V. Krishnamurthy

发表

Computing monotone policies for Markov decision processes by exploiting sparsity

Bo Wahlberg, Cristian R. Rojas, Vikram Krishnamurthy, 2013, 2013 Australian Control Conference.

Quickest Time Herding and Detection for Optimal Social Learning pdf

Vikram Krishnamurthy, V. Krishnamurthy, 2010, ArXiv.

Effective bandwidth of multimedia traffic in packet wireless CDMA networks with LMMSE receivers: a cross-layer perspective

F. Richard Yu, Vikram Krishnamurthy, V. Krishnamurthy, 2006, IEEE Transactions on Wireless Communications.

Estimation of 1-bit quantized time-series with Markov regime

H. Vincent Poor, Vikram Krishnamurthy, Andrew Logothetis, 1997, Signal Processing.

Estimation of Markov-modulated time-series via EM algorithm

V. Krishnamurthy, S. Dey, Thierry Salmon-Legagneur, 1994, IEEE Signal Processing Letters.

Adaptive controlled Brownian dynamics approach for permeation in bio-nanotubes

Vikram Krishnamurthy, Shin-Ho Chung, Shin-Ho Chung, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Brownian dynamics Simulation for modeling ion permeation across bionanotubes

Shin-Ho Chung, V. Krishnamurthy, 2005, IEEE Transactions on NanoBioscience.

WLC15-6: A QoS-Based MAC Protocol for Ad Hoc WLANs

Vikram Krishnamurthy, Farshad Eshghi, V. Krishnamurthy, 2006, IEEE Globecom 2006.

Interactive Sensing in Social Networks pdf

H. Vincent Poor, Vikram Krishnamurthy, V. Krishnamurthy, 2013, ArXiv.

Stochastic Learning Algorithms for Adaptive Modulation

Robert Schober, Vikram Krishnamurthy, Anup Misra, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Inverse Filtering for Hidden Markov Models

Bo Wahlberg, Cristian R. Rojas, Vikram Krishnamurthy, 2017, NIPS.

Channel Adaptive Multi-User Scalable Video Streaming with Unequal Erasure Protection

Panos Nasiopoulos, Vikram Krishnamurthy, Hussein Mansour, 2007, Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '07).

Interactive Sensing and Decision Making in Social Networks

Vikram Krishnamurthy, Maziyar Hamdi, Omid Namvar Gharehshiran, 2014, Found. Trends Signal Process..

Consistent Estimation of Linear and Non‐linear Autoregressive Models with Markov Regime

T. Rydén, V. Krishnamurthy, 1998 .

Exact finite-dimensional filters for doubly stochastic auto-regressive processes

R. Elliott, V. Krishnamurthy, 1997, IEEE Trans. Autom. Control..

On hidden fractal model signal processing

John B. Moore, Shin-Ho Chung, V. Krishnamurthy, 1991, Signal Process..

Signal processing of semi-Markov models with exponentially decaying states

John B. Moore, V. Krishnamurthy, 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

Optimality of threshold policies for transmission scheduling in correlated fading channels

Vikram Krishnamurthy, Minh Hanh Ngo, V. Krishnamurthy, 2009, IEEE Transactions on Communications.

A Stochastic Search Approach for UAV Trajectory Planning In Localization Problems

Vikram Krishnamurthy, Farhad Ghassemi, V. Krishnamurthy, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Rate and Distortion Modeling of CGS Coded Scalable Video Content

Hassan Mansour, Panos Nasiopoulos, Vikram Krishnamurthy, 2011, IEEE Transactions on Multimedia.

Optimal and Approximate Mobility-Assisted Opportunistic Scheduling in Cellular Networks

Victor C. M. Leung, Vikram Krishnamurthy, Syed Hussain Ali, 2006, IEEE Transactions on Mobile Computing.

Algorithms for optimal scheduling and management of hidden Markov model sensors

Vikram Krishnamurthy, V. Krishnamurthy, 2002, IEEE Trans. Signal Process..

Decentralized spectrum access via multivariate global games

Vikram Krishnamurthy, V. Krishnamurthy, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

Reduced-complexity estimation for Poisson processes modulated by nearly completely decomposable Markov chains

Vikram Krishnamurthy, Subhrakanti Dey, V. Krishnamurthy, 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

Adaptive Polling in Hierarchical Social Networks Using Blackwell Dominance

Vikram Krishnamurthy, Sujay Bhatt, V. Krishnamurthy, 2018, IEEE Transactions on Signal and Information Processing over Networks.

Syntactic Enhancement to VSIMM for Roadmap Based Anomalous Trajectory Detection: A Natural Language Processing Approach

Vikram Krishnamurthy, Sijia Gao, V. Krishnamurthy, 2016, IEEE Transactions on Signal Processing.

Average-consensus with switched Markovian network links

Gang George Yin, Vikram Krishnamurthy, Kevin Topley, 2009, 2009 12th International Conference on Information Fusion.

Adaptive MIMO antenna selection via discrete stochastic optimization

V. Krishnamurthy, Xiaodong Wang, I. Berenguer, 2005, IEEE Transactions on Signal Processing.

Self Learning Control of Constrained Markov Decision Processes - A Gradient Approach

V. Krishnamurthy, F. Abad, 2003 .

Shining Bright: The Golden Era of Signal Processing

Vikram Krishnamurthy, Brendan J. Frey, Holger Boche, 2011 .

Dependence Structure Analysis Of Meta-level Metrics in YouTube Videos: A Vine Copula Approach pdf

Vikram Krishnamurthy, Yan Duan, Yan Duan, 2017, ArXiv.

Engagement dynamics and sensitivity analysis of YouTube videos pdf

Vikram Krishnamurthy, William Hoiles, Anup Aprem, 2016, ArXiv.

Derivation of a sawtooth iterated extended Kalman smoother via the AECM algorithm

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2001, IEEE Trans. Signal Process..

Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems

Gang George Yin, Vikram Krishnamurthy, Sumeetpal Singh, 2001, IEEE Trans. Signal Process..

Syntactic Modeling and Signal Processing of Multifunction Radars: A Stochastic Context-Free Grammar Approach

Alex Wang, Simon Haykin, Vikram Krishnamurthy, 2007, Proceedings of the IEEE.

Model reduction using the Routh stability criterion

V. Krishnamurthy, V. Seshadri, 1978 .

Expectation maximization algorithms for MAP estimation of jump Markov linear systems

Vikram Krishnamurthy, Andrew Logothetis, V. Krishnamurthy, 1999, IEEE Trans. Signal Process..

An adaptive hidden Markov model/Kalman filter algorithm for narrowband interference suppression with applications in multiple access communications

V. Krishnamurthy, A. Logothetis, V. Krishnamurthy, 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.

On maneuvering target tracking via the PMHT

V. Krishnamurthy, A. Logothetis, J. Holst, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

State estimation of jump Markov linear systems via stochastic sampling algorithms

A. Doucet, V. Krishnamurthy, A. Logothetis, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Signal Interpretation of Multifunction Radars: Modeling and Statistical Signal Processing With Stochastic Context Free Grammar

Alex Wang, Vikram Krishnamurthy, V. Krishnamurthy, 2008, IEEE Transactions on Signal Processing.

Adaptive estimation in the presence of order and parameter changes

John B. Moore, L. Xia, V. Krishnamurthy, 1989 .

Adaptive estimation of hidden nearly completely decomposable Markov chains with applications in blind equalization

V. Krishnamurthy, 1994 .

Godard blind equalizer misbehavior with correlated sources : two examples

Vikram Krishnamurthy, C. Richard Johnson, James Leblanc, 1993 .

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

Robin J. Evans, Vikram Krishnamurthy, V. Krishnamurthy, 2001, IEEE Trans. Signal Process..

