Peter Mueller
**** ****** ***** **, ****, NC ****9 • 919-***-**** • ac17cr@r.postjobfree.com
Profile
Versatile Biomedical Engineer with a focus in electrical device design and medical image analysis. Education
University of North Carolina, Chapel Hill
NC State University, Raleigh
Masters of Science, Biomedical Engineering, Joint UNC/NCSU Degree Thesis: Development and Analysis of Dermal Wound Image Processing Techniques Graduation Date May 2017
Western Carolina University, Cullowhee
Bachelor of Science, Electrical Engineering
Graduation Date May 2015
Technical Skills
Matlab Circuit Design Statistical Analysis
Java Signal/Filter Design LabVIEW
Python Medical Image Analysis Power Systems
Work Experience
May 2017 - September 2017
Bioptigen Inc, Research Triangle Park
Independent Contractor - Measurement Validation Algorithm Support Ran and assessed automated segmentations of OCT(Optical Coherence Tomography) images for failure modes. Developed validation and test procedures for automated segmentation of OCT images. May 2016 - May 2017
UNC Chapel Hill, Chapel Hill
Graduate Research Assistant -Sponsored by GlaxoSmithKline Worked in Hubbard Lab investigating the Microsoft Kinect as an image acquisition device. Developed and tested algorithms of image segmentation for measuring burn wounds. Graduate Teaching Assistant
Assisted professors by running labs, grading classwork/exams, and operating 3D Printers for students. Classes: Fundamentals of Biomedical Electronics, Biomedical Instrumentation, Sophomore Design, Junior Design May 2014 - August 2014
USASOC (United States Army Special Operations Command), Ft. Bragg Electrical Engineering Internship
Analyzed needs and designed electrical based solutions in a fast paced and high pressure environment. Researched and tested possible renewable energy technologies to increase efficiency. Investigated new features for human physiology engine developed by Applied Research Associates. Jan 2013 - May 2015
WCU Information Technology, Cullowhee
Student Computing Consultant
Fixed computers with software issues such as virus removal or system failures. Used intensive problem solving skills to analyze computers and discover solutions. Interacted with clients to help them make informed decisions about their computer. Projects
Development and Testing of Segmentation Methods for Dermal Burns Master’s Thesis for UNC Chapel Hill
Developed and tested edge and chan-vese active contours methods for segmenting burn wounds in images. Investigated the Microsoft Kinect Near Infrared and Depth cameras as an dermatological image acquisition device.