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Author:

Shakerian, Shahrad

Title:

Digital Twin Enabled Facilities Maintenance Management through the Integration of Artificial Intelligence and Sensory-Level Data

Graduate Program:

Architectural Engineering (PHD)

Keywords:

Facility maintenance
digital twins
machine learning
signal processing
failure prediction
early failure detection
anomaly detection

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Committee Members:

Bill Sitzabee, Co-Chair & Dissertation Advisor
Somayeh Asadi, Major Field Member
Houtan Jebelli, Co-Chair & Dissertation Advisor
Asok Ray, Outside Unit & Field Member
Somayeh Asadi, Professor in Charge/Director of Graduate Studies

Author:

Hughey, Jordan

Title:

In-silico modeling gene expression utilizing genomic activity and 3D contact information

Graduate Program:

Bioinformatics and Genomics (PhD)

Keywords:

gene regulation
transcriptome
association studies
machine learning
epigenomics
epigenetics

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Committee Members:

Dajiang Liu, Chair & Dissertation Advisor
Shaun Mahony, Major Field Member
James Broach, Outside Unit & Field Member
Santhosh Girirajan, Major Field Member
George H Perry, Program Head/Chair

Author:

Zawadzki, Brianna

Title:

Investigating Planet Formation Through Simulation, Observation, and Machine Learning

Graduate Program:

Astronomy and Astrophysics (PHD)

Keywords:

astronomy
protoplanetary disks
exoplanets
planet formation
machine learning
interferometry
imaging

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Committee Members:

Bradford Foley, Outside Unit & Field Member
Rebekah Dawson, Major Field Member
Kevin Luhman, Major Field Member
Robin Ciardullo, Program Head/Chair
Ian Czekala, Chair & Dissertation Advisor
Eric Ford, Major Field Member

Author:

Zhou, Chen

Title:

Application of machine learning to optical sensing and imaging

Graduate Program:

Electrical Engineering (PHD)

Keywords:

Optical sensing
optical imaging
machine learning

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Committee Members:

Zhiwen Liu, Chair & Dissertation Advisor
Christine Keating, Outside Unit & Field Member
Seyedehaida Ebrahimi, Major Field Member
Madhavan Swaminathan, Program Head/Chair
Xingjie Ni, Major Field Member

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 (PHD)

Keywords:

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

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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:

Yu, Anya

Title:

Investigating the Impact of Language Experience on Second Language Reading Comprehension Using a Resting-State Connectome-based Predictive Model

Graduate Program:

Psychology (PHD)

Keywords:

L2 reading
immersion
resting-state fMRI
machine learning
implicit learning

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Committee Members:

Roger Beaty, Major Field Member
Frank Hillary, Major Field Member
Janet van Hell, Chair & Dissertation Advisor
Peggy Van Meter, Outside Unit & Field Member
Kristin Buss (she/her), Program Head/Chair

Author:

Eckert, Scott

Title:

Studying risk factors for antibiotic resistance from population-scale microbiome data and machine learning

Graduate Program:

Bioinformatics and Genomics (PhD)

Keywords:

Microbiome
bioinformatics
antibiotic resistance
idiopathic pulmonary fibrosis
statistical genetics
machine learning

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Committee Members:

Dajiang Liu, Chair & Dissertation Advisor
James Broach, Major Field Member & Dissertation Advisor
Leslie Parent, Outside Unit & Field Member
Emily Davenport, Major Field Member
David Koslicki, Program Head/Chair

Author:

Behoora, Ishan

Title:

Line of sight sensors: Applications and related 1.5D terrain guarding problem variants

Graduate Program:

Computer Science and Engineering (PHD)

Keywords:

machine learning
algorithms
computational geometry
approximation
hardness
line of sight sensors

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Committee Members:

Chitaranjan Das, Program Head/Chair
Martin Fürer, Chair & Dissertation Advisor
Antonio Blanca, Major Field Member
Kamesh Madduri, Major Field Member
Reuben Kraft, Outside Unit & Field Member
Piotr Berman, Special Member

Author:

Liu, Zhihan

Title:

Novel machine learning methods for interpreting human genetic variants

Graduate Program:

Molecular, Cellular, and Integrative Biosciences (PHD)

Keywords:

machine learning
copy number variation
de novo mutation
pathogenicity prediction
penetrance estimation

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Committee Members:

Melissa Rolls, Program Head/Chair
Qunhua Li, Outside Unit & Minor Member
Mingfu Shao, Outside Field Member
Dajiang Liu, Outside Unit Member
Shaun Mahony, Major Field Member
Santhosh Girirajan, Chair & Dissertation Advisor