Harshad Khadilkar
Harshad Khadilkar
Principal Research Scientist, Franklin Templeton; Visiting Associate Professor, IIT Bombay
Verified email at - Homepage
Cited by
Cited by
Demonstration of reduced airport congestion through pushback rate control
I Simaiakis, H Khadilkar, H Balakrishnan, TG Reynolds, RJ Hansman
Transportation Research Part A: Policy and Practice 66, 251-267, 2014
Estimation of aircraft taxi fuel burn using flight data recorder archives
H Khadilkar, H Balakrishnan
Transportation Research Part D: Transport and Environment 17 (7), 532-537, 2012
A scalable reinforcement learning algorithm for scheduling railway lines
H Khadilkar
IEEE Transactions on Intelligent Transportation Systems 20 (2), 727-736, 2018
Optimising lockdown policies for epidemic control using reinforcement learning: An AI-driven control approach compatible with existing disease and network models
H Khadilkar, T Ganu, DP Seetharam
Transactions of the Indian National Academy of Engineering 5 (2), 129-132, 2020
Network congestion control of airport surface operations
H Khadilkar, H Balakrishnan
Journal of Guidance, Control, and Dynamics 37 (3), 933-940, 2014
Data-enabled stochastic modeling for evaluating schedule robustness of railway networks
H Khadilkar
Transportation Science 51 (4), 1161-1176, 2017
Multi-user energy consumption monitoring and anomaly detection with partial context information
P Arjunan, HD Khadilkar, T Ganu, ZM Charbiwala, A Singh, P Singh
Proceedings of the 2nd ACM international conference on embedded systems for …, 2015
High confidence networked control for next generation air transportation systems
P Park, H Khadilkar, H Balakrishnan, CJ Tomlin
IEEE Transactions on Automatic Control 59 (12), 3357-3372, 2014
A generalized reinforcement learning algorithm for online 3d bin-packing
R Verma, A Singhal, H Khadilkar, A Basumatary, S Nayak, HV Singh, ...
arXiv preprint arXiv:2007.00463, 2020
Actor based simulation for closed loop control of supply chain using reinforcement learning
S Barat, H Khadilkar, H Meisheri, V Kulkarni, V Baniwal, P Kumar, ...
Proceedings of the 18th international conference on autonomous agents and …, 2019
Individual and aggregate electrical load forecasting: One for all and all for one
S Bandyopadhyay, T Ganu, H Khadilkar, V Arya
Proceedings of the 2015 ACM Sixth International Conference on Future Energy …, 2015
Reinforcement learning for multi-product multi-node inventory management in supply chains
NN Sultana, H Meisheri, V Baniwal, S Nath, B Ravindran, H Khadilkar
arXiv preprint arXiv:2006.04037, 2020
Scalable multi-product inventory control with lead time constraints using reinforcement learning
H Meisheri, NN Sultana, M Baranwal, V Baniwal, S Nath, S Verma, ...
Neural Computing and Applications 34 (3), 1735-1757, 2022
Integrated control of airport and terminal airspace operations
H Khadilkar, H Balakrishnan
IEEE Transactions on Control Systems Technology 24 (1), 216-225, 2015
Revisiting state augmentation methods for reinforcement learning with stochastic delays
S Nath, M Baranwal, H Khadilkar
Proceedings of the 30th ACM International Conference on Information …, 2021
A multi-modal unscented Kalman filter for inference of aircraft position and taxi mode from surface surveillance data
H Khadilkar, H Balakrishnan
11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference …, 2011
A rolling horizon optimisation model for consolidated hump yard operational planning
S Raut, SK Sinha, H Khadilkar, S Salsingikar
Journal of Rail Transport Planning & Management 9, 3-21, 2019
Fast approximate solutions using reinforcement learning for dynamic capacitated vehicle routing with time windows
NN Sultana, V Baniwal, A Basumatary, P Mittal, S Ghosh, H Khadilkar
arXiv preprint arXiv:2102.12088, 2021
A reinforcement learning framework for container selection and ship load sequencing in ports
R Verma, S Saikia, H Khadilkar, P Agarwal, G Shroff, A Srinivasan
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
Analysis and modeling of airport surface operations
HHD Khadilkar
Massachusetts Institute of Technology, 2011
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