Feedback-Coordinated Ramp Control of Consecutive On-Ramps Using Distributed Modeling and Godunov-Based Satisfiable Allocation. - Shaurya Agarwal; Pushkin Kachroo; Sergio Contreras; Shankar Sastry 001 (IEEE Trans. Intell. Transp. Syst., 2015)

Inverse Problem for Non-Viscous Mean Field Control: Example From Traffic. - Pushkin Kachroo; Shaurya Agarwal; Shankar Sastry 001 (IEEE Trans. Autom. Control., 2016)

A Dynamic Network Modeling-Based Approach for Traffic Observability Problem. - Shaurya Agarwal; Pushkin Kachroo; Sergio Contreras (IEEE Trans. Intell. Transp. Syst., 2016)

Observability and Sensor Placement Problem on Highway Segments: A Traffic Dynamics-Based Approach. - Sergio Contreras; Pushkin Kachroo; Shaurya Agarwal (IEEE Trans. Intell. Transp. Syst., 2016)

Modeling and Estimation of the Vehicle-Miles Traveled Tax Rate Using Stochastic Differential Equations. - Pratik Verma; Hongtao Yang; Pushkin Kachroo; Shaurya Agarwal (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Multidimensional Compression of ITS Data Using Wavelet-Based Compression Techniques. - Shaurya Agarwal; Emma E. Regentova; Pushkin Kachroo; Himanshu Verma (IEEE Trans. Intell. Transp. Syst., 2017)

Optimal Control for Congestion Pricing: Theory, Simulation, and Evaluation. - Pushkin Kachroo; Saumya Gupta; Shaurya Agarwal; Kaan Özbay (IEEE Trans. Intell. Transp. Syst., 2017)

Multiscale Modeling and Control Architecture for V2X Enabled Traffic Streams. - Pushkin Kachroo; Shaurya Agarwal; Benedetto Piccoli; Kaan Özbay (IEEE Trans. Veh. Technol., 2017)

Quality of Traffic Observability on Highways With Lagrangian Sensors. - Sergio Contreras; Shaurya Agarwal; Pushkin Kachroo (IEEE Trans Autom. Sci. Eng., 2018)

Event Triggered Social Media Chatter: A New Modeling Framework. - Michael Muhlmeyer; Jiheng Huang; Shaurya Agarwal (IEEE Trans. Comput. Soc. Syst., 2019)

Physics Informed Deep Learning for Traffic State Estimation. - Jiheng Huang; Shaurya Agarwal (ITSC, 2020)

A New Language and Input-Output Hidden Markov Model for Automated Audit Inquiry. - Pushkin Kachroo; Aaron Saiewitz; Robyn L. Raschke; Shaurya Agarwal; Jiheng Huang (IEEE Intell. Syst., 2020)

Modeling Social Contagion and Information Diffusion in Complex Socio-Technical Systems. - Michael Muhlmeyer; Shaurya Agarwal; Jiheng Huang (IEEE Syst. J., 2020)

Exploring DMD-type Algorithms for Modeling Signalised Intersections. - Kazi Redwan Shabab; Shakib Mustavee; Shaurya Agarwal; Mohamed H. Zaki; Sajal Das (CoRR, 2021)

A Linear Dynamical Perspective on Epidemiology: Interplay Between Early COVID-19 Outbreak and Human Mobility. - Shakib Mustavee; Shaurya Agarwal; Chinwendu Enyioha; Suddhasattwa Das (CoRR, 2021)

Optimizing Vehicle Loan Default Detection with Synthetic Balancing Techniques. - Akhil Chintalapati; Shaurya Agarwal; Kumaresan Angappan (ISCMI, 2023)

Physics Informed Deep Learning: Applications in Transportation. - Archie J. Huang; Shaurya Agarwal (CoRR, 2023)

On the Limitations of Physics-informed Deep Learning: Illustrations Using First Order Hyperbolic Conservation Law-based Traffic Flow Models. - Archie J. Huang; Shaurya Agarwal (CoRR, 2023)

Koopman-Theoretic Modeling of Quasiperiodically Driven Systems: Example of Signalized Traffic Corridor. - Suddhasattwa Das; Shakib Mustavee; Shaurya Agarwal; Samiul Hasan (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Self-Similar Characteristics in Queue Length Dynamics: Insights from Adaptive Signalized Corridor. - Shakib Mustavee; Shaurya Agarwal (ITSC, 2024)

An Extreme Value Theory Approach for Understanding Queue Length Dynamics in Adaptive Corridors. - Shakib Mustavee; Pushkin Kachroo; Shaurya Agarwal (ITSC, 2024)

Dynamic mode decomposition type algorithms for modeling and predicting queue lengths at signalized intersections with short lookback. - Kazi Redwan Shabab; Shakib Mustavee; Shaurya Agarwal; Mohamed H. Zaki; Sajal K. Das 001 (J. Intell. Transp. Syst., 2024)

Incorporating Nonlocal Traffic Flow Model in Physics-Informed Neural Networks. - Archie J. Huang; Animesh Biswas; Shaurya Agarwal (IEEE Trans. Intell. Transp. Syst., 2024)

DINOSTAR: Deep Iterative Neural Object Detector Self-Supervised Training for Roadside LiDAR Applications. - Muhammad Shahbaz; Shaurya Agarwal (CoRR, 2025)

Capturing the Impact of Vaccination and Human Mobility on the Evolution of COVID-19 Pandemic. - Md. Mahmudul Islam; Taj Azarian; Shaurya Agarwal; Sobur Ali (IEEE J. Biomed. Health Informatics, 2025)

A Stochastic Differential Equation Framework for Modeling Queue Length Dynamics Inspired by Self-Similarity. - Shakib Mustavee; Shaurya Agarwal; Arvind Singh (CoRR, 2025)

LiGuard: Interactively and Rapidly Create Point-Cloud and Image Processing Pipelines. - Muhammad Shahbaz; Shaurya Agarwal (J. Open Source Softw., 2025)