anil aswani
anil aswani
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Cited by
Cited by
Provably safe and robust learning-based model predictive control
A Aswani, H Gonzalez, SS Sastry, C Tomlin
Automatica 49 (5), 1216-1226, 2013
Reducing transient and steady state electricity consumption in HVAC using learning-based model-predictive control
A Aswani, N Master, J Taneja, D Culler, C Tomlin
Proceedings of the IEEE 100 (1), 240-253, 2011
Expression-level optimization of a multi-enzyme pathway in the absence of a high-throughput assay
ME Lee, A Aswani, AS Han, CJ Tomlin, JE Dueber
Nucleic acids research 41 (22), 10668-10678, 2013
Learning-based model predictive control on a quadrotor: Onboard implementation and experimental results
P Bouffard, A Aswani, C Tomlin
2012 IEEE International Conference on Robotics and Automation, 279-284, 2012
Inverse optimization with noisy data
A Aswani, ZJ Shen, A Siddiq
Operations Research 66 (3), 870-892, 2018
Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer
T Risom, EM Langer, MP Chapman, J Rantala, AJ Fields, C Boniface, ...
Nature communications 9 (1), 1-17, 2018
Identifying models of HVAC systems using semiparametric regression
A Aswani, N Master, J Taneja, V Smith, A Krioukov, D Culler, C Tomlin
2012 American Control Conference (ACC), 3675-3680, 2012
Feasibility of reidentifying individuals in large national physical activity data sets from which protected health information has been removed with use of machine learning
L Na, C Yang, CC Lo, F Zhao, Y Fukuoka, A Aswani
JAMA network open 1 (8), e186040-e186040, 2018
Regression on manifolds: Estimation of the exterior derivative
A Aswani, P Bickel, C Tomlin
The Annals of Statistics 39 (1), 48-81, 2011
Extensions of learning-based model predictive control for real-time application to a quadrotor helicopter
A Aswani, P Bouffard, C Tomlin
2012 American Control Conference (ACC), 4661-4666, 2012
Energy-efficient building HVAC control using hybrid system LBMPC
A Aswani, N Master, J Taneja, A Krioukov, D Culler, C Tomlin
IFAC Proceedings Volumes 45 (17), 496-501, 2012
Evaluating machine learning–based automated personalized daily step goals delivered through a mobile phone app: Randomized controlled trial
M Zhou, Y Fukuoka, Y Mintz, K Goldberg, P Kaminsky, E Flowers, ...
JMIR mHealth and uHealth 6 (1), e9117, 2018
Personalizing mobile fitness apps using reinforcement learning
M Zhou, Y Mintz, Y Fukuoka, K Goldberg, E Flowers, P Kaminsky, ...
CEUR workshop proceedings 2068, 2018
Data-driven incentive design in the medicare shared savings program
A Aswani, ZJM Shen, A Siddiq
Operations Research 67 (4), 1002-1026, 2019
Convex formulations for fair principal component analysis
M Olfat, A Aswani
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 663-670, 2019
Detecting generalized replay attacks via time-varying dynamic watermarking
M Porter, P Hespanhol, A Aswani, M Johnson-Roberson, R Vasudevan
IEEE Transactions on Automatic Control 66 (8), 3502-3517, 2020
Dynamic watermarking for general LTI systems
P Hespanhol, M Porter, R Vasudevan, A Aswani
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1834-1839, 2017
Behavioral modeling in weight loss interventions
A Aswani, P Kaminsky, Y Mintz, E Flowers, Y Fukuoka
European journal of operational research 272 (3), 1058-1072, 2019
Spectral algorithms for computing fair support vector machines
M Olfat, A Aswani
International Conference on Artificial Intelligence and Statistics, 1933-1942, 2018
Nonstationary bandits with habituation and recovery dynamics
Y Mintz, A Aswani, P Kaminsky, E Flowers, Y Fukuoka
Operations Research 68 (5), 1493-1516, 2020
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