Ketan Rajawat

• Advertisement for post-doctoral positions at Gangwal School of Medical Science and Technology.
• Looking for hard-working PhD students with good background in mathematics, particularly linear algebra - please send me an email or come to my office ACES 307 any day 12-1pm.
• No short term projects/internships are available.
• How to ensure that I write a good recommendation for you
• Talented students wanted with experience in (a) embedded C++ (b) Robot Operating System (ROS), and (c) basic digital communications. Well-paid positions of 6+ months are also available for capable candidates.
• Students wanted with experience in NS3 simulation and backend development. Both paid positions and internships are available.
  

• Awards
• Prof. Arakare Vasudev Faculty Research Fellow, 2023-2026
• P. K. Kelkar Young Faculty Research Fellow, 2018-2021
• INSA Young Scientist, 2018
• INAE Young Engineer, 2019
• "Exemplary Reviewer" for IEEE Transactions on Wireless Communications in 2018

• Editorship
• Associate Editor, IEEE Communication Letters, 2019-2022
• Associate Editor, IEEE Transactions on Signal Processing, 2020-2024
• Senior Area Editor, IEEE Transactions on Signal Processing, since 2024

• Courses
• EE609: Convex Optimization in SP/COM [2013-2014-2015-2016-2017-2018-2019-2020-2021-2022]
• EE673: Digital Communication Networks [2013-2014-2015-2016]
• ESc201: Introduction to Electronics [2017]
• EE320: Principles of Communications [Fall'18][Fall'24]
• EE698U: Optimization for Big Data [Fall'19] [Fall'20]
• EE798T: UAV Communications [Spring'24][Spring'25]
• BSE666: Computational Biomedical Engineering [Spring'25]
  

• Research: we focus on the applications of signal processing to communications. See the SPiN lab research page for details. Specific problems of interest include (see overview)
  • Large-Scale Optimization [NCC 2020 tutorial]
  • Online learning with dynamic convex optimization [NCC 2018 tutorial]
  • Localization of wireless sensor networks, design of distributed algorithms
  • Signal processing assisted network monitoring
  • Transceiver optimization, precoder design, beamforming, interference alignment
  • Signal processing for smart grid communications, load scheduling, state estimation
  • Stochastic resource allocation and its applications in wireless networks
  • Spectrum sensing via sparsity and low rank
  
  
• Education
• University of Minnesota

Ph.D., Electrical and Computer Engineering

Thesis: "Dynamic Optimization and Monitoring in Communication Networks"

Advisor: Prof. Georgios B. Giannakis

• Indian Institute of Technology Kanpur

B.Tech-M.Tech (Dual), Electrical Engineering, Jul. 2007

Thesis: "Symbol Timing Estimation Techniques for MIMO Systems"

Advisor: Prof. Ajit K. Chaturvedi

• Publications
  [Preprints]
  
  • P. Sharma, P. Khanduri, S. Bulusu, K. Rajawat, P. K. Varshney, "Parallel Restarted SPIDER--Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity," Dec. 2019. [arxiv]
  • K. Rajawat and C. Kumar, "A Primal-Dual Framework for Decentralized Stochastic Optimization," Dec. 2021. [arxiv]
  [Journal]
  
