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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

Author:

Hackett, Timothy Michael

Title:

Applying artificial intelligence to space communications networks: Cognitive real-time link layer adaptations through rapid orbit planning

Graduate Program:

Electrical Engineering

Keywords:

artificial neural networks
neural networks
modulation
encoding
cognitive radio
space communications
machine learning
reinforcement learning
scheduling
block scheduling
demand access scheduling
beacon tone
network simulation
coverage statistics
mean pass time
mean gap time
max gap time
mean passes per day
artificial intelligence
software-defined radio
Deep Space Network

File:

Download Hackett-Dissertation_Final.pdf

Committee Members:

Sven G Bilen, Dissertation Advisor/Co-Advisor
Sven G Bilen, Committee Chair/Co-Chair
Julio Urbina, Committee Member
Viveck Ramesh Cadambe, Committee Member
Mark P Mahon, Outside Member
Alexander M. Wyglinski, Special Member

Author:

Yu, Monong

Title:

Cosmic-ray iron spectrum measured by the ISS-CREAM experiment

Graduate Program:

Physics (PHD)

Keywords:

cosmic rays
direct measurements
machine learning
neural networks

File:

Download Monong_Yu_Dissertation.pdf

Committee Members:

Miguel Mostafa, Major Field Member
Douglas Cowen, Major Field Member
Stephane Coutu, Chair & Dissertation Advisor
Randy McEntaffer, Outside Unit & Field Member
Nitin Samarth, Program Head/Chair
Stephanie Wissel, Major Field Member

Author:

Sha, Congzhou

Title:

Manifold Learning in Structural Biology: Docking, Folding, and Simulation

Graduate Program:

Engineering Science and Mechanics (PHD)

Keywords:

differentiable programming
machine learning
neural networks
structural biology
Lie group
statistical mechanics
molecular dynamics
RNA structure
differential geometry

File:

Download Sha_dissertation-Final.pdf

Committee Members:

Albert Segall, Program Head/Chair
Elizabeth Proctor, Major Field Member
Mehrdad Mahdavi, Outside Field Member
Nikolay Dokholyan, Chair & Dissertation Advisor
Raymond Hohl, Outside Unit Member