Name | Year | Degree Level | Thesis |
Vikas Chawla | 2016 | MS | A Bayesian Network approach to County-Level Corn Yield Prediction Using Historical Data and Expert Knowledge |
Ryan Gebhardt | 2016 | PhD | Experimental and theoretical investigations of charge generation and transport in thin film photovoltaics |
Nigel Lee | 2016 | MS | High-throughput phenotyping of above and below ground elements of plants using feature detection, extraction and image analysis techniques |
Hiep Tran | 2016 | MS | Computing view factors for circular air ducts in attics: calculating fast and accurate approximations |
Hsiang Naik | 2016 | MS | Image analysis and machine learning based methods for disease detection in soybeans |
Kahnietta O’Prout | 2016 | MS | |
Anthony Fontanini | 2016 | PhD | Analyzing the characteristics of contaminant transport using the Perron-Frobenius operator in indoor building environments |
Minhua Long | 2016 | PhD | Consideration behavior and design decision making |
Yu Xie | 2015 | PhD | A computational framework for solving coupled equation systems using finite element method and introduction to a versatile fault-tolerant toolkit for high throughput batch processing |
Lucas Mutti | 2014 | MS | |
Hari Krishna Kodali | 2013 | PhD | |
Qiang Guo | 2013 | PhD | Incorporating stochastic analysis in wind turbine design: data-driven random temporal-spatial parameterization and uncertainty quantification |
Sai Kiranmayee Samudrala | 2013 | PhD | |
Robert Jaeger | 2012 | MS | The effect of stochastic nano-scale surface roughness on microfluidic flow in computational microchannels |
David Busch | 2011 | MS | |
Sameer Jape | 2011 | MS | |
Baskar Ganapathysubramanian | 2008 | PhD | Computational strategies for data-driven modeling of stochastic systems |