Gregory Waligorski Email & Phone Number

Scottsdale, Arizona, US

• Using C++20 and scripting languages on Windows and Linux, developed cross-platform numerical models of onsemi high-dynamic-range (HDR) image sensors (e.g., AR0823AT) and a software framework enabling the application of.
• Enabled the models to process several types of spectral irradiance input produced by scene and optics simulations done with Ansys simulation software (AVxcelerate and Speos). Used the models to process the results of.
• Explored new ways to obtain quality input for the sensor models, faster and cheaper than the abovementioned scene and optics simulations, such as rescaling and denoising of images from multispectral HDR cameras.

Andover, MA, US

• Developed algorithms to automatically capture ARINC-661-compatible digital descriptions of aircraft instruments from videos showing them in action.
• Conducted research and algorithm/software development in the fields of sensor-fusion-enhanced multi-camera dynamic aerial photogrammetry and automated recovery of camera orientation from images, as Principal.
• Using C++17 and Qt Creator, developed a GUI-based control and data acquisition application needed to productize an X-ray scanner system.
• Developed algorithms for detecting horizon in images and finding local vertical direction, to be used in a GPS-denied aerial navigation system.
• Developed digital image correlation and 3D shape reconstruction software to process video output from a custom motion capture stereoscopic camera system.
• Developed Python code for deep-learning-based detection and multi-mode tracking of small drones in videos from infrared and visible-range cameras.

• Developed image processing algorithms and autoexposure (AE) algorithms for time-of-flight (TOF) 3D cameras, from test implementations in MATLAB and C++11 to integration in 3D camera firmware. Several of the algorithms.
• Invented and developed new methods to improve performance of TOF 3D cameras, for example, their depth sensing range and frame rate.
• Authored and co-authored 9 invention disclosures based on the work mentioned above, resulting in 5 U.S. patents granted in the years 2016-2024. Received a Platinum IP Award for excellent work as a Patent Review.
• Co-developed a MATLAB/CUDA image processing application used to demonstrate the performance of Samsung organic-on-Si image sensors during top-level internal Samsung Technology Fairs held in Korea in 2013 and 2014..
• Built new 3D camera technology demonstration systems and developed data processing and 3D visualization software for those systems, using MATLAB and C++11. Three generations of these systems were successfully used to.
• Characterized prototype 3D TOF image sensors, including sensors with a novel ambient light cancellation (ALC) system and monolithic color and depth (RGBZ) sensors. Developed data analysis methods to unravel complex.

• Co-developed embedded software for Eclipse companion chip featured in the company’s autofocus (AF) camera modules, using C and Keil uVision 3 integrated development environment (IDE). Was responsible for the design.
• Developed and evaluated algorithms for demosaicing Bayer images, correcting image artifacts caused by pixel binning, correcting vignetting and color shading, reducing image noise, and enhancing image contrast and colors.

Boise, Idaho, US

• Co-developed embedded software for a 5 Mpixel camera system on a chip (CSOC) featuring an ARC microprocessor, using C++ and ARC MetaWare IDE. Was responsible for developing autofocus (AF), auto white balance (AWB), and.

Boise, Idaho, US

• Co-developed, maintained, and documented a Perl-scripts-based digital design verification suite. Used the suite to do daily verification of an 8 Mpixel CMOS image sensor (CIS) design during its development. Compiled.
• Tested and evaluated image processing algorithms in a CSOC simulator created by a team of algorithm developers using C++, SystemC and MATLAB. Investigated problems, proposed algorithm improvements, and collaborated.

Boise, Idaho, US

• Using C/C++ and Freescale CodeWarrior IDE, co-developed an AF module in embedded software for Micron MT9D111 2 Mpixel CSOC featuring a Motorola-68HC11-compatible microcontroller. Wrote and tested AF lens drivers for.
• Created test benches for testing initial versions of the MT9D111 design, using VHDL, Open Verification Library (OVL), and Translogic EASE. Investigated the feasibility of using Property Specification Language (PSL) in.

Boise, Idaho, US

• Selected and recommended KVD M2i mixed signal tester as the initial platform for CIS testing at Micron. Oversaw purchase, deployment, and evaluation of 2 pilot M2i testers, all completed in 3 months. Wrote initial CIS.
• Adapted Photobit test software for HP/Agilent 94000IP testers to do final testing of 3 high-speed CIS products at an overseas test facility. Assisted the test contractor in the installation and verification of the.

• Managed a team of 4 test engineers developing and supporting all CMOS image sensor (CIS) test solutions used by Photobit in house and at overseas test facilities, e.g., at King Yuan Electronics Co. (KYEC) in Taiwan.
• Recognized early the need to develop in-house a highly capable software suite for testing Photobit CIS products on the Agilent/HP 94000IP automated testers, which were becoming available at overseas test houses faster.

• Using Microsoft Visual Studio IDE, Visual C++, Excel, and Visual Basic for Applications (VBA), developed a Windows software suite for an inexpensive, PC-based, manually operated CIS tester built around the digitally.
• Characterized CIS prototypes. Purchased and constructed instrumentation for the company’s CIS characterization lab. Developed characterization methodology, hardware kits, and software tools (Windows applications and.
• Developed an LED-based, digitally controlled light source for image sensor characterization and testing (covered by U.S. patent #6222172 and newer patent application #20110169421).

Doctor Of Philosophy (Ph.D.), Physics

Master’S Degree, Physics