CSCSU
A Computer Science Conference for CSU Undergraduates.
Fifth Annual Computer Science Conference for CSU Undergraduates
Held Virtually on April 26, 2025
CSCSU is an annual conference dedicated to computer science research by undergraduates at CSU campuses. Participating students will learn how a computer science conference works, network with other talented CS students from CSU campuses, and prepare for graduate school and research careers. The conference covers all areas of computer science and is structured like a mainstream CS conference, with authors of accepted papers giving oral presentations. A peer-review process is used to select papers for presentation and inclusion in conference proceedings that will be made available electronically.
Conference Registration
To attend CSCSU 2025, you must register beforehand at the following link: Registration Link
We ask that you register with a CSU-affiliated email address. If you wish to register with a non-affiliated email address, please contact the organizing committee via email.
Attendance is free.
Conference Program
Date: Saturday April 26, 2026
9:00 AM Zoom Session Opens
9:10 AM Opening Remarks
9:20 AM - 10:35 AM Session 1 (AI Algorithms)
- 9:20 AM: (Best paper nominee) An Exploration of the Metric Dimension of Random Geometric Graphs. Evan Alba, Matthew Hernandez, Richard C. Tillquist (California State University, Chico)
- 9:35 AM: Pruning Convolutional Neural Networks Using Filter Embeddings. Tamir Shem Tov (California State University, East Bay), Jesse Coulson (California State University, Chico), Hongmin Li (California State University, East Bay).
- 9:50 AM: Comparing K-Nearest Neighbor and Approximate K-Nearest Neighbor: A Performance Analysis. Ivan Gonzales, Hubert Cecotti (California State University, Fresno).
- 10:05 AM: A Comparative Study on Approaches to Denoise Hi-C Genomic Matrices. Fardin Haque, Carlos Rojas (San Jose State University).
- 10:20 AM: (Best paper nominee) Revisiting Deep Knowledge Tracing: A Comparative Analysis of RNN and Transformer Models on Interaction Encoding and Sequence Variations Arsh Parmar, Jaishnoor Kaur, Hongmin Li, Xiaojun Ruan (California State University, East Bay).
10 minute break
10:45 AM - 12:00 PM Session 2 (AI Applications)
- 10:45 AM: Object Detection in Dynamic Environments: A Case Study in Mario Kart Wii. Adrian Abraham, Xin Qin (California State University, Long Beach).
- 11:00 AM: Deep learning architectures for grape detection. Albert Furtado, Midhun Puthiyelath, Hubert Cecotti (California State University, Fresno).
- 11:15 AM: Detecting AI-generated Artwork Meien Li, Mark Stamp (San Jose State University).
- 11:30 AM: LifeTone Personalized Skin Care Analysis at your Fingertips. Johnathon Lu, Tanvi Guttula, Alvin Dang, George Dominise, Magdalini Eirinaki, (San Jose State University).
- 11:45 AM: Phishing for Answers: Evaluating the Performance of Large Language Models in Phishing URL Detection. Jaishnoor Kaur, Arsh Parmar, Hongmin L (California State University, East Bay).
45 minute break
12:45 PM - 2:00 PM: Session 3 (Potpourri - Theory, Quantum and Security)
- 12:45 PM: (Best paper nominee) Iterator-Based Parser Combinators for Ambiguous Grammars. Param Desai, Devaansh Mann, Kyle Dewey (California State University, Northridge).
- 1:00 PM: Quantum Semiprime Factorization: Leveraging Grover’s Algorithm for Efficient Prime Decomposition. Jacob Collins, Jaime Raigoza, Sam Siewert (California State University, Chico).
- 1:15 PM: Bridging the Cybersecurity Skills Gap: Evaluating the Effectiveness of Challenge-Based Learning. Liam Cristescu , Thang Bui, Sam S. Ogden (California State University, Monterey Bay).
