Sotabase

Career

· Associate Professor, IEOR, University of California, Berkeley2010–

Publications (91)

Provably safe and robust learning-based model predictive control
at - Automatisierungstechnik · 2011
551
cited
Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control
Proceedings of the IEEE · 2012
285
cited
Expression-level optimization of a multi-enzyme pathway in the absence of a high-throughput assay
Nucleic Acids Research · 2013
209
cited
Learning-based model predictive control on a quadrotor: Onboard implementation and experimental results
IEEE International Conference on Robotics and Automation · 2012
199
cited
Inverse Optimization with Noisy Data
Operational Research · 2015
171
cited
Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer
Nature Communications · 2018
141
cited
Evaluating Machine Learning–Based Automated Personalized Daily Step Goals Delivered Through a Mobile Phone App: Randomized Controlled Trial
JMIR mHealth and uHealth · 2018
94
cited
Identifying models of HVAC systems using semiparametric regression
American Control Conference · 2012
84
cited
Extensions of learning-based model predictive control for real-time application to a quadrotor helicopter
American Control Conference · 2012
80
cited
Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking
IEEE Transactions on Automatic Control · 2019
79
cited
Regression on manifolds: Estimation of the exterior derivative
2011
72
cited
Non-Stationary Bandits with Habituation and Recovery Dynamics
Operational Research · 2017
64
cited
Energy-Efficient Building HVAC Control Using Hybrid System LBMPC
arXiv.org · 2012
62
cited
Personalizing Mobile Fitness Apps using Reinforcement Learning
IUI Workshops · 2018
60
cited
Convex Formulations for Fair Principal Component Analysis
AAAI Conference on Artificial Intelligence · 2018
54
cited
Behavioral Modeling in Weight Loss Interventions
European Journal of Operational Research · 2016
49
cited
Data-Driven Incentive Design in the Medicare Shared Savings Program
Operational Research · 2018
47
cited
Applying machine learning to predict future adherence to physical activity programs
BMC Medical Informatics and Decision Making · 2019
40
cited
Spectral Algorithms for Computing Fair Support Vector Machines
International Conference on Artificial Intelligence and Statistics · 2017
36
cited
Dynamic watermarking for general LTI systems
IEEE Conference on Decision and Control · 2017
35
cited
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Anil Aswani | Researcher Profile | Sotabase | Sotabase