Robust continuous-time smoothers without two-sided stochastic integrals

R. Elliott, V. Krishnamurthy, 2002, IEEE Trans. Autom. Control..

Mean-square asymptotic analysis of cross-coupled Kalman filter state-estimation algorithm for bilinear systems

V. Tadić, V. Krishnamurthy, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

WEAK CONVERGENCE ANALYSIS OF CROSS-COUPLED KALMAN FILTER STATE-ESTIMATION ALGORITHM FOR BILINEAR SYSTEMS

V. Tadić, V. Krishnamurthy, 2002 .

Exact Finite-Dimensional Filters for Maximum Likelihood Parameter Estimation of Continuous-time Linear Gaussian Systems

Robert J. Elliott, Vikram Krishnamurthy, R. Elliott, 1997 .

Maximum likelihood decoding of QAM signals in Markov modulated fading channels

A. Logothetis, V. Krishnamurthy, I. Collings, 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.

MAP state sequence estimation for jump Markov linear systems via the expectation-maximization algorithm

Vikram Krishnamurthy, A. Logothetis, V. Krishnamurthy, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

Finite dimensional filters for maximum likelihood estimation of continuous-time linear Gaussian systems

V. Krishnamurthy, R. Elliott, V. Krishnamurthy, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

Sequential simulation-based estimation of jump Markov linear systems

N. Gordon, A. Doucet, V. Krishnamurthy, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

Characterizing End-to-end Internet Performance Biographical Sketch I Spent One and a Half Years Visiting the At&t Center for Internet Research at Icsi (aciri). I Had a Wonderful Time with the Stellar Team of Networking Re- Searchers at Aciri, Including

Wei Tsang Ooi, V. Paxson, B. Karp, 2001 .

Factorizations that relax the positive real condition in continuous‐time and fast‐sampled ELS schemes

John B. Moore, B. Wahlberg, V. Krishnamurthy, 1990 .

Implementation of gradient estimation to a constrained Markov decision problem

V. Krishnamurthy, Katerine Martin, Felisa Vasquez Abad, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Policy gradient stochastic approximation algorithms for adaptive control of constrained time varying Markov decision processes

F. Vázquez-Abad, V. Krishnamurthy, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Self learning control of constrained Markov chains - a gradient approach

F. Vázquez-Abad, V. Krishnamurthy, Katerine Martin, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Adaptive Brownian dynamics Simulation for estimating potential mean force in ion channel permeation

Shin-Ho Chung, V. Krishnamurthy, 2006, IEEE Transactions on NanoBioscience.

Brownian dynamics theory for predicting internal and external blockages of tetraethylammonium in the KcsA potassium channel.

Shin-Ho Chung, V. Krishnamurthy, M. Hoyles, 2008, Biophysical journal.

Multi-Dielectric Brownian Dynamics and Design-Space-Exploration Studies of Permeation in Ion Channels

V. Krishnamurthy, M. Siksik, 2017, IEEE Transactions on NanoBioscience.

De-interleaving Pulse Trains using Discrete-time Stochastic Dynamic-Linear Models

Vikram Krishnamurthy, John B. Moore, V. Krishnamurthy, 1994 .

Multiple Surface-Based Biosensors for Enhanced Molecular Detection in Fluid Flow Systems

V. Krishnamurthy, V. Krishnamurthy, B. Cornell, 2013, IEEE Sensors Journal.

Mathematical Models for Sensing Devices Constructed out of Artificial Cell Membranes

V. Krishnamurthy, William Hoiles, B. Cornell, 2012 .

Ion Channel Biosensors—Part II: Dynamic Modeling, Analysis, and Statistical Signal Processing

Vikram Krishnamurthy, Bruce Cornell, Sahar M. Monfared, 2010, IEEE Transactions on Nanotechnology.

Mathematical modeling of a tethered bilayer sensor containing gramicidin a ion channels

Sahar M. Monfared, V. Krishnamurthy, B. Cornell, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Gramicidin Ion Channel-Based Biosensors: Construction, Stochastic Dynamical Models, and Statistical Detection Algorithms

V. Krishnamurthy, S. Valenzuela, B. Cornell, 2007, IEEE Sensors Journal.

REAL-TIMEMOLECULAR DETECTORSUSINGGRAMICIDINIONCHANNEL NANO-BIOSENSORS

V. Krishnamurthy, 2007 .

Intent Inference : Detection of anomalous trajectory patterns in target tracking

V. Krishnamurthy, M. Fanaswala, 2011 .

Risk-sensitive sensor scheduling for discrete-time nonlinear systems

Andrew E. B. Lim, Vikram Krishnamurthy, V. Krishnamurthy, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Moment Based Regression Algorithms for Drift and Volatility Estimation in Continuous-Time Markov Switching Models

Robert J. Elliott, Vikram Krishnamurthy, Jörn Sass, 2008 .

The data association problem for hidden Markov models

Robin J. Evans, Vikram Krishnamurthy, V. Krishnamurthy, 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

Reduced complexity spatio-temporal image-based tracking for maneuvering targets

V. Krishnamurthy, S. Dey, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Recursive nonlinear estimation of random parameter AR models with Poisson observations

Jamie S. Evans, V. Krishnamurthy, V. Krishnamurthy, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

Filters for estimating Markov modulated Poisson processes and image-enchanced tracking

V. Krishnamurthy, R. Elliot, 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

A parallel filtered-based EM algorithm for hidden Markov model and sinusoidal drift parameter estimation with systolic array implementation

Vikram Krishnamurthy, R. J. Elliott, R. Elliott, 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

Ieee Comsoc Mmtc E-letter E-letter Scalable Video Coding for Telepresence in the Performing Arts........................... 28 Message from Mmtc Chair

V. Krishnamurthy, 2009 .

Recursive Prediction Error Techniques for Adaptive Estimation of Hidden Markov Models

Iain B. Collings, Vikram Krishnamurthy, John B. Moore, 1993 .

Hidden Markov Model Signal Processing in Presence

Vikram Krishnamurthy, Shin-Ho Chung, John B. Moore, 1996 .

Averaging sign algorithms for adaptive filtering

G. Yin, V. Krishnamurthy, C. Ion, 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

Regime switching stochastic approximation algorithms with switched ODE limit

G. Yin, V. Krishnamurthy, C. Ion, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

WHY TRADITIONAL COEXISTENCE SOLUTIONS ARE NOT SUFFICIENT ?

Omid Namvar Gharehshiran, V. Krishnamurthy, A. Attar, 2022 .

Optimal filtering of doubly stochastic auto-regressive processes

Jamie S. Evans, Vikram Krishnamurthy, V. Krishnamurthy, 1999, Autom..

Unifying Classical and Bayesian Revealed Preference

V. Krishnamurthy, Kunal Pattanayak, 2021, ArXiv.

Finite dimensional hybrid smoothers

V. Krishnamurthy, L. Johnston, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

l/sub 1/ state estimation of jump Markov linear systems

V. Krishnamurthy, A. Logothetis, C. Carlemalm, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Lyapunov based Stochastic Stability of a Quantum Decision System for Human-Machine Interaction

V. Krishnamurthy, Luke Snow, Shashwat Jain, 2022, ArXiv.

Estimation algorithm for quantized dynamic shock error models in multiplicative noise

V. Krishnamurthy, 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

Modelling Stock Market Excess Returns by Markov Modulated Gaussian Noise

V. Krishnamurthy, J. Manton, A. Muscatelli, 1998 .

Conditional moment generating functions for integrals and stochastic integrals

R. Elliott, V. Krishnamurthy, C. Charalambous, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

Game Theory for Networks

Vikram Krishnamurthy, Yonggang Wen, Qing Zhao, 2012, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Stochastic learning algorithms for adaptive modulation

V. Krishnamurthy, A. Misra, S. Schober, 2005, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005..

Time discretization of continuous-time filters for hidden Markov model parameter estimation

M. James, V. Krishnamurthy, F. Le Gland, 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

Adaptive Filtering Algorithms for Set-Valued Observations - Symmetric Measurement Approach to Unlabeled and Anonymized Data

V. Krishnamurthy, 2022, ArXiv.

Quickest Detection for Human-Sensor Systems using Quantum Decision Theory

Brian M. Sadler, V. Krishnamurthy, Luke Snow, 2022, ArXiv.