  • S. D. Sharma and K. Rajawat, "Optimized Gradient Tracking for Decentralized Online Learning," IEEE Transactions on Signal Processing, vol. 72, pp. 1443-1459, Mar. 2024. [arxiv]
  • S. Senapati, A. Shenai, and K. Rajawat, "Proximal Algorithms for Smoothed Online Convex Optimization with Predictions," IEEE Transactions on Signal Processing, vol. 71, pp. 3442-3457, Aug. 2023. [arxiv]
  • S. Teja T., Harshvardhan, and K. Rajawat, "Stochastic Compositional Gradient Descent under Compositional Constraints," IEEE Transactions on Signal Processing, vol. 71, pp. 1115-1127, Feb. 2023.
  • Z. Akhtar, A. S. Bedi, S. Teja T., and K. Rajawat, "Projection-free Stochastic Bi-level Optimization," IEEE Transactions on Signal Processing, vol. 70, pp. 6332-6347, 2022.
  • N. Mohan Krishna, L. Arora, A. Bose, K. Rajawat, and R. M. Hegde, "A Generalized Framework for Autonomous Calibration of Wheeled Mobile Robots," Robotics and Autonomous Systems (Elsevier), vol. 158, Dec. 2022. 
  • A. Chakraborty, K. Rajawat, and A. Koppel, "Sparse Representations of Positive Functions via First and Second-Order Pseudo-Mirror Descent," IEEE Transactions on Signal Processing, vol. 70, pp. 3148-3164, May 2022.
  • Z. Akhtar and K. Rajawat, "Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization," IEEE Transactions on Signal Processing, vol. 70, pp. 2119-2135, Mar. 2022.
  • A. Bedi, K. Rajawat, V. Aggarwal, and A. Koppel, "Escaping Saddle Points with Successive Convex Approximation," IEEE Transactions on Signal Processing, vol. 70, pp. 307-321, 2022.
  • Charul, U. Bhatt, P. Biyani, and K. Rajawat, "Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 5, May 2022.
  • J. G. Sreenath, A. Meghawani, S. Chakrabarti, K. Rajawat, and V. Terzija, "Spoofing Attack on Synchrophasor GPS Clock: Impact and Detection in Power System State Estimation," International Journal of Electrical Power and Energy Systems (Elsevier), Jan. 2022.
  • A. Koppel, H. Pradhan, and K. Rajawat, "Consistent Online Gaussian Process Regression without the Sample Complexity Bottleneck," Statistics and Computing (Springer), vol. 31, no. 6, 2021. [arxiv]
  • B. M. Idrees, J. Akhtar, and K. Rajawat, "Practical Precoding via Asynchronous Stochastic Successive Convex Approximation," IEEE Transactions on Signal Processing, vol. 69, pp. 4177-4191, 2021.
  • Z. Akhtar, A. S. Bedi, and K. Rajawat, "Conservative Stochastic Optimization with Expectation Constraints," IEEE Transactions on Signal Processing, vol. 69, pp. 3190-3205, 2021.
  • H. Pradhan, A. S. Bedi, A. Koppel, and K. Rajawat, "Adaptive Kernel Learning in Heterogeneous Networks," IEEE Transactions on Signal and Information Processing over Networks, vol. 7, pp. 423-437, 2021.
  • R. Tripathi and K. Rajawat, "Adaptive Network Latency Prediction from Noisy Measurements," IEEE Transactions on Network and Service Management - Special Issue on Data Analytics and Machine Learning for Network and Service Management, vol. 18, no. 1, pp. 807-821, Mar. 2021.
  • D. S. Kalhan, A. S. Bedi, A. Koppel, K. Rajawat, H. Hassini, A. K. Gupta, "Dynamic Online Learning via Frank-Wolfe Algorithm," IEEE Transactions on Signal Processing, vol. 69, pp. 932-947, 2021.
  • R. Dixit, A. S. Bedi, and K. Rajawat, "Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm," IEEE Transactions on Automatic Control, Nov. 2021. [arxiv]
