Faculty

Institution

Unit

Venue

Kamiar Rad

Assistant Professor of Statistics

CUNY--Baruch College

Affiliations

CUNY--Baruch College

Zicklin School of Business

Department Of Business Analytics

Paul H. Chook Department Of Information Systems And Statistics

Department of Information Systems and Statistics

Kamiar Rad is currently serving as a Cuny--Baruch College Assistant Professor of Statistics at Cuny--Baruch College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Kamiar Rad

CUNY--Baruch College

Assistant Professor of Statistics

You can click a keyword to filter the displayed items

applied mathematics neuroscience machine learning computer science signal processing sparse representations mathematics computational neuroscience network analysis digital signal processing signal reconstruction perturbation methods network science cognitive neuroscience neural computation computational imaging machine learning research numerical algorithms convex analysis bayesian analysis statistical methodology information fusion computational statistics network management parameter estimation compressive sensing audio signal processing quantization (signal processing) atomic decomposition information theory particle technology state estimation dimensionality reduction higher dimensional problems high-dimensional method state-space models neural data mean-field approximations generalized linear model coupled populations markov refractoriness gaussian process methods adaptive estimation sharp sufficient conditions large neural populations information rates optimal decoding sparse superposition codes sharp upper bound function data scalable bayesian analysis statistics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Robust and Scalable Bayesian Analysis of Spatial Neural Tuning Function Data. Project Euclid (Cornell University) (2017)

Kamiar Rahnama RadTimothy A. MachadoLiam Paninski

function dataapplied statisticsscalable bayesian analysisbayesian analysisstatisticsstatistical methodologydata scienceapplied mathematicsmachine learning

Fast Kalman Filtering and Forward–Backward Smoothing via a Low-Rank Perturbative Approach. Figshare (2014)

EA PnevmatikakisKR RadJ HugginsL Paninski

machine learningkalman filteringcomputer visionforward-backward smoothingapplied mathematicscomputer scienceneuroscienceperturbation methodsstate estimation

Reaching Consensus With Increasing Information. IEEE Journal of Selected Topics in Signal Processing (2013)

Pooya MolaviAli JadbabaieKamiar Rahnama RadAlireza Tahbaz-Salehi

digital signal processingaudio signal processingsignal processingapplied mathematics

On Consensus and Exponentially Fast Social Learning. 2022 American Control Conference (ACC) (2012)

P. MolaviK. R. RadA. Tahbaz-SalehiA. Jadbabaie

Robust Particle Filters via Sequential Pairwise Reparameterized Gibbs Sampling. (2012)

Liam PaninskiKamiar Rahnama RadMichael Vidne

particle technologysamplingdata sciencerobust particle filters

Fast Kalman Filtering via a Low-Rank Perturbative Approach. (2011)

L PaninskiKR RadJ Huggins

systems engineeringperturbation methodsnumerical analysis

High Dimensional Information Processing. Columbia Academic Commons (Columbia University) (2011)

information fusionhigh-dimensional statisticsdimensionality reductiondata mininghigher dimensional problemshigh-dimensional methoddata sciencecomputational statisticsmachine learningcomputer science

Information Rates and Optimal Decoding in Large Neural Populations. (2011)

Kamiar R. RadLiam Paninski

large neural populationsinformation ratesoptimal decodingneuroscience

Nearly Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery. IEEE Transactions on Information Theory (2011)

computational imagingsparse representationscompressive sensingdigital signal processingsignal reconstructionapplied mathematicssharp sufficient conditionsapproximation theorymathematics

Distributed Parameter Estimation in Networks. 2021 60th IEEE Conference on Decision and Control (CDC) (2010)

Kamiar Rahnama RadAlireza Tahbaz-Salehi

network managementparameter estimationnetwork scienceapplied mathematicsnetwork analysis

1
2
10 / page

Kamiar Rad

Assistant Professor of Statistics

CUNY--Baruch College

Affiliations

CUNY--Baruch College

Zicklin School of Business

Department Of Business Analytics

Paul H. Chook Department Of Information Systems And Statistics

Department of Information Systems and Statistics

Kamiar Rad is currently serving as a Cuny--Baruch College Assistant Professor of Statistics at Cuny--Baruch College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Kamiar Rad

CUNY--Baruch College

Assistant Professor of Statistics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Robust and Scalable Bayesian Analysis of Spatial Neural Tuning Function Data. Project Euclid (Cornell University) (2017)

Kamiar Rahnama RadTimothy A. MachadoLiam Paninski

function dataapplied statisticsscalable bayesian analysisbayesian analysisstatisticsstatistical methodologydata scienceapplied mathematicsmachine learning

Fast Kalman Filtering and Forward–Backward Smoothing via a Low-Rank Perturbative Approach. Figshare (2014)

EA PnevmatikakisKR RadJ HugginsL Paninski

machine learningkalman filteringcomputer visionforward-backward smoothingapplied mathematicscomputer scienceneuroscienceperturbation methodsstate estimation

Reaching Consensus With Increasing Information. IEEE Journal of Selected Topics in Signal Processing (2013)

Pooya MolaviAli JadbabaieKamiar Rahnama RadAlireza Tahbaz-Salehi

digital signal processingaudio signal processingsignal processingapplied mathematics

On Consensus and Exponentially Fast Social Learning. 2022 American Control Conference (ACC) (2012)

P. MolaviK. R. RadA. Tahbaz-SalehiA. Jadbabaie

Robust Particle Filters via Sequential Pairwise Reparameterized Gibbs Sampling. (2012)

Liam PaninskiKamiar Rahnama RadMichael Vidne

particle technologysamplingdata sciencerobust particle filters

Fast Kalman Filtering via a Low-Rank Perturbative Approach. (2011)

L PaninskiKR RadJ Huggins

systems engineeringperturbation methodsnumerical analysis

High Dimensional Information Processing. Columbia Academic Commons (Columbia University) (2011)

information fusionhigh-dimensional statisticsdimensionality reductiondata mininghigher dimensional problemshigh-dimensional methoddata sciencecomputational statisticsmachine learningcomputer science

Information Rates and Optimal Decoding in Large Neural Populations. (2011)

Kamiar R. RadLiam Paninski

large neural populationsinformation ratesoptimal decodingneuroscience

Nearly Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery. IEEE Transactions on Information Theory (2011)

computational imagingsparse representationscompressive sensingdigital signal processingsignal reconstructionapplied mathematicssharp sufficient conditionsapproximation theorymathematics

Distributed Parameter Estimation in Networks. 2021 60th IEEE Conference on Decision and Control (CDC) (2010)

Kamiar Rahnama RadAlireza Tahbaz-Salehi

network managementparameter estimationnetwork scienceapplied mathematicsnetwork analysis

1
2
10 / page