Remote Opportunities: A Rethinking and Retooling. - Yagiz Onat Yazir; Katherine Gunion; Christopher Pearson; Celina Gibbs; Anthony Estey; Steven Lonergan; Yvonne Coady (C5, 2008)

Intuitive Source Code Visualization Tools for Improving Student Comprehension: BRICS - Christopher Pearson; Celina Gibbs; Yvonne Coady (CoRR, 2008)

Bootstrapped inverter using a pentacene thin-film transistor with a poly(methyl methacrylate) gate dielectric. - Youngjun Yun; Christopher Pearson; Michael C. Petty (IET Circuits Devices Syst., 2009)

Stable white light emission from an externally modified organic light-emitting device. - Juan J. Giner-Casares; María T. Martín-Romero; Luis Camacho; Blanca Cocho Martinez; Duncan Cadd; Christopher Pearson; Michael C. Petty (Displays, 2010)

TransCloud - Design Considerations for a High-performance Cloud Architecture Across Multiple Administrative Domains. - Andy C. Bavier; Marco Yuen; Jessica Blaine; Rick McGeer; Alvin Au Young; Yvonne Coady; Chris Matthews; Christopher Pearson; Alex C. Snoeren; Joe Mambretti (CLOSER, 2011)

Logic Gate and Circuit Training on Randomly Dispersed Carbon Nanotubes. - Apostolos Kotsialos; Mark K. Massey; Fawada Qaiser; Dagou A. Zeze; Christopher Pearson; Michael C. Petty (Int. J. Unconv. Comput., 2014)

Manipulating the conductance of single-walled carbon nanotubes based thin films for evolving threshold logic circuits using particle swarm optimisation. - Fawada Qaiser; Apostolos Kotsialos; Mark K. Massey; Dagou A. Zeze; Christopher Pearson; Michael C. Petty (CEC, 2016)

Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms. - Eléonore Vissol-Gaudin; Apostolos Kotsialos; Mark K. Massey; Dagou A. Zeze; Christopher Pearson; Chris Groves 001; Michael C. Petty (PPSN, 2016)

Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms. - Eléonore Vissol-Gaudin; Apostolos Kotsialos; Mark Kieran Massey; Dagou A. Zeze; Christopher Pearson; Chris Groves 001; Michael C. Petty (UCNC, 2016)

Solving binary classification problems with carbon nanotube / liquid crystal composites and evolutionary algorithms. - Eléonore Vissol-Gaudin; Apostolos Kotsialos; Mark K. Massey; Chris Groves 001; Christopher Pearson; Dagou A. Zeze; Michael C. Petty (CEC, 2017)

Computing Based on Material Training: Application to Binary Classification Problems. - Eléonore Vissol-Gaudin; Apostolos Kotsialos; Chris Groves 001; Christopher Pearson; Dagou A. Zeze; Michael C. Petty (ICRC, 2017)

Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers. - Eléonore Vissol-Gaudin; Apostolos Kotsialos; Chris Groves 001; Christopher Pearson; Dagou A. Zeze; Michael C. Petty; Noura Al Moubayed (CEC, 2018)

Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements. - Haibin Luo; Zhenhong Li 001; Jiajun Chen; Christopher Pearson; Mingming Wang; Weicai Lv; Haiyong Ding (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Towards Intelligently Designed Evolvable Processors. - Benedict A. H. Jones; John L. P. Chouard; Bianca C. C. Branco; Eléonore Vissol-Gaudin; Christopher Pearson; Michael C. Petty; Noura Al Moubayed; Dagou A. Zeze; Chris Groves 001 (Evol. Comput., 2022)

gridwxcomp: A Python package to evaluate and interpolate biases between station and gridded weather data. - John M. Volk; Christian Dunkerly; Christopher Pearson; Charles G. Morton; Justin L. Huntington (J. Open Source Softw., 2025)