Submitted/Accepted
2025
Abstract
This comparative study evaluates classical and machine learning approaches for modeling electric vehicle car-following behavior, providing insights into the strengths and limitations of each methodology in capturing EV-specific driving dynamics.
Abstract
This study presents a novel data-driven approach for thermal modeling and identification of lithium-ion battery packs, combining machine learning techniques with physical modeling to improve thermal management system performance.
Abstract
This work introduces a learning-based framework for accurate CPU burst prediction, enabling more efficient process scheduling in operating systems through adaptive algorithms that outperform traditional approaches.
Abstract
This theoretical work applies Lie theory to analyze and explain neural network-generated quantum gate parameters, providing new insights into barren plateau mitigation strategies for quantum machine learning applications.
Abstract
This research develops a comprehensive framework for uncertainty quantification in ROS2 Gazebo simulations, specifically examining leader-follower scenarios to improve the reliability of simulation-to-reality transfer in robotic systems.
Abstract
This work revisits the Followerstopper traffic control algorithm through a phase-space analysis perspective, proposing enhancements that improve its performance in diverse traffic conditions while maintaining safety guarantees.
Journals/Book Chapters/Conference Papers
2025
Abstract
This paper presents experimental evidence demonstrating how a single automated vehicle using explicit local controllers can effectively dissipate stop-and-go waves in dense traffic conditions, significantly improving overall traffic flow.
BibTeX Citation
@article{hayat2025traffic, title={Traffic Smoothing Using Explicit Local Controllers: Experimental Evidence for Dissipating Stop-and-go Waves with a Single Automated Vehicle in Dense Traffic}, author={Hayat, Amaury and Alanqary, Arwa and Bhadani, Rahul and Denaro, Christopher and Weightman, Ryan J and Xiang, Shengquan and others}, journal={IEEE Control Systems Magazine}, year={2025}, doi={10.1109/MCS.2024.3503402} }
Abstract
This groundbreaking study presents results from the largest open-road field experiment with 100 connected and automated vehicles, demonstrating their potential for coordinated traffic control and congestion mitigation.
BibTeX Citation
@article{lee2025traffic, title={Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs}, author={Lee, Jonathan W. and Wang, Han and Jang, Kathy and Hayat, Amaury and Bhadani, Rahul and Bunting, Matthew and Alanqary, Arwa and Barbour, William and others}, journal={IEEE Control Systems Magazine}, year={2025}, doi={10.1109/MCS.2024.3498552} }
2024
Abstract
This paper introduces MSMA, a novel framework for multi-agent trajectory prediction in CAV environments that effectively integrates diverse data sources including vehicle-to-everything (V2X) communications, sensor data, and infrastructure inputs.
BibTeX Citation
@inproceedings{chen2024msma, title={MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration}, author={Chen, Xi and Bhadani, Rahul and Head, K. Larry}, booktitle={The 24th COTA International Conference of Transportation Professionals}, year={2024}, address={Shenzhen, China} }
Abstract
This work presents a comprehensive model-based design tool leveraging SystemC-AMS for cyber-physical power systems, enabling efficient simulation and analysis of complex interactions between physical power components and digital control systems.
BibTeX Citation
@inproceedings{bhadani2024model, title={Model-based Design Tool for Cyber-physical Power Systems using SystemC-AMS}, author={Bhadani, Rahul and Banik, Satyaki and Tu, Hao and Lukic, Srdjan and Karsai, Gabor}, booktitle={6th Workshop on Design Automation for CPS and IoT (DESTION 2024)}, year={2024}, doi={10.1109/DESTION62938.2024.00016} }
Abstract
This paper introduces a robust pipeline that bridges the simulation-to-reality gap for traffic smoothing cruise controllers, including novel domain adaptation techniques and extensive real-world validation results.
BibTeX Citation
@article{lichtle2024sim, title={From Sim to Real: A Pipeline for Training and Deploying Traffic Smoothing Cruise Controllers}, author={Lichtlé, Nathan and Vinitsky, Eugene and Nice, Matthew and Bhadani, Rahul and Bunting, Matthew and others}, journal={IEEE Transactions on Robotics}, year={2024}, doi={10.1109/TRO.2024.3463407} }
2023
Abstract
This theoretical and simulation study presents an optimized receiver design for entanglement-assisted communication systems using BPSK modulation, demonstrating significant improvements in quantum communication performance metrics including channel capacity and error rates.