  • J. Akhtar, K. Rajawat, V. Gupta, and A. K. Chaturvedi, "Joint User and Antenna Selection in Massive-MIMO Systems with QoS-Constraints," IEEE Systems Journal, vol. 15, no. 1, pp. 497-508, Mar. 2021. 
  • A. S. Bedi, A. Koppel, K. Rajawat, and P. Sanyal , "Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning," in IEEE Transactions on Signal Processing, vol. 69, pp. 428-442, 2021.
  • S. Teja T., P. Katiyar, and K. Rajawat, "Dynamic Cache Management in Content Delivery Networks," Computer Networks (Elsevier), vol. 187, Mar. 2021.
  • J. G. Sreenath, S. Chakrabarti, and K. Rajawat, "Asynchronous Hierarchical Forecasting-Aided State Estimator with Sub-Area Data Validation for Power Systems," IEEE Sensors Journal, vol. 21, no. 2, Jan. 2021.
  • H. Pradhan, R. Budhiraja, and K. Rajawat, "Robust Transceiver Design for AF Asymmetric Two-Way MIMO Relaying," IEEE Transactions on Signal Processing, vol. 68, no. 1, pp. 5488-5503, Sept. 2020.
  • Mohan Krishna N., A. S. Bedi, K. Rajawat, and M. Coupechoux, "Online Trajectory Optimization Using Inexact Gradient Feedback for Time-Varying Environments," IEEE Transactions on Signal Processing, vol. 68, pp. 4824-4838, Aug. 2020. [arxiv]
  • Santhosh Kumar C., K. Rajawat, S. Chakrabarti, and B. C. Pal, Robust Distribution System State Estimation with Hybrid Measurements, IET Generation, Transmission, and Distribution, vol. 14, no. 16, pp. 3250-3259, Aug. 2020.
  • A. Koppel, A. S. Bedi, K. Rajawat, and B. M. Sadler, "Optimally Compressed Nonparametric Online Learning," IEEE Signal Processing Magazine - Special Issue on Distributed, Streaming Machine Learning, vol. 37, no. 3, pp. 61-70, May 2020. [arxiv]
  • C. Kumar and K. Rajawat, "Network Dissensus via Distributed ADMM," IEEE Transactions on Signal Processing, vol. 68, no. 1, pp. 2287-2301, Apr. 2020.
  • I. Mohammed, J. G. Sreenath, S. S. Sadashiv, K. Rajawat, and S. Chakrabarti, "Modified re-iterated Kalman filter for handling delayed and lost measurements in power systems state estimation," IEEE Sensors Journal, vol. 20, no. 7, pp. 3946-3955, Apr. 2020.
  • L. J. Mohan, K. Rajawat, U. Parampalli, and A. Harwood, "Optimal placement for repair-efficient erasure codes in geo-diverse storage centres,"  Journal of Parallel and Distributed Computing (Elsevier), vol. 135, pp. 101-113, Jan. 2020. 
  • S. Teja T. and K. Rajawat, "Optimal Design of Queuing Systems via Compositional Stochastic Programming," IEEE Transactions on Communications,  vol. 67, no. 12, pp. 8460-8474, Dec. 2019. [extended version]
  • C. Kumar and K. Rajawat, "Dictionary-based Statistical Fingerprinting for Indoor Localization," IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 8827-8841, Sept. 2019.
  • A. S. Bedi, A. Koppel, and K. Rajawat, "Asynchronous Online Learning in Multi-Agent Systems with Proximity Constraints," IEEE Transactions on Signal and Information Processing over Networks, vol. 5, no. 3, pp. 479-494, Sept. 2019.
  • J. G. Sreenath, S. Chakrabarti, K. Rajawat, and V. Terzija, "An Asynchronous Decentralized Forecasting-Aided State Estimator for Power Systems," IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 3059-3068, July 2019.
  • A. S. Bedi, A. Koppel, and K. Rajawat, "Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks," IEEE Transactions on Signal Processing, vol. 67, no. 7, pp. 1742-1757, Apr. 2019.
