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William Turri

Division Head, Applied Sensing

University of Dayton Research Institute: Applied Sensing


Email: William Turri
Phone: 937-681-6758
1700 S. Patterson Boulevard, Rm M3350, Dayton, OH 45409
Website: Visit Site


William Turri oversees the activities of more than 40 engineers, scientists, and technicians who perform research and development for high-performing sensor systems. Types of sensor systems include visible and infrared spectra electro-optic cameras, multi- and hyper-spectral imaging sensors, polarimetric imaging sensors, and synthetic aperture radar imaging systems. Emphases in all areas of research are algorithmic improvement, computational acceleration and system integration for deployment. He has 15 years of experience in conducting and directing sensor research efforts for government customers, with a major emphasis in the area of hardware acceleration of algorithms in Field-Programmable Gate Arrays (FPGAs). He formerly taught professional education classes on behalf of a major FPGA vendor.


Research and development activities conducted within the Applied Sensing division include the following:

  • Developing and deploying a complete hardware implementation of the JPEG 2000 image compression standard
  • Developing a hardware implementation of the essential features of the H.264 video compression standard
  • Developing a hardware-accelerated implementation of SAR image formation algorithms in FPGAs to dramatically reduce size, weight and power (SWaP) of the system
  • Testing and developing with the latest tools and languages for advanced computer system architectures
  • Assessing and improving algorithms and implementations of SAR and hyperspectral image compression algorithms
  • Developing a software framework to support the command and control of multiple small Unmanned Aerial Systems (UAS), and integrating sensors and subsystems into small UAS (SUAS) for flight test
  • Implementing software Open System Architectures in systems for the Air Force, including Open Mission Systems (OMS) and Sensor Open System Architectures (SOSA)
  • Implementing and testing advanced target tracking algorithms for a variety of sensor imaging modalities
  • Supporting fielded UAS
  • Performing research into the improvement of geo-registration techniques for airborne ISR imagery


  • M.S., Electrical Engineering, University of Dayton, 2002
  • B.S., Electrical Engineering, University of Dayton, 2000