Congratulations to the AMSC Spring 2025 Degree Recipients
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Dr. Jiajing Guan Dissertation: Resolving Steep Gradients for Physics-Informed Neural Networks: Richards’ Equation and Convection-Diffusion Equation Advisor: Howard Elman |
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Dr. Ran Tao Dissertation: Fluctuations of Half-Space KPZ: from 1/2 to 1/3 Advisor: Yu Gu |
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Dr. Marco Bornstein Dissertation: Artificial Intelligence on the Edge: From Learning to Deployment Advisor: Furong Huang |
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Dr. Yuancheng Xu Dissertation: Aligning AI with Human Values: A Path to Trustworthy AI Advisor: Furong Huang |
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Dr. Eric Kubischta Dissertation: Quantum Codes from Symmetry Advisor: Jonathan Rosenberg |
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Dr. Ian Teixeira Dissertation: Quantum Codes, Transversal Gates, and Representation Theory Advisor: Jonathan Rosenberg |
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Dr. AlFahad AlQadhi Dissertation: Mining and Testing on Hierarchical Stochastic Blockmodels Advisor: Vince Lyzinski |
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Dr. Jiaqi Wang Dissertation: New Problems and Algorithms in Combinatorial Optimization Advisor: Ilya Ryzhov |
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Dr. Zhirui Li Dissertation: Extending Theories of the Graph Matching Problem and Its Variants Advisor: Vince Lyzinski |
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Dr. Max Springer Dissertation: The Price of Fairness in Algorithmic Decision Making Advisor: MohammadTaghi Hajiaghayi |
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Dr. Shuhan Kou Dissertation: Statistical and Machine Learning Approaches for Estimating Optimal Solution Values in Combinatorial Optimization: Applications to the Traveling Salesman and Vehicle Routing Problems Advisor: Bruce Golden |
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Dr. Zezheng Song Dissertation: From Instance-Specific Training to Generalizable Solvers: Advancing Machine Learning for Scientific Computing Advisor: Haizhao Yang |
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Dr. Cole Saborio Dissertation: Spike-Triggered Methods for Characterizing Neural Receptive Fields Advisor: Daniel Butts |
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Dr. Aditi Sen Dissertation: Improving Measurement Error and Representativeness in Nonprobability Surveys Advisor: Partha Lahiri |
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Valerie Wray Scholarly Paper: Inferring Evolutionary Histories of Genomes Using Ancestral Recombination Graphs Advisor: Mihai Pop |
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Dr. Isabelle Stepler Scholarly Paper: Machine Learning-Based Troubled-Cell Indicators for RKDG Methods Advisor: Deep Ray |