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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:

Chandna, Akshat

Title:

Modeling Natural Fracture Networks Using Improved Geostatistical and Geomechanical Inferences

Graduate Program:

Energy and Mineral Engineering

Keywords:

Fracture Characterization
Multiple Point Statistics
Geostatistics
Geomechanics
Machine Learning
Stochastic Simulation
Modeling Natural Fracture Networks
Teapot Dome

File:

Download Dissertation_Document_AkshatChandna.pdf

Committee Members:

Sanjay Srinivasan, Dissertation Advisor/Co-Advisor
Sanjay Srinivasan, Committee Chair/Co-Chair
Zuleima T Karpyn, Committee Member
Hamid Emami-Meybodi, Committee Member
Chris J Marone, Outside Member
Mort D Webster, Committee Member
Mort D Webster, Program Head/Chair

Author:

Wijeyakulasuriya, Dhanushi

Title:

Modern Algorithm-based approaches for Modeling Animal Movement

Graduate Program:

Statistics

Keywords:

Animal Movement
Machine Learning
Extreme Value Theory
Spatial Extremes
First Arrival
Spatial Statistics

File:

Download Final_Submission_Aug2020.pdf

Committee Members:

Ephraim Mont Hanks, Dissertation Advisor/Co-Advisor
Ephraim Mont Hanks, Committee Chair/Co-Chair
Le Bao, Committee Member
Benjamin Shaby, Committee Chair/Co-Chair
Francesco Costanzo, Outside Member
Benjamin Shaby, Dissertation Advisor/Co-Advisor
Ephraim Mont Hanks, Program Head/Chair

Author:

Jenkins, Porter

Title:

Towards Sample Efficiency in Deep Learning

Graduate Program:

Information Sciences and Technology

Keywords:

Deep Learning
Machine Learning
Bayesian
Representation Learning

File:

Download Final_Defense__Towards_Statistical_Efficiency_in_Deep_Learning.pdf

Committee Members:

Jessie Li, Dissertation Advisor/Co-Advisor
Jessie Li, Committee Chair/Co-Chair
Suhang Wang, Committee Member
Zihan Zhou, Committee Member
Ephraim Mont Hanks, Outside Member
Vasant Gajanan Honavar, Program Head/Chair

Author:

Gupta, Shantanu

Title:

Predicting Driver's Takeover Decisions in a Conditionally Automated Vehicle with Gaze Based Deep Learning Architectures

Graduate Program:

Industrial Engineering (MS)

Keywords:

Conditionally Automated Vehicles
Machine Learning
Deep Learning
Situational Awareness
Takeover Performance

File:

Download Shantanu_Masters_Thesis.pdf

Committee Members:

Yiqi Zhang, Thesis Advisor/Co-Advisor
Vittaldas V Prabhu, Committee Member
Steven Landry, Program Head/Chair

Author:

Seo, Jooyoung

Title:

Discovering Informal Learning Cultures of Blind Individuals Pursuing STEM Disciplines: A Computational Ethnography Using Public Listserv Archives

Graduate Program:

Learning, Design, and Technology (PHD)

Keywords:

STEM
Computational Ethnography
Accessibility
Blind Learners
Visual Impairments
Machine Learning
Structural Topic Modeling
Data Science
Mailing List
Tidy Data
R
Mailing Lists
Python

File:

Download J.Seo_Dissertation_Revised.pdf

Committee Members:

Gabriela Richard, Chair & Dissertation Advisor
Roy Clariana, Major Field Member
ChanMin Kim, Major Field Member
Mary Beth Rosson, Outside Unit & Field Member
Heather Zimmerman, Professor in Charge/Director of Graduate Studies

Author:

Cetnar, Daniel

Title:

Predicting Gene Expression For Robust Genetic System Design

Graduate Program:

Chemical Engineering (PHD)

Keywords:

mRNA
RNA Decay
NGS
Synthetic Biology
Gene Expression
RNase
Machine Learning
Modeling

File:

Download Daniel_Cetnar_Dissertation_final.pdf

Committee Members:

Andrew Zydney, Major Field Member
Howard Salis, Chair & Dissertation Advisor
Phillip Savage, Major Field Member
Philip Bevilacqua, Outside Unit & Field Member
Seong Han Kim, Program Head/Chair

Author:

Banagere Manjunatha, Srikanth

Title:

Extreme Point Approach to Subset Selection and Data Augmentation

Graduate Program:

Electrical Engineering (MS)

Keywords:

Machine Learning
Data Augmentation
Convex hull
Isometric property
Classification task

File:

Download Masters_Thesis_EE_PSU_srikanth_banagere_manjunatha.pdf

Committee Members:

Kultegin Aydin, Program Head/Chair
Viveck Ramesh Cadambe, Thesis Advisor/Co-Advisor
Mehrdad Mahdavi, Committee Member

Author:

Khademi, Aria

Title:

Excursions in Causal Data Science: Fairness, Causal Attribution, and Applications

Graduate Program:

Informatics (PHD)

Keywords:

Artificial Intelligence
Machine Learning
Causal Inference
Interpretable Machine Learning
Fairness
Health Care
Causal Attribution

File:

Download PhD_Dissertation_Aria_Khademi.pdf

Committee Members:

Daniel Susser, Major Field Member
Sarah Rajtmajer, Major Field Member
Vasant Honavar, Chair & Dissertation Advisor
Aleksandra Slavkovic, Outside Unit, Field & Minor Member
Mary Beth Rosson, Program Head/Chair

Author:

Chen, Ruimin

Title:

Data-driven Service Optimization and Quality Management in Cyber-physical Manufacturing Systems

Graduate Program:

Industrial Engineering (PHD)

Keywords:

Additive Manufacturing
Quality Management
Machine Learning
Service Optimization

File:

Download Ruimin_Dissertation_FINAL_0730.pdf

Committee Members:

Edward Reutzel, Outside Unit & Field Member
Soundar Kumara, Major Field Member
Timothy Simpson, Major Field Member
Hui Yang, Chair & Dissertation Advisor
Steven Landry, Program Head/Chair
Yan Lu, Special Member