  • R. Dixit, A. S. Bedi, R. Tripathi, and K. Rajawat, "Online Learning with Inexact Proximal Online Gradient Descent Algorithms," IEEE Transactions on Signal Processing, vol. 67, no. 5, pp. 1338-1352, Mar. 2019.
  • A. S. Bedi, P. V. Aditya Prasad, M. W. Ahmad, S. Shinde, K. Rajawat, and S. Anand, "Online Algorithms for Storage Utilization under Real-Time Pricing in Smart Grid," International Journal of Electrical Power and Energy Systems (Elsevier), vol. 101, pp. 50-59, Oct. 2018.
  • J. G. Sreenath, S. Chakrabarti, and K. Rajawat, "Hierarchical Parallel Dynamic Estimator of States for Interconnected Power System," IET Generation, Transmission, and Distribution, vol. 12, no. 10, pp. 2299-2306, May 2018.
  • A. S. Bedi and K. Rajawat, "Asynchronous incremental stochastic dual descent algorithm for network resource allocation," IEEE Transactions on Signal Processing, vol. 66, no. 9, pp. 2229-2244, May 2018.
  • A. S. Bedi and K. Rajawat, "Network resource allocation via stochastic subgradient descent: convergence rate," IEEE Transactions on Communications, vol. 66, no. 5, pp. 2107-2121, May 2018. 
  • Meher Preetam K., S. Mishra, K. Rajawat, and L. Behera, "A hybrid adaptive framework for coordinated control of distributed generators in cyber-physical energy systems," IET Cyber-Physical Systems: Theory and Applications, vol. 3, no. 1, pp. 54-62, Mar. 2018.
  • A. S. Bedi, P. Sarma, and K. Rajawat, "Tracking moving agents via inexact online gradient descent algorithm," IEEE Journal of Selected Topics in Signal Processing - Special issue on Machine Learning for Cognition in Radio Communications and Radar, vol. 12, no. 1, pp. 202-207, Feb. 2018. 
  • J. Akhtar and K. Rajawat, "Distributed sequential estimation in wireless sensor networks,"  IEEE Transactions on Wireless Communications, vol. 17, no. 1, pp. 86-100, Jan. 2018.
  • R. Tripathi, B. Mohan, and K. Rajawat, "Adaptive low rank matrix completion," IEEE Transactions on Signal Processing, vol. 65, no. 14, pp. 3603-3616, July 2017. [Videos]
  • K. Rajawat and S. Kumar, "Stochastic multidimensional scaling," IEEE Transactions on Signal and Information Processing over Networks - Special Issue on Distributed Information Processing in Social Networks, vol. 3, no. 2, pp. 360-375, June 2017. [TrackingVideo][MovieLensVideo][Code] 
  • S. Kumar, R. Jain, and K. Rajawat, "Asynchronous optimization over heterogeneous networks via consensus ADMM," IEEE Transactions on Signal and Information Processing over Networks, vol. 3, no. 1, pp. 114-129, Mar. 2017.
  • S. S. Kalamkar, J. Pradha J, A. Banerjee, and K. Rajawat, "Resource allocation and fairness in wireless powered cooperative cognitive radio networks," IEEE Transactions on Communications, vol. 64, no. 8, pp. 3246-61, Aug. 2016.
  • A. S. Bedi, J. Akhtar, K. Rajawat, and A. K. Jagannatham, "BER-optimized precoders for OFDM systems with insufficient cyclic prefix," IEEE Communication Letters, vol. 20, no. 2, pp 280-283, Feb. 2016.
  • S. Kumar, R. Kumar, and K. Rajawat, "Cooperative localization of mobile networks via velocity-assisted multidimensional scaling," IEEE Transactions on Signal Processing, vol. 64, no. 7, pp. 1744-58, Feb. 2016.
