A low complexity symbol timing estimator for MIMO systems using two samples per symbol. - Ketan Rajawat; Ajit Kumar Chaturvedi (IEEE Commun. Lett., 2006)

Non-Data Aided Symbol Timing Estimation in MIMO Systems. - Ketan Rajawat; Ajit Kumar Chaturvedi (ICC, 2007)

Selection Relaying at Low Signal to Noise Ratios - Ketan Rajawat; Adrish Banerjee (CoRR, 2007)

An algebraic polyphase approach to wireless network coding. - Ketan Rajawat; Tairan Wang; Georgios B. Giannakis (ICASSP, 2009)

Near optimal training sequences for low complexity symbol timing estimation in MIMO systems. - Ketan Rajawat; Ajit Kumar Chaturvedi (IEEE Trans. Commun., 2010)

Joint rate and power control for coded cognitive radio networks. - Ketan Rajawat; Emiliano Dall'Anese; Georgios B. Giannakis (ACSCC, 2011)

Cross-Layer Design of Coded Multicast for Wireless Random Access Networks. - Ketan Rajawat; Nikolaos Gatsis; Seung-Jun Kim 002; Georgios B. Giannakis (IEEE J. Sel. Areas Commun., 2011)

Cross-Layer Designs in Coded Wireless Fading Networks With Multicast. - Ketan Rajawat; Nikolaos Gatsis; Georgios B. Giannakis (IEEE/ACM Trans. Netw., 2011)

Joint Scheduling and Network Coding for Multicast in Delay-Constrained Wireless Networks. - Ketan Rajawat; Georgios B. Giannakis (IEEE Trans. Signal Process., 2011)

Semi-supervised dictionary learning for network-wide link load prediction. - Pedro A. Forero; Ketan Rajawat; Georgios B. Giannakis (CIP, 2012)

Dynamic network kriging. - Ketan Rajawat; Emiliano Dall'Anese; Georgios B. Giannakis (SSP, 2012)

Dynamic Network Cartography - Gonzalo Mateos; Ketan Rajawat (CoRR, 2012)

Network-Compressive Coding for Wireless Sensors with Correlated Data. - Ketan Rajawat; Alfonso Cano; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2012)

Dynamic Network Cartography: Advances in Network Health Monitoring. - Gonzalo Mateos; Ketan Rajawat (IEEE Signal Process. Mag., 2013)

New encoding schemes for efficient multilingual text messaging. - Ankit Jalan; Ketan Rajawat; Rajesh M. Hegde (NCC, 2014)

Dynamic Network Delay Cartography. - Ketan Rajawat; Emiliano Dall'Anese; Georgios B. Giannakis (IEEE Trans. Inf. Theory, 2014)

Prediction of Partially Observed Dynamical Processes Over Networks via Dictionary Learning. - Pedro A. Forero; Ketan Rajawat; Georgios B. Giannakis (IEEE Trans. Signal Process., 2014)

Online precoder design for parameter tracking in wireless sensor networks. - Rahul R. Singh; Ketan Rajawat (PIMRC, 2015)

Velocity-assisted multidimensional scaling. - Sandeep Kumar 005; Ketan Rajawat (SPAWC, 2015)

Channel-Aware Medium Access Control in Multichannel Cognitive Radio Networks. - Palash Katiyar; Ketan Rajawat (IEEE Commun. Lett., 2015)

Outlier-aware cooperative spectrum sensing in cognitive radio networks. - Gaurav Kapoor; Ketan Rajawat (Phys. Commun., 2015)

Distributed interference alignment for MIMO cellular network via consensus ADMM. - Sandeep Kumar 005; Ketan Rajawat (GlobalSIP, 2016)

BER-Optimized Robust Precoder Design for MIMO-OFDM Systems with Insufficient CP. - Javed Akhtar; Amrit S. Bedi; Ketan Rajawat; Aditya K. Jagannatham (GLOBECOM, 2016)

Online load scheduling under price and demand uncertainty in smart grid. - Amrit S. Bedi; Ketan Rajawat (SPCOM, 2016)

BER-Optimized Precoders for OFDM Systems With Insufficient Cyclic Prefix. - Amrit S. Bedi; Javed Akhtar; Ketan Rajawat; Aditya K. Jagannatham (IEEE Commun. Lett., 2016)

