On Reliable Transport and Estimation of Spatio-temporal Events Using Wireless Sensor Networks. - Priyadip Ray; Pramod K. Varshney; Chilukuri K. Mohan (CISS, 2006)

A novel framework for the network-wide distributed detection problem. - Priyadip Ray; Pramod K. Varshney; Ruixin Niu (FUSION, 2007)

Subspace-based cooperative spectrum sensing for cognitive radio. - Raghavendra Rao; Qi Cheng 002; Priyadip Ray (ACSCC, 2008)

Distributed Detection in Wireless Sensor Networks Using Dynamic Sensor Thresholds. - Priyadip Ray; Pramod K. Varshney (Int. J. Distributed Sens. Networks, 2008)

Estimation of spatially distributed processes in wireless sensor networks with random packet loss. - Priyadip Ray; Pramod K. Varshney (IEEE Trans. Wirel. Commun., 2009)

Non-parametric Bayesian modeling and fusion of spatio-temporal information sources. - Priyadip Ray; Lawrence Carin (FUSION, 2011)

Radar Target Detection Framework Based on False Discovery Rate. - Priyadip Ray; Pramod K. Varshney (IEEE Trans. Aerosp. Electron. Syst., 2011)

False Discovery Rate Based Sensor Decision Rules for the Network-Wide Distributed Detection Problem. - Priyadip Ray; Pramod K. Varshney (IEEE Trans. Aerosp. Electron. Syst., 2011)

Factor Graph Based Cooperative Spectrum Sensing in Cognitive Radio over Time-Varying Channels. - Debasish Bera; Indrajit Chakrabarty; Priyadip Ray; Sant S. Pathak (VTC Spring, 2013)

Simultaneous detection and estimation based spectrum sharing in cognitive radio networks. - Jyoti Mansukhani; Priyadip Ray; Pramod K. Varshney (ACSSC, 2014)

Bayesian joint analysis of heterogeneous genomics data. - Priyadip Ray; Lingling Zheng; Joseph E. Lucas; Lawrence Carin (Bioinform., 2014)

False discovery rate based distributed detection in the presence of Byzantines. - Aditya Vempaty; Priyadip Ray; Pramod K. Varshney (IEEE Trans. Aerosp. Electron. Syst., 2014)

Heart rate estimation from photoplethysmogram during intensive physical exercise using non-parametric Bayesian factor analysis. - Sandeep D'Souza; Siddharth Jar; Mahasweta Chakraborti; Anwesha Chatterjee; Priyadip Ray (ACSSC, 2015)

Efficient wideband spectrum sensing using random projection. - Soumendu Majee; Priyadip Ray; Qi Cheng 002 (ACSSC, 2015)

Distributed Detection Over Channels with Memory. - Nilanjan Biswas; Priyadip Ray; Pramod K. Varshney (IEEE Signal Process. Lett., 2015)

Coupled Detection and Estimation Based Censored Spectrum Sharing in Cognitive Radio Networks. - Jyoti Mansukhani; Priyadip Ray; Pramod K. Varshney (IEEE Trans. Wirel. Commun., 2016)

Byzantine-Resilient locally optimum detection using collaborative autonomous networks. - Bhavya Kailkhura; Priyadip Ray; Deepak Rajan; Anton Yen; Peter D. Barnes Jr.; Ryan A. Goldhahn (CAMSAP, 2017)

Successful one way data communication probability of energy harvesting cognitive relay network with spatially random primary users. - Anupam Shome; Saswat Chakrabarti; Priyadip Ray (PIMRC, 2017)

Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines. - Qunwei Li; Bhavya Kailkhura; Ryan A. Goldhahn; Priyadip Ray; Pramod K. Varshney (CoRR, 2017)

Joint transmit power and sensing duration optimization for MIMO cognitive radios. - Asim Anand; Priyadip Ray; Qi Cheng 002 (Phys. Commun., 2017)

Traffic-Aware Green Cognitive Radio. - Washim Uddin Mondal; Sudipta Biswas; Goutam Das 001; Priyadip Ray (Phys. Commun., 2017)

Linear Detection of a Weak Signal in Additive Cauchy Noise. - Siva Ram Krishna Vadali; Priyadip Ray; Subrahmanyam Mula; Pramod K. Varshney (IEEE Trans. Commun., 2017)

Optimal resource allocation in a price based opportunistic cognitive radio network. - Nilanjan Biswas; Goutam Das; Priyadip Ray (WCNC, 2018)

Optimal Hybrid Spectrum Sensing Under Control Channel Usage Constraint. - Nilanjan Biswas; Goutam Das 001; Priyadip Ray (IEEE Trans. Signal Process., 2018)

Simultaneous Detection and Channel Estimation for Censoring-Based Spectrum Sensing in Cognitive Radio Networks. - Jyoti Mansukhani; Priyadip Ray (IEEE Wirel. Commun. Lett., 2018)

