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Author:

Ororbia, Alexander Gabriel

Title:

Coordinated Local Learning Algorithms for Continuously Adaptive Neural Systems

Graduate Program:

Information Sciences and Technology

Keywords:

artificial intelligence
artificial neural networks
local learning
neurocognitive
machine learning
lifelong learning

File:

Download ororbia-dissertation-july10-2018.pdf

Committee Members:

C. Lee Giles, Dissertation Advisor/Co-Advisor
C. Lee Giles, Committee Chair/Co-Chair
David Reitter, Committee Member
Vasant Honavar, Committee Member
Daniel Kifer, Outside Member

Author:

Hackett, Timothy Michael

Title:

Applying artificial intelligence to space communications networks: Cognitive real-time link layer adaptations through rapid orbit planning

Graduate Program:

Electrical Engineering

Keywords:

artificial neural networks
neural networks
modulation
encoding
cognitive radio
space communications
machine learning
reinforcement learning
scheduling
block scheduling
demand access scheduling
beacon tone
network simulation
coverage statistics
mean pass time
mean gap time
max gap time
mean passes per day
artificial intelligence
software-defined radio
Deep Space Network

File:

Download Hackett-Dissertation_Final.pdf

Committee Members:

Sven G Bilen, Dissertation Advisor/Co-Advisor
Sven G Bilen, Committee Chair/Co-Chair
Julio Urbina, Committee Member
Viveck Ramesh Cadambe, Committee Member
Mark P Mahon, Outside Member
Alexander M. Wyglinski, Special Member

Author:

Pezanowski, Scott

Title:

Artificial Intelligence and Human Intelligence to Derive Meaningful Information on Geographic Movement Described in Text

Graduate Program:

Informatics

Keywords:

geographic movement
geovisual analytics
machine learning
natural language processing
big data analytics
geographic movement
geovisual analytics
machine learning
natural language processing
big data analytics
artificial intelligence
deep learning
visualization
GIScience
Information Retrieval

File:

Download 20210321_PezanowskiScott-Dissertation_final.pdf

Committee Members:

Prasenjit Mitra, Dissertation Advisor/Co-Advisor
Prasenjit Mitra, Committee Chair/Co-Chair
C Lee Giles, Committee Member
Nick Giacobe, Committee Member
Alan M Mac Eachren, Outside Member
Mary Beth Rosson, Program Head/Chair

Author:

Williams, Glen

Title:

Towards the Next-Generation of Engineering Design Artificial Intelligence: A Framework for Additive Manufacturing Machine Learning Development

Graduate Program:

Mechanical Engineering (PHD)

Keywords:

additive manufacturing
machine learning
artificial intelligence
design
manufacturing

File:

Download Glen_Williams.pdf

Committee Members:

Nicholas Meisel, Major Field Member
Timothy Simpson, Major Field Member
Chris McComb, Chair & Dissertation Advisor
C Lee Giles, Outside Unit & Field Member
Daniel Haworth, Professor in Charge/Director of Graduate Studies