Resource Allocation and Fairness in Wireless Powered Cooperative Cognitive Radio Networks. - Sanket S. Kalamkar; Jeya Pradha Jeyaraj; Adrish Banerjee; Ketan Rajawat (IEEE Trans. Commun., 2016)

Cooperative Localization of Mobile Networks Via Velocity-Assisted Multidimensional Scaling. - Sandeep Kumar 005; Raju Kumar; Ketan Rajawat (IEEE Trans. Signal Process., 2016)

Beyond consensus and synchrony in decentralized online optimization using saddle point method. - Amrit Singh Bedi; Alec Koppel; Ketan Rajawat (ACSSC, 2017)

Optimal utilization of storage systems under real-time pricing. - Amrit S. Bedi; Md. Waseem Ahmad; Ketan Rajawat; Sandeep Anand (ICC Workshops, 2017)

Asynchronous resource allocation in distributed heterogeneous networks. - Amrit S. Bedi; Ketan Rajawat (ICC, 2017)

Distributed asynchronous localization over WSNs via non-convex consensus ADMM. - Sandeep Kumar 005; Ketan Rajawat (NCC, 2017)

Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM. - Sandeep Kumar 005; Rahul Jain 009; Ketan Rajawat (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Stochastic Multidimensional Scaling. - Ketan Rajawat; Sandeep Kumar 005 (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Adaptive Low-Rank Matrix Completion. - Ruchi Tripathi; Boda Mohan; Ketan Rajawat (IEEE Trans. Signal Process., 2017)

On Socially Optimal Traffic Flow in the Presence of Random Users. - Anant Chopra; Deepak S. Kalhan; Amrit S. Bedi; Abhishek K. Gupta; Ketan Rajawat (ANTS, 2018)

Time Varying optimization via Inexact Proximal Online Gradient Descent. - Rishabh Dixit; Amrit Singh Bedi; Ruchi Tripathi; Ketan Rajawat (ACSSC, 2018)

Asynchronous Saddle Point Method: Interference Management Through Pricing. - Amrit Singh Bedi; Alec Koppel; Ketan Rajawat (CDC, 2018)

Exact Nonparametric Decentralized Online Optimization. - Hrusikesha Pradhan; Amrit Singh Bedi; Alec Koppel; Ketan Rajawat (GlobalSIP, 2018)

Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent. - Amrit Singh Bedi; Paban Sarma; Ketan Rajawat (ICASSP, 2018)

An Online Approach to D2D Trajectory Utility Maximization Problem. - Amrit S. Bedi; Ketan Rajawat; Marceau Coupechoux (INFOCOM, 2018)

QOS-Based Antenna and User Selection in Large-Scale Fading for Massive-MIMO Systems. - Javed Akhtar; Ketan Rajawat (SPAWC, 2018)

Decentralized Asynchronous Stochastic Gradient Descent: Convergence Rate Analysis. - Amrit Singh Bedi; Hrusikesha Pradhan; Ketan Rajawat (SPCOM, 2018)

Dynamic Network Latency Prediction with Adaptive Matrix Completion. - Ruchi Tripathi; Ketan Rajawat (SPCOM, 2018)

Wireless network optimization via stochastic sub-gradient descent: Rate analysis. - Amrit Singh Bedi; Ketan Rajawat (WCNC, 2018)

Hybrid adaptive framework for coordinated control of distributed generators in cyber-physical energy systems. - Meher Preetam Korukonda; Swaroop Ranjan Mishra; Ketan Rajawat; Laxmidhar Behera (IET Cyper-Phys. Syst.: Theory & Appl., 2018)

Tracking Moving Agents via Inexact Online Gradient Descent Algorithm. - Amrit S. Bedi; Paban Sarma; Ketan Rajawat (IEEE J. Sel. Top. Signal Process., 2018)

Network Resource Allocation via Stochastic Subgradient Descent: Convergence Rate. - Amrit Singh Bedi; Ketan Rajawat (IEEE Trans. Commun., 2018)

Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation. - Amrit S. Bedi; Ketan Rajawat (IEEE Trans. Signal Process., 2018)

Distributed Sequential Estimation in Wireless Sensor Networks. - Javed Akhtar; Ketan Rajawat (IEEE Trans. Wirel. Commun., 2018)

