Publications

(* denotes equal contribution)

2019

  1. Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction Luke Guerdan*, Peng Sun*, Connor Rowland, Logan Harrison, Zhang Tang, Nick Wergeles, and Yi Shang MICCAI Adolescent Brain Cognitive Development Neurocognitive Prediction Challenge, 2019 [PDF]
  2. Extracting Motion-Related Subspaces from EEG in Mobile Brain/Body Imaging Studies Lukas Gehrke*, Luke Guerdan*, and Klaus Gramman 9th International IEEE/EMBS Conference on Neural Engineering, 2019 [PDF] [Poster]

2018

  1. TigerAware: An Innovative Mobile Survey and Sensor Data Collection and Analytics System Will Morrison, Luke Guerdan, Jayanth Kanugo, Tim Trull, and Yi Shang IEEE DSC, 2018

2017

  1. Augmented Resource Allocation Framework for Disaster Response Coordination in Mobile Cloud Environments Luke Guerdan, Olivia Apperson, and Prasad Calyam IEEE MobileCloud, 2017 [PDF] [Poster]

2016

  1. ADA - Automatic Detection of Alcohol Usage for Mobile Ambulatory Assessment Peng Sun, Nick Wergeles, Cheng Zhang, Luke Guerdan, Tim Trull, and Yi Shang IEEE SmartComp, 2016