| Provably safe and robust learning-based model predictive control A Aswani, H Gonzalez, SS Sastry, C Tomlin Automatica 49 (5), 1216-1226, 2013 | 607 | 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 | 345 | 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 | 254 | 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 | 239 | 2012 |
| Inverse optimization with noisy data A Aswani, ZJ Shen, A Siddiq Operations Research 66 (3), 870-892, 2018 | 169 | 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 | 156 | 2018 |
| 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 | 131 | 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 | 107 | 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 | 101 | 2018 |
| Regression on manifolds: Estimation of the exterior derivative A Aswani, P Bickel, C Tomlin | 93 | 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 | 88 | 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 | 83 | 2012 |
| Personalizing mobile fitness apps using reinforcement learning M Zhou, Y Mintz, Y Fukuoka, K Goldberg, E Flowers, P Kaminsky, ... CEUR workshop proceedings 2068, 2018 | 70 | 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 | 67 | 2020 |
| 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 | 63 | 2020 |
| Data-driven incentive design in the medicare shared savings program A Aswani, ZJM Shen, A Siddiq Operations Research 67 (4), 1002-1026, 2019 | 62 | 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 | 53 | 2019 |
| Applying machine learning to predict future adherence to physical activity programs M Zhou, Y Fukuoka, K Goldberg, E Vittinghoff, A Aswani BMC medical informatics and decision making 19, 1-11, 2019 | 49 | 2019 |
| 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 | 44 | 2019 |
| 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 | 39 | 2017 |
