Student-Faculty Programs Office
Summer 2017 Announcements of Opportunity

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Project:  Deep Learning and Pattern Recognition
Disciplines:  Electrical Engineering and Computer Science, Applied Math
Mentor:  Thomas Lu, (JPL), Thomas.T.Lu@jpl.nasa.gov, Phone: (818) 354-9513
Background:  The Intelligent Sensor Processing Object Recognition & Tracking Systems (iSports) Lab in Bio-Inspired Technologies & Systems Group (349B) is conducting research in Deep Learning for automatic object recognition, image understanding and AI. The research is directly applicable to autonomous guidance of spacecraft landing/docking/rendezvous and hazardous avoidance.
Description:  We are interested in sponsoring 2 - 4 intern students for the deep learning and image analysis projects. The candidates will help to train intelligent computer programs to automatically detect, recognize, and track objects from various data sources. The autonomous target recognition (ATR) system helps the robots and autonomous vehicles to understand the environment, and perform autonomous maneuvers.
References:  T. Lu, C. L. Hughlett, H. Zhou, T-H. Chao, J. C. Hanan, Neural network post-processing of grayscale optical correlator, Proc. SPIE 5908, Optical Information Processing III, 2005.
Student Requirements:  Critical thinking, creativity, curiosity, good communication skills, C/C++, Matlab programming, Labview, Verilog and FPGA;
Courses: normal undergraduate math, electrical and computer engineering
Useful, but not required: knowledge of image processing, neural networks, computer vision.
Location / Safety:  Project building and/or room locations: . Student will need special safety training: No.
Programs:  This AO can be done under the following programs:

  Program    Available To
       SURF    both Caltech and non-Caltech students 

Click on a program name for program info and application requirements.


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Problems with or questions about submitting an AO?  Call Jen Manglos of the Student-Faculty Programs Office at (626) 395-2885.
 
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