James Graham, PhD

James Graham, PhD

Areas of Expertise

  • Machine learning
  • Image processing
  • Signal processing
  • Embedded systems
  • Image/data fusion

Background and Current Work

Dr. James Graham is a research engineer for Riverside Research performing research in the areas of machine learning (cognitive intelligence, deep learning, etc.), signal and image processing, pattern recognition, and tracking. While at Riverside Research, Dr. Graham has been researching ways to leverage side-channel emissions to distinguish between different devices or even the software running on a device. Dr. Graham also has experience working with the USAF in the areas of machine learning and image processing.

Education, Awards, and Recognition

Dr. Graham received his BS in electrical engineering from the University of Michigan and his MS and PhD in electrical engineering from Ohio University. He has authored or co-authored over 20 journal and conference publication articles.