Foreword to the Special Section on Meta-Level and Adversarial Tracking

Simon J. Godsill, Bashar I. Ahmad, Peter Willett, 2021, IEEE Trans. Aerosp. Electron. Syst..

Short primer on stochastic simulation

Vikram Krishnamurthy, V. Krishnamurthy, 2016 .

Bayesian Quickest Detection with Phase-Distributed Change Time and Nonlinear Penalty -- A Lattice Programming Approach pdf

Vikram Krishnamurthy, V. Krishnamurthy, 2010, ArXiv.

Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner

V. Krishnamurthy, Kunal Pattanayak, C. Berry, 2022, 2205.10802.

Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars

V. Krishnamurthy, Kunal Pattanayak, Christopher Berry, 2022, 2022 25th International Conference on Information Fusion (FUSION).

Quickest Time Detection with Phase-Type Change Distribution and Social Learning pdf

Vikram Krishnamurthy, V. Krishnamurthy, 2010, ArXiv.

Quickest Change Detection of Time Inconsistent Anticipatory Agents. Human-Sensor and Cyber-Physical Systems

Vikram Krishnamurthy, V. Krishnamurthy, 2020, IEEE Transactions on Signal Processing.

Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference

Muralidhar Rangaswamy, Sandeep Gogineni, Vikram Krishnamurthy, 2020, IEEE Transactions on Aerospace and Electronic Systems.

How can a Radar Mask its Cognition?

V. Krishnamurthy, Kunal Pattanayak, C. Berry, 2022, ArXiv.

Structural design process and subsequent flight mechanical evaluation in preliminary aircraft design: demonstrated on passenger ride comfort assessment

Vikram Krishnamurthy, Vega Handojo, V. Krishnamurthy, 2021, CEAS Aeronautical Journal.

Ion-Channel Biosensors—Part I: Construction, Operation, and Clinical Studies

Vikram Krishnamurthy, Bruce Cornell, Sahar M. Monfared, 2010, IEEE Transactions on Nanotechnology.

A Price Based Decentralized Rate Selection in IEEE 802.11 Based WLANS

Vikram Krishnamurthy, Laxminarayana S. Pillutla, V. Krishnamurthy, 2011, Wirel. Pers. Commun..

Partially Observed Markov Decision Processes: From Filtering to Controlled Sensing

Vikram Krishnamurthy, V. Krishnamurthy, 2016, 1604.08127.

Continuous-time HMM filters

Vikram Krishnamurthy, V. Krishnamurthy, 2016 .

Large-Scale Dynamical Models and Estimation for Permeation in Biological Membrane Ion Channels

Vikram Krishnamurthy, Shin-Ho Chung, Shin-Ho Chung, 2007, Proceedings of the IEEE.

Can interacting agents in www reach self-organised criticality?

Vikram Krishnamurthy, Venu K. Murthy, E.Vikram Krishnamurthy, 2002 .

Flight Mechanical Modelling considering Flexibility and Flight Control Functions in Preliminary Aircraft Design

Robert Luckner, Vikram Krishnamurthy, V. Krishnamurthy, 2017 .

Dynamic Modeling of Antimicrobial Pore Formation in Engineered Tethered Membranes

Vikram Krishnamurthy, William Hoiles, V. Krishnamurthy, 2015, IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

A molecular machine biosensor: construction, predictive models and experimental studies.

Vikram Krishnamurthy, Bruce Cornell, V. Krishnamurthy, 2012, Biosensors & bioelectronics.

Emergence of Structural Inequalities in Scientific Citation Networks pdf

Kristina Lerman, Vikram Krishnamurthy, Buddhika Nettasinghe, 2021, ArXiv.

Modelling the Bioelectronic Interface in Engineered Tethered Membranes: From Biosensing to Electroporation

Vikram Krishnamurthy, Bruce Cornell, William Hoiles, 2015, IEEE Transactions on Biomedical Circuits and Systems.

How Can a Cognitive Radar Mask its Cognition?

Vikram Krishnamurthy, Kunal Pattanayak, Christopher Berry, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Discrete time filters for doubly stochastic poisson processes and other exponential noise models

Robert J. Elliott, Jonathan H. Manton, Vikram Krishnamurthy, 1999 .

Partially observed Markov decision processes (POMDPs)

Vikram Krishnamurthy, V. Krishnamurthy, 2016 .

Least mean square algorithms with switched Markov ODE limit

G. Yin, V. Krishnamurthy, 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

Generalized Langevin models of molecular dynamics simulations with applications to ion channels.

Dan Gordon, Vikram Krishnamurthy, Shin-Ho Chung, 2009, The Journal of chemical physics.

Engineering aspects of biological ion channels—from biosensors to computational models for permeation

V. Krishnamurthy, B. Cornell, 2012, Protoplasma.

Dynamics of Social Networks: Multi-agent Information Fusion, Anticipatory Decision Making and Polling

V. Krishnamurthy, 2022, 2212.13323.

Exact Finite Dimensional Filters for Exponential Functional of the State

R. Elliott, V. Krishnamurthy, 1999 .

Exact finite dimensional filters for certain exponential functionals of Gaussian state space processes

R. Elliott, V. Krishnamurthy, V. Krishnamurthy, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

Impacts of Cognitive Radio Links on Upper Layer Protocol Design

Vikram Krishnamurthy, Victor C. M. Leung, Qixiang Pang, 2008 .

Quickest Change Detection using Time Inconsistent Anticipatory and Quantum Decision Modeling

V. Krishnamurthy, Luke Snow, 2022, 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Monotonicity of Constrained Optimal Transmission Policies in Correlated Fading Channels With ARQ

Vikram Krishnamurthy, Minh Hanh Ngo, V. Krishnamurthy, 2010, IEEE Transactions on Signal Processing.

Blind identification of fractionally spaced communication channels with Markov inputs

Vikram Krishnamurthy, Kutluyıl Doğançay, V. Krishnamurthy, 1999, Signal Process..

On fast aggregation of Markov chain functionals using stochastic complementation

Vikram Krishnamurthy, Kutluyil Dogançay, V. Krishnamurthy, 1999, Signal Process..

Stochastic sampling algorithms for state estimation of jump Markov linear systems

Arnaud Doucet, Vikram Krishnamurthy, Andrew Logothetis, 2000, IEEE Trans. Autom. Control..

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

Vikram Krishnamurthy, Jane W. Huang, V. Krishnamurthy, 2011, IEEE Transactions on Communications.

Decentralized activation in sensor networks - global games and adaptive filtering games

Vikram Krishnamurthy, V. Krishnamurthy, 2011, Digit. Signal Process..

Networks of Biosensors: Decentralized Activation and Social Learning

Vikram Krishnamurthy, V. Krishnamurthy, 2011, Eur. J. Control.

Distributed correlated Q-learning for dynamic transmission control of sensor networks

Quanyan Zhu, Tamer Basar, Vikram Krishnamurthy, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Game Theoretic Issues in Cognitive Radio Systems (Invited Paper)

Vikram Krishnamurthy, Jane W. Huang, V. Krishnamurthy, 2009, J. Commun..

Decentralized Adaptive Filtering Algorithms for Sensor Activation in an Unattended Ground Sensor Network

Gang George Yin, Vikram Krishnamurthy, Michael Maskery, 2008, IEEE Transactions on Signal Processing.

