Megan Borek Email & Phone Number

Boulder, Colorado, United States

• Designed and implemented test plans for software and hardware compliance with image quality standards such as VCX, EMVA 1288, and ISO.• Created automated workflows and controls for image capture and analysis using MATLAB, Python, Imatest, Zaber, and various hardware SDKs.• Set up and operated cameras, lights, and test charts in controlled lab environments to collect desired data.• Characterized cameras and image sensors using various image quality factors such as sharpness, noise, uniformity, color accuracy, and more.• Worked closely with cross-functional teams to handle mechanical, digital and software issues.• Developed and directed software system testing and validation procedures, programming and documentation.• Developed python framework for automatic report generation from JSON results.

Boulder, Colorado, United States

Designed and implemented test plans for the characterization of commercial CMOS image sensors according to EMVA 1288. Automated workflows and hardware for lighting control, motion control, data capture, and analysis according to EMVA standards using MATLAB, Python, and hardware SDKs.Increased automatic test coverage for image analysis workflows in Imatest software using MATLAB Unit Testing Framework.

Rochester, New York, United States

Teaching assistant for coding and image processing classes taught in RIT's Imaging Science Department under Professor Carl Salvaggio, Ph.D. (https://home.cis.rit.edu/~cnspci/index.php)Introduction to Object-Oriented Scientific Computing: This course covers fundamental concepts of object-oriented programming using the most recent C++ programming language standard, including streamed input and output, data types, objects and classes, templates, lambda expressions, flow control, repetition, program decomposition and library development, software engineering/design concepts, and problem-solving approaches such as the use of randomness, divide-and-conquer, Monte Carlo simulation, ill-posed solutions, and search will be examined in detail and applied to scientific, mathematical, and imaging-specific problems. In addition to the base language concepts, students will utilize popular open-source and public-domain libraries such as Boost, Eigen, and OpenCV.Image Processing and Computer Vision I & II:These courses cover basic concepts of image processing and computer vision, including image capture and image formation methodologies, sampling and quantization concepts, statistical descriptors and enhancement techniques based upon the image histogram, point processing, neighborhood processing, and global processing techniques based upon kernel operations and discrete convolution as well as the frequency domain equivalents, geometrical operations for scale and rotation, and grey-level resampling techniques. I provide guidance to students on class projects, including coding concepts, syntax, compiling and troubleshooting, and Linux system navigation. I also grade and provide feedback on student submissions.

Rochester, New York, United States

Facilitated remote sensing research, data collection, data processing, and development of imaging instruments and algorithms for DIRS research group at RIT. Aided with data collection via unmanned aerial surveys; coordinated ground targets for GPS and calibration; conducted spectral ground measurements Processed and analyzed multiple types of collected data (e.g. hyperspectral, infrared, RGB, LiDAR)Gained proficiency in geospatial and image manipulation/processing software including ENVI, Pix4Dmapper, and Headwall Hyperspec®Tested methods for detecting hidden ground features from aerial imagery

Natick, Massachusetts, United States

Summer 2021 Intern for the Mathworks Engineering Development Group in quality engineering for Image Processing Toolbox. I designed and authored test code for toolbox functions and classes as a quality engineer for MATLAB Image Processing Toolbox, with the purpose of increasing testing reliability by replacing system level tests with unit level tests. Tests were written using the MATLAB Unit and App Testing Frameworks. I also researched and implemented integration-level tests for older app frameworks that could not be tested at a unit level, which was an unprecedented undertaking for the toolbox's QE team.

Rochester, New York, United States

Setup, operation, and teardown of audio, lighting, and power equipment for campus events at the Rochester Institute of TechnologyDeveloped familiarity with production equipment through hands-on training and work experience at various live events