  • G. Kapoor and K. Rajawat, "Outlier-aware cooperative spectrum sensing in cognitive radio networks," Physical Communication (Elsevier), vol. 17, pp. 118-127, Dec. 2015.
  • P. Katiyar and K. Rajawat, "Channel-aware medium access control in multichannel cognitive radio networks," IEEE Communication Letters, vol. 19, no. 10, pp. 1710-13, 2015.
  • P. A. Forero, K. Rajawat, and G. B. Giannakis, “Prediction of partially observed dynamical processes over networks via dictionary learning,” IEEE Transactions on Signal Processing, vol. 62, no. 13, pp. 3305-3320, July 2014.
  • K. Rajawat, E. Dall'Anese, and G. B. Giannakis, “Dynamic network delay cartography,” IEEE Transactions on Information Theory, vol. 60, no. 5, pp. 2910-2920, May 2014. 
  • G. Mateos and K. Rajawat, ''Dynamic network cartography: advances in network health monitoring,'' IEEE Signal Processing Magazine - Special issue on `Adaptation and learning over complex networks,' vol. 30, no. 3, pp. 129-143, May 2013. [Errata]
  • K. Rajawat, A. Cano, and G. B. Giannakis, “Network-compressive coding for wireless sensors with correlated data,” IEEE Transactions on Wireless Communications, vol. 11, no. 12, pp. 4264-4274, Dec. 2012.
  • K. Rajawat and G. B. Giannakis, “Joint scheduling and network coding for multicast in delay-constrained wireless networks,” IEEE Transactions on Signal Processing, vol. 59, no. 12, pp. 6186-6196, Dec. 2011.
  • K. Rajawat, N. Gatsis, S.-J. Kim, and G. B. Giannakis, “Cross-layer design of coded multicast for wireless random access networks,” IEEE Journal on Selected Areas in Communications, vol. 29, no. 10, pp. 1970-1980, Dec. 2011.  
  • K. Rajawat, N. Gatsis, and G. B. Giannakis, “Cross-layer designs in coded wireless fading networks with multicast,” IEEE/ACM Transactions on Networking, vol. 19, no. 5, pp. 1276-1289, Oct. 2011. [most accessed article in Nov. 2011.] 
  • K. Rajawat and A. K. Chaturvedi, “Near optimal training sequences for low complexity symbol timing estimation in MIMO systems,” IEEE Transactions on Communications, vol. 58, no. 1, pp. 281-288, Jan 2010.
  • K. Rajawat and A. K. Chaturvedi, “A low complexity symbol timing estimator for MIMO systems using two samples per symbol,” IEEE Communications Letters, vol. 10, no. 7, pp. 525-527, July 2006.
  [Book chapter]
  • S.-J. Kim, E. Dall'Anese, J. A. Bazerque, K. Rajawat, and G. B. Giannakis, "Advances in spectrum sensing and cross-layer design for cognitive radio networks," in Academic Press Library in Signal Processing: Communications and Radar Signal Processing, vol. 2,  N. D. Sidiropoulos, F. Gini, R. Chellappa, and S. Theodoridis, Eds., Elsevier, 2013.
  [A* conferences (> 9 pages)]
  • A. S. Lahoti, S. Senapati, K. Rajawat, A. Koppel, "Sharpened Lazy Incremental Quasi-Newton Method," in Proc. of the International Conference on Artificial Intelligence and Statistics (AISTAT), Valencia, Spain, May 2024. [arxiv]
  • Q. Jin, A. Koppel. K. Rajawat, A. Mokhtari, "Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood," in Proc. of the International Conference on Machine Learning (ICML), Baltimore, USA, July 2022. [arxiv]
  • A. Elgabli, C. B. Issaid, A. S. Bedi, K. Rajawat, M. Bennis, and V. Aggarwal, "FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning", in Proc. of the International Conference on Machine Learning (ICML), Baltimore, USA, July 2022. [arxiv]
    
