Pramod K. Varshney

ORCID

Publication Activity (10 Years)

Years Active: 1977-2024
Publications (10 Years): 305

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

IEEE Signal Process. Lett.

Publications

Ayush Kumar Dwivedi, Sachin Chaudhari, Neeraj Varshney, Pramod K. Varshney
Performance Analysis of LEO Satellite-Based IoT Networks in the Presence of Interference. IEEE Internet Things J. 11 (5) (2024)
Juan Hu, Lei Zuo, Pramod K. Varshney, Yongchan Gao
Resource Allocation for Distributed Multitarget Tracking in Radar Networks With Missing Data. IEEE Trans. Signal Process. 72 (2024)
Nandan Sriranga, Baocheng Geng, Pramod K. Varshney
Sequential Processing of Observations in Human Decision-Making Systems. CoRR (2023)
Anthony Trezza, Donald J. Bucci Jr., Pramod K. Varshney
On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking. FUSION (2023)
Chengxi Li, Gang Li, Xueqian Wang, Pramod K. Varshney
A Copula-Based Method for Change Detection With Multisensor Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Haiqi Liu, Jiajie Sun, Xuqi Zhang, Fanqin Meng, Xiaojing Shen, Pramod K. Varshney
On Communication-Efficient Multisensor Track Association via Measurement Transformation (Extended Version). CoRR (2023)
Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Baocheng Geng, Pramod K. Varshney
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities. CoRR (2023)
Nandan Sriranga, Baocheng Geng, Pramod K. Varshney
Sequential Processing of Observations in Human Decision-Making Systems. FUSION (2023)
Jiajie Sun, Zhiguo Wang, Xiaojing Shen, Pramod K. Varshney
Optimal Power Allocation Under Different Power Availability Scenarios for Multitarget Tracking With C-MIMO Radar Systems. IEEE Trans. Signal Process. 71 (2023)
Chen Quan, Saikiran Bulusu, Baocheng Geng, Yunghsiang S. Han, Nandan Sriranga, Pramod K. Varshney
On Ordered Transmission Based Distributed Gaussian Shift-in-Mean Detection Under Byzantine Attacks. IEEE Trans. Signal Process. 71 (2023)
Chen Quan, Baocheng Geng, Yunghsiang S. Han, Pramod K. Varshney
Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks. CISS (2023)
Saikiran Bulusu, Venkata Gandikota, Pramod K. Varshney
1-Bit Compressed Sensing with Local Sparsity Patterns. ISIT (2023)
Chen Quan, Nandan Sriranga, Haodong Yang, Yunghsiang S. Han, Baocheng Geng, Pramod K. Varshney
Efficient Ordered-Transmission Based Distributed Detection Under Data Falsification Attacks. IEEE Signal Process. Lett. 30 (2023)
Chang Gao, Junkun Yan, Bo Chen, Pramod K. Varshney, Tianyi Jia, Hongwei Liu
Data association for maneuvering targets through a combined siamese network and XGBoost model. Signal Process. 211 (2023)
Guoxin Zhang, Wei Yi, Pramod K. Varshney, Lingjiang Kong
Direct Target Localization With Quantized Measurements in Noncoherent Distributed MIMO Radar Systems. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Anthony Trezza, Donald J. Bucci Jr., Pramod K. Varshney
On Gibbs Sampling Architecture for Labeled Random Finite Sets Multi-Object Tracking. CoRR (2023)
Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney
Anomaly Detection via Learning-Based Sequential Controlled Sensing. CoRR (2023)
Ruixin Niu, Pramod K. Varshney
Designing Local Quantizers for Distributed Detection of a Source With Unknown Location. IEEE Commun. Lett. 27 (11) (2023)
Ailiya, Wei Yi, Pramod K. Varshney
Adaptation of Frequency Hopping Interval for Radar Anti-Jamming Based on Reinforcement Learning. IEEE Trans. Veh. Technol. 71 (12) (2022)
Jun Sun, Wei Yi, Pramod K. Varshney, Lingjiang Kong
Resource Scheduling for Multi-Target Tracking in Multi-Radar Systems With Imperfect Detection. IEEE Trans. Signal Process. 70 (2022)
Baocheng Geng, Qunwei Li, Pramod K. Varshney
Human Decision Making with Bounded Rationality. ICASSP (2022)
Ye Yuan, Wei Yi, Pramod K. Varshney
