Samuel Mantravadi, PhD
Areas of Expertise
- Wavefront aberration correction
- Signal and image processing
- Neuromorphic photonic processing
- Modeling and simulation of optical systems
- Embedded systems cybersecurity
Background and Current Work
Dr. Samuel Mantravadi is a signal processing engineer at Riverside Research. He has extensive experience with complex optical system modeling, signal processing, and embedded systems cybersecurity. Dr. Mantravadi applies his knowledge of sensor systems and embedded systems to address cybersecurity challenges when connecting processors and networking directly to sensors including medical devices, automobiles, aircraft systems, and other sensor systems. He is currently developing a signal processing architecture to understand side-channel information from embedded systems. He also conducts exploratory studies on applying photonic technologies to perform neuromorphic computing.
Education, Awards, and Recognition
Dr. Mantravadi received a BS from Cedarville University, an MSE from Wright State University, and a PhD from the Air Force Institute of Technology—all in electrical engineering. His dissertation focused on the design of a computed tomography based hyperspectral imaging sensor. Chromatic aberration of a lens was used to build hyperspectral images using computed tomography. A noise analysis was then conducted on this hyperspectral imager to compare parameters for the design and then the design choices were verified with experimental data.