Biblio
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2015. Data-driven activity prediction: algorithms, evaluation methodology, and applications. International Conference on Knowledge Discovery and Data Mining.
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2017. Learning activity predictors from sensor data: Algorithms, evaluation, and applications. IEEE Transactions on Knowledge and Data Engineering.
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2017. Using smart environment technologies to monitor and assess everyday functioning and deliver real-time intervention. The Role of Technology in Clinical Neuropsychology.
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Submitted. Stochastic Optimal Power Flow Based on Data- Driven Distributionally Robust Optimization. American Control Conference.
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2017. Active Preference-Based Learning of Reward Functions. Proceedings of the Robotics: Science and Systems Conference (RSS).
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2016. Information Gathering Actions Over Human Internal State. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :66–73.
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2016. Towards trustworthy automation: User interfaces that convey internal and external awareness. 19th {IEEE} International Conference on Intelligent Transportation Systems (ITSC). :682–688.
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2015. On compositional symbolic controller synthesis inspired by small-gain theorems. Decision and Control (CDC), 2015 IEEE 54th Annual Conference on. :6133–6138.
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2016. Decomposing controller synthesis for safety specifications. Decision and Control (CDC), 2016 IEEE 55th Conference on. :5720–5725.
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2016. Synthesis of safety controllers robust to unmodeled intermittent disturbances. Decision and Control (CDC), 2016 IEEE 55th Conference on. :7425–7430.
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2016. A dataset for visual navigation with neuromorphic methods. Frontiers in neuroscience. 10
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2015. Coactivator-Dependent Oscillation of Chromatin Accessibility Dictates Circadian Gene Amplitude via REV-ERB Loading}. Mol. Cell. 60:769–783.
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2017. A Cell-Autonomous Mammalian 12 hr Clock Coordinates Metabolic and Stress Rhythms}. Cell Metab.. 25:1305–1319.
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2014. Decentralized supervisory control of discrete event systems with unknown plants: A learning-based synthesis approach. Control & Automation (ICCA), 11th IEEE International Conference on. :186–191.
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2014. A learning-based synthesis approach to decentralized supervisory control of discrete event systems with unknown plants. Control Theory and Technology. 12:218–233.
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2014. Automatic synthesis of cooperative multi-agent systems. Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on. :6173–6178.
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2015. Learning-based design of fault-tolerant cooperative multi-agent systems. American Control Conference (ACC), 2015. :1929–1934.
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2015. Combined Top-down and Bottom-up Approach to Cooperative Distributed Multi-agent Control with Connectivity Constraints. IFAC-PapersOnLine. 48:224–229.
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2016. Learning-based formal synthesis of cooperative multi-agent systems with an application to robotic coordination. Control and Automation (MED), 2016 24th Mediterranean Conference on. :1008–1013.
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2016. Achieving fault-tolerance and safety of discrete-event systems through learning. American Control Conference (ACC), 2016. :4835–4840.
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2016. Formal design of robot integrated task and motion planning. Decision and Control (CDC), 2016 IEEE 55th Conference on. :6589–6594.
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2017. Distributed Communication-aware Motion Planning for Multi-agent Systems from STL and SpaTeL Specifications. arXiv preprint arXiv:1705.10259.
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2017. Communication-aware Motion Planning for Multi-agent Systems from Signal Temporal Logic Specifications. arXiv preprint arXiv:1705.11085.
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2017. Coordination and Control of Distributed Discrete-event Systems subject to Sensor and Actuator Failures. arXiv preprint arXiv:1707.05428.