Summer Undergraduate Research Experience (SURE) 2022

group photo on zoom

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. 


  • Application opens Thursday, April 28, 2022
  • Application closes Sunday, May 7, 2022


  • 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

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