Network-Enabled Missile Deflection: Games and Correlation Equilibrium

V. Krishnamurthy, M. Maskery, V. Krishnamurthy, 2007, IEEE Transactions on Aerospace and Electronic Systems.

Game Theoretic Activation and Transmission Scheduling in Unattended Ground Sensor Networks: A Correlated Equilibrium Approach

Vikram Krishnamurthy, Minh Hanh Ngo, M. Maskery, 2007 .

Game Theoretic Learning and Pricing for Dynamic Spectrum Access in Cognitive Radio

V. Krishnamurthy, Qing Zhao, M. Maskery, 2007 .

Efficient computation of fair communication equilibria in generalized coordination games

V. Krishnamurthy, M. Maskery, V. Krishnamurthy, 2005, Proceedings of the 2005, American Control Conference, 2005..

Particle filters for state estimation of jump Markov linear systems

Arnaud Doucet, Neil J. Gordon, Vikram Krishnamurthy, 2001, IEEE Trans. Signal Process..

A graph theoretic approach to data incest management in network centric warfare

Vikram Krishnamurthy, R.J. Evans, S.P. McLaughlin, 2005, 2005 7th International Conference on Information Fusion.

Managing data incest in a distributed sensor network

Samuel McLaughlin, Subhash Challa, Vikram Krishnamurthy, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

A Bayesian EM algorithm for optimal tracking of a maneuvering target in clutter

Vikram Krishnamurthy, Andrew Logothetis, Jan Holst, 2002, Signal Process..

Algorithms for blind detection of equalisation errors in hidden Markov model channels

K. Dogancay, C. Carlemalm, V. Krishnamurthy, 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior

V. Krishnamurthy, William Hoiles, Kunal Pattanayak, 2019, J. Mach. Learn. Res..

Estimating Rationally Inattentive Utility Functions with Deep Clustering for Framing - Applications in YouTube Engagement Dynamics pdf

Vikram Krishnamurthy, William Hoiles, V. Krishnamurthy, 2018, ArXiv.

Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach

Vikram Krishnamurthy, William Hoiles, S. M. Shahrear Tanzil, 2017, IEEE Access.

Stochastic context-free grammars for scale-dependent intent inference

Vikram Krishnamurthy, Bhashyam Balaji, Mustafa Fanaswala, 2013, Defense, Security, and Sensing.

Syntactic inference for highway traffic analysis

Alex Wang, Vikram Krishnamurthy, José Araujo, 2009, 2009 12th International Conference on Information Fusion.

Threat Estimation of Multifunction Radars: Modeling and Statistical Signal Processing of Stochastic Context Free Grammars

Alex Wang, Vikram Krishnamurthy, V. Krishnamurthy, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Threat Estimation by Electronic Surveillance of Multifunction Radars: A Stochastic Context Free Grammar Approach

Vikram Krishnamurthy, Alex Wang, Nikita Visnevski, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Adaptive Search Algorithms for Discrete Stochastic Optimization: A Smooth Best-Response Approach

Gang George Yin, Vikram Krishnamurthy, Omid Namvar Gharehshiran, 2014, IEEE Transactions on Automatic Control.

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

Qing Zhao, Vikram Krishnamurthy, Michael Maskery, 2009, IEEE Transactions on Communications.

Anomalous Edge Detection in Edge Exchangeable Social Network Models pdf

Vikram Krishnamurthy, Buddhika Nettasinghe, Rui Luo, 2021, ArXiv.

Iterate-averaging sign algorithms for adaptive filtering with applications to blind multiuser detection

Gang George Yin, Vikram Krishnamurthy, Cristina Ion, 2003, IEEE Trans. Inf. Theory.

James-Stein state filtering algorithms

H. Vincent Poor, Jonathan H. Manton, Vikram Krishnamurthy, 1998, IEEE Trans. Signal Process..

Tracking the Empirical Distribution of a Markov-modulated Duplication-Deletion Random Graph pdf

Gang George Yin, Vikram Krishnamurthy, Maziyar Hamdi, 2013, ArXiv.

Estimating the dielectric constant of the channel protein and pore

Shin-Ho Chung, V. Krishnamurthy, J. Ng, 2008, European Biophysics Journal.

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

Robert J. Elliott, Vikram Krishnamurthy, R. Elliott, 1999, IEEE Trans. Autom. Control..

State encoding of Hidden Markov linear prediction models

H. Vincent Poor, Vikram Krishnamurthy, V. Krishnamurthy, 1996, Journal of Communications and Networks.

How does a stochastic optimization/approximation algorithm adapt to a randomly evolving optimum/root with jump Markov sample paths

Gang George Yin, Vikram Krishnamurthy, Cristina Ion, 2009, Math. Program..

Controllability of Network Opinion in Erdős-Rényi Graphs using Sparse Control Inputs

P. Varshney, V. Krishnamurthy, Geethu Joseph, 2020, SIAM J. Control. Optim..

Application of extreme value theory to level estimation in nonlinearly distorted hidden Markov models

Vikram Krishnamurthy, Kutluyil Dogançay, V. Krishnamurthy, 2000, IEEE Trans. Signal Process..

Exact filters for certain moments and stochastic integrals of the state of systems with Benes nonlinearity

H. Vincent Poor, Robert J. Elliott, Vikram Krishnamurthy, 1999, IEEE Trans. Autom. Control..

Time discretization of continuous-time filters and smoothers for HMM parameter estimation

Vikram Krishnamurthy, Matthew R. James, F. Le Gland, 1996, IEEE Trans. Inf. Theory.

Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based Sampling pdf

Vikram Krishnamurthy, Buddhika Nettasinghe, V. Krishnamurthy, 2019, ACM Trans. Knowl. Discov. Data.

Performance analysis of a track before detect dynamic programming algorithm

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Meta-level tracking for gestural intent recognition

Vikram Krishnamurthy, Mustafa Fanaswala, V. Krishnamurthy, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Spatio-temporal trajectory models for target tracking

Vikram Krishnamurthy, Mustafa Fanaswala, V. Krishnamurthy, 2014, 17th International Conference on Information Fusion (FUSION).

Multitarget Tracking Using Multiple Hypothesis Tracking

Vikram Krishnamurthy, Ba-Ngu Vo, Mahendra Mallick, 2012 .

Separable Approximation for Solving the Sensor Subset Selection Problem

FARHAD GHASSEMI, VIKRAM KRISHNAMURTHY, V. Krishnamurthy, 2011, IEEE Transactions on Aerospace and Electronic Systems.

Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach

V. Krishnamurthy, Luke Snow, Shashwat Jain, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Coalition Formation for Bearings-Only Localization in Sensor Networks—A Cooperative Game Approach

Vikram Krishnamurthy, Omid Namvar Gharehshiran, V. Krishnamurthy, 2010, IEEE Transactions on Signal Processing.

Structural Results for Partially Observed Markov Decision Processes

Vikram Krishnamurthy, V. Krishnamurthy, 2015, 1512.03873.

Optimal sensor scheduling for Hidden Markov models

Vikram Krishnamurthy, Jamie Evans, V. Krishnamurthy, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Myopic Bounds for Optimal Policy of POMDPs: An Extension of Lovejoy's Structural Results

Vikram Krishnamurthy, Udit Pareek, V. Krishnamurthy, 2014, Oper. Res..

Non-self-embedding context-free grammars for multi-function radar modeling - electronic warfare application

S. Haykin, F.A. Dilkes, N.A. Visnevski, 2005, IEEE International Radar Conference, 2005..

Fractionally-spaced blind channel equalisation using hidden Markov models

Vikram Krishnamurthy, Kutluyil Dogançay, V. Krishnamurthy, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Reinforcement Learning: Stochastic Approximation Algorithms for Markov Decision Processes

Vikram Krishnamurthy, V. Krishnamurthy, 2015, 1512.07669.