  • P. Khanduri, P. Sharma, H. Yang, M. Hong, J. Liu, K. Rajawat, P. K. Varshney, "STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning," in Proc. of the Conference on Neural Information Processing Systems (NeurIPS), virtual, 2021. [arxiv]
  • A. S. Bedi, K. Rajawat, and M. Coupechoux, "An online approach to D2D trajectory utility maximization problem," in Proc. of the IEEE Intl. Conf. on Computer Communications (INFOCOM), Honolulu, HI, USA, Apr. 2018.
  [Other conferences (< 8 pages)]
  • P. P. Pradhan, A. Sen, M. Kothari and K. Rajawat, "Distributed Optimisation under a Weight-unbalanced Digraph," Proc. of the International Conference on Automation, Robotics, and Applications, Abu Dhabi, UAE, Feb. 2023
  • S. Teja T., Harshvardhan, K. Rajawat, "Fairness Aware Machine Learning Models via Compositional Stochastic Programming," in Proc. of the Asilomar Conf. on  Signals, Systems, and Computers, Pacific Grove, CA, USA, Nov. 2022.
  • H. Pradhan, K. Rajawat, "A Variance Reduced Nonconvex Stochastic Optimization Framework For Online Kernel Learning," in Proc. of the Asilomar Conf. on  Signals, Systems, and Computers, Pacific Grove, CA, USA, Nov. 2022.
  • H. Pradhan, K. Rajawat, A. Koppel, "On Submodular Set Cover Problems for Near-Optimal Kernel Basis Selection," IEEE ICASSP, May 2022.
  • S. Teja T., K. Rajawat, "Optimizing QoS for Erasure-Coded Wireless Data Centers," IEEE International Conference on Communications, May 2021.
  • Z. Akhtar, K. Rajawat, "Momentum based Projection Free Stochastic Optimization Under Affine Constraints," American Control Conference, May 2021.
  • Z. Akhtar, A. S. Bedi, K. Rajawat, "Conservative Stochastic Optimization: O(T^(-1/2)) Optimality Gap with Zero Constraint Violation," American Control Conference, May 2021. 
  • H. Pradhan, A. S. Bedi, A. Koppel, K. Rajawat, "Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks," in Proc. of the Asilomar Conf. on  Signals, Systems, and Computers, Pacific Grove, CA, USA, Nov. 2020.
  • A. S. Bedi, A. Koppel, K. Rajawat, B. Sadler, "Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization," American Control Conference, July 2020.
  • R. Dixit, A. S. Bedi, and K. Rajawat, "Distributed Online Learning over Time-varying Graphs via Proximal Gradient Descent," in Proc. of the IEEE Conf. on Decision and Control (CDC), Nice, France, Dec. 2019.
  • C. Kumar and K. Rajawat, "Network Dissensus via Distributed ADMM," in Proc. of the Asilomar Conf. on  Signals, Systems, and Computers, Pacific Grove, CA, USA, Nov. 2019.
  • N. Mohan Krishna, L. Arora, A. Bose, K. Rajawat, and R. M. Hegde, "Model Free Calibration of Wheeled Robots Using Gaussian Process," IEEE/RSJ International Conf. on Intelligent Robots and Systems (IROS), Macau, China, Nov., 2019. [arxiv]
  • A. S. Bedi, A. Koppel, and K. Rajawat, "Nonstationary Nonparametric Optimization: Online Kernel Learning against Dynamic Comparators," in Intl. Conf. on Continuous Optimization (ICCOPT), Berlin, Germany, Aug. 2019. [arxiv]
  • L. Arora, N. Mohan Krishna, K. Rajawat, and R. M. Hegde, "Automatic Joint Calibration of odometry and sensor parameters," International Conf. on Advances in Robotics (AIR), July 2019.
  • A. Koppel, A. S. Bedi, and K. Rajawat, "Controlling the the Bias-Variance Tradeoff via Coherent Risk for Robust Learning with Kernels," in Proc. of the American Control Conference (ACC), Philadelphia, PA, USA, July 10-12, 2019.
  • S. Teja T. and K. Rajawat, "Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges," in Proc. of the Intl. Conf. on Communications (ICC), Shanghai, China, May 20-24, 2019. [arxiv]
  • N. Mohan Krishna, S. Joshi, and K. Rajawat, "Utility-Optimal Trajectory Design for Time-Varying Ocean Environments," in Proc. of the Intl. Conf. on Robotics and Automation (ICRA), Montreal, Canada, May 20-24, 2019.
