2023 Engineering Summer Undergraduate Research Program (SURP) - Machine Learning Approach for Situation Assessment for Search And Rescue (S & R) Using Wearable Devices
The College of Engineering Summer Undergraduate Research Program (SURP) is a unique opportunity for college of engineering undergraduate students to engage in hands-on research with a faculty mentor while using critical thinking, collaborative, and entrepreneurial skills. SURP is an 8-week long program (can be non-contiguous), and students are expected to spend at least 20 hours/week working on their research projects and additional time preparing and presenting their poster for the annual SURP symposium; SURP students and their faculty mentor will agree upon a start date and timeline for their research project (with a suggested start date of June 26th, 2023). The goals of SURP are to:
- Help Cal Poly Engineering students develop professionally and enhance their portfolios for future employment.
- Give opportunities for CENG faculty (including lecturers) to advance their research/project agendas over the summer quarter.
- Build lasting student-faculty mentoring relationships
- Provide opportunities for industrial and other external sponsors to work with Cal Poly faculty and students to advance connections, gain access to Cal Poly talent and capabilities, and engage in valuable collaborative activities.
Our Summer 2023 SURP will support over 30 projects (with some projects taking 2 students) for 39 students. You can apply to up to 3 projects on MustangJobs (each project has its own job posting). You need not be in the same department as the faculty advisor to apply to a given project.
Each SURP student participant will receive a CENG Summer Research Grant of $3,500.
Please note that the grant amount is fixed, and additional funding is not available. This grant will be disbursed through the Financial Aid Office toward the end of the summer. Preference will be given to students who have not yet participated in SURP.
This Project
Project Title: Machine Learning Approach for Situation Assessment for Search And Rescue (S & R) Using Wearable Devices
Faculty Advisor: Sumona Mukhopadhyay
Faculty Email: mukhopad@calpoly.edu
Faculty Department: CSSE
Number of Students for this project: 1
Description of Research Project: This project proposes a machine learning approach for search and rescue (S & R) by extracting behavioral patterns from data collected using smartphone sensors. Building on the work done initially as a SURP 2021 project and continued through the 2021-22 academic year, the focus for this project will be on the use of computer technology for locating a missing person using machine learning/deep learning techniques for recognition. The unique physiological signals collected from smart wearable devices will be used to predict the location of the person during search and rescue. The data generated from the wearable sensor devices provide qualitative information that will be mined to extract information about the person’s behavior and situation. Sporadic activities are different from periodic activities such as walking, hiking, lying, standing and running occur less frequently. The detection of these sporadic activities are of interest during a search and rescue task which is a challenging problem. The research findings and developed techniques can be extended for other applications such as security defense, disaster rescue, health, and sleep monitoring.
HOW TO APPLY:
PLEASE SUBMIT THE FOLLOWING TWO DOCUMENTS VIA HANDSHAKE AND SEE RUBRIC BELOW FOR EVALUATION CRITERIA. YOU CAN APPLY TO UP TO THREE SURP PROJECTS, BUT CAN ONLY BE AWARDED ONE.
- Submit your resume
- Submit a cover letter that answers the following three questions:
- Describe why you are interested in this research project.
- Describe how participating in SURP and working on this research project, will help you advance your academic and professional development goals
- Describe how your past experiences have helped prepare you for your participation in SURP. This includes relevant academic, other formal, and informal preparation.
INCOMPLETE APPLICATIONS COULD DISQUALIFY YOU FROM FURTHER CONSIDERATION.
Note that applications are due April 30; selected students will be notified by no later than May 12.