Cameron grew up in Florida where he earned his Bachelor’s in Electrical Engineering from UCF Orlando. He then moved to Brooklyn to attend NYU for his Master’s in Electrical Engineering. During this time he worked on many interesting projects including a brain-computer interface to control a wheelchair via an EEG helmet, classification of MTBI in 3D DW-MR brain images, and novel algorithms for compressing neural networks.
Prior to joining Kitware, Cameron interned at Logos Technologies where he designed deep learning networks for drone surveillance applications, and Novel Engineering where he worked on system design of a deep-space communications cubesat.
- M. Kirchner and C. Johnson, "SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning," in IEEE International Workshop on Information Forensics and Security (WIFS), 2019. Winner, Best Paper Award. [URL]