Vikram Krishnamurthy

About

Vikram Krishnamurthy is a Professor in the School of Electrical and Computer Engineering at Cornell University. His research interests include statistical signal processing and stochastic optimization/control in social networks and adaptive sensing with applications to radar signal processing. He is an IEEE Fellow, served as Distinguished Lecturer for the IEEE Signal Processing Society and Editor in Chief of IEEE Journal Selected Topics on Signal Processing. In 2013, he was awarded an Honorary Doctorate from KTH (Royal Institute of Technology), Sweden. He is author of two books, namely, Partially Observed Markov Decision Processes, and Dynamics of Engineered Artificial Membranes and Biosensors, published by Cambridge University Press in 2016 and 2018, respectively.

Employment

• Cornell University

Education

• Australian National University PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (33)

• Approximate MLE of High-Dimensional STAP Covariance Matrices With Banded and Spiked Structure—A Convex Relaxation Approach
  IEEE Transactions on Aerospace and Electronic Systems 2026 DOI: 10.1109/TAES.2025.3636131
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• Mitigating Misinformation Spread in Blockchain-Based Online Social Networks
  IEEE Transactions on Computational Social Systems 2026 DOI: 10.1109/TCSS.2025.3598599
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• Multiagent Inverse Reinforcement Learning for Radar-Based Detection of Pareto-Efficient UAV Coordination
  IEEE Transactions on Aerospace and Electronic Systems 2026 DOI: 10.1109/TAES.2026.3666438
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• Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning Using Passive Langevin Dynamics
  IEEE Transactions on Information Theory 2025 DOI: 10.1109/TIT.2025.3555479
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• Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars
  IEEE Transactions on Aerospace and Electronic Systems 2025 DOI: 10.1109/TAES.2024.3447635
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• Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3538599
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• Estimating Exposure to Information on Social Networks
  ACM Transactions on Social Computing 2024 DOI: 10.1145/3688599
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• Interpretable Deep Image Classification Using Rationally Inattentive Utility Maximization
  IEEE Journal of Selected Topics in Signal Processing 2024 DOI: 10.1109/JSTSP.2024.3381335
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• Fréchet-Statistics-Based Change Point Detection in Dynamic Social Networks
  IEEE Transactions on Computational Social Systems 2024 DOI: 10.1109/TCSS.2023.3297233
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• Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models
  IEEE Transactions on Computational Social Systems 2024 DOI: 10.1109/TCSS.2024.3432600
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