BibTeX Citation
@article{bhadani2023optimized, title={Optimized Receiver Design for Entanglement Assisted Communication using BPSK}, author={Bhadani, Rahul and Djordjevic, Ivan B.}, journal={Optics Express}, volume={31}, number={24}, pages={39765--39783}, year={2023}, doi={10.1364/OE.496792} }
Abstract
This paper presents a comprehensive approach to modeling and real-time simulation of microgrid components using SystemC-AMS. The study focuses on the development of accurate models for various microgrid elements and their integration into a unified simulation framework suitable for real-time analysis.
BibTeX Citation
@inproceedings{bhadani2023modeling, title={Modeling and real-time simulation of microgrid components using systemc-ams}, author={Bhadani, Rahul and Karsai, Gabor and Tu, Hao and Lukic, Srdjan}, booktitle={2023 Winter Simulation Conference (WSC)}, pages={3214--3225}, year={2023}, organization={IEEE} }
Abstract
This work presents novel parameter estimation techniques for decoding sensor signals in cyber-physical systems, focusing on improved accuracy and reliability in signal interpretation.
BibTeX Citation
@inproceedings{nice2023parameter, title={Parameter estimation for decoding sensor signals}, author={Nice, Matthew and Bunting, Matthew and Zachar, Gergely and Bhadani, Rahul and Ngo, Paul and Lee, Jonathan and Bayen, Alexandre and Work, Dan and Sprinkle, Jonathan}, booktitle={Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)}, pages={253--255}, year={2023} }
Abstract
This paper presents comprehensive approaches for synthesizing and deploying controller models on automated vehicles, specifically focusing on car-following behavior in mixed autonomy traffic scenarios.
BibTeX Citation
@incollection{bhadani2023approaches, title={Approaches for synthesis and deployment of controller models on automated vehicles for car-following in mixed autonomy}, author={Bhadani, Rahul and Bunting, Matthew and Nice, Matthew and Wu, Fangyu and Hayat, Amaury and Lee, Jonathan W and Bayen, Alexandre and Piccoli, Benedetto and Seibold, Benjamin and Work, Dan and others}, booktitle={Proceedings of Cyber-Physical Systems and Internet of Things Week 2023}, pages={158--163}, year={2023} }
Abstract
This study analyzes a runtime data sharing architecture over LTE networks for heterogeneous connected and autonomous vehicle (CAV) fleets, examining performance and reliability aspects.
BibTeX Citation
@incollection{richardson2023analysis, title={Analysis of a runtime data sharing architecture over LTE for a heterogeneous CAV fleet}, author={Richardson, Alex and Nice, Matthew Walter and Bunting, Matt and Lee, Jonathan and Bhadani, Rahul and Work, Daniel and Sprinkle, Jonathan}, booktitle={Proceedings of Cyber-Physical Systems and Internet of Things Week 2023}, pages={164--169}, year={2023} }
Abstract
This paper demonstrates the use of the CAT Vehicle Simulator for prototyping vehicle control applications, providing a comprehensive framework for testing and validation.
BibTeX Citation
@article{bhadani2023prototyping, title={{Prototyping Vehicle Control Applications Using the CAT Vehicle Simulator}}, author={Bhadani, Rahul and Sprinkle, Jonathan}, journal={arXiv preprint arXiv:2301.04574}, year={2023} }
Abstract
This work presents an attention-based graph neural network approach for label propagation in single-cell omics data, improving accuracy in cell type identification and classification.
BibTeX Citation
@article{bhadani2023attention, title={Attention-based graph neural network for label propagation in single-cell omics}, author={Bhadani, Rahul and Chen, Zhuo and An, Lingling}, journal={Genes}, volume={14}, number={2}, pages={506}, year={2023}, publisher={MDPI} }
2022
Abstract
This paper presents a novel approach for repeatable and scalable multi-vehicle simulation using federated modeling with offloaded dynamics, enabling efficient large-scale vehicular system analysis.
BibTeX Citation
@inproceedings{bhadani2022repeatable, title={Repeatable \& Scalable Multi-Vehicle Simulation with Offloaded Dynamics using Federated Modeling}, author={Bhadani, Rahul and Sprinkle, Jonathan}, booktitle={2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION)}, pages={57--63}, year={2022}, organization={IEEE} }
Abstract
NISC introduces a neural network-based imputation method for single-cell RNA sequencing data, improving clustering analysis accuracy by effectively handling missing data and dropout events.
