Mark Piazza Email & Phone Number

Peoria, Illinois, United States

Conduct Hardware-in-the-Loop (HIL) simulation tests, using dSPACE Simulator, to validate new engine software.

Tucson, Arizona, United States

• Assisted in the development of the Electric Rope Shovel bench schematics, using PLC hardware and software (e.g., Siemens Step-7) information to create 49 drawings with AutoCAD Electrical• Created 67 PLC graphics using Siemens WinCC for the new Wave 3 maintenance station software being released in early 2021• Proactively developed Python programs for tasks I identified as having an opportunity to be automated (e.g., wrote a program that could properly update and merge operator display translations), saving the team an estimated 100 work hours annually• Improved the software team’s documentation by making modifications and implementing a more effective organizational structure (e.g., improved version control using tools such as Git) – ultimately created 33 feature modification instructions

Tucson, Arizona

• Identify areas of the course could be improved and proactively develop course material (e.g. assignment requirement documents and detailed solutions)• Recognized for initiative and quality of work resulting in higher-level responsibilities typically awarded to workers above my position (e.g. asked to improve & edit all homework assignments)• Independently grade students’ homework assignments, quizzes, and exams

Tucson, Arizona - Aerospace And Mechanical Engineering Department

• Leading role in the development of object avoidance for an unsupervised autonomous robot designed to navigate in an unknown environment using a local LiDAR sensor• Researched and implemented a variety of object avoidance algorithms (e.g., Virtual Force Field, Vector Field Histogram) using MATLAB in communication with Robot Operating System (ROS) • Collected experimental run data to create simulations that provide a qualitative understanding of the robot’s behavior• Collaborated with team members to implement effective data filtration methods in an attempt to minimize inefficient or undesirable movement resulting from instances of inaccurate data or data saturation