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Author:

Habas, Bryan

Title:

Dynamic Perching of Quadrotors: A Bio-Inspired Approach Leveraging Reinforcement Learning and Landing Gear Design

Graduate Program:

Mechanical Engineering

Keywords:

Quadrotors
Quadcopters
Perching
Landing
Machine Learning
Deep Reinforcement Landing

File:

Download PhD_Dissertation-2.pdf

Committee Members:

Herschel Pangborn, Major Field Member
Jacob Langelaan, Outside Unit & Field Member
Bo Cheng, Chair & Dissertation Advisor
Katie Fitzsimons, Major Field Member
Robert Kunz, Professor in Charge/Director of Graduate Studies

Author:

Arnous, Ferris

Title:

Exploration of Multi-Domain Data Fusion and Deep Learning Algorithms for Radar Imagery Classification

Graduate Program:

Engineering Science and Mechanics

Keywords:

Deep Learning
Biologically Inspired
Sensor Data Fusion
Radar Imagery
Image Classification
Machine Learning

File:

Download Arnous_Dissertation.pdf

Committee Members:

Albert Segall, Program Head/Chair
Michael Lanagan, Co-Chair & Dissertation Advisor
Soundar Kumara, Outside Unit & Field Member
Parisa Shokouhi, Major Field Member
Ram Narayanan, Co-Chair & Dissertation Advisor
Christian Peco, Major Field Member
Tim Kane, Outside Field Member

Author:

Fjeldsted, Aaron

Title:

The Development of Advanced Analysis Techniques for Gamma-Ray Spectra

Graduate Program:

Nuclear Engineering

Keywords:

Nuclear Security
Gamma-Ray Spectroscopy
Machine Learning

File:

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Committee Members:

Dipanjan Pan, Professor in Charge/Director of Graduate Studies
Marek Flaska, Major Field Member
Kenan Unlu, Major Field Member
Azaree Lintereur, Special Member
Douglas Wolfe, Chair & Dissertation Advisor
Wesley Reinhart, Outside Unit & Field Member
Patrick Lofy, Special Member

Author:

Zhao, Tianxiang

Title:

Deep Learning for Structured Data: Weak Supervision and Interpretability

Graduate Program:

Informatics

Keywords:

Weak Supervision
Graph Neural Network
Data Mining
Machine Learning
Sequential Decision Process

File:

Download Dissertation_Exam_Tianxiang__3_.pdf

Committee Members:

Dongwon Lee, Professor in Charge/Director of Graduate Studies
Sharon Huang, Major Field Member
Xiang Zhang, Co-Chair & Dissertation Advisor
Suhang Wang, Co-Chair & Dissertation Advisor
Wang-Chien Lee, Outside Unit & Field Member
Vasant Honavar, Major Field Member

Author:

Roy, Parama

Title:

Finding Equilibrium in Adversarial Machine Learning - Intrinsic Trade-offs between the Robustness and Accuracy or Classifiers and Feature Extractors

Graduate Program:

Electrical Engineering

Keywords:

Machine Learning
Linear Programming
Adversarial Attacks
Robustness
Optimal Transport
CVXOPT

File:

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Committee Members:

Daniel Cullina, Thesis Advisor/Co-Advisor
Swaroop Ghosh, Committee Member
Madhavan Swaminathan, Program Head/Chair

Author:

Zhao, Tianyang

Title:

Dialogue State Tracking with Universal Adversarial Triggers

Graduate Program:

Computer Science and Engineering

Keywords:

Machine Learning
Natural Language Processing
Dialogue State Tracking

File:

Download DST_thesis_final.pdf

Committee Members:

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

Author:

Goyal, Praney

Title:

Exploring Counterfactual Explanations for Text-Based Data Using Large Language Models

Graduate Program:

Computer Science and Engineering

Keywords:

Machine Learning
Counterfactual Explanation

File:

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Committee Members:

C Lee Giles, Thesis Advisor/Co-Advisor
Amulya Yadav, Committee Member
Chitaranjan Das, Program Head/Chair

Author:

Mohellebi, Elias Zakaria

Title:

A Machine Learning Framework for Optimizing Travel Restriction Interventions in Response to Infectious Disease Outbreaks

Graduate Program:

Data Analytics

Keywords:

Machine Learning
Travel Restriction Interventions
Infectious Diseases
Outbreaks
Travel Restrictions
Resource Allocation
human mobility
Framework for Travel Restrictions Optimization
Travel Restriction Interventions Tuning Tool
COVID-19
Virus
Epidemic
Pandemic
Strategic Response Plans
Crisis Management
Disaster Management

File:

Download Elias_Mohellebi_Updated_Final_Thesis.pdf

Committee Members:

Satish Mahadevan Srinivasan, Thesis Advisor/Co-Advisor
Ashkan Negahban, Committee Member
Raghu Sangwan, Program Head/Chair
Mohamad Darayi, Committee Member
Nil Hande Ergin, Committee Member
Adrian Sorin Barb, Committee Member

Author:

Ramos, Christopher

Title:

DustCast: An ensemble machine learning model for monthly atmospheric dust aerosol forecasting across the Arabian Peninsula

Graduate Program:

Spatial Data Science

Keywords:

Dust
Aerosol
Machine Learning
Arabian Peninsula
Ensemble

File:

Download Christopher_Ramos_Final_Thesis3.pdf

Committee Members:

Brandi Gaertner, Thesis Advisor/Co-Advisor
Steven J Greybush, Thesis Advisor/Co-Advisor
Anthony Robinson, Program Head/Chair

Author:

Pirmohammadjamaat, Amirmoez

Title:

comparing data assimilation methods for differentiable hydrologic models

Graduate Program:

Civil Engineering

Keywords:

data assimilation
hydrology
Machine Learning
DIFFERENTIABLE HYDROLOGIC MODELS

File:

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Committee Members:

Chaopeng Shen, Thesis Advisor/Co-Advisor
Xiaofeng Liu, Committee Member
Farshad Rajabipour, Program Head/Chair
Jonathan M Duncan, Committee Member