BibTeX Citation
@article{zhang2022nisc, title={NISC: Neural Network-Imputation for Single-Cell RNA Sequencing and Cell Type Clustering}, author={Zhang, Xiang and Chen, Zhuo and Bhadani, Rahul and Cao, Siyang and Lu, Meng and Lytal, Nicholas and Chen, Yin and An, Lingling}, journal={Methods for Single-Cell and Microbiome Sequencing Data}, year={2022}, publisher={Frontiers Media SA} }
Abstract
This work presents a model-based design approach for NEMA-compliant dual-ring barrier traffic signal controllers, ensuring standards compliance while optimizing performance.
BibTeX Citation
@inproceedings{bhadani2022model, title={Model-based Design of NEMA-Compliant Dual-ring-barrier Traffic Signal Controller}, author={Bhadani, Rahul and Sprinkle, Jonathan and Head, K Larry}, booktitle={2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS)}, pages={01--02}, year={2022}, organization={IEEE} }
Abstract
This paper presents Strym, a Python package for real-time CAN data logging, analysis and visualization to work with USB-CAN interface.
BibTeX Citation
@inproceedings{bhadani2022strym, title={Strym: A python package for real-time can data logging, analysis and visualization to work with usb-can interface}, author={Bhadani, Rahul and Bunting, Matt and Nice, Matthew and Tran, Ngoc Minh and Elmadani, Safwan and Work, Dan and Sprinkle, Jonathan}, booktitle={2022 2nd Workshop on Data-Driven and Intelligent Cyber-Physical Systems for Smart Cities Workshop (DI-CPS)}, pages={14--23}, year={2022}, organization={IEEE} }
Abstract
This paper presents CANClassify, a method for automated decoding and labeling of CAN bus signals.
BibTeX Citation
@article{PaulNgoJonathanSprinkle2022, author = {{Paul Ngo, Jonathan Sprinkle}, Rahul Bhadani}, doi = {10.55708/js0110002}, journal = {Journal of Engineering Research and Sciences}, keywords = {computing methodologies,external interfaces for robotics,learning paradigms,neural}, number = {10}, pages = {5--12}, title = {{CANClassify : Automated Decoding and Labeling of CAN Bus Signals}}, volume = {1}, year = {2022} }
Abstract
This paper presents data from the development evolution of a vehicle for custom control.
BibTeX Citation
@inproceedings{bunting2022data, title={Data from the Development Evolution of a Vehicle for Custom Control}, author={Bunting, Matt and Bhadani, Rahul and Nice, Matt and Elmadani, Safwan and Sprinkle, Jonathan}, booktitle={2022 2nd Workshop on Data-Driven and Intelligent Cyber-Physical Systems for Smart Cities Workshop (DI-CPS)}, pages={40--46}, year={2022}, organization={IEEE} }
Abstract
This paper reviews and evaluates autonomous control policies for traffic in a ring road.
BibTeX Citation
@article{chou2022lord, title={The lord of the ring road: a review and evaluation of autonomous control policies for traffic in a ring road}, author={Chou, Fang-Chieh and Bagabaldo, Alben Rome and Bayen, Alexandre M, Rahul Bhadani, et al.}, journal={ACM Transactions on Cyber-Physical Systems (TCPS)}, volume={6}, number={1}, pages={1--25}, year={2022}, publisher={ACM New York, NY} }
2021
Abstract
This research presents optimal receiver designs for entanglement-assisted quantum communication using optical hybrid systems, enhancing communication capacity and reliability.
BibTeX Citation
@inproceedings{bhadani2021optical, title={Optical Hybrid-based Optimal Receiver Design for Entanglement-Assisted Communication}, author={Bhadani, Rahul and Djordjevic, Ivan B}, booktitle={Frontiers in Optics}, pages={FTu2D--2}, year={2021}, organization={Optical Society of America} }
Abstract
This paper presents reachability analysis for FollowerStopper, including safety analysis and experimental results.
BibTeX Citation
@inproceedings{chou2021reachability, title={Reachability Analysis for FollowerStopper: Safety Analysis and Experimental Results}, author={Chou, Fang-Chieh and Gibson, Marsalis and Bhadani, Rahul and Bayen, Alexandre M and Sprinkle, Jonathan}, booktitle={2021 IEEE International Conference on Robotics and Automation (ICRA)}, pages={8607--8613}, year={2021}, organization={IEEE} }
Abstract
This paper presents CAN coach, a system for vehicular control through human cyber-physical systems.
BibTeX Citation
@inproceedings{nice2021can, title={CAN coach: vehicular control through human cyber-physical systems}, author={Nice, Matthew and Elmadani, Safwan and Bhadani, Rahul and Bunting, Matt and Sprinkle, Jonathan and Work, Dan}, booktitle={Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical Systems}, pages={132--142}, year={2021} }
Abstract
This paper presents a bridge for monitoring and data recording from CAN to ROS.
