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Start Over Year 2019 Committee Member David Jonathan Miller

1. User Protection in Social Networks using Machine Learning Techniques

open_access
Open Access
Author:
Zhong, Haoti
Title:
User Protection in Social Networks using Machine Learning Techniques
Graduate Program:
Electrical Engineering
Keywords:
Machine Learning
Privacy
Cyberbully
Social Networks
File:
Download User_protection_in_social_networks_using_machine_learning_techniques.pdf
Committee Members:
David Jonathan Miller, Dissertation Advisor/Co-Advisor
Anna Cinzia Squicciarini, Committee Chair/Co-Chair
George Kesidis, Committee Member
Sencun Zhu, Committee Member
Dongwon Lee, Outside Member

2. Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification

open_access
Open Access
Author:
Wang, Hang
Title:
Parsimonious Model Selection Based on Bayesian Information Criterion and a Mixture-based Hybrid Model on Image Classification
Graduate Program:
Electrical Engineering
Keywords:
Mixture Model
Transfer Learning
CNN
File:
Download thesis_Hang_Wang.pdf
Committee Members:
David Jonathan Miller, Thesis Advisor/Co-Advisor
Constantino Manuel Lagoa, Committee Member

4. ABSTRACTIVE TEXT SUMMARIZATION BY HIGHLIGHTING

open_access
Open Access
Author:
Ambati, Rajeev Bhatt
Title:
ABSTRACTIVE TEXT SUMMARIZATION BY HIGHLIGHTING
Graduate Program:
Electrical Engineering
Keywords:
text summarization
summarization
natural language processing
deeplearning
memory augmented neural network
abstractive summarization
extractive summarization
sequence modelling
seq2seq
File:
Download MS_Thesis_Final.pdf
Committee Members:
David Jonathan Miller, Thesis Advisor/Co-Advisor
Prasenjit Mitra, Committee Member
Victor P Pasko, Committee Member

5. Sequential Machine Learning for Decision-Making in Mechanical Systems

open_access
Open Access
Author:
Ghalyan, Najah
Title:
Sequential Machine Learning for Decision-Making in Mechanical Systems
Graduate Program:
Mechanical Engineering
Keywords:
symbolic dynamics
Hidden Markov Models
ergodicity
measure-preserving transformations
image classification
fatigue damage
thermoacoustic instabilities
probabilistic finite state automata
time series
bag-of-words
support vector machines
generating partition
quantization
lossy source coding
sliding block source coding
clustering
dynamic programming
Viterbi algorithm
anomaly detection
change point detection
transient change detection
quickest change detection
data-driven modeling
File:
Download PhD_Dissertation_Najah_Ghalyan.pdf
Committee Members:
Asok Ray, Dissertation Advisor/Co-Advisor
Asok Ray, Committee Chair/Co-Chair
Eric Russell Marsh, Committee Member
Alok Sinha, Committee Member
David Jonathan Miller, Outside Member
William Kenneth Jenkins, Outside Member
Shashi Phoha, Outside Member
Daniel Connell Haworth, Program Head/Chair

6. Unsupervised Deep Learning Approach For Photoacoustic Spectral Unmixing.

open_access
Open Access
Author:
Durairaj, Deepit Abhishek
Title:
Unsupervised Deep Learning Approach For Photoacoustic Spectral Unmixing.
Graduate Program:
Electrical Engineering
Keywords:
Spectral Unmixing
Machine Learning
Autoencoders
Unsupervised Learning
Photoacoustic Imaging
File:
Download Deepit_Durairaj_Thesis.pdf
Committee Members:
Sri-Rajasekhar Kothapalli, Thesis Advisor/Co-Advisor
David Jonathan Miller, Thesis Advisor/Co-Advisor
William Evan Higgins, Committee Member
Sri-Rajasekhar Kothapalli, Program Head/Chair