Variational Bayes Based Multiuser Detection for On-Off Random Access Channels. - Rituraj Singh Jodha; Priyadip Ray (Wirel. Pers. Commun., 2018)

Performance Analysis of Energy Harvesting Underlay Cooperative Cognitive Radio Relay Networks with Randomly Located Nodes. - Anupam Shome; Amit Kumar Dutta; Saswat Chakrabarti; Priyadip Ray (CoRR, 2019)

Buffer-aided Resource Allocation for a Price Based Opportunistic Cognitive Radio Network. - Nilanjan Biswas; Goutam Das; Priyadip Ray (CoRR, 2019)

Regularized Sparse Gaussian Processes. - Rui Meng; Herbert K. H. Lee; Braden Soper; Priyadip Ray (CoRR, 2019)

Bayesian multitask learning regression for heterogeneous patient cohorts. - André R. Gonçalves 001; Priyadip Ray; Braden Soper; David P. Widemann; Mari Nygård; Jan F. Nygård; Ana Paula Sales (J. Biomed. Informatics X, 2019)

Link Adaptation Schemes Based on Parametric Estimation of SNR Distribution Over Nakagami- $m$ Fading Channels. - Karthik Mohan K.; Suvra Sekhar Das; Priyadip Ray (IEEE Trans. Commun., 2019)

Censored Spectrum Sharing Strategy for MIMO Systems in Cognitive Radio Networks. - Jyoti Mansukhani; Priyadip Ray (IEEE Trans. Wirel. Commun., 2019)

Uniformly Most Powerful CFAR Test for Pareto-Target Detection in Pareto Distributed Clutter. - John Bob Gali; Priyadip Ray; Goutam Das (NCC, 2020)

Attend and Decode: 4D fMRI Task State Decoding Using Attention Models. - Sam Nguyen; Brenda Ng; Alan David Kaplan; Priyadip Ray (ML4H@NeurIPS, 2020)

Area Efficient VLSI Architectures for Weak Signal Detection in Additive Generalized Cauchy Noise. - Siva Ram Krishna Vadali; Subrahmanyam Mula; Priyadip Ray; Saswat Chakrabarti (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks. - Jose Cadena; Priyadip Ray; Ryan A. Goldhahn (ACSCC, 2021)

Nonstationary multivariate Gaussian processes for electronic health records. - Rui Meng; Braden Soper; Herbert K. H. Lee; Vincent X. Liu; John D. Greene; Priyadip Ray (J. Biomed. Informatics, 2021)

Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks. - Jose Cadena; Priyadip Ray; Hao Chen 001; Braden Soper; Deepak Rajan; Anton Yen; Ryan A. Goldhahn (IEEE Trans. Signal Process., 2021)

Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling. - Braden C. Soper; Priyadip Ray; Jose Cadena; Hao Chen 001; Ryan A. Goldhahn (IEEECONF, 2022)

Dynamic modeling of hospitalized COVID-19 patients reveals disease state-dependent risk factors. - Braden C. Soper; Jose Cadena; Sam Nguyen; Kwan Ho Ryan Chan; Paul Kiszka; Lucas Aaron Womack; Mark Work; Joan M. Duggan; Steven T. Haller; Jennifer A. Hanrahan; David J. Kennedy; Deepa Mukundan; et al. (J. Am. Medical Informatics Assoc., 2022)

Unsupervised probabilistic models for sequential Electronic Health Records. - Alan David Kaplan; John D. Greene; Vincent X. Liu; Priyadip Ray (J. Biomed. Informatics, 2022)

Buffer-Aware User Selection and Resource Allocation for an Opportunistic Cognitive Radio Network: A Cross-Layer Approach. - Nilanjan Biswas; Goutam Das 001; Priyadip Ray (IEEE/ACM Trans. Netw., 2022)

Robust Decentralized Learning Using ADMM With Unreliable Agents. - Qunwei Li; Bhavya Kailkhura; Ryan A. Goldhahn; Priyadip Ray; Pramod K. Varshney (IEEE Trans. Signal Process., 2022)

Sequential Inference of Hospitalization ElectronicHealth Records Using Probabilistic Models. - Alan David Kaplan; Priyadip Ray; John D. Greene; Vincent X. Liu (CoRR, 2024)

GLRT Based Adaptive-Thresholding for CFAR-Detection of Pareto-Target in Pareto-Distributed Clutter. - John Bob Gali; Priyadip Ray; Goutam Das (J. Signal Process. Syst., 2024)

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics. - Haonan Zhu; Mary Silva; Jose Cadena; Braden Soper; Michal Lisicki; Braian Peetoom; Sergio E. Baranzini; Shivshankar Sundaram; Priyadip Ray; Jeff Drocco (CoRR, 2025)