Exponential Mixture Density Based Approximation to Posterior Cramr-Rao Lower Bound for Distributed Target Tracking. IEEE Trans. Signal Process. 70 (2022)
Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. ICML (2022)
Chen Quan, Yunghsiang S. Han, Baocheng Geng, Pramod K. Varshney
Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantine. CoRR (2022)
Wael A. Hashlamoun, Swastik Brahma, Pramod K. Varshney
Distributed Detection with Multiple Sensors in the Presence of Sybil Attacks. GLOBECOM (2022)
Baocheng Geng, Chen Quan, Tianyun Zhang, Makan Fardad, Pramod K. Varshney
Loss Attitude Aware Energy Management for Signal Detection. IEEECONF (2022)
Chen Quan, Yunghsiang S. Han, Baocheng Geng, Pramod K. Varshney
Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantines. IEEECONF (2022)
Chengxi Li, Gang Li, Pramod K. Varshney
Federated Learning With Soft Clustering. IEEE Internet Things J. 9 (10) (2022)
Anthony Trezza, Donald J. Bucci, Pramod K. Varshney
Multi-Sensor Joint Adaptive Birth Sampler for Labeled Random Finite Set Tracking. IEEE Trans. Signal Process. 70 (2022)
Chengxi Li, Gang Li, Pramod K. Varshney
Decentralized Federated Learning via Mutual Knowledge Transfer. IEEE Internet Things J. 9 (2) (2022)
Victor Wattin Håkansson, Naveen K. D. Venkategowda, Stefan Werner, Pramod K. Varshney
Optimal Scheduling of Multiple Spatiotemporally Dependent Observations for Remote Estimation Using Age of Information. IEEE Internet Things J. 9 (20) (2022)
Geethu Joseph, Pramod K. Varshney
State Estimation of Linear Systems With Sparse Inputs and Markov-Modulated Missing Outputs. EUSIPCO (2022)
Baocheng Geng, Xiancheng Cheng, Swastik Brahma, David Kellen, Pramod K. Varshney
Collaborative Human Decision Making With Heterogeneous Agents. IEEE Trans. Comput. Soc. Syst. 9 (2) (2022)
Saikiran Bulusu, Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers. NeurIPS (2022)
Baocheng Geng, Pramod K. Varshney
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities. CIC (2022)
Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney
Robust Decentralized Learning Using ADMM With Unreliable Agents. IEEE Trans. Signal Process. 70 (2022)
Nandan Sriranga, Anthony Trezza, Saikiran Bulusu, Donald J. Bucci, Pramod K. Varshney
Online Identification of Recurring Changepoints. IEEECONF (2022)
Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney
Monitoring and Anomaly Detection Actor-Critic Based Controlled Sensing. CoRR (2022)
Chen Quan, Baocheng Geng, Yunghsiang S. Han, Pramod K. Varshney
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Ruiying Lu, Bo Chen, Jianqiao Sun, Wenchao Chen, Penghui Wang, Yuanwei Chen, Hongwei Liu, Pramod K. Varshney
Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Signal Process. 16 (4) (2022)
Chengxi Li, Gang Li, Pramod K. Varshney
Distributed detection of sparse signals with censoring sensors in clustered sensor networks. Inf. Fusion (2022)
Chengxi Li, Gang Li, Pramod K. Varshney
Robust Federated Opportunistic Learning in the Presence of Label Quality Disparity. IEEE Internet Things J. 9 (13) (2022)
Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. CoRR (2022)
Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing. CoRR (2021)
Domenico Ciuonzo, Pierluigi Salvo Rossi, Pramod K. Varshney
Distributed Detection in Wireless Sensor Networks Under Multiplicative Fading via Generalized Score Tests. IEEE Internet Things J. 8 (11) (2021)
Sabrina Bourmani, François-Xavier Socheleau, Dominique Pastor, Prashant Khanduri, Pramod K. Varshney
On Distributed Detection with Random Distortion Testing. ISIVC (2021)
Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney
Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing. GLOBECOM (2021)
Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy, Pramod K. Varshney
