Congratulations to AMSC's Spring 2018 Graduates and Newly Advanced Doctoral Candidates!
Ph.D. May 2018:
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Dr. Matthew Becker Dissertation: Modeling the Transfer of Drug Resistance in Solid Tumors Advisor: Dr. Doron Levy |
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Dr. Quan Bui Dissertation: Fast Solvers and Preconditioners for Multiphase Flow in Porous Media Advisor: Dr. Howard Elman |
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Dr. Cheng Jie Dissertation: Decision Making Under Uncertainty: New Models and Control Advisor: Dr. Michael Fu |
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Dr. Judith Law Dissertation: Estimation of a Function of a Large Covariance Matrix Using Classical and Bayesian Methods Advisor: Dr. Partha Lahiri |
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Dr. Xia Li Dissertation: Misspecified weights in weight-smoothing methods Advisor: Dr. Eric Slud |
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Dr. Yiran Li Dissertation: Feature extraction in image processing and deep learning Advisor: Dr. Wojciech Czaja |
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Dr. Dimitrios Ntogkas Dissertation: Non-Linear Geometric PDEs: Algorithms, Numerical Analysis and Computation Advisor: Dr. Ricardo Nochetto |
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Dr. Matthew Whiteway Dissertation: A latent variable modeling framework for analyzing neural population activity Advisor: Dr. Daniel Butts |
M.S. May 2018:
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Farzad Daneshgar Scholarly Paper: A Mathematical Model to Determine the Allocation of Dynamic Message Signs in a Network Advisor: Dr. Steven Gabriel |
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Graham Antoszewski Scholarly Paper: Exploration of Adaptive Experimental Design Methods for Material Structure and Optimal Property Identification Advisor: Dr. Hector Corrada Bravo |
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Kayla Davie Scholarly Paper: Preconditioners for PDE-Constrained Optimization Problems Advisor: Dr. Howard Elman |
Newly Advanced Doctoral Candidates:
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Danielle Middlebrooks |
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Guowei Sun |