Adaptive Estimation Techniques for Hidden Markov Models

Vikram Krishnamurthy, V. Krishnamurthy, 2012 .

Biologically inspired rule-based multiset programming paradigm for soft-computing

Vikram Krishnamurthy, E. V. Krishnamurthy, Venu K. Murthy, 2004, CF '04.

Factor graph-based structural equilibria in dynamical games

Liming Wang, Dan Schonfeld, Vikram Krishnamurthy, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Explainable AI Framework for Imaging-Based Predictive Maintenance for Automotive Applications and Beyond

Vikram Krishnamurthy, Kusha Nezafati, Vikrant Singh, 2020 .

Quickest Detection POMDPs With Social Learning: Interaction of Local and Global Decision Makers

Vikram Krishnamurthy, V. Krishnamurthy, 2010, IEEE Transactions on Information Theory.

Multiset Rule-Based Programming Paradigm for Soft-Computing in Complex Systems

Vikram Krishnamurthy, E. V. Krishnamurthy, V. Krishnamurthy, 2006, Handbook of Nature-Inspired and Innovative Computing.

Rule-based programming paradigm: a formal basis for biological, chemical and physical computation.

E V Krishnamurthy, V Krishnamurthy, V. Krishnamurthy, 1999, Bio Systems.

Least mean square algorithms with Markov regime-switching limit

Gang George Yin, Vikram Krishnamurthy, V. Krishnamurthy, 2005, IEEE Transactions on Automatic Control.

Intent inference via syntactic tracking

Vikram Krishnamurthy, Mustafa Fanaswala, V. Krishnamurthy, 2011, Digit. Signal Process..

Stochastic gradient algorithms for design of minimum error-rate linear dispersion codes in MIMO wireless systems

Xiaodong Wang, Vikram Krishnamurthy, Jibing Wang, 2006, IEEE Transactions on Signal Processing.

J-STSP Senior Editorial Board

G. Giannakis, Lina Karam, U. Hawaii, 2015 .

Contagions in Social Networks: Effects of Monophilic Contagion, Friendship Paradox and Reactive Networks

Kristina Lerman, Vikram Krishnamurthy, Buddhika Nettasinghe, 2018, ArXiv.

Information Diffusion in Social Networks: Friendship Paradox based Models and Statistical Inference pdf

Vikram Krishnamurthy, Buddhika Nettasinghe, V. Krishnamurthy, 2018, Modeling, Stochastic Control, Optimization, and Applications.

POMDP Structural Results for Controlled Sensing pdf

Vikram Krishnamurthy, V. Krishnamurthy, 2017, ArXiv.

Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds

Vikram Krishnamurthy, Sujay Bhatt, Tavis Pedersen, 2016, IEEE Transactions on Signal and Information Processing over Networks.

Information Diffusion in Social Sensing pdf

Vikram Krishnamurthy, William Hoiles, V. Krishnamurthy, 2014, ArXiv.

Controlling Transaction Rate in Tangle Ledger: A Principal Agent Problem Approach

V. Krishnamurthy, Anurag Gupta, 2022, ArXiv.

Truth reveling opportunistic scheduling in cognitive radio systems

Vikram Krishnamurthy, Jane W. Huang, V. Krishnamurthy, 2009, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications.

Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks

V. Krishnamurthy, Rui Luo, 2022, ArXiv.

Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation

V. Krishnamurthy, Buddhika Nettasinghe, Rui Luo, 2022, IEEE Transactions on Computational Social Systems.

Estimation of noisy quantized Gaussian AR time-series with randomly varying observation coefficient

Iven M. Y. Mareels, Vikram Krishnamurthy, V. Krishnamurthy, 1995, IEEE Trans. Signal Process..

Deinterleaving pulse trains using discrete-time stochastic dynamic-linear models

John B. Moore, Vikram Krishnamurthy, V. Krishnamurthy, 1994, IEEE Trans. Signal Process..

A Tutorial on Interactive Sensing in Social Networks

Vikram Krishnamurthy, H. Vincent Poor, V. Krishnamurthy, 2014, IEEE Transactions on Computational Social Systems.

Partially Observed Markov Decision Processes. Problem Sets and Internet Supplement

Vikram Krishnamurthy, V. Krishnamurthy, 2016, 1604.08127.

Distributed Coalition Formation and Resource Allocation in Cognitive LTE Femto-cells

Vikram Krishnamurthy, Alireza Attar, Omid Namvar Gharehshiran, 2013 .

Stochastic Approximation Based Tracking of Correlated Equilibria for Game-Theoretic Reconfigurable Sensor Network Deployment

V. Krishnamurthy, M. Maskery, G. Yin, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Energy-Efficient Mining for Blockchain-Enabled IoT Applications. An Optimal Multiple-Stopping Time Approach

V. Krishnamurthy, Anurag Gupta, 2023, ArXiv.

Multiple Stopping Time POMDPs: Structural Results & Application in Interactive Advertising in Social Media

Vikram Krishnamurthy, Sujay Bhatt, Anup Aprem, 2017, Autom..

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

Vikram Krishnamurthy, Dejan V. Djonin, V. Krishnamurthy, 2007, IEEE Transactions on Signal Processing.

Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms

G. Yin, V. Krishnamurthy, 2021, J. Mach. Learn. Res..

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

Gang George Yin, Vikram Krishnamurthy, Cristina Ion, 2004, SIAM J. Optim..

Distributed learning in congested environments with partial information pdf

Vikram Krishnamurthy, Amir Leshem, Tomer Boyarski, 2021, ArXiv.

Efficient Inference in General Hybrid Bayesian Networks for Classification

Vikram Krishnamurthy, Ba-Ngu Vo, Mahendra Mallick, 2012 .

Social learning and bayesian games in multiagent signal processing: how do local and global decision makers interact?

H. Vincent Poor, Vikram Krishnamurthy, V. Krishnamurthy, 2013, IEEE Signal Processing Magazine.

How do local and global decision makers interact ? ] Social Learning and Bayesian Games in Multiagent Signal Processing

V. Krishnamurthy, H. Vincent, 2022 .

Bayesian Sequential Detection With Phase-Distributed Change Time and Nonlinear Penalty—A POMDP Lattice Programming Approach

Vikram Krishnamurthy, V. Krishnamurthy, 2011, IEEE Transactions on Information Theory.

How to Calibrate Your Adversary's Capabilities? Inverse Filtering for Counter-Autonomous Systems

Muralidhar Rangaswamy, Vikram Krishnamurthy, V. Krishnamurthy, 2019, IEEE Transactions on Signal Processing.

Engagement and Popularity Dynamics of YouTube Videos and Sensitivity to Meta-Data

Vikram Krishnamurthy, William Hoiles, Anup Aprem, 2017, IEEE Transactions on Knowledge and Data Engineering.

Biased model reduction by simplified Routh approximation method

V. Krishnamurthy, G. Sastry, 1987 .

Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction pdf

Vikram Krishnamurthy, V. Krishnamurthy, 2020, ArXiv.

Quickest Change Detection of Time Inconsistent Anticipatory Agents. Behavioral Economics Models in Signal Processing

Vikram Krishnamurthy, V. Krishnamurthy, 2020 .

Spatiotemporal trajectory models for metalevel target tracking

Vikram Krishnamurthy, Mustafa Fanaswala, V. Krishnamurthy, 2015, IEEE Aerospace and Electronic Systems Magazine.

Finite dimensional smoothers for MAP state estimation of bilinear systems

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 1999, IEEE Trans. Signal Process..

Optimal MAP estimation of bilinear systems via the EM algorithm

Vikram Krishnamurthy, Andrew Logothetis, Leigh A. Johnston, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Amplify-and-Forward Cooperative Diversity Wireless Networks: Model, Analysis, and Monotonicity Properties

Teerawat Issariyakul, Vikram Krishnamurthy, V. Krishnamurthy, 2009, IEEE/ACM Transactions on Networking.

