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2. INTEGRATION OF NUMERICAL AND MACHINE LEARNING PROTOCOLS FOR COUPLED RESERVOIR-WELLBORE MODELS: A STUDY FOR GAS LIFT OPTIMIZATION

open_access
Open Access
Author:
Putcha, Venkataramana B
Title:
INTEGRATION OF NUMERICAL AND MACHINE LEARNING PROTOCOLS FOR COUPLED RESERVOIR-WELLBORE MODELS: A STUDY FOR GAS LIFT OPTIMIZATION
Graduate Program:
Energy and Mineral Engineering
Keywords:
numerical simulation
machine learning
gas lift
neural networks
petroleum
production
optimization
File:
Download Venkat_Dissertation_Final.pdf
Committee Members:
Turgay Ertekin, Dissertation Advisor/Co-Advisor
Turgay Ertekin, Committee Chair/Co-Chair
Eugene C Morgan, Committee Member
Kamesh Madduri, Committee Member
Sridhar Anandakrishnan, Outside Member

3. Computational Modeling of Compositional and Relational Data Using Optimal Transport and Probabilistic Models

open_access
Open Access
Author:
Ye, Jianbo
Title:
Computational Modeling of Compositional and Relational Data Using Optimal Transport and Probabilistic Models
Graduate Program:
Information Sciences and Technology
Keywords:
machine learning
optimal transport
optimization
File:
Download jianbo-ye-thesis_fix.pdf
Committee Members:
James Z. Wang, Dissertation Advisor/Co-Advisor
James Z. Wang, Committee Chair/Co-Chair
C. Lee Giles, Committee Member
Zhenhui Jessie Li, Committee Member
Reginald B. Adams, Outside Member
Jia Li, Dissertation Advisor/Co-Advisor
Jia Li, Committee Chair/Co-Chair

4. Temporal and Structural Machine Learning from Transportation Data

open_access
Open Access
Author:
Zhan, Hongyuan
Title:
Temporal and Structural Machine Learning from Transportation Data
Graduate Program:
Computer Science and Engineering
Keywords:
machine learning
time series prediction
optimization
intelligent transportation
structural learning
File:
Download HyZhanDissertation.pdf
Committee Members:
Kamesh Madduri, Dissertation Advisor/Co-Advisor
Kamesh Madduri, Committee Chair/Co-Chair
Jesse Louis Barlow, Committee Member
Wang-Chien Lee, Committee Member
Necdet S Aybat, Outside Member
Kesheng Wu, Special Member
Xiaoye Sherry Li, Special Member
Gabriel Gomes, Special Member

5. Physics-Infused Reduced-Order Modeling of Aerothermal Loads for Fluid-Thermal-Structural Interactions

open_access
Open Access
Author:
Vargas Venegas, Carlos
Title:
Physics-Infused Reduced-Order Modeling of Aerothermal Loads for Fluid-Thermal-Structural Interactions
Graduate Program:
Aerospace Engineering (MS)
Keywords:
hypersonic
fluid-thermal-structural
aerothermoelasticity
data-driven
physics-driven
physics-based
reduced-order modeling
machine learning
field inversion
aerothermal
turbulent viscous-inviscid interactions
neural ordinary differential equations
direct collocation
optimization
kriging
proper-orthogonal decomposition
latin hypercube sampling
thermoelastic
hypersonic vehicle
RANS
skin-panel
two-dimensional
gaussian process regression
computational fluid dynamics
supported panel
augmentation
augmented
model augmentation
surrogate
POD-kriging
POD
algebraic
differential
algebraic augmentation
differential augmentation
NODE
PIROM
analysis
File:
Download ms-thesis-corrected.pdf
Committee Members:
Daning Huang, Thesis Advisor/Co-Advisor
Puneet Singla, Committee Member
Amy Pritchett, Program Head/Chair
Sven Schmitz, Committee Member