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Author:

Sterge, Nicholas

Title:

COMPUTATIONAL-STATISTICAL TRADEOFF IN APPOROXIMATE KERNEL PRINCIPAL COMPONENT ANALYSIS

Graduate Program:

Statistics (PHD)

Keywords:

Statistics
Kernel Methods
Machine Learning
Principal Component Analysis
Approximation Methods

File:

Download NicholasJSterge_Dissertation_2_0.pdf

Committee Members:

John Harlim, Outside Unit & Field Member
Bharath Kumar Sriperumbudur, Chair & Dissertation Advisor
Bing Li, Major Field Member
Ethan Fang, Major Field Member
Ephraim Mont Hanks, Program Head/Chair

Author:

Bhattacharya, Chandrachur

Title:

Frontiers in Data-driven Learning via Probabilistic Finite State Automata

Graduate Program:

Mechanical Engineering (PHD)

Keywords:

Data-driven
Machine Learning
Time-series analysis
Combustion Instablity
Thermoacoustic Instability
Pattern Recognition
Reduced Order Modeling
Rijke tube
Probabilisitc Finite State Automata
Symbolic Time Series Analysis
Combustion dynamics
Combustion
Hidden Markov Model
LSTM
Projection PFSA
Chaos
Natural Circulation Loop
Crack detection
Online Learning
Transfer Learning
DDDAS
PFSA
STSA

File:

Download Dissertation_ChandrachurBhattacharya_Final.pdf

Committee Members:

Minghui Zhu, Outside Unit Member
Shashi Phoha, Outside Field Member
Daniel Haworth, Major Field Member
Achintya Mukhopadhyay, Special Member
Asok Ray, Chair & Dissertation Advisor
Daniel Haworth, Professor in Charge/Director of Graduate Studies

Author:

Tsai, Cheng Yi

Title:

Applications of Analytics in Disease Prediction Types

Graduate Program:

Data Analytics (MS)

Keywords:

Landmark Gens
Cancer Types
Disease Type Prediction
Machine Learning
Analytics Model

File:

Download APPLICATIONS_OF_ANALYTICS_IN_DISEASE_PREDICTION_TYPES.pdf

Committee Members:

Colin Neill, Program Head/Chair
Satish Mahadevan Srinivasan, Thesis Advisor/Co-Advisor
Raghu Sangwan, Committee Member
Youakim Badr, Committee Member
Colin Neill, Committee Member
Partha Mukherjee, Committee Member

Author:

Mcatee, Patrick D

Title:

Sculptured Thin Films as a Platform for Machine-Learning Based Optical Sensing of Analytes

Graduate Program:

Engineering Science and Mechanics (PHD)

Keywords:

Sensing
Plasmonics
Machine Learning
Sculptured thin films

File:

Download McAtee_Dissertation.pdf

Committee Members:

Jeffrey Catchmark, Outside Unit & Field Member
Osama Awadelkarim, Major Field Member
Mark Horn, Major Field Member
Akhlesh Lakhtakia, Chair & Dissertation Advisor
Albert Segall, Program Head/Chair

Author:

Garcia, Miguel

Title:

Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army

Graduate Program:

Data Analytics (MS)

Keywords:

Artificial Intelligence
Machine Learning
AI
Deep Learning
Decision Tree
Logistic Regression
Random Forest
XGBoost
Artificial Neural Network
Deep Neural Network
U.S. Army
Military
Attrition
Retention
Person-Event Data Environment
PDE
Department of Defense
DoD
Army Analytics Group
AAG
Naive Bayes
Active Duty
Enlistment
Commissioned Officers
Soldiers
Area Under the Curve
AUC
Data Analytics
Retirement
MEDPROS
PHA
MEPCOM
DTMS
ATMS
ROC Curve
Variable Importance
Preprocessing
Data Quality

File:

Download Insights_on_the_use_of_AI_to_Predict_Retention_of_Career_Soldiers_in_the_US_Army.pdf

