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Author:

Saghaian Nejad Esfahani, Sayed

Title:

Service Management: Resource Allocation and Security

Graduate Program:

Computer Science and Engineering (PHD)

Keywords:

Resource Allocation
Security
Mission-oriented Security Model
Service Placement
Clustering Algorithm
Wireless Networks

File:

Download SayedSaghaian_Dissertation.pdf

Committee Members:

Chitaranjan Das, Program Head/Chair
Thomas La Porta, Co-Chair & Dissertation Advisor
Patrick Mcdaniel, Major Field Member
C Lee Giles, Outside Unit & Field Member
Daniel Kifer, Co-Chair & Dissertation Advisor

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:

Galiveeti, Sneha Suhitha

Title:

Automatic Generation of Floorplans using Generative Adversarial Networks

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

GAN
Image Synthesis Problem
Floorplan Generation

File:

Download Sneha_Suhitha_Galiveeti_Thesis.pdf

Committee Members:

Chitaranjan Das, Program Head/Chair
Daniel Kifer, Thesis Advisor/Co-Advisor
C Lee Giles, Committee Member
Sharon Xiaolei Huang, Thesis Advisor/Co-Advisor

Author:

Prathipati, Sumedha

Title:

Physics-Informed Deep Learning For Prediction of CO2 Storage Site Response

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

CO2 storage
Site response forecasting
Physics-informed deep learning
Long Short-Term Memory (LSTM)

File:

Download Thesis_Sumedha.pdf

Committee Members:

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

Author:

Kumar, Vikas

Title:

Improved Facial Expression Recognition Using Noisy Student Training and Synthetic Data Generation

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Facial expression recognition
student-teacher network
semisupervised learning
multi-level attention
Facial expression recognition student-teacher network
semisupervised learning multi-level attention
facial expression recognition
unsupervised learning
student teacher network
machine learning
deep learning
GAN
CNN

File:

Download Thesis.pdf

Committee Members:

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