Faculty

Institution

Unit

Venue

Venugopal Varadachari Veeravalli

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Venugopal Varadachari Veeravalli is currently serving as an Electrical And Computer Engineering Professor at Uiuc.

Honors

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Experiences

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Education

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Venugopal Varadachari Veeravalli

UIUC

Professor

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computer science signal processing wireless communications wireless networks communications systems telecommunication networks statistics computational statistics statistical inference systems engineering applied mathematics statistical methodology applied probability wireless personal communication networked system design mathematical optimization information fusion change detection wireless sensor networks channel capacity estimation sensors stochastic process distributed systems bayesian analysis sensor optimization statistical signal processing machine learning research mimo system estimation theory computational optimization multi-sensor management stochastic optimization channel characterization anomaly detection outlier detection cooperative diversity wireless sensor systems channel estimation multiuser mimo collaborative sensor network control optimization fading channels quickest detection mathematical statistics multi-user detection shift detection multiple access technique signal detection quickest change detection spectrum management wireless cooperative network sensor signal processing system safety dynamic spectrum management cooperative wireless communications sensor networks information theory convex analysis multi-sensor information fusion controlled sensing smart grid relay network resource allocation power system analysis change point uncoordinated spectrum access user dof sum capacity sensor network bayesian setting power system minimax formulations capacity region gaussian interference networks sequential detection learning algorithm convex optimization machine learning

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test. IEEE Transactions on Signal Processing (2025)

James Z. HareYuchen LiangLance KaplanVenugopal V. Veeravalli

bayesian inferenceuncertainty quantificationapplied statisticsuncertain likelihood ratiostatistical inferencebiostatisticsstatisticsinferencebayesian analysisstatistical methodologystatistical hypothesis testbayesian statisticsstatistical models

Keeping the Best: The K-Best Rule for Efficient Quickest Change Detection With Unknown Post-Change Distribution. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2025)

James Zachary HareLance KaplanVenugopal V. VeeravalliDon Towsley

systems engineeringmachine learningk-best ruleapplied probabilityunknown post-change distributiondetection techniquechange detectionmachine learning researchknowledge discoveryanomaly detectionsignal processingcomputational statisticscomputer science

Quickest Change Detection for Multiple Data Streams Using the James-Stein Estimator. IEEE Transactions on Information Theory (2025)

Topi HalmeVenugopal V. VeeravalliVisa Koivunen

quickest change detectiondata stream mininghigh-dimensional statisticsstatistical theorystreaming algorithmsmachine learning researchdata sciencejames-stein estimatordata miningapplied statisticsstatistical methodologysignal processingcomputational statisticsmultiple data streamstime serieschange detectionstatisticscomputer sciencestatistical models

Quickest Change Detection of Unknown Mean-Shifts Using the James-Stein Estimator. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2025)

Topi HalmeVenugopal V. VeeravalliVisa Koivunen

statistical signal processinghigh-dimensional statisticsapplied statisticsestimation theoryshift detectionchange detectionconcept driftstatistical inferencestatisticsstatistical methodologysignal processingjames-stein estimatorcomputational statisticsapplied mathematicsstatistical models

Adaptive Step-Size Methods for Compressed Sgd With Memory Feedback. IEEE Transactions on Signal Processing (2024)

Adarsh M. SubramaniamAkshayaa MageshVenugopal V. Veeravalli

scalabilitycomputational optimizationlarge scale optimizationcompressed sgdmemory feedbackparallel learningcomputer engineeringparallel computingadaptive step-size methodsmachine learning researchadaptive optimizationmachine learningcomputer science

Distributed and Rate-Adaptive Feature Compression. 2014 48th Asilomar Conference on Signals, Systems and Computers (2024)

Aditya DeshmukhVenugopal V. VeeravalliGunjan Verma

rate-adaptive feature compressionmachine learningmultimedia information processinglossless compressiondata compressiondata sciencecomputer science

High Probability Latency Quickest Change Detection Over a Finite Horizon. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Yu-Han HuangVenugopal V. Veeravalli

finite horizonshift detectioncomputer engineeringchange detectionstochastic processsignal processingcomputer science

On Network Quickest Change Detection With Uncertain Models: An Experimental Study. 2022 25th International Conference on Information Fusion (FUSION) (2024)

James Z. HareYuchen LiangLance M. KaplanVenugopal V. Veeravalli

uncertainty analysisuncertainty quantificationsystems engineeringnetwork analysisapplied probabilityglobal networksnetwork analyticsnetwork monitoringchange detectionexperimental studynetwork sciencedata scienceuncertain modelsnetworked system designcomputer science

Quickest Change Detection in the Presence of Covert Adversaries. MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) (2024)

A. RamtinZ. HareL. KaplanP. NainV. VeeravalliD. Towsley

information forensicsdata privacycomputer securitycovert adversariescovert channelsdata securityinformation securitycomputer scienceattack model

Quickest Change Detection With Confusing Change. 2014 48th Asilomar Conference on Signals, Systems and Computers (2024)

Yu-Zhen Janice ChenJinhang ZuoVenugopal V. VeeravalliDon Towsley

shift detectiondata miningchange detectionpattern recognitiondata scienceconfusing changecomputational statisticscomputer science

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Venugopal Varadachari Veeravalli

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Venugopal Varadachari Veeravalli is currently serving as an Electrical And Computer Engineering Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Venugopal Varadachari Veeravalli

UIUC

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test. IEEE Transactions on Signal Processing (2025)

James Z. HareYuchen LiangLance KaplanVenugopal V. Veeravalli

James Zachary HareLance KaplanVenugopal V. VeeravalliDon Towsley

Quickest Change Detection for Multiple Data Streams Using the James-Stein Estimator. IEEE Transactions on Information Theory (2025)

Topi HalmeVenugopal V. VeeravalliVisa Koivunen

Quickest Change Detection of Unknown Mean-Shifts Using the James-Stein Estimator. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2025)

Topi HalmeVenugopal V. VeeravalliVisa Koivunen

Adaptive Step-Size Methods for Compressed Sgd With Memory Feedback. IEEE Transactions on Signal Processing (2024)

Adarsh M. SubramaniamAkshayaa MageshVenugopal V. Veeravalli

Distributed and Rate-Adaptive Feature Compression. 2014 48th Asilomar Conference on Signals, Systems and Computers (2024)

Aditya DeshmukhVenugopal V. VeeravalliGunjan Verma

rate-adaptive feature compressionmachine learningmultimedia information processinglossless compressiondata compressiondata sciencecomputer science

High Probability Latency Quickest Change Detection Over a Finite Horizon. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Yu-Han HuangVenugopal V. Veeravalli

finite horizonshift detectioncomputer engineeringchange detectionstochastic processsignal processingcomputer science

On Network Quickest Change Detection With Uncertain Models: An Experimental Study. 2022 25th International Conference on Information Fusion (FUSION) (2024)

James Z. HareYuchen LiangLance M. KaplanVenugopal V. Veeravalli

Quickest Change Detection in the Presence of Covert Adversaries. MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) (2024)

A. RamtinZ. HareL. KaplanP. NainV. VeeravalliD. Towsley

information forensicsdata privacycomputer securitycovert adversariescovert channelsdata securityinformation securitycomputer scienceattack model

Quickest Change Detection With Confusing Change. 2014 48th Asilomar Conference on Signals, Systems and Computers (2024)

Yu-Zhen Janice ChenJinhang ZuoVenugopal V. VeeravalliDon Towsley

shift detectiondata miningchange detectionpattern recognitiondata scienceconfusing changecomputational statisticscomputer science

1
2
3
4
5
34
10 / page