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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:

Schuessler, Joseph

Title:

Adversarial Attacks and Defense in Long Short-Term Memory Recurrent Neural Networks

Graduate Program:

Electrical Engineering (MS)

Keywords:

Adversarial Attacks
Data Poisoning
Recurrent Neural Networks
LSTM
Deep Learning
Machine Learning

File:

Download SchuesslerThesis.pdf

Committee Members:

Kultegin Aydin, Program Head/Chair
David Jonathan Miller, Thesis Advisor/Co-Advisor
George Kesidis, Committee Member
Carina Pamela Curto, Committee Member

Author:

Hu, Weiming

Title:

Uncertainty Quantification for Photovoltaic Energy Production Using Analog Ensemble

Graduate Program:

Geography (PHD)

Keywords:

Ensemble Forecast
Photovoltaic
Machine Learning
Deep Learning

File:

Download 2021_PSU_Dissertation_Hu.pdf

Committee Members:

George Young, Outside Unit Member
Guido Cervone, Chair, Minor Member & Dissertation Advisor
Michael Mann, Outside Field Member
Andrew Carleton, Major Field Member
Cynthia Brewer, Program Head/Chair

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:

Lee, Beom Ki

Title:

Machine Learning in Cardiac Diseases - Comparison of Performance of Selected Algorithms

Graduate Program:

Industrial Engineering (MS)

Keywords:

Machine Learning
Healthcare
Classification
Supervised Learning
Prediction
Data Analysis
Data Science
Cardiovascular

File:

Download BKLEE_Thesis_FinalDraft.pdf

Committee Members:

Steven James Landry, Program Head/Chair
Soundar Kumara, Thesis Advisor/Co-Advisor
Paul Griffin, Committee Member

Author:

Girkar, Vrushali Sanjay

Title:

Laboratory Earthquake Prediction using Deep Learning

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Machine Learning
Deep Learning
Earthquake Prediction
Time-Series Prediction
Supervised Regression Problem
Automatic Feature Extraction

File:

Download Vrushali_Thesis.pdf

Committee Members:

Chitaranjan Das, Program Head/Chair
Daniel Kifer, Thesis Advisor/Co-Advisor
C Lee Giles, Committee Member
Parisa Shokouhi, Committee Member

Author:

Sefid, Athar

Title:

Automatic Summarization and Slide Generation for Scientific Papers

Graduate Program:

Computer Science and Engineering (PHD)

Keywords:

Automatic Summarization
Automatic Slide Generation
Text Mining
Machine Learning
Natural Language Processing

File:

Download Athar_Sefid_PhD_Thesis.pdf

Committee Members:

Chris McComb, Outside Unit & Field Member
C Lee Giles, Chair & Dissertation Advisor
Jesse Barlow, Major Field Member
Chitaranjan Das, Program Head/Chair
Rui Zhang, Major Field Member

Author:

Modukuri, Sai Ajay

Title:

Understanding and Predicting Retractions of Published Works

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Machine Learning
Reproducibility
Psychology

File:

Download Thesis_retraction_classifier-5.pdf

Committee Members:

Chitaranjan Das, Program Head/Chair
C. Lee Giles, Thesis Advisor/Co-Advisor
Sarah Rajtmajer, Thesis Advisor/Co-Advisor
Jian Wu, Special Signatory
Rui Zhang, Committee Member

Author:

Bayiz, Yagiz

Title:

Wing Trajectory Optimization and Modelling for Flapping Flight

Graduate Program:

Mechanical Engineering (PHD)

Keywords:

Bioinspired Robotics
Aerial Robotics
Locomotion
Flapping Flight
Optimization
Machine Learning

File:

Download YB_Dissertation.pdf

Committee Members:

Mark Maughmer, Outside Unit & Field Member
Hosam Fathy, Special Member
Bo Cheng, Chair & Dissertation Advisor
Xiang Yang, Major Field Member
Asok Ray, Major Field Member
Daniel Haworth, Professor in Charge/Director of Graduate Studies

Author:

Gilani, Faheem

Title:

Diffusion Maps and its Applications to Time series Forecasting and Filtering and Second Order Elliptic PDEs

Graduate Program:

Mathematics (PHD)

Keywords:

Machine Learning
kernel methods
nerural networks
chaotic dynamics
manifold learning
diffusion maps
ENSO

File:

Download Dissertation_2.pdf

Committee Members:

Alberto Bressan, Major Field Member
John Harlim, Chair & Dissertation Advisor
Bharath Kumar Sriperumbudur, Outside Unit & Field Member
Xiantao Li, Major Field Member
Carina Curto, Program Head/Chair

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:

Login to Download

Committee Members:

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

Author:

Shin, Hyunjong

Title:

ANALYTICAL AND EMPIRICAL MODELS FOR PROCESS TRANSFORMATION TOWARDS SMARTER MAINTENANCE

Graduate Program:

Industrial Engineering

Keywords:

Smart Maintenance
Artificial Intelligence
Machine Learning
System Interaction
Business Process
Business Process Transformation
Human Centered System

File:

Download HJSHIN_Dissertation_04132021.pdf

Committee Members:

Vittaldas V Prabhu, Dissertation Advisor/Co-Advisor
Vittaldas V Prabhu, Committee Chair/Co-Chair
Ling Rothrock, Committee Member
Paul Marshal Griffin, Committee Member
Suvrat Saurabh Dhanorkar, Outside Member
Felisa Preciado Higgins, Special Member
Steven James Landry, Program Head/Chair

Author:

Owen, Stephen

Title:

Essays on Conditional Asset Pricing and Machine Learning in Finance

Graduate Program:

Business Administration

Keywords:

Finance
Asset Pricing
Conditional Asset Pricing
Machine Learning

File:

Download 20210208_dissertation_vita_combined.pdf

Committee Members:

Timothy T Simin, Dissertation Advisor/Co-Advisor
Timothy T Simin, Committee Chair/Co-Chair
Stephen Lenkey, Committee Member
Giang Nguyen, Committee Member
Jed J Neilson, Outside Member
Quanwei Cao, Committee Chair/Co-Chair
Alexey Zhdanov, Committee Member
Brent William Ambrose, Program Head/Chair
Quanwei Cao, Dissertation Advisor/Co-Advisor

Author:

Yao, Huaxiu

Title:

Learning to Learn with Structured Knowledge

Graduate Program:

Information Sciences and Technology

Keywords:

Machine Learning
Data Mining
Deep Learning
Meta-learning
Relation Learning
Few-shot Learning

File:

Download PhD_Dissertation_Huaxiu.pdf

Committee Members:

Zhenhui Li, Dissertation Advisor/Co-Advisor
Zhenhui Li, Committee Chair/Co-Chair
Suhang Wang, Committee Member
Xiang Zhang, Committee Member
Lingzhou Xue, Outside Member
Mary Beth Rosson, Program Head/Chair