Committee Members:

Colin Neill, Program Head/Chair
Partha Mukherjee, Thesis Advisor/Co-Advisor
Guanghua Qiu, Committee Member
Youakim Badr, Thesis Advisor/Co-Advisor

Author:

Rahimian, Mina

Title:

A Data Mining Model and a Real-Time Predictive Software Prototype for the Spatial Design and Planning of High Energy Performance Solar Community Microgrids

Graduate Program:

Architecture (PHD)

Keywords:

Data Mining
Machine Learning
Community Microgrid
Energy Consumption
Urban Scale
Energy Performance
Predictive
Software

File:

Download PhD_Dissertation_Mina_Rahimian.pdf

Committee Members:

Jose Pinto Duarte, Chair & Dissertation Advisor
Seth Blumsack, Outside Unit Member
Lisa Iulo, Major Field Member & Dissertation Advisor
Guido Cervone, Outside Field Member
Ute Poerschke, Program Head/Chair

Author:

Ademujimi, Toyosi

Title:

Training of Bayesian Network model using Fusion-Learning and Engineering Models for Improved Fault Diagnostics

Graduate Program:

Industrial Engineering (PHD)

Keywords:

Smart Manufacturing
Bayesian Network
Machine Learning
Fault Diagnostics
Small Dataset
Digital Twin
Structure Learning
Parameter Learning

File:

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Committee Members:

Dennis Lin, Outside Unit, Field & Minor Member
Vittaldas Prabhu, Chair & Dissertation Advisor
Steven Landry, Program Head/Chair
Paul Griffin, Major Field Member
Daniel Finke, Major Field Member

Author:

Chai, Jiaming

Title:

Graph-based Methods For Zero-shot Learning In Image Classifications

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Machine Learning
Zero-shot Learning
Image Classification

File:

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Committee Members:

Wang-Chien Lee, Thesis Advisor/Co-Advisor
George Kesidis, Committee Member
Chitaranjan Das, Program Head/Chair

Author:

Agarwala, Vandana

Title:

Cross-Species Prediction of Transcription Factor Binding

Graduate Program:

Statistics (MS)

Keywords:

Bioinformatics
Deep Learning
Gene Regulation
Domain Adaptation
Transfer Learning
Computational Biology
Machine Learning

File:

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Committee Members:

Shaun Mahony, Thesis Advisor/Co-Advisor
Qunhua Li, Thesis Advisor/Co-Advisor
Ephraim Hanks, Professor in Charge/Director of Graduate Studies
Xiang Zhu, Committee Member

Author:

Cha, Joonyoung

Title:

SECURITY PATTERN DETECTION IN SOFTWARE CODE USING MACHINE LEARNING ALGORITHMS

Graduate Program:

Cybersecurity Analytics and Operations (MS)

Keywords:

Security Pattern
Software Code
Machine Learning
Security Pattern Detection (SPD)
Convolutional Neural Network
Long Short-Term Memory
Security
vulnerability

File:

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Committee Members:

Jungwoo Ryoo, Thesis Advisor/Co-Advisor
David Joseph Fusco, Committee Member
Mary Beth Rosson, Program Head/Chair
Philip Laplante, Committee Member

Author:

Zhao, Tianyang

Title:

Dialogue State Tracking with Universal Adversarial Triggers

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Machine Learning
Natural Language Processing
Dialogue State Tracking

File:

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Committee Members:

Chitaranjan Das, Program Head/Chair
Rui Zhang, Thesis Advisor/Co-Advisor
Antonio Blanca, Committee Member

Author:

Sadat Mohammadi, Milad

Title:

Human-Centric Digital Twin Model of Electric System Maintenance Technicians for Near Real-Time Health and Ergonomic Postural Risk Monitoring

Graduate Program:

Architectural Engineering (PHD)

Keywords:

Human Centric Digital Twin Model
Health Monitoring
Machine Learning
Deep Learning
Ergonomic Risk Assessment

