Graduate Student, Mechanical and Aerospace Engineering
Graduate Research Assistant
College of Engineering and Mineral Resources
Thesis Title: Development and Evaluation of a Fault Detection and Identification Scheme for the WVU YF-22 UAV Using the Artificial Immune System Approach
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Mario Perhinschi
Marcello Napolitano |
About
Recently graduated with a MS in Aerospace Engineering with flawless academic records and also performing vanguard research in the area of artificial intelligence based failure detection. With little supervision and in less time than expected, I developed a detection scheme capable of identifying different failures using flight-test data of a small size UAV. While doing this research I effectively managed multiple priorities and deadlines to comply with other required projects comprising: flight vehicle and environment modeling and analysis, development of simulation environments and conduction of system verification and testing. I have substantial experience with Matlab/Simulink applied to modeling and simulation. My academic background includes classical and modern control theory, system modeling, Kalman filter design, numerical techniques, aerodynamics and CFD analysis. I possess exceptional interpersonal, written, and verbal communication skills as expressed by my colleagues and supervisors. I am adaptable to any environment being a strong team player but also, when required, a natural team leader.
Contact Information
| Address: | 221 Willey St. Apt. 2 |
| Telephone: |
304-906-5898 |