BibTeX Citation
@inproceedings{elmadani2021can, title={From CAN to ROS: A Monitoring and Data Recording Bridge}, author={Elmadani, Safwan and Nice, Matthew and Bunting, Matthew and Sprinkle, Jonathan and Bhadani, Rahul}, booktitle={Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems}, pages={17--21}, year={2021} }
Abstract
This paper presents Libpanda, a high-performance library for vehicle data collection.
BibTeX Citation
@inproceedings{bunting2021libpanda, title={Libpanda: A High Performance Library for Vehicle Data Collection}, author={Bunting, Matthew and Bhadani, Rahul and Sprinkle, Jonathan}, booktitle={Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems}, pages={32--40}, year={2021} }
Abstract
This paper presents an integrated framework of vehicle dynamics, instabilities, energy models, and sparse flow smoothing controllers.
BibTeX Citation
@inproceedings{lee2021integrated, title={Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers}, author={Lee, Jonathan W and Gunter, George and Ramadan, Rabie and Almatrudi, Sulaiman and Arnold, Paige and Aquino, John and Barbour, William and Bhadani, Rahul and Carpio, Joy and Chou, Fang-Chieh and others}, booktitle={Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems}, pages={41--47}, year={2021} }
2020
Abstract
This paper presents safety and stability analysis of the FollowerStopper traffic wave dampening controller.
BibTeX Citation
@conference {followerstopper2020Kreienkamp, title = {Safety and Stability Analysis of the FollowerStopper Traffic Wave Dampening Controller (Late-Breaking Poster)}, booktitle = {American Control Conference}, year = {2020}, month = {07}, author = {Chris Kreienkamp and Daniel Fishbein and Rahul Bhadani and Jonathan Sprinkle} }
Abstract
This work optimizes constellation designs for phase-shift keying coherent states with displacement receivers to maximize mutual information in quantum communication systems.
BibTeX Citation
@ARTICLE{constellation2020bhadani, author={R. {Bhadani} and I. B. {Djordjevic}}, journal={IEEE Access}, title={Constellation Optimization for Phase-shift Keying Coherent States with Displacement Receiver to Maximize Mutual Information}, year={2020}, volume={}, number={}, pages={1-1}, doi={10.1109/ACCESS.2020.3044086} }
Abstract
This paper presents programming approaches for the Kennedy receiver for capacity maximization versus minimizing one-shot error probability.
BibTeX Citation
@inproceedings{bhadani2020programming, title={Programming the Kennedy receiver for capacity maximization versus minimizing one-shot error probability}, author={Bhadani, Rahul and Grace, Michael and Djordjevic, Ivan B and Sprinkle, Jonathan and Guha, Saikat}, booktitle={Laser Science}, pages={JM6B--29}, year={2020}, organization={Optical Society of America} }
Abstract
This paper investigates whether commercially implemented adaptive cruise control systems are string stable.
BibTeX Citation
@inproceedings{gunter2019adaptive, author={G. {Gunter} and D. {Gloudemans} and R. E. {Stern} and S. {McQuade} and R. {Bhadani} and M. {Bunting} and M. L. D. {Monache} and R. {Lysecky} and B. {Seibold} and J. {Sprinkle} and B. {Piccoli} and D. B. {Work}}, journal={IEEE Transactions on Intelligent Transportation Systems}, title={Are Commercially Implemented Adaptive Cruise Control Systems String Stable?}, year={2020}, volume={}, number={}, pages={1-12}, doi={10.1109/TITS.2020.3000682} }
2019
Abstract
This paper presents a sliding window approach for path mapping based on a pseudo-derivative method in autonomous navigation.
BibTeX Citation
@INPROCEEDINGS{bentley2019Sliding, author={L. {Bentley} and J. {MacInnes} and H. {Mason} and R. {Bhadani} and T. {Bose}}, booktitle={2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)}, title={A Sliding Window for Path Mapping Based on a Pseudo-Derivative Method in Autonomous Navigation}, year={2019}, volume={}, number={}, pages={1-4}, doi={10.1109/VTCFall.2019.8891126}, ISSN={2577-2465}, month={Sep.},}
Abstract
This paper presents real-time distance estimation and filtering techniques for vehicle headways to enable effective smoothing of traffic waves in mixed autonomy scenarios.
BibTeX Citation
@inproceedings{bhadani2019real, title={Real-time distance estimation and filtering of vehicle headways for smoothing of traffic waves}, author={Bhadani, Rahul and Bunting, Matthew and Seibold, Benjamin and Stern, Raphael and Cui, Shumo and Sprinkle, Jonathan and Piccoli, Benedetto and Work, Daniel B}, booktitle={Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems}, pages={280--290}, year={2019} }
Abstract
This paper discusses model-based engineering with application to autonomy.