Controlling the Bias-Variance Tradeoff via Coherent Risk for Robust Learning with Kernels. - Alec Koppel; Amrit S. Bedi; Ketan Rajawat (ACC, 2019)

Distributed Online Learning over Time-varying Graphs via Proximal Gradient Descent. - Rishabh Dixit; Amrit Singh Bedi; Ketan Rajawat; Alec Koppel (CDC, 2019)

Online Variational Bayesian Subspace Filtering. - Charul; Uttkarsha Bhatt; Pravesh Biyani; Ketan Rajawat (ICASSP, 2019)

Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges. - Srujan Teja Thomdapu; Ketan Rajawat (ICC, 2019)

Online Utility-Optimal Trajectory Design for Time-Varying Ocean Environments. - Mohan Krishna Nutalapati; Shruti Joshi; Ketan Rajawat (ICRA, 2019)

Model Free Calibration of Wheeled Robots Using Gaussian Process. - Mohan Krishna Nutalapati; Lavish Arora; Anway Bose; Ketan Rajawat; Rajesh M. Hegde (IROS, 2019)

Quality-of-Service Constrained User and Antenna Selection in Downlink Massive-MIMO Systems. - Javed Akhtar; Ketan Rajawat (WCNC Workshops, 2019)

Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I. - Sandeep Kumar 005; Ketan Rajawat; Daniel P. Palomar (CoRR, 2019)

Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony. - Amrit Singh Bedi; Alec Koppel; Ketan Rajawat; Brian M. Sadler (CoRR, 2019)

Optimally Compressed Nonparametric Online Learning. - Alec Koppel; Amrit Singh Bedi; Ketan Rajawat; Brian M. Sadler (CoRR, 2019)

Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity. - Pranay Sharma; Prashant Khanduri; Saikiran Bulusu; Ketan Rajawat; Pramod K. Varshney (CoRR, 2019)

Optimal Design of Queuing Systems via Compositional Stochastic Programming. - Srujan Teja Thomdapu; Ketan Rajawat (IEEE Trans. Commun., 2019)

Asynchronous Online Learning in Multi-Agent Systems With Proximity Constraints. - Amrit Singh Bedi; Alec Koppel; Ketan Rajawat (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks. - Amrit Singh Bedi; Alec Koppel; Ketan Rajawat (IEEE Trans. Signal Process., 2019)

Online Learning With Inexact Proximal Online Gradient Descent Algorithms. - Rishabh Dixit; Amrit Singh Bedi; Ruchi Tripathi; Ketan Rajawat (IEEE Trans. Signal Process., 2019)

Dictionary-Based Statistical Fingerprinting for Indoor Localization. - Chirag Kumar; Ketan Rajawat (IEEE Trans. Veh. Technol., 2019)

Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks. - Hrusikesha Pradhan; Amrit Singh Bedi; Alec Koppel; Ketan Rajawat (ACSSC, 2020)

Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization. - Amrit Singh Bedi; Alec Koppel; Ketan Rajawat; Brian M. Sadler (ACC, 2020)

Projection Free Dynamic Online Learning. - Deepak S. Kalhan; Amrit S. Bedi; Alec Koppel; Ketan Rajawat; Abhishek K. Gupta; Adrish Banerjee (ICASSP, 2020)

SVR-Primal Dual Method of Multipliers (PDMM) for Large-Scale Problems. - Lijanshu Sinha; Ketan Rajawat; Chirag Kumar (NCC, 2020)

Adaptive Front-end for MIMO Radar with Dynamic Matrix Completion. - Harsha Vardhan; Ruchi Tripathi; Ketan Rajawat (SPCOM, 2020)

Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction. - Prashant Khanduri; Pranay Sharma; Swatantra Kafle; Saikiran Bulusu; Ketan Rajawat; Pramod K. Varshney (CoRR, 2020)

Sparse Representations of Positive Functions via Projected Pseudo-Mirror Descent. - Abhishek Chakraborty; Ketan Rajawat; Alec Koppel (CoRR, 2020)

Distributed Optimisation With Communication Delays. - Shuubham Ojha; Ketan Rajawat (CoRR, 2020)

A Primal-Dual Framework for Decentralized Stochastic Optimization. - Ketan Rajawat; Chirag Kumar (CoRR, 2020)

Stochastic Compositional Gradient Descent under Compositional constraints. - Srujan Teja Thomdapu; Harshvardhan; Ketan Rajawat (CoRR, 2020)