File:

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Committee Members:

Somayeh Asadi, Professor in Charge/Director of Graduate Studies
Somayeh Asadi, Co-Chair & Dissertation Advisor
John Messner, Major Field Member
Houtan Jebelli, Co-Chair & Dissertation Advisor
Mehdi Kiani, Outside Unit & Field Member

Author:

Singal, Garima

Title:

Essays in Applied Machine Learning and Economics

Graduate Program:

Economics (PHD)

Keywords:

Machine Learning
Deep Learning
Computer Vision
Pollution Estimation

File:

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Committee Members:

Marc Albert Henry, Professor in Charge/Director of Graduate Studies
Marc Henry, Major Field Member
Keisuke Hirano, Major Field Member
Manzhu Yu, Outside Unit & Field Member
Minas Sifakis, Special Member
Michael Gechter, Chair & Dissertation Advisor

Author:

Mekki, Bashir

Title:

TOPOLOGY OPTIMIZATION OF MULTIFUNCTIONAL THERMAL MANAGAMENT SYSTEMS FOR AEROSPACE APPLICATION

Graduate Program:

Mechanical Engineering (PHD)

Keywords:

Topology Optimization
Heat Exchangers
Additive Manufacturing
CFD
Machine Learning
Experimental Testing

File:

Download BashirMekki_Dissertation_RevisedFinal.pdf

Committee Members:

Daniel Haworth, Professor in Charge/Director of Graduate Studies
Alexander Rattner, Major Field Member
Xiaofeng Liu, Outside Unit & Field Member
Stephen Lynch, Chair & Dissertation Advisor
Vikram Shyam, Special Member
Xiang Yang, Major Field Member

Author:

Kou, Tianqi

Title:

Reconceptualizing Machine Learning Reproducibility

Graduate Program:

Informatics (MS)

Keywords:

Machine Learning
Reproducibility
Philosophy of Machine Learning

File:

Download final.pdf

Committee Members:

Fred Fonseca, Thesis Advisor/Co-Advisor
Priya Kumar, Committee Member
Jeffrey Bardzell, Program Head/Chair
Daniel Susser, Thesis Advisor/Co-Advisor

Author:

Wright, Isaac

Title:

Machine Learning Methods for Regression and Classification with Functional Data

Graduate Program:

Statistics (PHD)

Keywords:

Functional Data
Boosting
Decision Trees
Classification
Regression
Machine Learning
Supervised Learning
Unsupervised Learning

File:

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Committee Members:

Ephraim Hanks, Professor in Charge/Director of Graduate Studies
Jia Li, Major Field Member
Matthew Reimherr, Chair & Dissertation Advisor
John Liechty, Outside Unit & Field Member
Francesca Chiaromonte, Major Field Member

Author:

Li, Junde

Title:

Machine Learning and Optimization Applications on Near-term Quantum Computers

Graduate Program:

Computer Science and Engineering (PHD)

Keywords:

Machine Learning
Quantum Computing
Computer Vision
Optimization
Variational Quantum Algorithms
Generative Models
Quantum Computation Advantages

File:

Download phd_dissertation_junde.pdf

Committee Members:

Chitaranjan Das, Program Head/Chair
Swaroop Ghosh, Chair & Dissertation Advisor
Mehrdad Mahdavi, Major Field Member
Nikolay Dokholyan, Outside Unit & Field Member
Chunhao Wang, Major Field Member

Author:

Balaji, Laxmaan

Title:

A Differentiable Synthetic Prediction Market

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Machine Learning
Prediction Market
Synthetic Prediction Market
Supervised Learning
Classification

File:

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Committee Members:

Chitaranjan Das, Program Head/Chair
C Lee Giles, Thesis Advisor/Co-Advisor
Sarah Michele Rajtmajer, Thesis Advisor/Co-Advisor
Christopher H Griffin, Committee Member