Green scheduling of control systems for peak demand reduction. - Truong Nghiem; Madhur Behl; Rahul Mangharam; George J. Pappas (CDC/ECC, 2011)

Green scheduling: Scheduling of control systems for peak power reduction. - Truong Nghiem; Madhur Behl; George J. Pappas; Rahul Mangharam (IGCC, 2011)

EnRoute: An energy router for energy-efficient buildings. - Madhur Behl; Mansimar Aneja; Harsh Jain; Rahul Mangharam (IPSN, 2011)

Demo abstract: AutoPlug - An automotive test-bed for ECU testing, validation and verification. - Utsav Drolia; Zhenyan Wang; Srinivas Vemuri; Madhur Behl; Rahul Mangharam (IPSN, 2011)

On the Feasibility of Linear Discrete-Time Systems of the Green Scheduling Problem. - Zheng Li; Pei-Chi Huang; Aloysius K. Mok; Truong Nghiem; Madhur Behl; George J. Pappas; Rahul Mangharam (RTSS, 2011)

Scalable scheduling of building control systems for peak demand reduction. - Truong X. Nghiem; Madhur Behl; Rahul Mangharam; George J. Pappas (ACC, 2012)

Green scheduling for radiant systems in buildings. - Truong Nghiem; Madhur Behl; George J. Pappas; Rahul Mangharam (CDC, 2012)

Green Scheduling for Energy-Efficient Operation of Multiple Chiller Plants. - Madhur Behl; Truong Nghiem; Rahul Mangharam (RTSS, 2012)

MLE+: a tool for integrated design and deployment of energy efficient building controls. - Willy Bernal; Madhur Behl; Truong X. Nghiem; Rahul Mangharam (BuildSys@SenSys, 2012)

MLE+: design and deployment integration for energy-efficient building controls. - Willy Bernal; Madhur Behl; Truong Nghiem; Rahul Mangharam (BuildSys@SenSys, 2012)

Demo abstract: EnergyLab: building energy testbed for demand-response. - Madhur Behl; Neel D. Shah; Larry Vadakedathu; Dan Wheeler; Rahul Mangharam (IPSN, 2013)

IMpACT: Inverse model accuracy and control performance toolbox for buildings. - Madhur Behl; Truong X. Nghiem; Rahul Mangharam (CASE, 2014)

Model-IQ: Uncertainty propagation from sensing to modeling and control in buildings. - Madhur Behl; Truong X. Nghiem; Rahul Mangharam (ICCPS, 2014)

Distributed control of a swarm of buildings connected to a smart grid: demo abstract. - Baris Aksanli; Alper Sinan Akyurek; Madhur Behl; Meghan Clark; Alexandre Donzé; Prabal Dutta; Patrick Lazik; Mehdi Maasoumy; Rahul Mangharam; Truong X. Nghiem; Vasumathi Raman; Anthony Rowe 001; et al. (BuildSys, 2014)

Poster Abstract: A Data-Driven Demand Response Recommender System. - Madhur Behl; Rahul Mangharam (BuildSys, 2015)

Sometimes, Money Does Grow On Trees: Data-Driven Demand Response with DR-Advisor. - Madhur Behl; Rahul Mangharam (BuildSys, 2015)

Three challenges in cyber-physical systems. - Rahul Mangharam; Houssam Abbas; Madhur Behl; Kuk Jin Jang; Miroslav Pajic; Zhihao Jiang (COMSNETS, 2016)

Data-Driven Modeling, Control and Tools for Cyber-Physical Energy Systems. - Madhur Behl; Achin Jain; Rahul Mangharam (ICCPS, 2016)

Data Predictive Control for Building Energy Management: Poster Abstract. - Achin Jain; Madhur Behl; Rahul Mangharam (BuildSys, 2016)

Data Predictive Control for Peak Power Reduction. - Achin Jain; Rahul Mangharam; Madhur Behl (BuildSys, 2016)

Data Predictive Control for building energy management. - Achin Jain; Madhur Behl; Rahul Mangharam (ACC, 2017)

The internet of wasted things (IoWT). - Arash Tavakoli; Amir Ashrafi; Arsalan Heydarian; Madhur Behl (IOT, 2018)

Trust me, my neighbors say it's raining outside: ensuring data trustworthiness for crowdsourced weather stations. - Alexander B. Chen; Madhur Behl; Jonathan L. Goodall (BuildSys, 2018)

Reputation system for ensuring data trustworthiness of crowdsourced weather stations: poster abstract. - Alexander B. Chen; Madhur Behl; Jonathan L. Goodall (BuildSys, 2018)

Data-Driven Model Predictive Control with Regression Trees - An Application to Building Energy Management. - Achin Jain; Francesco Smarra; Madhur Behl; Rahul Mangharam (ACM Trans. Cyber Phys. Syst., 2018)

