Mr. William Mangram | System Dynamics | Best Researcher Award

Mr. William Mangram | System Dynamics | Best Researcher Award

Mr. William Mangram, Maxar, United States

William Mangram is a highly skilled and accomplished engineer with a strong educational background and diverse work experience in the fields of aeronautics, astronautics, and applied physics. He earned his M.S. in Applied and Engineering Physics with a concentration in Nanoscience and Quantum Engineering from Stanford University in 2021, following his B.S. in Aeronautics and Astronautics Engineering from the same prestigious institution in 2019. During his academic career, William spearheaded a groundbreaking research project on Sensor Network Deployment, focusing on the optimization of devices using stretchable electronics. This project, which involved the innovative methodology inspired by water transfer printing, culminated in the publication of a conference paper.William’s professional journey began as a Platform Analytic Engineer Intern at Maxar Technologies, where he developed autonomous software packages to analyze spacecraft anomalies and established metrics for a Statistical Process Control (SPC) model. He further honed his expertise at NASA as an Engineering Research Assistant, where he contributed to the development of acoustic techniques for monitoring spacecraft propellant tanks under reduced/zero-gravity conditions during suborbital flights with Blue Origin NS-23. His role involved extensive use of various sensors and data analysis tools, reflecting his proficiency in handling complex technical challenges.

Professional Profile

🎓 Education

Stanford University
🗓️ September 2019 – 2021
M.S. in Applied and Engineering Physics
🔬 Concentration: Nanoscience and Quantum Engineering

Stanford University
🗓️ September 2015 – June 2019
B.S. in Aeronautics and Astronautics Engineering

🔬 Research Projects

Sensor Network Deployment

  • Performed a study aimed at optimizing devices with stretchable electronics for high spatial accuracy.
  • Compatible with 3D target surfaces with complexities such as discontinuity, compound curvature, and large deformations.
  • Methodology inspired by water transfer printing.
  • Published Conference Paper: DOI 10.12783/shm2019/32426

🛠️ Technical Strengths

Modeling and Analysis:
💻 AutoCad, SolidWorks, LabView, FEA, CFD, Blender, Abaqus

Software & Tools:
📊 MS Office, LaTeX, Python, C++, MATLAB, Simulink, TensorFlow, ROS

Academic Specializations:
🌌 Dynamics/Orbital Mechanics, PID Control Systems, Frequency Response

💼 Work Experience

Russel Sigler Inc. – Carrier HVAC
📍 San Jose, CA
🗓️ October 2022 – Present
Technical Engineer

  • Provided technical engineering for design, systems application, and proposal preparation.
  • Responsible for commercial HVAC application design, technical specification writing, equipment selection, job pricing, bid project creation, submittals, orders, and other responsibilities.

NASA
📍 Mountain View, CA
🗓️ August 2020 – October 2022
Engineering Research Assistant

  • Focused on acoustic techniques for monitoring spacecraft propellant tanks in reduced/zero-gravity during suborbital flight with Blue Origin NS-23.
  • Extensive use of sensors and hardware for generating and monitoring acoustic data.
  • Conducted data analysis and post-processing with LabView, MATLAB, Python, and C++.

 

Publications Notes:📄

Design and Manufacture of Multifunctional 3-D Smart Skins with Embedded Sensor Networks for Robotic Applications

Design of island-bridge layout stretchable electronics for high spatial accuracy deployment