Optimal placement for repair-efficient erasure codes in geo-diverse storage centres. - Lakshmi J. Mohan; Ketan Rajawat; Udaya Parampalli; Aaron Harwood (J. Parallel Distributed Comput., 2020)

Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency. - Alec Koppel; Amrit Singh Bedi; Ketan Rajawat; Brian M. Sadler (IEEE Signal Process. Mag., 2020)

Network Dissensus via Distributed ADMM. - Chirag Kumar; Ketan Rajawat (IEEE Trans. Signal Process., 2020)

Online Trajectory Optimization Using Inexact Gradient Feedback for Time-Varying Environments. - Mohan Krishna Nutalapati; Amrit Singh Bedi; Ketan Rajawat; Marceau Coupechoux (IEEE Trans. Signal Process., 2020)

Robust Transceiver Design for AF Asymmetric Two-Way MIMO Relaying. - Hrusikesha Pradhan; Rohit Budhiraja; Ketan Rajawat (IEEE Trans. Signal Process., 2020)

Projected Pseudo-Mirror Descent in Reproducing Kernel Hilbert Space. - Abhishek Chakraborty; Ketan Rajawat; Alec Koppel (ACSCC, 2021)

Conservative Stochastic Optimization: $ mathcal{O}(T^{-1/2})$ Optimality Gap with Zero Constraint Violation. - Zeeshan Akhtar; Amrit Singh Bedi; Ketan Rajawat (ACC, 2021)

Momentum based Projection Free Stochastic Optimization Under Affine Constraints. - Zeeshan Akhtar; Ketan Rajawat (ACC, 2021)

Optimizing QoS for Erasure-Coded Wireless Data Centers. - Srujan Teja Thomdapu; Ketan Rajawat (ICC, 2021)

STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning. - Prashant Khanduri; Pranay Sharma; Haibo Yang 001; Mingyi Hong 001; Jia Liu 002; Ketan Rajawat; Pramod K. Varshney (NeurIPS, 2021)

Dynamic cache management in content delivery networks. - Srujan Teja Thomdapu; Palash Katiyar; Ketan Rajawat (Comput. Networks, 2021)

Projection-Free Algorithm for Stochastic Bi-level Optimization. - Zeeshan Akhtar; Amrit Singh Bedi; Srujan Teja Thomdapu; Ketan Rajawat (CoRR, 2021)

Consistent online Gaussian process regression without the sample complexity bottleneck. - Alec Koppel; Hrusikesha Pradhan; Ketan Rajawat (Stat. Comput., 2021)

Joint User and Antenna Selection in Massive-MIMO Systems With QoS-Constraints. - Javed Akhtar; Ketan Rajawat; Vipul Gupta; Ajit Kumar Chaturvedi (IEEE Syst. J., 2021)

Online Learning Over Dynamic Graphs via Distributed Proximal Gradient Algorithm. - Rishabh Dixit; Amrit Singh Bedi; Ketan Rajawat (IEEE Trans. Autom. Control., 2021)

Adaptive Network Latency Prediction From Noisy Measurements. - Ruchi Tripathi; Ketan Rajawat (IEEE Trans. Netw. Serv. Manag., 2021)

Adaptive Kernel Learning in Heterogeneous Networks. - Hrusikesha Pradhan; Amrit Singh Bedi; Alec Koppel; Ketan Rajawat (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Conservative Stochastic Optimization With Expectation Constraints. - Zeeshan Akhtar; Amrit Singh Bedi; Ketan Rajawat (IEEE Trans. Signal Process., 2021)

Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning. - Amrit Singh Bedi; Alec Koppel; Ketan Rajawat; Panchajanya Sanyal (IEEE Trans. Signal Process., 2021)

Practical Precoding via Asynchronous Stochastic Successive Convex Approximation. - Basil M. Idrees; Javed Akhtar; Ketan Rajawat (IEEE Trans. Signal Process., 2021)

Dynamic Online Learning via Frank-Wolfe Algorithm. - Deepak S. Kalhan; Amrit Singh Bedi; Alec Koppel; Ketan Rajawat; Hamed Hassani; Abhishek K. Gupta; Adrish Banerjee (IEEE Trans. Signal Process., 2021)

