Shashwat Jain

Research

My research focuses on mathematically rigorous methods for high-dimensional estimation and sequential decision-making under uncertainty, with applications to radar sensing, adversarial environments, and modern machine learning systems.​

• High-dimensional radar covariance estimation – Nonlinear spectral shrinkage and convex relaxation methods for banded-spiked clutter covariance matrices, enabling robust space-time adaptive processing (STAP) in challenging radar environments.

• Adversarial and multifunction radar decision systems – Fisher information-based masking of sensing plans, game-theoretic radar–jammer interactions, and adaptive ECCM strategies that trade off performance and privacy.​

• Human–machine and multi-agent decision-making – Quantum decision systems for human–machine interaction and graph transformer neural networks for group intent inference and trajectory analysis.​

Selected Publications

(Full publication list on Google Scholar.)​

• MLE of Banded, Spiked, High-Dimensional Clutter Covariance – A Convex Relaxation Approach, 2025 IEEE International Radar Conference (RADAR), 2025.​

• Approximate MLE of High-Dimensional STAP Covariance Matrices with Banded & Spiked Structure – A Convex Relaxation Approach, IEEE Transactions on Aerospace and Electronic Systems, 2026.

• Inferring Group Intent as a Cooperative Game: An NLP-based Framework for Trajectory Analysis using Graph Transformer Neural Network, arXiv:2510.23905, 2025.​

• Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars, IEEE Transactions on Aerospace and Electronic Systems, 2025.​

• Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach, IEEE Transactions on Aerospace and Electronic Systems, 2023.

• Masking the Sensing Plan for Multifunction Radar in an Adversarial Setting, 2024 IEEE Radar Conference (RadarConf24), 2024.​

• Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach, ICASSP 2023.​

• Adaptive ECCM for Mitigating Smart Jammers, ICASSP 2023.​

• Lyapunov Based Stochastic Stability of a Quantum Decision System for Human–Machine Interaction, Automatica, 2024.​

• Lyapunov Based Stochastic Stability of Human–Machine Interaction: A Quantum Decision System Approach, IEEE Conference on Decision and Control (CDC), 2022.​

Talks & Conferences

• “Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach,” ICASSP 2023, Rhodes, Greece.​

• “Adaptive ECCM for Mitigating Smart Jammers,” ICASSP 2023, Rhodes, Greece.​

• “Masking the Sensing Plan for Multifunction Radar in an Adversarial Setting,” 2024 IEEE Radar Conference (RadarConf24), Denver, USA.​

• “MLE of Banded, Spiked, High-Dimensional Clutter Covariance – A Convex Relaxation Approach,” 2025 IEEE International Radar Conference (RADAR), Atlanta, USA.​

Education

1. • Cornell University, Ithaca, New York (2021-Present)
     Electrical and Computer Engineering
     GPA:3.92/4

   • Indian Institute of Technology, Kharagpur  (2016-2021)
     Dual Degree in Electronics and Electrical Engineering
     CGPA: 9.41/10

   • La Martiniere College, Lucknow (2002-2016)
     ISC Board Examination: 96.5/100
     ICSE Board Examination: 94.2/100