Manufacturing Excellence: Graduate Students | Data Science Institute for Machine Learning and AI

Current & Former Graduate Students

Chloe Ericksen, Graduate Student — Chloe Ericksen

2022 M.S. Forestry in Bio-Based Products Technology Concentration

TBD: “Focused on Data Science and AI“

Mika Donahue, Graduate Student — Mika Donahue

2021 M.S. Forestry in Bio-Based Products Technology Concentration

TBD: “Focused on Data Science, Data Fusion and TQDM“

David Juriga, Graduate Student — David Juriga

2019 M.S. Forestry in Bio-Based Products and Wood Science Technology Concentration

Improving manufacturing data quality with data fusion and advanced algorithms for improved total data quality management

Christoph Metzner, Graduate Student — Christoph Metzner

2018 M.S. Forestry in Bio-Based Products and Wood Science Technology Concentration

Strategies for continuous improvement and improved competitiveness for the sustainable bio-based industries

2016 M.S. Forestry in Bio-Based Products and Wood Science Technology Concentration

A simulation model of the ‘Bio-Depot’ concept in the context of components of variance and the ‘Taguchi Loss Function’

2018 M.S. Forestry in Bio-Based Products and Wood Science Technology Concentration

Lignin maximization: analyzing the impact of different feedstocks and feedstock ratios using organsolv fractionation

2015 PhD Natural Resources in Bio-Based Products and Wood Science Technology Concentration
2015 M.S. Statistics

Nanoscaled cellulose and its carbonaceous material: application and local structure investigation

2015 M.S. Forestry in Bio-Based Products and Wood Science Technology Concentration

Development of cross laminated timber in the United States of America

2013 M.S. Forestry in Bio-Based Products and Wood Science Technology Concentration

Maximizing lignin yield using experimental design analyzing the impact of solvent composition and feedstock particle size on the organsolv process

2012 M.S. Forestry in Bio-Based Products and Wood Science Technology Concentration

Lignin Yield Maximization of Lignocellulosic Biomass by Taguchi Robust Product Design

2011 M.S. Statistics

An Analysis of Boosted Regression Trees to Predict the Strength Properties of Wood Composites

2011 M.S. Statistics

A study of missing data imputation and predictive modeling of strength properties of wood composites

2010 M.S. Statistics

Bayesian Logistic Regression Models for Siting Biomass-using Facilities

2009 M.S. Statistics

A Statistical Analysis of Key Factors Influencing the Location of Biomass-using Facilities

2009 M.S. Statistics

A Statistical Reliability Analysis of the Variability and Upper Percentiles of Wood Strand Thickness of Oriented Strand Board

2009 M.S. Statistics

Reliability of Wood Plastic Composites and Improving Lower Percentile Estimation via Induced Percentile Censoring

2008 M.S. Statistics

Comparing Linear Discriminant Analysis with Classification Trees Using Forest Landowner Survey Data as a Case Study with Considerations for Optimal Biorefinery Siting

2007 M.S. Statistics

An Applied Statistical Reliability Analysis of the Modulus of Elasticity and Modulus of Rupture for Wood-Plastic Composites

2007 M.S. Statistics

Examining Regression Analysis Beyond the Mean of the Distribution

2007 M.S. Statistics

Reliability Analysis of Oriented Strand Board’s Strength with a Simulation Study of the Median Censored Method for Estimating of Lower Percentile Strength

2006 M.S. Statistics

Function Domain Sets Confidence Intervals for the Mean Residual Life Function with Applications in Production of Medium Density Fiberboard Product Quality

2005 M.S. Statistics

A Reliability Case Study on Estimating Extremely Small Percentiles of Strength Data for the Continuous Improvement of Medium Density Fiberboard

2004 M.S. Statistics

An Applied Statistical Reliability Analysis of the Internal Bond of Medium Density Fiberboard

2002 M.S. Wood Science Technology

A Modified Six Sigma Quality Approach to Improving the Quality of Hardwood Flooring