Real-Time Seizure State Tracking Using Two Channels: A Mixed-Filter Approach. - Mohammad Badri Ahmadi; Alexander Craik; Hamid Fekri Azgomi; Joseph T. Francis; José Luis Contreras-Vidal; Rose T. Faghih (ACSSC, 2019)

Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks. - Alexander Craik; Atilla Kilicarslan; José Luis Contreras-Vidal (EMBC, 2019)

A Translational Roadmap for a Brain-Machine-Interface (BMI) System for Rehabilitation. - Alexander Craik; Atilla Kilicarslan; José L. Contreras-Vidal (SMC, 2019)

Design Principles for Mobile Brain-Body Imaging Devices with Optimized Ergonomics. - Niell Gorman; Antoinette Louw; Alexander Craik; Jose Gonzalez; Jeff Feng; José Luis Contreras-Vidal (AHFE (17), 2021)

Brain-eNet: Towards an Enabling Technology for BCI-IoT Systems. - Juan José González-España; Lianne Sánchez Rodríguez; Alexander Craik; Sarah Wong; Jeff Feng; José Luis Contreras-Vidal (SMC, 2023)

Optimization of Electrode Configuration for the Removal of Eye Artifacts with Adaptive Noise Cancellation. - Juan José González-España; Alexander Craik; Carolina Ramirez; Ayman Alamir; José Luis Contreras-Vidal (SMC, 2023)

Design and Validation of a Low-Cost Mobile EEG-Based Brain-Computer Interface. - Alexander Craik; Juan José González-España; Ayman Alamir; David Edquilang; Sarah Wong; Lianne Sánchez Rodríguez; Jeff Feng; Gerard E. Francisco; José L. Contreras-Vidal (Sensors, 2023)