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Announcements of Opportunity

SURF: Announcements of Opportunity

Below are Announcements of Opportunity posted by Caltech faculty and JPL technical staff for the SURF program.

Each AO indicates whether or not it is open to non-Caltech students. If an AO is NOT open to non-Caltech students, please DO NOT contact the mentor.

Announcements of Opportunity are posted as they are received. Please check back regularly for new AO submissions! Remember: This is just one way that you can go about identifying a suitable project and/or mentor. Click here for more tips on finding a mentor.

Announcements for external summer programs are listed here.

New for 2021: Students applying for JPL projects should complete a SURF@JPL application instead of a "regular" SURF application.

Students pursuing opportunities at JPL must be
U.S. citizens or U.S. permanent residents.

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Project:  AI Assistant for Driver Safety
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 AI and Deep Learning for automatic object recognition, speech recognition, image understanding and Artificial Intelligence for assisting first responders to avoid accidents. The research is applicable to the assistance of astronauts and autonomous guidance of spacecraft landing/docking/rendezvous and hazard avoidance.
Description:  We are interested in sponsoring 8 intern students for the deep learning and AI projects. The candidates will help to train intelligent computer programs to automatically detect, recognize, and track objects from various data sources. The AI system helps the robots and autonomous vehicles to understand the environment, and perform autonomous maneuvers.
References:  Lu, T., Huyen, A., Payumo, K., Chow, E., Torres, G., Deep neural network for precision multi-band infrared image segmentation, (Invited Paper), SPIE Conference on Pattern Recognition and Tracking XXVIII, Proc. Vol. 10649, No. 3, 2018.
Student Requirements:  Critical thinking, creativity, curiosity, strong interests in AI and deep learning, good communication skills, C/C++, Python, TensorFlow, Torch, Caffe, etc.;
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: .
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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