- 1:30 PM: A Comprehensive Literature Review on Enhancing Hi-C Resolution with Deep Learning. Meghana Indukuri, Carlos Rojas (San Jose State University).
- 1:45 PM: Investigating the Effects of Quantum Error Correction on Grover’s Algorithm with Shor’s 9-qubit Code. Hannah Tiffany, Jamie Raigoza (California State University, Chico).
10 minute break
2:10 PM - 3:10 PM: Session 4 (AI for Healthcare)
- 2:10 PM: Machine Learning Methods for Prostate Cancer Prediction using Magnetic Resonance Imaging and Clinical Data. Singh Akal Ustat, Thiramdas, Baynes Anna, Bang Tran (California State University, Sacramento).
- 2:25 PM: Comparative Study of Diabetes Prediction Based on Lifestyle Factors Using Machine Learning. Bruce Nguyen, Yan Zhang (California State University, San Bernardino).
- 2:40 PM: (Best paper nominee) Experimental Study into Understanding Hand Temperature Distributions. Sawyer Jones, Ben Shen, and Shangping Ren (San Diego State University).
- 2:55 PM: Leveraging Machine Learning to Uncover Mental Health Disparities Across Urban and Rural Communities Insights from Social Determinants. Rowena Quinn, Sherrene Bogle (California State Polytechnic University, Humboldt), Marjan Asadinia (California State University, Northridge).
10 minute break
3:20 PM - 4:20 PM: Session 5 (Networks and Systems)
- 3:20 PM: JPL Interplanetary email. Adrian Flores, Antonio Ortega, Brian Contreras, Lance Batac, Ryan Torrez, Sophia Liwag, Leigh Torgeson, and Manveen Kaur (California State University, Los Angeles).
- 3:35 PM: (Best paper nominee) Energy-Efficient Data Collection in Robotic Sensor Networks. Christopher Beauchamp, Soham Patil, Bin Tang (California State University, Dominguez Hills).
- 3:50 PM: Performance Study of Upscaling Techniques for Massive Remote Sensing Data in Low Bandwidth Environments. Nicolas Escobedo, Jason Phan, Kalin Zaluzec, John Korah (California State Polytechnic University Pomona).
- 4:05 PM: Woophe: Integrating Citizen Science and Indigenous Knowledge in a Mobile App for Community Empowerment at Standing Rock. Vaishnavi Sen, Nicholas Rodriguez Weda, Martin Dela Cruz, Keaton Maki, Samuel Guinto, Yash Desai, Teo Dominguez, Pragya Sangwan, Alex Modarresi, Nhut Ho (California State University, Northridge)
4:20 PM - 4:30 PM: Best Paper Awards Announcement and Closing Remarks
Call for Papers
Submissions are welcomed in all areas of computer science. To encourage participation, papers of any of the following types can be submitted:
- Traditional technical papers
- Extensive experimentation with existing tools and techniques
- Reimplementation of an existing tool or technique, with new insights and lessons learned
- Literature surveys, ideally targeted to newcomers to an area
- Tutorials
- Instructional pearls
The paper type must be identified when a paper is submitted. Each paper will be reviewed using the criteria associated with its type. More information about the paper types can be found here, including example papers and acceptance criteria for each type.
Papers must be written under the guidance of a CSU faculty co-author. The first author of every submitted paper must be a CSU undergraduate at the time the work was completed.
No faculty member can appear as a co-author on more than 3 submissions.
For an accepted paper to be included in the proceedings, one of the CSU undergraduate student authors must commit to presenting their work at the conference. Submitted papers must not have been published in other conferences or journals.
Important Dates
- Submission Deadline:
February 23, 2025March 2, 2025 - Conference Dates: April 26, 2025
Submission Guidelines
Submissions must be no more than 5 pages, including all figures, tables, and references. LaTeX is strongly recommended for paper preparation, but Word can also be used. Please use the LaTeX or Word templates . More information on the use of the templates can be found on the paper submission page for the Computing in Cardiology conference.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.