Controllability of Network Opinion in Erdös-Rényi Graphs Using Sparse Control Inputs. SIAM J. Control. Optim. 59 (3) (2021)
Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing. ICC (2021)
Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney
Byzantine Resilient Distributed Clustering with Redundant Data Assignment. ISIT (2021)
Chengxi Li, Gang Li, Pramod K. Varshney
Communication-Efficient Federated Learning Based on Compressed Sensing. IEEE Internet Things J. 8 (20) (2021)
Saikiran Bulusu, Prashant Khanduri, Swatantra Kafle, Pranay Sharma, Pramod K. Varshney
Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci, Pramod K. Varshney
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit. ACSCC (2021)
Baocheng Geng, Quan Chen, Pramod K. Varshney
Cognitive Memory Constrained Human Decision Making based on Multi-source Information. ICASSP (2021)
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. NeurIPS (2021)
Geethu Joseph, Pramod K. Varshney
Measurement Bounds for Compressed Sensing in Sensor Networks With Missing Data. IEEE Trans. Signal Process. 69 (2021)
Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang, Yi Zhou, Yingbin Liang, Thomas Yong-Jin Han, Pramod K. Varshney
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. SIAM J. Math. Data Sci. 3 (4) (2021)
Chen Quan, Baocheng Geng, Yunghsiang S. Han, Pramod K. Varshney
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks. CoRR (2021)
Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing. CoRR (2021)
Anthony Trezza, Donald J. Bucci Jr., Pramod K. Varshney
Multi-sensor Joint Adaptive Birth Sampler for Labeled Random Finite Set Tracking. CoRR (2021)
Xiancheng Cheng, Baocheng Geng, Prashant Khanduri, Baixiao Chen, Pramod K. Varshney
Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks. IEEE Signal Process. Lett. 28 (2021)
Animesh Yadav, Chen Quan, Pramod K. Varshney, H. Vincent Poor
On Performance Comparison of Multi-Antenna HD-NOMA, SCMA, and PD-NOMA Schemes. IEEE Wirel. Commun. Lett. 10 (4) (2021)
Haiqi Liu, Xiaojing Shen, Zhiguo Wang, Fanqin Meng, Junfeng Wang, Pramod K. Varshney
Randomized Multiple Model Multiple Hypothesis Tracking. CoRR (2021)
Xiancheng Cheng, Prashant Khanduri, Baixiao Chen, Pramod K. Varshney
Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network. IEEE Trans. Signal Process. 69 (2021)
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. CoRR (2021)
Chen Quan, Baocheng Geng, Pramod K. Varshney
On Strategic Jamming in Distributed Detection Networks. ICASSP (2021)
Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney
Anomaly Detection via Controlled Sensing and Deep Active Inference. CoRR (2021)
Ye Yuan, Wei Yi, Reza Hoseinnezhad, Pramod K. Varshney
Robust Power Allocation for Resource-Aware Multi-Target Tracking With Colocated MIMO Radars. IEEE Trans. Signal Process. 69 (2021)
Swatantra Kafle, Geethu Joseph, Pramod K. Varshney
One-Bit Compressed Sensing Using Untrained Network Prior. ICASSP (2021)
Kunwar Pritiraj Rajput, Yogesh Verma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Pramod K. Varshney
Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks Under CSI Uncertainty. IEEE Trans. Veh. Technol. 70 (8) (2021)
Baocheng Geng, Qunwei Li, Pramod K. Varshney
Utility-Theory-Based Optimal Resource Consumption for Inference in IoT Systems. IEEE Internet Things J. 8 (15) (2021)
Zhengjue Wang, Bo Chen, Ruiying Lu, Hao Zhang, Hongwei Liu, Pramod K. Varshney
FusionNet: An Unsupervised Convolutional Variational Network for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Image Process. 29 (2020)
Ranning Wang, Animesh Yadav, Esraa A. Makled, Octavia A. Dobre, Ruiqin Zhao, Pramod K. Varshney
Optimal Power Allocation for Full-Duplex Underwater Relay Networks With Energy Harvesting: A Reinforcement Learning Approach. IEEE Wirel. Commun. Lett. 9 (2) (2020)
Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney
Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning. SPAWC (2020)
Chen Quan, Baocheng Geng, Pramod K. Varshney
Asymptotic Performance In Heterogeneous Human-machine Inference Networks. ACSSC (2020)
Chengxi Li, Gang Li, Pramod K. Varshney
Distributed Detection of Sparse Signals With Censoring Sensors Via Locally Most Powerful Test. IEEE Signal Process. Lett. 27 (2020)
Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction. CoRR (2020)
Chengxi Li, Gang Li, Pramod K. Varshney
Decentralized Federated Learning via Mutual Knowledge Transfer. CoRR (2020)
Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney
On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines. ICASSP (2020)
Mangqing Guo, Mustafa Cenk Gursoy, Pramod K. Varshney
Sparse Activity Detection in Cell-Free Massive MIMO systems. ISIT (2020)
Geethu Joseph, Swatantra Kafle, Pramod K. Varshney
One-Bit Compressed Sensing Using Generative Models. ICASSP (2020)
Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci Jr., Pramod K. Varshney
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit. CoRR (2020)
Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy, Pramod K. Varshney
Controllability of Network Opinion in Erdős-Rényi Graphs using Sparse Control Inputs. CoRR (2020)
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song
Anomalous Instance Detection in Deep Learning: A Survey. CoRR (2020)
Baocheng Geng, Swastik Brahma, Thakshila Wimalajeewa, Pramod K. Varshney, Muralidhar Rangaswamy
Prospect Theoretic Utility Based Human Decision Making in Multi-Agent Systems. IEEE Trans. Signal Process. 68 (2020)
Akhil Singh, Sai Praneeth Chokkarapu, Sachin Chaudhari, Pramod K. Varshney
Copula-Based Cooperative Sensing of OFDM Signals in Cognitive Radios. COMSNETS (2020)
Pranay Sharma, Donald J. Bucci, Swastik K. Brahma, Pramod K. Varshney
Communication Network Topology Inference via Transfer Entropy. IEEE Trans. Netw. Sci. Eng. 7 (1) (2020)
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred O. Hero III, Pramod K. Varshney
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning. CoRR (2020)
Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework. CoRR (2020)
Geethu Joseph, Mustafa Cenk Gursoy, Pramod K. Varshney
Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning. CoRR (2020)
Nandan Sriranga, Baocheng Geng, Pramod K. Varshney
On Human Assisted Decision Making for Machines Using Correlated Observations. ACSSC (2020)
Chengxi Li, Gang Li, Pramod K. Varshney
Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy. IEEE Trans. Signal Process. 68 (2020)
Yen-Ming Chen, Feng-Tsang Wu, Chih-Peng Li, Pramod K. Varshney
On the Design of Near-Optimal Variable-Length Error-Correcting Codes for Large Source Alphabets. IEEE Trans. Commun. 68 (12) (2020)
Fanqin Meng, Xiaojing Shen, Zhiguo Wang, Haiqi Liu, Junfeng Wang, Yunmin Zhu, Pramod K. Varshney
Multiple-source ellipsoidal localization using acoustic energy measurements. Autom. 112 (2020)
Shan Zhang, Prashant Khanduri, Pramod K. Varshney
Distributed Sequential Detection: Dependent Observations and Imperfect Communication. IEEE Trans. Signal Process. 68 (2020)
Chengxi Li, Gang Li, Pramod K. Varshney
Distributed Detection of Sparse Stochastic Signals With 1-Bit Data in Tree-Structured Sensor Networks. IEEE Trans. Signal Process. 68 (2020)
Geethu Joseph, Pramod K. Varshney
Measurement Bounds for Compressed Sensing with Missing Data. SPAWC (2020)
Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney
Anomaly Detection via Controlled Sensing and Deep Active Inference. GLOBECOM (2020)
Animesh Yadav, Chen Quan, Pramod K. Varshney, H. Vincent Poor
On Performance Comparison of Multi-Antenna HD-NOMA, SCMA and PD-NOMA Schemes. CoRR (2020)

Pramod K. Varshney.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Pramod K. Varshney