BibTeX Citation
@article{bhadani2019model, title={Model-Based Engineering with Application to Autonomy}, author={Bhadani, Rahul and Bunting, Matt and Sprinkle, Jonathan}, journal={Complexity Challenges in Cyber Physical Systems: Using Modeling and Simulation (M&S) to Support Intelligence, Adaptation and Autonomy}, pages={255--285}, year={2019}, publisher={Wiley Online Library} }
Abstract
This paper presents feedback control algorithms for the dissipation of traffic waves with autonomous vehicles.
BibTeX Citation
@incollection{delle2019feedback, title={Feedback control algorithms for the dissipation of traffic waves with autonomous vehicles}, author={Delle Monache, Maria Laura and Liard, Thibault and Rat, Ana{\"\i}s and Stern, Raphael and Bhadani, Rahul and Seibold, Benjamin and Sprinkle, Jonathan and Work, Daniel B and Piccoli, Benedetto}, booktitle={Computational Intelligence and Optimization Methods for Control Engineering}, pages={275--299}, year={2019}, publisher={Springer} }
Abstract
This paper presents methodology and data for tracking vehicle trajectories and fuel rates in phantom traffic jams.
BibTeX Citation
@article{WU201982, title = "Tracking vehicle trajectories and fuel rates in phantom traffic jams: Methodology and data", journal = "Transportation Research Part C: Emerging Technologies", volume = "99", pages = "82 - 109", year = "2019", issn = "0968-090X", doi = "https://doi.org/10.1016/j.trc.2018.12.012", url = "http://www.sciencedirect.com/science/article/pii/S0968090X18318345", author = "Fangyu Wu and Raphael E. Stern and Shumo Cui and Maria Laura {Delle Monache} and Rahul Bhadani and Matt Bunting and Miles Churchill and Nathaniel Hamilton and R'mani Haulcy and Benedetto Piccoli and Benjamin Seibold and Jonathan Sprinkle and Daniel B. Work" }
2018
Abstract
This paper presents a supervisory controller for dissipation of emergent traffic waves in stop-and-go traffic.
BibTeX Citation
@inproceedings{bhadani2018dissipation, title={Dissipation of emergent traffic waves in stop-and-go traffic using a supervisory controller}, author={Bhadani, Rahul Kumar and Piccoli, Benedetto and Seibold, Benjamin and Sprinkle, Jonathan and Work, Daniel}, booktitle={2018 IEEE Conference on Decision and Control (CDC)}, pages={3628--3633}, year={2018}, organization={IEEE} }
Abstract
This paper presents the CAT Vehicle Testbed, a simulator with hardware in the loop for autonomous vehicle applications.
BibTeX Citation
@inproceedings{bhadani2018cat, title={{The CAT Vehicle Testbed: A Simulator with Hardware in the Loop for Autonomous Vehicle Applications}}, author={Bhadani, Rahul and Sprinkle, Jonathan and Bunting, Matthew}, booktitle={Proceedings 2nd International Workshop on Safe Control of Autonomous Vehicles (SCAV 2018), Porto, Portugal, 10th April 2018, Electronic Proceedings in Theoretical Computer Science 269}, volume={269}, pages={32--47}, year={2018} }
Abstract
This paper presents a LiDAR error model for cooperative driving simulations.
BibTeX Citation
@inproceedings{segata2018lidar, title={A lidar error model for cooperative driving simulations}, author={Segata, Michele and Cigno, Renato Lo and Bhadani, Rahul Kumar and Bunting, Matthew and Sprinkle, Jonathan}, booktitle={2018 IEEE Vehicular Networking Conference (VNC)}, pages={1--8}, year={2018}, organization={IEEE} }
Abstract
This groundbreaking work demonstrates the dissipation of stop-and-go traffic waves through field experiments using autonomous vehicle control, showing significant potential for traffic flow improvement.
BibTeX Citation
@article{stern2018dissipation, title={Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments}, author={Stern, Raphael E and Cui, Shumo and Delle Monache, Maria Laura and Bhadani, Rahul and Bunting, Matt and Churchill, Miles and Hamilton, Nathaniel and Pohlmann, Hannah and Wu, Fangyu and Piccoli, Benedetto and others}, journal={Transportation Research Part C: Emerging Technologies}, volume={89}, pages={205--221}, year={2018}, publisher={Elsevier} }