  • C. Paliwal, U. Bhatt, P. Biyani, and K. Rajawat, "Online Variational Bayesian Subspace Filtering," in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 12-17, 2019.
  • J. Akhtar and K. Rajawat, "Quality-of-Service Constrained User and Antenna Selection in Downlink Massive-MIMO Systems," in Proc. of the IEEE WCNC Workshop on Advanced 5G Radio Access Network Features and Performance, Marrakech, Morocco, April 15-18, 2019.
  • A. S. Bedi, A. Koppel, and K. Rajawat, "Asynchronous Saddle Point Method: Interference Management Through Pricing," in Proc. of the IEEE Conf. on Decision and Control (CDC), Miami Beach, Florida, USA, Dec. 2018. 
  • H. Pradhan, A. S. Bedi, A. Koppel, K. Rajawat, "Exact Nonparametric Decentralized Online Optimization," in Proc. of the IEEE GlobalSIP, Anaheim, CA, USA, Nov. 2018.
  • R. Dixit, A. S. Bedi, R. Tripathi, and K. Rajawat, "Time Varying Optimization via Inexact Proximal Online Gradient Descent," in Proc. of the Asilomar Conf. on  Signals, Systems, and Computers, Pacific Grove, CA, USA, Nov. 2018.
  • S. Teja T. and K. Rajawat, "Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges," 56th Annual Allerton Conf. on Communication, Control, and Computing, Monticello, IL, USA, Oct. 2018 (accepted but withdrawn due to visa issues). 
  • A. Meghwani, J. G. Sreenath, K. Rajawat, S. Chakrabarti, and S. C. Srivastava, "Impact of GPS Spoofing on Synchrophasor Assisted Load Shedding," IEEE PES General Meeting, Portland, OR, USA, Aug. 2018.
  • J. Akhtar and K. Rajawat, "QoS-based Antenna and User Selection in Large-Scale Fading for Massive-MIMO Systems" in Proc. of the IEEE Intl. Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Kalamata, Greece, June 2018.
  • R. Tripathi and K. Rajawat, "Dynamic Network Latency Prediction with Adaptive Matrix Completion," in Proc. of the Intl. Conf. on Signal Processing and Communications (SPCOM), Bangalore, India. June 2018.
  • A. S. Bedi, H. Pradhan, and K. Rajawat, "Decentralized Asynchronous Stochastic Gradient Descent: Convergence Rate Analysis," in Proc. of the Intl. Conf. on Signal Processing and Communications (SPCOM), Bangalore, India. June 2018.
  • A. S. Bedi, P. Sarma, and K. Rajawat, "Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent," in Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, Apr. 2018. 
  • A. S. Bedi and K. Rajawat, "Wireless network optimization via stochastic sub-gradient descent: rate analysis," in Proc. of the IEEE Wireless Communications and Networking Conf. (WCNC), Barcelona, Spain, Apr. 2018.
  • C. Kumar and K. Rajawat, "Dictionary learning-based fingerprinting for indoor localization," in Proc. of the National Conference on Communications (NCC), Hyderabad, India, Feb. 2018.
  • A. S. Bedi, A. Koppel, and K. Rajawat, "Beyond consensus and synchrony in decentralized online optimization using saddle point method," in Proc. of the Asilomar Conf. on  Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2017. [Asilomar Student Paper Contest Finalist].
  • A. Meghwani, J. G. Sreenath, K. Rajawat, S. Chakrabarti, S. C. Srivastava, “A Recursive State Estimation Approach to Mitigate False Data Injection Attacks in Power Systems,” in IEEE PES General Meeting, Chicago, IL, USA, July, 2017.
  • A. S. Bedi and K. Rajawat, "Asynchronous resource allocation in distributed heterogeneous networks," in Proc. of the IEEE International Conference on Communications (ICC), Paris, France, May 2017. 
  • A. S. Bedi and K. Rajawat, "Optimal utilization of storage systems under real-time pricing," in Proc. of the IEEE ICC Workshop on Integrating Communications, Control, and Computing Technologies for Smart Grid, Paris, France, May 2017.
  • S. Kumar and K. Rajawat, "Distributed asynchronous localization over WSNs via non-convex consensus ADMM," in Proc. of the National Conference on Communications (NCC), Chennai, India, Mar. 2017.