A Variance Reduced Nonconvex Stochastic Optimization Framework for Online Kernel Learning. - Hrusikesha Pradhan; Ketan Rajawat (IEEECONF, 2022)

On Submodular Set Cover Problems for Near-Optimal Online Kernel Basis Selection. - Hrusikesha Pradhan; Alec Koppel; Ketan Rajawat (ICASSP, 2022)

FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. - Anis Elgabli; Chaouki Ben Issaid; Amrit Singh Bedi; Ketan Rajawat; Mehdi Bennis; Vaneet Aggarwal (ICML, 2022)

Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood. - Qiujiang Jin; Alec Koppel; Ketan Rajawat; Aryan Mokhtari (ICML, 2022)

A generalized framework for autonomous calibration of wheeled mobile robots. - Mohan Krishna Nutalapati; Lavish Arora; Anway Bose; Ketan Rajawat; Rajesh M. Hegde (Robotics Auton. Syst., 2022)

Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering. - Charul Paliwal; Uttkarsha Bhatt; Pravesh Biyani; Ketan Rajawat (IEEE Trans. Intell. Transp. Syst., 2022)

Projection-Free Stochastic Bi-Level Optimization. - Zeeshan Akhtar; Amrit Singh Bedi; Srujan Teja Thomdapu; Ketan Rajawat (IEEE Trans. Signal Process., 2022)

Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization. - Zeeshan Akhtar; Ketan Rajawat (IEEE Trans. Signal Process., 2022)

Escaping Saddle Points for Successive Convex Approximation. - Amrit Singh Bedi; Ketan Rajawat; Vaneet Aggarwal; Alec Koppel (IEEE Trans. Signal Process., 2022)

Sparse Representations of Positive Functions via First- and Second-Order Pseudo-Mirror Descent. - Abhishek Chakraborty; Ketan Rajawat; Alec Koppel (IEEE Trans. Signal Process., 2022)

Distributed Optimisation under a Weight-unbalanced Digraph. - Prateek Priyaranjan Pradhan; Arijit Sen; Mangal Kothari; Ketan Rajawat (ICARA, 2023)

Low-complexity subspace-descent over symmetric positive definite manifold. - Yogesh Darmwal; Ketan Rajawat (CoRR, 2023)

Proximal Algorithms for Smoothed Online Convex Optimization With Predictions. - Spandan Senapati; Ashwin Shenai; Ketan Rajawat (IEEE Trans. Signal Process., 2023)

Stochastic Compositional Gradient Descent Under Compositional Constraints. - Srujan Teja Thomdapu; Harsh Vardhan; Ketan Rajawat (IEEE Trans. Signal Process., 2023)

Sharpened Lazy Incremental Quasi-Newton Method. - Aakash Sunil Lahoti; Spandan Senapati; Ketan Rajawat; Alec Koppel (AISTATS, 2024)

Non-Convex Constrained Stochastic Successive Convex Approximation. - Basil M. Idrees; Lavish Arora; Ketan Rajawat (MLSP, 2024)

Analysis of Decentralized Stochastic Successive Convex Approximation for Composite Non-Convex Problems. - Shivangi Dubey Sharma; Basil M. Idrees; Ketan Rajawat (MLSP, 2024)

Communication and Energy-Aware Multi-UAV Coverage Path Planning for Networked Operations. - Mohamed Samshad; Ketan Rajawat (CoRR, 2024)

UNet: A Generic and Reliable Multi-UAV Communication and Networking Architecture for Heterogeneous Applications. - Sanku Kumar Roy; Mohamed Samshad; Ketan Rajawat (CoRR, 2024)

Optimized Gradient Tracking for Decentralized Online Learning. - Shivangi Dubey Sharma; Ketan Rajawat (IEEE Trans. Signal Process., 2024)

Low Complexity Riemannian Coordinate-Descent over Symmetric Positive Definite Matrices. - Yogesh Darmwal; Ketan Rajawat (ICASSP, 2025)

Decentralized Stochastic Successive Convex Approximation for composite non-convex problems with non-linear functional constraints. - Basil M. Idrees; Shivangi Dubey Sharma; Ketan Rajawat (ICASSP, 2025)

On Decentralized Learning with Stochastic Subspace Descent. - Shivangi Dubey Sharma; Pranay Sharma; Ketan Rajawat (ICASSP, 2025)