GPS-free terrain-based vehicle tracking on road networks. - Kshitij Jerath; Sean N. Brennan (ACC, 2012)

Analytical Prediction of Self-Organized Traffic Jams as a Function of Increasing ACC Penetration. - Kshitij Jerath; Sean N. Brennan (IEEE Trans. Intell. Transp. Syst., 2012)

Statistical mechanics-inspired framework for studying the effects of mixed traffic flows on highway congestion. - Kshitij Jerath; Asok Ray; Sean N. Brennan; Vikash V. Gayah (ACC, 2014)

Identification of locally influential agents in self-organizing multi-agent systems. - Kshitij Jerath; Sean Brennan 001 (ACC, 2015)

Dynamic Prediction of Vehicle Cluster Distribution in Mixed Traffic: A Statistical Mechanics-Inspired Method. - Kshitij Jerath; Asok Ray; Sean Brennan 001; Vikash V. Gayah (IEEE Trans. Intell. Transp. Syst., 2015)

Mitigation of self-organized traffic jams using cooperative adaptive cruise control. - Taehooie Kim; Kshitij Jerath (ICCVE, 2016)

Multi-robot Exploration and Coverage: Entropy-based Adaptive Maps with Adjacency Control Laws. - Mitchell Scott; Kshitij Jerath (ACC, 2018)

Examining the Observability of Emergent Behavior as a Function of Reduced Model Order. - Zhaohui Yang 007; Kshitij Jerath (ACC, 2018)

Observability Variation in Emergent Dynamics: A Study using Krylov Subspace-based Model Order Reduction. - Zhaohui Yang 007; Kshitij Jerath (ACC, 2020)

A Micro-simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database. - Liming Gao; Srivenkata Satya Prasad Maddipatla; Craig Earl Beal; Kshitij Jerath; Cindy Chen; Lorina Sinanaj; Hossein Haeri; Sean Brennan 001 (ACC, 2021)

Allan Variance-based Granulation Technique for Large Temporal Databases. - Lorina Sinanaj; Hossein Haeri; Liming Gao; Srivenkata Satya Prasad Maddipatla; Cindy Chen; Kshitij Jerath; Craig Earl Beal; Sean Brennan 001 (KMIS, 2021)

Near-Optimal Moving Average Estimation at Characteristic Timescales: An Allan Variance Approach. - Hossein Haeri; Craig Earl Beal; Kshitij Jerath (IEEE Control. Syst. Lett., 2021)

Optimal Moving Average Estimation of Noisy Random Walks using Allan Variance-informed Window Length. - Hossein Haeri; Behrad Soleimani; Kshitij Jerath (ACC, 2022)

Understanding Agent Competency: Effects of Environment Complexity on Area Coverage Time. - Fernando Mazzoni; Kshitij Jerath (SSCI, 2022)

Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior. - Hossein Haeri; Reza Ahmadzadeh; Kshitij Jerath (CoRR, 2022)

DECISIVE Test Methods Handbook: Test Methods for Evaluating sUAS in Subterranean and Constrained Indoor Environments, Version 1.1. - Adam Norton; Reza Ahmadzadeh; Kshitij Jerath; Paul Robinette; Jay Weitzen; Thanuka Wickramarathne; Holly A. Yanco; Minseop Choi; Ryan Donald; Brendan Donoghue; Christian Dumas; Peter Gavriel; et al. (CoRR, 2022)

Congestion-Aware Cooperative Adaptive Cruise Control for Mitigation of Self-Organized Traffic Jams. - Taehooie Kim; Kshitij Jerath (IEEE Trans. Intell. Transp. Syst., 2022)

Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View. - Yasin Findik; Paul Robinette; Kshitij Jerath; Seyed Reza Ahmadzadeh (CDC, 2023)

Distributed Edge Computing System for Vehicle Communication. - Rinith Pakala; Niket Kathiriya; Hossein Haeri; Srivenkata Satya Prasad Maddipatla; Kshitij Jerath; Craig Earl Beal; Sean Brennan 001; Cindy Chen (DATA, 2023)

Adaptive Granulation: Data Reduction at the Database Level. - Hossein Haeri; Niket Kathiriya; Cindy Chen; Kshitij Jerath (KMIS, 2023)

Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective. - Yasin Findik; Hamid Osooli; Paul Robinette; Kshitij Jerath; Seyed Reza Ahmadzadeh (MRS, 2023)

DECISIVE Benchmarking Data Report: sUAS Performance Results from Phase I. - Adam Norton; Reza Ahmadzadeh; Kshitij Jerath; Paul Robinette; Jay Weitzen; Thanuka Wickramarathne; Holly A. Yanco; Minseop Choi; Ryan Donald; Brendan Donoghue; Christian Dumas; Peter Gavriel; et al. (CoRR, 2023)

Thermodynamics-inspired Macroscopic States of Bounded Swarms. - Hossein Haeri; Kshitij Jerath; Jacob Leachman (CoRR, 2023)

A Multi-Robot Task Assignment Framework for Search and Rescue with Heterogeneous Teams. - Hamid Osooli; Paul Robinette; Kshitij Jerath; Seyed Reza Ahmadzadeh (CoRR, 2023)

Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams. - Yasin Findik; Paul Robinette; Kshitij Jerath; Seyed Reza Ahmadzadeh (CoRR, 2023)

Granulation of Large Temporal Databases: An Allan Variance Approach. - Lorina Sinanaj; Hossein Haeri; Srivenkata Satya Prasad Maddipatla; Liming Gao; Rinith Pakala; Niket Kathiriya; Craig Earl Beal; Sean Brennan 001; Cindy Chen; Kshitij Jerath (SN Comput. Sci., 2023)

Using Databases to Implement Algorithms: Estimation of Allan Variance Using B+ -tree Data Structure. - Srivenkata Satya Prasad Maddipatla; Rinith Pakala; Hossein Haeri; Cindy Chen; Kshitij Jerath; Sean Brennan 001 (ACC, 2024)

Relational Q-Functionals: Multi-Agent Learning to Recover from Unforeseen Robot Malfunctions in Continuous Action Domains. - Yasin Findik; Paul Robinette; Kshitij Jerath; Reza Azadeh (UR, 2024)

Human-guided Swarms: Impedance Control-inspired Influence in Virtual Reality Environments. - Spencer Barclay; Kshitij Jerath (CoRR, 2024)

Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation. - Niket Kathiriya; Hossein Haeri; Cindy Chen; Kshitij Jerath (CoRR, 2024)

Energy-Guided Data Sampling for Traffic Prediction with Mini Training Datasets. - Zhaohui Yang 007; Kshitij Jerath (CoRR, 2024)

Graph Attention Inference of Network Topology in Multi-Agent Systems. - Akshay Kolli; Reza Azadeh; Kshitij Jerath (CoRR, 2024)

Relational Weight Optimization for Enhancing Team Performance in Multi-Agent Multi-Armed Bandits. - Monish Reddy Kotturu; Saniya Vahedian Movahed; Paul Robinette; Kshitij Jerath; Amanda Redlich; Reza Azadeh (CoRR, 2024)