CSL PhD Thesis Award
CSL seeks to leverage excellence in disciplinary research to have a societal impact through interdisciplinary solutions that address major societal problems. The CSL PhD Thesis award is bestowed annually to a researcher whose PhD thesis makes advances in a disciplinary area that has an interdisciplinary angle.
PhD Winner | Year | Thesis Title |
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Brian Doolittle | 2024 | Pushing Boundaries: From foundations in quantum physics to applications in quantum networking |
Jin Won Kim | 2023 | Duality for Nonlinear Filtering |
Kaiqing Zhang | 2022 | Reinforcement Learning for Multi-Agent and Robust Control Systems: Towards Large-scale and Reliable Autonomy |
Yoga Varatharajah | 2021 | Domain-guided Machine Learning for Health Analytics: The Case for Neurological Diseases |
Chuchu Fan | 2020 | Verification and Synthesis Algorithms for Safe Autonomy |
Nirupam Roy | 2019 | Acoustics in the Age of IoT: Challenges, Opportunities, and Threats |
Mingu Kang | 2018 | Deep in Memory Computing |
Qiaomin Xie | 2017 | Resource Allocation in Datacenter Networks: Novel Algorithms, State Space Collapse and Delay Minimization |
Seyed Rasoul Etesami | 2016 | Game-Theoretic Analysis of the Hegselmann-Krause Model for Opinion Dynamics in Finite Dimensions |
PhD Honorable Mention | Year | Thesis Title |
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Raymond Yeh | 2022 | Extracting and Learning Structures from Data |