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Author:

Karanam, Kavya Laalasa

Title:

Story Generation Using Intermediate Plot Representation

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Story Summary Block Generation
Natural Language Processing
Deep Learning
Storyline Planning

File:

Download Karanam_KavyaLaalasa_Thesis_2021.pdf

Committee Members:

Chitaranjan Das, Program Head/Chair
C Lee Giles, Thesis Advisor/Co-Advisor
Rui Zhang, Committee Member
Ting-Hao (Kenneth) Huang, Thesis Advisor/Co-Advisor

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

Author:

Wang, Yuzhang

Title:

Temperature distribution induced by ultrasound wave propagation using physics based deep learning method

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

Deep learning
PINN
tBHTE
temperature map
ultrasound wave propagation
transducers

File:

Download Thesis_MS_2021_Yuzhang_final_Modified.pdf

Committee Members:

Mohamed Khaled Almekkawy, Thesis Advisor/Co-Advisor
Jesse Louis Barlow, Committee Member
Chitaranjan Das, Program Head/Chair

Author:

Zhang, Hong

Title:

Feature Clustering For Recurring Pattern Detection

Graduate Program:

Computer Science and Engineering (MS)

Keywords:

recurring pattern detection
hierarchical clustering method
vanishing point detection
deep feature clustering

File:

Download FinalThesis_HongZhang.pdf

Committee Members:

Chitaranjan Das, Program Head/Chair
Yanxi Liu, Thesis Advisor/Co-Advisor
Robert Collins, Committee Member

Author:

Ryoo, Jihyun

Title:

Architecture-Centric Bottleneck Analysis for Machine Learning and Deep Learning Applications

Graduate Program:

Computer Science and Engineering (PHD)

Keywords:

Computer architecture
Architecture profiling
Machine learning
Deep learning
Analysis model
High performance computing
Manycore systems
Parallel computing

File:

Download Jihyun_Ryoo_Dissertation.pdf

Committee Members:

Kamesh Madduri, Major Field Member
Mahmut Kandemir, Chair & Dissertation Advisor
John Sampson, Major Field Member
Dinghao Wu, Outside Unit & Field Member
Chitaranjan Das, Program Head/Chair