal connection admission control for variable bit rate multimedia traffic in packet wireless CDMA networks

    Fei Yu;V. Krishnamurthy;V.C.M. Leung

  • Structured Threshold Policies for Dynamic Sensor Scheduling—A Partially Observed Markov Decision Process Approach

    V. Krishnamurthy;D.V. Djonin

  • Stochastic sampling algorithms for state estimation of jump Markov linear systems

    A. Doucet;A. Logothetis;V. Krishnamurthy

  • Transmission Scheduling for Optimizing Sensor Network Lifetime: A Stochastic Shortest Path Approach

    Yunxia Chen;Qing Zhao;V. Krishnamurthy;D. Djonin

  • MIMO Transmission Control in Fading Channels—A Constrained Markov Decision Process Formulation With Monotone Randomized Policies

    D.V. Djonin;V. Krishnamurthy

  • New finite-dimensional filters for parameter estimation of discrete-time linear Gaussian models

    R.J. Elliott;V. Krishnamurthy

  • Hidden Markov model multiarm bandits: a methodology for beam scheduling in multitarget tracking

    V. Krishnamurthy;R.J. Evans

  • Regime Switching Stochastic Approximation Algorithms with Application to Adaptive Discrete Stochastic Optimization

    Gang George Yin;Vikram Krishnamurthy;Cristina Ion

  • Cognitive Base Stations in LTE/3GPP Femtocells: A Correlated Equilibrium Game-Theoretic Approach

    J. W. Huang;V. Krishnamurthy

  • IEEE TRANSACTIONS® ON AEROSPACE AND ELECTRONIC SYSTEMS

    Avionic Systems;Murat Efe;Myron Kayton;Michael Rice

  • Adaptive MIMO antenna selection via discrete stochastic optimization

    I. Berenguer;Xiaodong Wang;V. Krishnamurthy

  • Robust Meter Placement for State Estimation in Active Distribution Systems

    Mohammad Ghasemi Damavandi;Vikram Krishnamurthy;Jose R. Marti

  • Interference management using cognitive base-stations for UMTS LTE

    A. Attar;V. Krishnamurthy;O. N. Gharehshiran

  • Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing

    Vikram Krishnamurthy

Frequent Co-Authors

George Yin
George Yin University of Connecticut
Bo Wahlberg
Bo Wahlberg Royal Institute of Technology
John B. Moore
John B. Moore Australian National University
Leigh A. Johnston
Leigh A. Johnston University of Melbourne
Robin J. Evans
Robin J. Evans University of Melbourne
Jamie Evans
Jamie Evans University of Melbourne
H. Vincent Poor
H. Vincent Poor Princeton University
Subhrakanti Dey
Subhrakanti Dey Uppsala University
Ba-Ngu Vo
Ba-Ngu Vo Curtin University
Kutluyil Dogancay
Kutluyil Dogancay University of South Australia

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