Venugopal V. Veeravalli
Professor
Studies statistical inference and machine learning, including quickest change detection and distributed detection in sensor networks.
Venugopal V. Veeravalli's lab at UIUC works on learning theory & optimization, recognition, detection & segmentation and efficient training & inference. 12 papers since 2023, 1 at top venues, mostly JMLR. 5 PhD students. 32 alumni, most often to Qualcomm and Meta. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 8%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 32
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 0
- 4 papers2024 · T1 0
- 5 papers2023 · T1 1
T1 venuesOtherVenues: JMLR
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation5 papers
- detection5 papers
- Learning theory & optimization3 papers
- Efficient training & inference2 papers
- statistical inference0 papers
Paper list
From the lab homepage.
20261 paper
- IEEE Transactions on Signal Process- ingTrack-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing
20252 papers
- IEEE Transactions on Signal ProcessingBayesian Two-Sample Hypothesis Testing using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test
- IEEE Transactions on Information TheoryQuickest Change Detection for Multiple Data Streams Using the James-Stein Estimator
20244 papers
- IEEE Transactions on Signal ProcessingAdaptive Step-size Procedures for Compressed SGD
- Journal Applied and Computational Mathematics, Special Issue on Control, Teams, and Games honor of Prof. Tamer Bas ̧arControlling a Markov Decision Process with an Abrupt Change in the Transition Kernel
- IEEE Journal on Selected Areas Information Theory, Special Issue Dedicated to the Memory of Toby Berger: Data, Physics, and Life Through the Lens of Information TheoryQuickest Change Detection with Controlled Sensing
- IEEE Transactions on Information TheoryQuickest Change Detection with Post-Change Density Estimation
20235 papers
- IEEE Signal Processing LettersInformation Flow Optimization for Estimation in Linear Models Using a Sensor Network
- JMLR (T1)Principled Out-of-Distribution Detection via Multiple Testing
- IoT for Defense and National Security, R. Douglass, K. Gremban, S. Gerali and A. Swami, eds. John Wiley & SonsPrinciples of Robust Learning and Inference for IoBTs
- IEEE Transactions on Information TheoryQuickest Change Detection with Non-Stationary Post-Change Observations
- IEEE Transactions on Information TheoryRobust Mean Estimation in High Dimensions: An Outlier-Fraction Agnostic and Efficient Algorithm
Where alumni went32 listed, 54% to industry
Industry 15Academia 13
Most often to
- Qualcomm
- Meta
Also to
- Ohio State University
- Assistant Profressor with University of Buffalo
- McMaster University
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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Your notes
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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