Packet-Level Performance Statistics in a Wireless Network Using Amplify-and-Forward Cooperative Diversity

Dusit Niyato, Teerawat Issariyakul, Ekram Hossain, 2006, 2006 IEEE International Conference on Communications.

Simulating Complex Dynamical Systems in a Distributed Programming Environment

Vikram Krishnamurthy, E. V. Krishnamurthy, V. Krishnamurthy, 2004, NPC.

Syntactic Models for Trajectory Constrained Track-Before-Detect

Vikram Krishnamurthy, Mustafa Fanaswala, V. Krishnamurthy, 2014, IEEE Transactions on Signal Processing.

Detection of Anomalous Trajectory Patterns in Target Tracking via Stochastic Context-Free Grammars and Reciprocal Process Models

Vikram Krishnamurthy, Mustafa Fanaswala, V. Krishnamurthy, 2013, IEEE Journal of Selected Topics in Signal Processing.

Intent Inference and Syntactic Tracking with GMTI Measurements

Alex Wang, Vikram Krishnamurthy, Bhashyam Balaji, 2011, IEEE Transactions on Aerospace and Electronic Systems.

Robust Meter Placement for State Estimation in Active Distribution Systems

Vikram Krishnamurthy, José R. Martí, Mohammad Ghasemi Damavandi, 2015, IEEE Transactions on Smart Grid.

Online Reputation and Polling Systems: Data Incest, Social Learning, and Revealed Preferences

Vikram Krishnamurthy, William Hoiles, V. Krishnamurthy, 2014, IEEE Transactions on Computational Social Systems.

Biosensor Arrays for Estimating Molecular Concentration in Fluid Flows

Vikram Krishnamurthy, Maryam Abolfath Beygi, V. Krishnamurthy, 2011, IEEE Transactions on Signal Processing.

Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems

Vikram Krishnamurthy, Bo Wahlberg, Robert Mattila, 2020, IEEE Transactions on Signal Processing.

Convex Stochastic Dominance in Bayesian Localization, Filtering, and Controlled Sensing POMDPs

Vikram Krishnamurthy, V. Krishnamurthy, 2019, IEEE Transactions on Information Theory.

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

Vikram Krishnamurthy, Dejan V. Djonin, V. Krishnamurthy, 2007, IEEE Transactions on Signal Processing.

Channel Aware Multiuser Scalable Video Streaming Over Lossy Under-Provisioned Channels: Modeling and Analysis

Hassan Mansour, Panos Nasiopoulos, Vikram Krishnamurthy, 2008, IEEE Transactions on Multimedia.

Channel Aware Multi-User Scalable Video Streaming over Lossy Under-Provisioned Channels : Modeling and Analysis

V. Krishnamurthy, P. Nasiopoulos, H. Mansour, 2008 .

Modeling of Loss-Distortion in Hierarchical Prediction Codecs

P. Nasiopoulos, V. Krishnamurthy, H. Mansour, 2006, 2006 IEEE International Symposium on Signal Processing and Information Technology.

Symmetric probabilistic values for identifying informative sensors

Vikram Krishnamurthy, Farhad Ghassemi, V. Krishnamurthy, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Collaborative Sub-Channel Allocation in Cognitive LTE Femto-Cells: A Cooperative Game-Theoretic Approach

Alireza Attar, Vikram Krishnamurthy, Omid Namvar Gharehshiran, 2013, IEEE Transactions on Communications.

Utility Change Point Detection in Online Social Media: A Revealed Preference Framework

Vikram Krishnamurthy, Anup Aprem, V. Krishnamurthy, 2016, IEEE Transactions on Signal Processing.

Detection of Homophilic Communities and Coordination of Interacting Meta-Agents: A Game-Theoretic Viewpoint

Vikram Krishnamurthy, William Hoiles, Omid Namvar Gharehshiran, 2016, IEEE Transactions on Signal and Information Processing over Networks.

Reinforcement Learning and Nonparametric Detection of Game-Theoretic Equilibrium Play in Social Networks pdf

Vikram Krishnamurthy, William Hoiles, Omid Namvar Gharehshiran, 2014, ArXiv.

PAC Algorithms for Detecting Nash Equilibrium Play in Social Networks: From Twitter to Energy Markets

Vikram Krishnamurthy, William Hoiles, Anup Aprem, 2016, IEEE Access.

A generalized Langevin algorithm for studying permeation across biological ion channels

Shin-Ho Chung, D. Gordon, V. Krishnamurthy, 2008 .

A data centric approach to utility change detection in online social media

Vikram Krishnamurthy, Anup Aprem, V. Krishnamurthy, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Quantum Field Theory and Computational Paradigms

E. V. Krishnamurthy, Vikram Krishnamurthy, V. Krishnamurthy, 2001 .

State-space models using simplified Routh approximation method

V. Krishnamurthy, G. Sastry, 1987 .

Optimal Channel-Aware ALOHA Protocol for Random Access in WLANs With Multipacket Reception and Decentralized Channel State Information

Lang Tong, Vikram Krishnamurthy, Minh Hanh Ngo, 2008, IEEE Transactions on Signal Processing.

Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems

V. Krishnamurthy, Kunal Pattanayak, 2020, J. Mach. Learn. Res..

A regret-based approach to non-stationary discrete stochastic optimization

Gang George Yin, Vikram Krishnamurthy, Omid Namvar Gharehshiran, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Best-response search algorithms for non-stationary discrete stochastic optimization

Gang George Yin, Vikram Krishnamurthy, Omid Namvar Gharehshiran, 2014, 53rd IEEE Conference on Decision and Control.

Controlled information fusion with risk-averse CVaR social sensors

Vikram Krishnamurthy, Sujay Bhatt, V. Krishnamurthy, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Controlled Sequential Information Fusion With Social Sensors pdf

Vikram Krishnamurthy, Sujay Bhatt, V. Krishnamurthy, 2017, IEEE Transactions on Automatic Control.

Sequential Detection of Market Shocks With Risk-Averse CVaR Social Sensors

Vikram Krishnamurthy, Sujay Bhatt, V. Krishnamurthy, 2016, IEEE Journal of Selected Topics in Signal Processing.

Sequential Detection of Market shocks using Risk-averse Agent Based Models

Vikram Krishnamurthy, Sujay Bhatt, V. Krishnamurthy, 2015, 1511.01965.

Social Learning in a Human Society: An Experimental Study pdf

Vikram Krishnamurthy, Maziyar Hamdi, Grayden Solman, 2014, ArXiv.

Social learning and controlled sensing

Vikram Krishnamurthy, V. Krishnamurthy, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Detecting asset value dislocations in multi-agent models of market microstructure

Vikram Krishnamurthy, Anup Aryan, V. Krishnamurthy, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Quickest detection of market shocks in agent based models of the order book

Vikram Krishnamurthy, Anup Aryan, V. Krishnamurthy, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Quickest time change detection with social learning

Vikram Krishnamurthy, V. Krishnamurthy, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Quickest time detection and constrained optimal social learning with variance penalty

Vikram Krishnamurthy, V. Krishnamurthy, 2010, 49th IEEE Conference on Decision and Control (CDC).

Bayesian Sequential Detection with Phase-Distributed Change Time and Nonlinear Penalty -- A POMDP Approach

Vikram Krishnamurthy, V. Krishnamurthy, 2010, 1011.5298.

Quickest Detection with Social Learning: Interaction of local and global decision makers

V. Krishnamurthy, 2010 .

An improvement to the interacting multiple model (IMM) algorithm

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2001, IEEE Trans. Signal Process..

Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search pdf

Vikram Krishnamurthy, Kunal Pattanayak, V. Krishnamurthy, 2020, ArXiv.

Application of Machine Learning and Spatial Bootstrapping to Image Processing for Predictive Maintenance

Vikram Krishnamurthy, Kusha Nezafati, Vikrant Singh, 2019, 2019 IEEE International Conference on Big Data (Big Data).

A Distributed Coalition Game Approach to Femto-Cloud Formation

Vikram Krishnamurthy, Omid Namvar Gharehshiran, S. M. Shahrear Tanzil, 2019, IEEE Transactions on Cloud Computing.

Femto-Cloud Formation: A Coalitional Game-Theoretic Approach

Vikram Krishnamurthy, Omid Namvar Gharehshiran, S. M. Shahrear Tanzil, 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

Risk-Averse Caching Policies for YouTube Content in Femtocell Networks using Density Forecasting

William Hoiles, Vikram Krishnamurthy, S. M. Shahrear Tanzil, 2018, IEEE Transactions on Cloud Computing.

Opportunistic file transfer over a fading channel: A POMDP search theory formulation with optimal threshold policies

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2006, IEEE Transactions on Wireless Communications.

Game Theoretic Cross-Layer Transmission Policies in Multipacket Reception Wireless Networks

Vikram Krishnamurthy, Minh Hanh Ngo, V. Krishnamurthy, 2007, IEEE Transactions on Signal Processing.

Non-Cooperative Transmission Game in Wireless Networks with Multipacket Reception and Packet Priority

Vikram Krishnamurthy, Minh Hanh Ngo, V. Krishnamurthy, 2006, 2006 IEEE International Conference on Communications.

Identifying Cognitive Radars - Inverse Reinforcement Learning Using Revealed Preferences

Vikram Krishnamurthy, Bill Moran, Robin Evans, 2019, IEEE Transactions on Signal Processing.

On prolonging life-time in wireless sensor networks with application in localization: A coalitional game-theoretic approach

Vikram Krishnamurthy, Omid Namvar Gharehshiran, V. Krishnamurthy, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Decentralized Node Selection for Localization in Wireless Unattended Ground Sensor Networks

V. Krishnamurthy, F. Ghassemi, V. Krishnamurthy, 2008, 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008).

Game Theoretic Rate Adaptation for Spectrum-Overlay Cognitive Radio Networks

Vikram Krishnamurthy, Laxminarayana S. Pillutla, V. Krishnamurthy, 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

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

Qing Zhao, Yunxia Chen, Vikram Krishnamurthy, 2007, IEEE Transactions on Signal Processing.

Tuning radio resource in an overlay cognitive radio network for TCP: Greed isn't good

Teerawat Issariyakul, Vikram Krishnamurthy, Laxminarayana S. Pillutla, 2009, IEEE Communications Magazine.

Interference Diversity Gain and its Application in Multi-Channel Systems: Capacity Maximization and QoS Guarantee Strategies

Alireza Attar, Vikram Krishnamurthy, V. Krishnamurthy, 2011, IEEE Transactions on Communications.

Optimality and Complexity of Opportunistic Spectrum Access: A Truncated Markov Decision Process Formulation

Qing Zhao, Vikram Krishnamurthy, Dejan V. Djonin, 2007, 2007 IEEE International Conference on Communications.

LMS algorithms for tracking slow Markov chains with applications to hidden Markov estimation and adaptive multiuser detection

Gang George Yin, Vikram Krishnamurthy, V. Krishnamurthy, 2005, IEEE Transactions on Information Theory.

Anomalous Edge Detection in Edge Exchangeable Social Network Models

V. Krishnamurthy, Buddhika Nettasinghe, Rui Luo, 2021, ArXiv.

Multi-function radar emitter modelling: a stochastic discrete event system approach

Vikram Krishnamurthy, Simon Haykin, Fred A. Dilkes, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Performance analysis of a dynamic programming track before detect algorithm

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 2002 .

A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect pdf

Kristina Lerman, Vikram Krishnamurthy, Buddhika Nettasinghe, 2021, ArXiv.

Integrated voice/data call admission control for wireless DS-CDMA systems

H. Vincent Poor, Vikram Krishnamurthy, Sumeetpal Singh, 2002, IEEE Trans. Signal Process..

Interval Dominance based Structural Results for Markov Decision Process

V. Krishnamurthy, 2022, Autom..

Quickest Change Detection With Time Inconsistent Anticipatory Agents In Cyber-Physical Systems

Vikram Krishnamurthy, V. Krishnamurthy, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

F. Richard Yu, Vikram Krishnamurthy, V. Krishnamurthy, 2007, IEEE Transactions on Mobile Computing.

Chemical kinetics and mass transport in an ion channel based biosensor

Vikram Krishnamurthy, Bruce Cornell, Sahar M. Monfared, 2010, 49th IEEE Conference on Decision and Control (CDC).

Friendship paradox biases perceptions in directed networks

Kristina Lerman, Buddhika Nettasinghe, Nazanin Alipourfard, 2019, Nature Communications.

Average-Consensus in a Deterministic Framework—Part I: Strong Connectivity

Vikram Krishnamurthy, Kevin Topley, V. Krishnamurthy, 2012, IEEE Transactions on Signal Processing.

Average-Consensus in a Deterministic Framework— Part II: Central Connectivity

Vikram Krishnamurthy, Kevin Topley, V. Krishnamurthy, 2012, IEEE Transactions on Signal Processing.

Mobility Enhanced Smart Antenna Adaptive Sectoring for Uplink Capacity Maximization in Cdma Cellular Network

Alex Wang, Vikram Krishnamurthy, V. Krishnamurthy, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Partially Observed Markov Decision Process Multiarmed Bandits - Structural Results

Bo Wahlberg, Vikram Krishnamurthy, B. Wahlberg, 2009, Math. Oper. Res..

Optimal adaptive modulation and coding with switching costs

Robert Schober, Vikram Krishnamurthy, Arsalan Farrokh, 2009, IEEE Transactions on Communications.

Particle Filtering Combined with Interval Methods for Tracking Applications

Vikram Krishnamurthy, Ba-Ngu Vo, Mahendra Mallick, 2012 .

Spreading code optimization and adaptation in CDMA via discrete stochastic approximation

Gang George Yin, X. Wang, Vikram Krishnamurthy, 2004, IEEE Transactions on Information Theory.

“What Do Your Friends Think?”: Efficient Polling Methods for Networks Using Friendship Paradox pdf

Vikram Krishnamurthy, Buddhika Nettasinghe, V. Krishnamurthy, 2018, IEEE Transactions on Knowledge and Data Engineering.

Langevin Dynamics for Inverse Reinforcement Learning of Stochastic Gradient Algorithms pdf

Vikram Krishnamurthy, George Yin, G. Yin, 2020, ArXiv.

Real-Time Reinforcement Learning of Constrained Markov Decision Processes with Weak Derivatives

Vikram Krishnamurthy, V. Krishnamurthy, F. Abad, 2011, 1110.4946.

How to Calibrate your Enemy's Capabilities? Inverse Filtering for Counter-Autonomous Systems

Vikram Krishnamurthy, Muralidhar Rangaswamy, V. Krishnamurthy, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Delay-Aware Rate Control for Multi-User Scalable Video Streaming Over Mobile Wireless Networks

P. Nasiopoulos, V. Krishnamurthy, H. Mansour, 2008, 2008 International Wireless Communications and Mobile Computing Conference.

${Q}$-Learning Algorithms for Constrained Markov Decision Processes With Randomized Monotone Policies: Application to MIMO Transmission Control

Vikram Krishnamurthy, Dejan V. Djonin, V. Krishnamurthy, 2007, IEEE Transactions on Signal Processing.