  • S. Kumar and K. Rajawat, "Distributed interference alignment for MIMO cellular network via consensus ADMM," in Proc. of the IEEE GlobalSIP, Washington, DC USA, Dec. 2016
  • J. Akhtar, A. S. Bedi, K. Rajawat, and A. K. Jagannatham, "BER-optimized robust precoder design for MIMO-OFDM systems with Insufficient CP" in Proc. of IEEE Globecom, Washington, DC USA, Dec. 2016. 
  • A. S. Bedi and K. Rajawat, "Online load scheduling under price and demand uncertainty in smart grid," in Proc. of the Intl. Conf. on Signal Processing and Communications (SPCOM), Bangalore, India. June 2016.
  • R. Singh and K. Rajawat, "Online precoder design for parameter tracking in wireless sensor networks," in Proc. of the IEEE Annual Intl. Symp. on Personal, Indoor, and Mobile Radio Commun. (PIMRC), Hong Kong, Aug. 2015.
  • S. Kumar and K. Rajawat, "Velocity assisted multidimensional scaling," in Proc. of the IEEE Intl. Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Stockholm, Sweden, June 2015.
  • G. Kapoor, and K. Rajawat, "Outlier-aware spectrum sensing in cognitive radio networks," in Proc. of the Intl. Conf. on Signal Processing and Communication Systems (ICSPCS), Gold Coast, Australia, Dec., 2014.
  • A. Mishra, A. Pal, K. Rajawat, and A. K. Jagannatham, "Sparse Bayesian learning-based data-aided channel estimation for STTC MIMO systems", in Proc. of the Australasian Telecommunication Networks and Applications Conference (ATNAC), Melbourne, Australia, Nov. 2014.
  • A. Jalan, K. Rajawat, R. M. Hegde, "New encoding schemes for efficient multilingual text messaging,'' in Proc. of the National Conference on Communications (NCC), Kanpur, India, Mar. 2014.
  • K. Rajawat, E. Dall’Anese, and G. B. Giannakis, “Dynamic network kriging,” in Proc. of IEEE Statistical Signal Processing Workshop, Ann Arbor, MI, Aug. 2012.
  • P. A. Forero, K. Rajawat, and G. B. Giannakis, “Semi-supervised dictionary learning for network-wide link load prediction,” in Proc. of Cognitive Information Processing Workshop, Baiona, Spain, May 2012.
  • K. Rajawat, E. Dall’Anese, and G. B. Giannakis, “Joint rate and power control for coded cognitive radio networks,” in Proc. of 45th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, pp. 259–264, Nov. 2011.
  • K. Rajawat, N. Gatsis, S.-J. Kim, and G. B. Giannakis, “Cross-layer design of coded multicast for wireless random access networks,” in Proc. of Conf. on Information Sciences and Systems (CISS), Baltimore, MD, Mar. 2011.
  • K. Rajawat, N. Gatsis, and G. B. Giannakis, “Cross-layer design of multicast in fading: network coding and asynchronous subgradients,” in Proc. of 3rd IEEE Wireless Network Coding Workshop (SECON Workshops), Boston, MA, June 2010.
  • K. Rajawat and G. B. Giannakis, “Non-random wireless network coding,” in Proc. of 2nd IEEE Wireless Network Coding Workshop (SECON Workshops), Rome, Italy, June 2009. 
  • K. Rajawat, T. Wang, and G. B. Giannakis, “An algebraic polyphase approach to wireless network coding,” in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, Taiwan, Apr. 2009.
  • K. Rajawat and A. Banerjee, “Selection relaying at low signal to noise ratios,” Wireless Personal Multimedia Communications (WPMC), Jaipur, Dec, 2007. [arxiv].
  • K. Rajawat and A. K. Chaturvedi, “Non-data aided symbol timing estimation in MIMO systems,” in Proc. of IEEE International Conference on Communications (ICC), Glasgow, Scotland, April 2007.
  • K. Rajawat and A. K. Chaturvedi, "Non-data aided symbol timing estimation in multiple antenna systems," in Proc. of National Conference on Communications (NCC), Kanpur, India, Mar. 2007.
  [Patents]
• IPA No-1857/DEL/2006: A low complexity symbol timing estimator for MIMO systems using two samples per symbol, Patent Grant No. 272223