2013 Summer Undergraduate Research in Engineering (SURE)/Summer Research Opportunity Program (SROP) projects
Directions: Below are listed the most recent descriptions of 2013 SURE/SROP projects available in NAME. Please consider this list carefully before applying to the SURE/SROP program (http://sure.engin.umich.edu/).
You are welcome to contact faculty if you have additional, specific questions regarding these projects. After your application is received (in late January), you will be contacted and asked to list your top three projects, in order of preference. You are also welcome to list these preferences on your application, although this is by no means required.
SURE projects
NA&ME Project 1 – Numerical Modeling of Ship Motions: Work on numerical investigation of the viscous flow around a ship advancing in waves using state-of-the-art interface capturing methods. (Dr. Kevin Maki; kjmaki@umich.edu)
NA&ME Project 2 – Autonomous unmanned systems: Autonomous unmanned systems are playing an ever growing, and more crucial role in the Navy active fleet. As such, the U.S. Navy has a need to educate and hire a cross-disciplinary civilian workforce who is trained in the science and technology behind the next-generation of autonomous unmanned systems. This project is affiliated with the Naval Engineering Education Center (NEEC) and will educate and train students in the cross-disciplinary system issues in developing robust autonomy for unmanned vehicle systems.
Project areas that the students will work on are:
- Autonomous mapping and navigation
- Computer vision and multi-sensor fusion for robust intelligence
- Kalman filtering, particle filtering, and Bayesian estimation methods
(Dr. Ryan Eustice; eustice@umich.edu)
SROP projects
NA&ME Project 3 – Numerical Modeling of Ship Motions: Work on numerical investigation of the viscous flow around a ship advancing in waves using state-of-the-art interface capturing methods. (Dr. Kevin Maki; kjmaki@umich.edu)
NA&ME Project 4 – Autonomous unmanned systems: Autonomous unmanned systems are playing an ever growing, and more crucial role in the Navy active fleet. As such, the U.S. Navy has a need to educate and hire a cross-disciplinary civilian workforce who is trained in the science and technology behind the next-generation of autonomous unmanned systems. This project is affiliated with the Naval Engineering Education Center (NEEC) and will educate and train students in the cross-disciplinary system issues in developing robust autonomy for unmanned vehicle systems.
Project areas that the students will work on are:
- Autonomous mapping and navigation
- Computer vision and multi-sensor fusion for robust intelligence
- Kalman filtering, particle filtering, and Bayesian estimation methods
(Dr. Ryan Eustice; eustice@umich.edu)
Please check this website periodically for updates.