PhD Student
Robotics
FXB 2016 – [email protected]
About Jeremy
I am an avid engineer and data scientist specializing in robotic systems. I enjoy working in hardware and software while also modeling the physical systems I aim to control. I am currently pursuing a PhD in Robotics at the University of Michigan specializing in autonomy and safety for Unmanned Aerial Systems (UAS). My work focuses on emergency landing for UAS by helping augment decision making capabilities through machine learning and multi-modal data fusion. Prior to pursing my PhD I worked as a control systems engineer in the oil and gas industry for three years focusing on safety systems.
I am familiar and adept with many control systems, safety systems, and general control technology. I am proficient in more than a dozen programming languages and am an active learner. In addition, I am a self taught web developer with a deep understanding of JavaScript and the ecosystem of tooling used both on the server and frontend.
Recent Publications
Journal Papers:
- Castagno, Jeremy, and Ella Atkins. “Roof Shape Classification from LiDAR and Satellite Image Data Fusion Using Supervised Learning.” Sensors 18.11 (2018): 3960.
- Sun, Liang, Castagno, J. D., Hedengren, J. D., & Beard, R. W. “Parameter estimation for towed cable systems using moving horizon estimation.” IEEE Transactions on Aerospace and Electronic Systems 51.2 (2015): 1432-1446.
Conference Papers:
- Castagno, Jeremy, Cosme Ochoa, and Ella Atkins. “Comprehensive risk-based planning for small unmanned aircraft system rooftop landing.” 2018 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2018.
- Castagno, Jeremy D., and Ella M. Atkins. “Automatic Classification of Roof Shapes for Multicopter Emergency Landing Site Selection.” arXiv preprint arXiv:1802.06274(2018)
- McDonough, K., Castagno J.D., Player, J., Atkins, E.M. (2018). RANGR: Risk Aware Navigation and Guidance for Resilience. AUVSI XPONENTIAL 2018