Congratulations to the AMSC Spring 2023 PhD Graduates
Congratulations to the AMSC Spring 2023 PhD graduates! You can view the official departmental announcement here.
Dr. Kayla Davie Dissertation: Model-Order Reduction for Parameter-Dependent Partial Differential Equations with Constraints Advisor: Howard Elman |
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Dr. Luke Evans Dissertation: Mahalanobis Diffusion Maps For Quantifying Rare Events: Advisor: Maria Cameron and Pratyush Tiwary |
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Dr. Jingcheng Lu Dissertation: Swarm Dynamics: Flocking and Communication-Based Optimization Advisor: Eitan Tadmor |
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Dr. Avi Schwarzschild Dissertation: Deep Thinking Systems: Logical Extrapolation with Recurrent Neural Networks Advisor: Tom Goldstein |
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Dr. Cem Unsal Dissertation: Quantum Combinatorial Optimization Algorithms for Packing Problems in Classical Computing and Networking Advisor: Yavuz A Oruc |
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Dr. Daochen Wang Dissertation: Quantum Speedups: Structure, Design, and Applicatio Advisor: Andrew M. Childs and Carl A. Miller |
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Dr. Yi Zhou Dissertation: Simulation Optimization: Effecient Selection and Dynamic Programing Advisor: Michael Fu |