Removal of Data Incest in Multi-agent Social Learning in Social Networks pdf

Vikram Krishnamurthy, Maziyar Hamdi, V. Krishnamurthy, 2013, ArXiv.

Mis-Information Removal in Social Networks: Constrained Estimation on Dynamic Directed Acyclic Graphs

Vikram Krishnamurthy, Maziyar Hamdi, V. Krishnamurthy, 2013, IEEE Journal of Selected Topics in Signal Processing.

Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models

Bo Wahlberg, Cristian R. Rojas, Vikram Krishnamurthy, 2017, IEEE Signal Processing Letters.

Adaptive nonlinear filters for narrow-band interference suppression in spread-spectrum CDMA systems

Vikram Krishnamurthy, Andrew Logothetis, V. Krishnamurthy, 1999, IEEE Trans. Commun..

A hidden Markov model-RPE algorithm for narrowband interference suppression in spread spectrum systems

Vikram Krishnamurthy, Leigh A. Johnston, V. Krishnamurthy, 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

Controlling Segregation in Social Network Dynamics as an Edge Formation Game pdf

Vikram Krishnamurthy, Buddhika Nettasinghe, Rui Luo, 2021, IEEE Transactions on Network Science and Engineering.

Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks

V. Krishnamurthy, Kristina Lerman, Buddhika Nettasinghe, 2020, IEEE Transactions on Network Science and Engineering.

Policy Gradient using Weak Derivatives for Reinforcement Learning

V. Krishnamurthy, Alec Koppel, Sujay Bhatt, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Policy Gradient using Weak Derivatives for Reinforcement Learning

Alec Koppel, Vikram Krishnamurthy, Sujay Bhatt, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

Gradient Based Policy Optimization of Constrained Markov Decision Processes

Vikram Krishnamurthy, V. Krishnamurthy, F. Abad, 2011 .

Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain

V. Krishnamurthy, E. Blasch, Rui Luo, 2022, ArXiv.

Mobility Enhanced Smart Antenna Adaptive Sectoring for Uplink Capacity Maximization in CDMA Cellular Network

Alex Wang, Vikram Krishnamurthy, V. Krishnamurthy, 2008, IEEE Transactions on Communications.

Particle Filtering for Mobility Enhanced Adaptive Sectoring for CDMA Uplink Capacity Maximization

Alex Wang, Vikram Krishnamurthy, V. Krishnamurthy, 2008, 2008 IEEE International Conference on Communications.

Dynamic Resource Allocation for MGS H.264/AVC Video Transmission Over Link-Adaptive Networks

Panos Nasiopoulos, Vikram Krishnamurthy, Yaser P. Fallah, 2009, IEEE Transactions on Multimedia.

Adversarial Radar Inference. From Inverse Tracking to Inverse Reinforcement Learning of Cognitive Radar

Vikram Krishnamurthy, V. Krishnamurthy, 2020, 2002.10910.

Sequential Detection With Mutual Information Stopping Cost

Robert R. Bitmead, Michel Gevers, Vikram Krishnamurthy, 2011, IEEE Transactions on Signal Processing.

Filters for estimating Markov modulated poisson processes and image-based tracking

Robert J. Elliott, Vikram Krishnamurthy, R. Elliott, 1997, Autom..

Data Gathering in Correlated Wireless Sensor Networks with Cooperative Transmission Data Gathering in Correlated Wireless Sensor Networks with Cooperative Transmission

Vikram Krishnamurthy, L. S. Pillutla, V. Krishnamurthy, 2012 .

Finite-Dimensional Filters for Passive Tracking of Markov Jump Linear Systems

Jamie S. Evans, Vikram Krishnamurthy, V. Krishnamurthy, 1998, Autom..

Signal Processing Based on Hidden Markov Models for Extracting Small Channel Currents

Vikram Krishnamurthy, Shin-Ho Chung, Shin-Ho Chung, 2007 .

Transmission Rate Adaptation in Multimedia WLAN: A Dynamic Games Approach *

Vikram Krishnamurthy, Hassan Mansour, Jane Wei Huang, 2017 .

A Dynamical Games Approach to Transmission-Rate Adaptation in Multimedia WLAN

Hassan Mansour, Vikram Krishnamurthy, Jane W. Huang, 2010, IEEE Transactions on Signal Processing.

On Optimality of Monotone Channel-Aware Transmission Policies: A Constrained Markov Decision Process Approach

Vikram Krishnamurthy, Minh Hanh Ngo, V. Krishnamurthy, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Structural Results on the Optimal Transmission Scheduling Policies and Costs for Correlated Sources and Channels

V. Krishnamurthy, D.V. Djonin, V. Krishnamurthy, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Transmission control in cognitive radio as a Markovian dynamic game: Structural result on randomized threshold policies

Vikram Krishnamurthy, Jane W. Huang, V. Krishnamurthy, 2010, IEEE Transactions on Communications.

Structural Results on Optimal Transmission Scheduling over Dynamical Fading Channels: A Constrained Markov Decision Process Approach

Vikram Krishnamurthy, D. V. Djonin, V. Krishnamurthy, 2007 .

Efficient Radio Resource Management in Integrated WLAN/CDMA Mobile Networks

Vikram Krishnamurthy, F. Richard Yu, V. Krishnamurthy, 2005, Telecommun. Syst..

Generalized Langevin models of molecular dynamics simulations with applications to ion channels.

Shin-Ho Chung, D. Gordon, V. Krishnamurthy, 2009, The Journal of chemical physics.

Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks pdf

Vikram Krishnamurthy, Rui Luo, V. Krishnamurthy, 2022, ArXiv.

Tracking a Markov-Modulated Stationary Degree Distribution of a Dynamic Random Graph

Gang George Yin, Vikram Krishnamurthy, Maziyar Hamdi, 2014, IEEE Transactions on Information Theory.

A novel use of stochastic approximation algorithms for estimating degree of each node in social networks

Vikram Krishnamurthy, Maziyar Hamdi, V. Krishnamurthy, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hidden Markov models for radar pulse train analysis in electronic warfare

Simon Haykin, Pierre Lavoie, Vikram Krishnamurthy, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Brownian Dynamics: Simulation for Ion Channel Permeation 1

Shin-Ho Chung, V. Krishnamurthy, 2007 .

Brownian Dynamics: A powerful computational tool of Ion permeation in Bio-Nanotubes

Shin-Ho Chung, V. Krishnamurthy, 2006 .

Blind equalization of IIR channels using hidden Markov models and extended least squares

Subhrakanti Dey, Vikram Krishnamurthy, J. P. LeBlanc, 1995, IEEE Trans. Signal Process..

Asymptotic analysis of an algorithm for parameter estimation and identification of 1-b quantized AR time series

H. Vincent Poor, Vikram Krishnamurthy, V. Krishnamurthy, 1996, IEEE Trans. Signal Process..

Optimal estimation of Poisson rate from discrete time observations

Robert J. Elliott, Jonathan H. Manton, Vikram Krishnamurthy, 1997, Proceedings of ICC'97 - International Conference on Communications.

Reduced spatio-temporal complexity MMPP and image-based tracking filters for maneuvering targets

Subhrakanti Dey, Vikram Krishnamurthy, V. Krishnamurthy, 2003 .

Sequential paging of mobile users in GSM cellular networks-a POMDP approach

Vikram Krishnamurthy, Sumeetpal Singh, Sumeetpal S. Singh, 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

A Methodology for Optimal Distributed Storage Planning in Smart Distribution Grids

Vikram Krishnamurthy, José R. Martí, Mohammad Ghasemi Damavandi, 2018, IEEE Transactions on Sustainable Energy.

Distributed Energy-Aware Diffusion Least Mean Squares: Game-Theoretic Learning

Gang George Yin, Vikram Krishnamurthy, Omid Namvar Gharehshiran, 2013, IEEE Journal of Selected Topics in Signal Processing.