Summer Undergraduate Research Experience (SURE) 2022
Photo: Students participating in Dr. Doina Bein's SURE pose for a group picture during oral presentations.
about sure '22
Every Summer ASSURE-US hosts SURE for participating ASSURE-US students. Selected students have the option to work with participating Engineering and Computer Science faculty on a research project organized by faculty members.
SURE is open to eligible Freshman, Sophomore, and Junior students. Accepted students are paid an hourly wage of $16.00 for their participation. Students work on research for five weeks beginning May 31, 2022, and ending on August 1, 2022 or six weeks beginning May 23, 2022, and ending on August 1, 2022.
Deadlines
- Application opens Thursday, April 28, 2022
- Application closes Sunday, May 7, 2022
Compensation
- Duration of the SRE program: 5 weeks ( May 31 – July 1, 2022 ) or 6 weeks (May 23 - July 1)
- Students will commit a maximum of 10 hours per week
- Hourly wage is $16.00 USD
- Students who complete both the pre and post-survey and submit a final report or a poster can submit additional 6 hours in the last week
Student Project Showcase
Dr. Doina Bein
Friday, July 1, 2022 at 11 AM PST
| Student(s) | Research Topic |
|---|---|
|
Chalmers Tse Harshal Jain |
Title: Data Science Analysis on Student Adaptability Level in Online Education Topic: Data Science |
|
Jose Tapia |
Title: Data Generation and Analysis for League of Legends: Wild Rift Topic: Computer vision, OCR, linear regression, image classification |
|
Justin Bui |
Title: Data Science Analysis on Brain Tumor MRI Topic: Classification |
|
Khang Ta |
Title: Identify the possibility of Pairs Trading Topic: Pairs Trading |
|
Sandra Nguyen |
Title: Data Science Analysis and Prediction on Real/Fake Job Postings Topic: Data Science
|
|
Alan Campos |
Title of work: Twitter Sentiment Analysis Topic: Classification |
|
Oscar Sosa Cordova |
Title: Analysis of Student Engagement here at CSUF Topic: Data Science |
|
Trung Nguyen |
Title: Using Machine Learning to Identify Magic Card Topic: Data Science |
|
Ryan Nourbakhsh |
Title: Either NBA most valuable player predictor or Football premier league match predictor Topic: Data Science |
|
Daniel Truong |
Title: Spotify Songs Analysis & Song Recommendation System Topic: K-means clustering, content-based filtering |
Participating Faculty
Dr. Yu Bai
Associate Professor Computer Engineering
ybai@fullerton.edu
Dr. Doina Bein
Associate Professor Computer Science
Dr. Jaya Dofe
Associate Professor Computer Engineering
Dr. Pratanu Ghosh
Professor Civil and Environmental Engineering
Dr. Paul Inventado
Assistant Professor Computer Science
Dr. Sagil James
Associate Professor Mechanical Engineering
Dr. Shawn Wang
Professor Computer Science