F1/10: An Open-Source Autonomous Cyber-Physical Platform. - Matthew O'Kelly; Varundev Sukhil; Houssam Abbas; Jack Harkins; Chris Kao; Yash Vardhan Pant; Rahul Mangharam; Dipshil Agarwal; Madhur Behl; Paolo Burgio; Marko Bertogna (CoRR, 2019)

Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5. - Jeffrey M. Sadler; Jonathan L. Goodall; Madhur Behl; Mohamed M. Morsy; Teresa B. Culver; Benjamin D. Bowes (Environ. Model. Softw., 2019)

f1tenth.dev - An Open-source ROS based F1/10 Autonomous Racing Simulator. - Varundev Suresh Babu; Madhur Behl (CASE, 2020)

DeepRacing: A Framework for Autonomous Racing. - Trent Weiss; Madhur Behl (DATE, 2020)

DeepRacing: Parameterized Trajectories for Autonomous Racing. - Trent Weiss; Madhur Behl (CoRR, 2020)

Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning. - Hyun Jae Cho; Madhur Behl (CoRR, 2020)

Deep learning Using Physically-Informed Input Data for Wetland Identification. - Gina L. O'Neil; Jonathan L. Goodall; Madhur Behl; Linnea Saby (Environ. Model. Softw., 2020)

Scenario2Vector: scenario description language based embeddings for traffic situations. - Aron Harder; Jaspreet Ranjit; Madhur Behl (ICCPS, 2021)

Adaptive Lookahead Pure-Pursuit for Autonomous Racing. - Varundev Sukhil; Madhur Behl (CoRR, 2021)

Data-Driven Model Predictive Control For Real-Time Stormwater Management. - Jingyun Ning; Benjamin D. Bowes; Jonathan L. Goodall; Madhur Behl (ACC, 2022)

Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. - Johannes Betz; Hongrui Zheng; Alexander Liniger; Ugo Rosolia; Phillip Karle; Madhur Behl; Venkat Krovi; Rahul Mangharam (CoRR, 2022)

Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom. - Johannes Betz; Hongrui Zheng; Zirui Zang; Florian Sauerbeck; Krzysztof Walas; Velin Dimitrov; Madhur Behl; Rosa Zheng; Joydeep Biswas; Venkat Krovi; Rahul Mangharam (CoRR, 2022)

This is the Way: Differential Bayesian Filtering for Agile Trajectory Synthesis. - Trent Weiss; Madhur Behl (IEEE Robotics Autom. Lett., 2022)

Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing. - Jingyun Ning; Madhur Behl (CoRL, 2023)

RACECAR - The Dataset for High-Speed Autonomous Racing. - Amar Kulkarni; John Chrosniak; Emory Ducote; Florian Sauerbeck; Andrew Saba; Utkarsh Chirimar; John Link; Madhur Behl; Marcello Cellina (IROS, 2023)

Stress Testing for Resilience of Semiconductor Supply Chains. - Zachary A. Collier; Davis C. Loose; Elvie Sellers; Thomas L. Polmateer; Madhur Behl; Igor Linkov; James H. Lambert (UEMCON, 2023)

Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes. - Jingyun Ning; Madhur Behl (CoRR, 2023)

Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Informed Neural Network for Autonomous Racing. - John Chrosniak; Jingyun Ning; Madhur Behl (CoRR, 2023)

Automated Traffic Scenario Description Extraction Using Video Transformers. - Aron Harder; Madhur Behl (DATE, 2024)

ARGOS: An Automaton Referencing Guided Overtake System for Head-to-Head Autonomous Racing. - Varundev Sukhil; Madhur Behl (CoRR, 2024)

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening. - Amar Kulkarni; Shangtong Zhang; Madhur Behl (CoRR, 2024)

Editorial: Special Issue on Opportunities and Challenges with Autonomous Racing. - Johannes Betz; Venkat Krovi; Rahul Mangharam; Madhur Behl (Field Robotics, 2024)

Deep Dynamics: Vehicle Dynamics Modeling With a Physics-Constrained Neural Network for Autonomous Racing. - John Chrosniak; Jingyun Ning; Madhur Behl (IEEE Robotics Autom. Lett., 2024)

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing. - Jingyun Ning; Madhur Behl (L4DC, 2025)

Trajectory-to-Action Pipeline (TAP): Automated Scenario Description Extraction for Autonomous Vehicle Behavior Comparison. - Aron Harder; Madhur Behl (CoRR, 2025)

HALO: Fault-Tolerant Safety Architecture For High-Speed Autonomous Racing. - Aron Harder; Amar Kulkarni; Madhur Behl (CoRR, 2025)

Probabilistic Collision Risk Estimation through Gauss-Legendre Cubature and Non-Homogeneous Poisson Processes. - Trent Weiss; Madhur Behl (CoRR, 2025)

DBF-MA: A Differential Bayesian Filtering Planner for Multi-Agent Autonomous Racing Overtakes. - Trent Weiss; Amar Kulkarni; Madhur Behl (CoRR, 2025)