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Author:

Subbakrishna Adishesha, Amogh

Title:

Prediction and Estimation of Human Motion using Generative-Adversarial Network

Graduate Program:

Electrical Engineering

Keywords:

GANs
LSTM
Motion Prediction
Deep Learning
Neural Networks
AI
Prediction Error

File:

Download PS-Thesis-AmoghFinal.pdf

Committee Members:

Robert Collins, Thesis Advisor/Co-Advisor
David Jonathan Miller, Committee Member
Mehdi Kiani, Committee Member

Author:

Chandran, Makesh Tarun

Title:

Processing In-Memory Architecture Incorporating Systolic Dataflow for Deep Neural Networks

Graduate Program:

Computer Science and Engineering

Keywords:

Neural Networks
ReRAM
Processing-in-memory
Transformer
BERT
LSTM
CNN
Systolic

File:

Download Makesh_Thesis.pdf

Committee Members:

Vijaykrishnan Narayanan, Thesis Advisor/Co-Advisor
John Morgan Sampson, Committee Member
Chitaranjan Das, Program Head/Chair

Author:

Bhattacharya, Chandrachur

Title:

Frontiers in Data-driven Learning via Probabilistic Finite State Automata

Graduate Program:

Mechanical Engineering

Keywords:

Data-driven
Machine Learning
Time-series analysis
Combustion Instablity
Thermoacoustic Instability
Pattern Recognition
Reduced Order Modeling
Rijke tube
Probabilisitc Finite State Automata
Symbolic Time Series Analysis
Combustion dynamics
Combustion
Hidden Markov Model
LSTM
Projection PFSA
Chaos
Natural Circulation Loop
Crack detection
Online Learning
Transfer Learning
DDDAS
PFSA
STSA

File:

Download Dissertation_ChandrachurBhattacharya_Final.pdf

Committee Members:

Minghui Zhu, Outside Unit Member
Shashi Phoha, Outside Field Member
Daniel Haworth, Major Field Member
Achintya Mukhopadhyay, Special Member
Asok Ray, Chair & Dissertation Advisor
Daniel Haworth, Professor in Charge/Director of Graduate Studies

Author:

Dighe, Snehal Machhindra

Title:

Statistical and Deep Learning Time Series Forecasting for Inventory Optimization of Agricultural Products

Graduate Program:

Industrial Engineering

Keywords:

Time Series Forecasting
Demand Forecasting
SARIMA
MLP
LSTM
Inventory Optimization
Newsvendor Model
Exploratory Data Analysis
User Interface
Seasonality Study

File:

Download Thesis_MSIE_Snehal_Machhindra_Dighe.pdf

Committee Members:

Steven Landry, Program Head/Chair
Soundar Kumara, Thesis Advisor/Co-Advisor
Kamesh Madduri, Committee Member
Paul Griffin, Thesis Advisor/Co-Advisor

Author:

Schuessler, Joseph

Title:

Adversarial Attacks and Defense in Long Short-Term Memory Recurrent Neural Networks

Graduate Program:

Electrical Engineering

Keywords:

Adversarial Attacks
Data Poisoning
Recurrent Neural Networks
LSTM
Deep Learning
Machine Learning

File:

Download SchuesslerThesis.pdf

Committee Members:

Kultegin Aydin, Program Head/Chair
David Jonathan Miller, Thesis Advisor/Co-Advisor
George Kesidis, Committee Member
Carina Pamela Curto, Committee Member

Author:

Shen, Jia Tracy

Title:

AI in Education: Effective Machine Learning Methods To Improve Data Scarcity and Knowledge Generalization

Graduate Program:

Information Sciences and Technology

Keywords:

AI
machine learning
education
BERT
nlp
Deep Generative models
time series
model generalization
transfer learning
knowledge generalization
transformer
LSTM

File:

Download AIinED_Dissertation_final_submission.pdf

Committee Members:

Dongwon Lee, Chair & Dissertation Advisor
C Lee Giles, Major Field Member
Amulya Yadav, Major Field Member
Rebecca Passonneau, Outside Unit & Field Member
Jeffrey Bardzell, Program Head/Chair

Author:

Saha, Gourab

Title:

A Vision Towards Developing a Spatially And Temporally Robust Data-Driven Modeling Framework To Predict Continuous Stream Nitrate Concentration At Data-Scarce Locations

Graduate Program:

Agricultural and Biological Engineering

Keywords:

LSTM
stream nitrate modeling
deep learning
machine learning
water quality
c-Q relationship

File:

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Committee Members:

Suat Irmak, Program Head/Chair
Long He, Major Field Member
Cibin Raj, Chair & Dissertation Advisor
Chaopeng Shen, Outside Field Member
Jonathan Duncan, Outside Unit & Field Member

Author:

George, Haruka

Title:

Adaptable Conversational Chatbot Based on Reinforcement Learning

Graduate Program:

Data Analytics

Keywords:

Reinforcement Learning
Chatbot
Seq2seq
LSTM
Deep Reinforcement Learning
NLP

File:

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Committee Members:

Raghu Sangwan, Program Head/Chair
Youakim Badr, Thesis Advisor/Co-Advisor
Adrian Sorin Barb, Committee Member

Author:

Darweesh, Raheeq

Title:

INNOVATIVE FENTANYL DETECTION: THE INTEGRATION OF DEEP LEARNING WITH MOLECULARLY IMPRINTED POLYMER SENSORS

Graduate Program:

Electrical Engineering

Keywords:

Fentanyl
Breathalyzer
MIP
LSTM
RNNs

File:

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Committee Members:

Nashwa Nabil Elaraby, Thesis Advisor/Co-Advisor
Seth Wolpert, Committee Member
Rafic Bachnak, Professor in Charge/Director of Graduate Studies
Aldo W Morales, Committee Member