Madhur Behl
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Autonomous vehicles on the edge: A survey on autonomous vehicle racing
J Betz, H Zheng, A Liniger, U Rosolia, P Karle, M Behl, V Krovi, ...
IEEE Open Journal of Intelligent Transportation Systems 3, 458-488, 2022
MLE+ a tool for integrated design and deployment of energy efficient building controls
W Bernal, M Behl, TX Nghiem, R Mangharam
Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for …, 2012
Forecasting groundwater table in a flood prone coastal city with long short-term memory and recurrent neural networks
BD Bowes, JM Sadler, MM Morsy, M Behl, JL Goodall
Water 11 (5), 1098, 2019
DR-Advisor: A data-driven demand response recommender system
M Behl, F Smarra, R Mangharam
Applied Energy 170, 30-46, 2016
F1/10: An open-source autonomous cyber-physical platform
M O'Kelly, V Sukhil, H Abbas, J Harkins, C Kao, YV Pant, R Mangharam, ...
arXiv preprint arXiv:1901.08567, 2019
Green scheduling of control systems for peak demand reduction
TX Nghiem, M Behl, R Mangharam, GJ Pappas
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
Training machine learning surrogate models from a high‐fidelity physics‐based model: Application for real‐time street‐scale flood prediction in an urban coastal community
FT Zahura, JL Goodall, JM Sadler, Y Shen, MM Morsy, M Behl
Water Resources Research 56 (10), e2019WR027038, 2020
Data-driven model predictive control with regression trees—an application to building energy management
A Jain, F Smarra, M Behl, R Mangharam
ACM Transactions on Cyber-Physical Systems 2 (1), 1-21, 2018
Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5
JM Sadler, JL Goodall, M Behl, MM Morsy, TB Culver, BD Bowes
Environmental Modelling & Software 120, 104484, 2019
Exploring real-time control of stormwater systems for mitigating flood risk due to sea level rise
JM Sadler, JL Goodall, M Behl, BD Bowes, MM Morsy
Journal of Hydrology 583, 124571, 2020
Data Predictive Control for building energy management
A Jain, M Behl, R Mangharam
Proceedings of the 3rd ACM International Conference on Systems for Energy …, 2016
Flood mitigation in coastal urban catchments using real-time stormwater infrastructure control and reinforcement learning
BD Bowes, A Tavakoli, C Wang, A Heydarian, M Behl, PA Beling, ...
Journal of Hydroinformatics 23 (3), 529-547, 2021
Data-driven modeling, control and tools for cyber-physical energy systems
M Behl, A Jain, R Mangharam
Proceedings of the 7th International Conference on Cyber-Physical Systems, 35, 2016
Green scheduling: Scheduling of control systems for peak power reduction
T Nghiem, M Behl, GJ Pappas, R Mangharam
2011 International Green Computing Conference and Workshops, 1-8, 2011
f1tenth. dev-an open-source ros based f1/10 autonomous racing simulator
VS Babu, M Behl
2020 IEEE 16th International Conference on Automation Science and …, 2020
Scalable scheduling of building control systems for peak demand reduction
TX Nghiem, M Behl, R Mangharam, GJ Pappas
2012 American Control Conference (ACC), 3050-3055, 2012
Estimating impacts of recurring flooding on roadway networks: a Norfolk, Virginia case study
S Praharaj, TD Chen, FT Zahura, M Behl, JL Goodall
Natural hazards 107, 2363-2387, 2021
Autonomous electric vehicle charging system
M Behl, J DuBro, T Flynt, I Hameed, G Lang, F Park
2019 Systems and information engineering design symposium (SIEDS), 1-6, 2019
Deep learning using physically-informed input data for wetland identification
GL O'Neil, JL Goodall, M Behl, L Saby
Environmental modelling & software 126, 104665, 2020
DeepRacing: A framework for autonomous racing
T Weiss, M Behl
2020 Design, automation & test in Europe conference & exhibition (DATE …, 2020
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