Sixth Annual Computer Science Conference for CSU Undergraduates
Held Virtually on April 25, 2026
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 2026, you must register beforehand. Link coming soon.
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
The regular presenation sessions will be split into two tracks (Track A and Track B). More information on how to access each track will be available at time of registration.
Date: Saturday April 26, 2026
9:00 AM Zoom Session Opens
9:10 AM Opening Remarks (All Tracks)
9:20 AM - 9:50 AM Keynote Speaker (All Tracks)
10 minute break
10:00 AM - 11:00 PM Session 1 (Track A) - Computer Vision and Representation Learning
- 10:00 AM: Vision-Based Distracted Driving Detection: A Comparative Analysis of Deep Learning Object Detection Architectures. Kien Pham and Amir Ghasemkhani (California State University, Long Beach).
- 10:15 AM: GeckoWars: A Comparative Study of Preprocessing Techniques for Low-Light Gecko Detection. Jonathan Baca, Lance Jimenez, Gus Axelson,Xiomara Gamez, Jaydeep Athwal, George Danielyan, Katya Mkrtchyan, and Alex Modarresi (California State University, Northridge).
- 10:30 AM: Transfer Learning for Parking Occupancy Detection: An Analysis with Limited Data. Han Htoo Zin and Xin Qin (California State University, Long Beach).
- 10:45 AM: Convolutional Neural Networks using Greedy and Decoupled Filter Learning via Clustering. Albert Furtado and Hubert Cecotti (California State University, Fresno).
10:00 AM - 11:00 PM Session 1 (Track B) Security, Privacy and Cryptographic Systems
- 10:00 AM: (Best paper nominee) Trick: Adapting the Signal Protocol for Serverless Peer-to-Peer Communication over Wi-Fi Aware. Yi Hao Li, Darren Shen, and Benjamin Reed (San José State University).
- 10:15 AM:Private Set Matching for Anonymous Network Data Requests. Abhishek Prabhu and Benjamin Reed (San José State University).
- 10:30 AM: Implementation-Agnostic Trojan Horse Compiler and Linker. Ben Garvin, Eugene Petrov, Bruce DeBruhl, and Stephen Beard (California Polytechnic State University, San Luis Obispo).
- 10:45 AM: Predicting Linux Kernel Vulnerabilities Using Simple Metrics. Javier Dorantes Alonzo, Suzanne Rivoire, and Paul Gazzillo (Sonoma State University; Sonoma State University; University of Central Florida).
10 minute break
11:10 AM - 12:10 PM Session 2 (Track A) Autonomous Systems and Robotics
- 11:10 AM: (Best paper nominee) Inferring Latent Intent with Semantic-Grounded Decision Transformers for Trajectory Generation. Christopher Anderson and Xin Zhang (San Diego State University).
- 11:25 AM: Enhancing Real-Time Performance in Resource-Constrained Autonomous Racing Vehicle through Task Offloading. Pascal Reich and Hyunjong Choi (San Diego State University).
- 11:40 AM: (Best paper nominee) On the Numerical Analysis of Multi-Robot Search and Rescue Algorithms in Unknown Environments. Fozhan Babaeiyan Ghamsari and Oscar Morales-Ponce (California State University, Long Beach).
- 11:55 AM: DroneHub: An Integrated Drone Fleet Management System for Public Safety Operations. Oleksandr Gorpynich, Stephen R. Beard, and Bret Hartman (California Polytechnic State University, San Luis Obispo).
11:10 AM - 12:10 PM Session 2 (Track B) Algorithms, Graphs and Optimization
- 11:10 AM: On the Periodicity of k-Distance Graphs. David Lund, Oleksiy Al-Saadi, and Gregory Demo (Sonoma State University; California State University, Chico; Sonoma State University).
- 11:25 AM: Speeding up Greedy Approximation Algorithms in Sparse Random Graphs Empirically via Global-Local Equivalence. Sue Sue, Luke Fanguna, and Daniel Frishberg (California Polytechnic State University, San Luis Obispo).
- 11:40 AM: Budget-Constrained Covering Salesman Problem: A Neural Combinatorial Optimization Approach. Christopher Beauchamp and Bin Tang (California State University, Dominguez Hills).
- 11:55 AM: Trust-Aware Task Allocation with QUBO Optimization in Adversarial Multi-Agent Systems. Duy Ho, Giselle Roman, and Yugyung Lee (California State University, Fullerton; California State University, Fullerton; University of Missouri-Kansas City).
50 minute break
1:00 PM - 2:00 PM: Session 3 (Track A) Health, Bio and Human Sensing
- 1:00 PM: (Best paper nominee) Measuring and Understanding Hand Temperature Reactions to Cold Exposure. Miranda Becker, Devansh Trivedi, Sawyer Jones, Ben Shen, Shangping Ren, Ayush Kalia, and Monique Hinchcliff (San Diego State University; San Diego State University; San Diego State University; San Diego State University; San Diego State University; Yale University; Yale University).
- 1:15 PM: ICU Mortality Risk Prediction using Multimodal Transformer Models. Gagan Sai Kamasani Venkatareddy, Escano Catalina Maria, Kwan Kin Chung, and Bang Tran (California State University, Sacramento).
- 1:30 PM: Spatial Data Augmentation for Single-Trial Detection of Event-Related Potentials Using Deep Learning. Midhun Puthiyelath and Hubert Cecotti (California State University, Fresno).
- 1:45 PM: Optimizing Temporal Segmentation and Ensemble Learning for Generalizable Smartphone-Based Human Activity Recognition. Zach Bernales, Thi Dao Nguyen Pham, Benny Chen, Dickson Voong, Fawaaz Ahamed, and Sayma Akther (San José State University).
1:00 PM - 2:00 PM: Session 3 (Track B) Systems, HPC and Applied ML
- 1:00 PM: Blocked Tile Geometry in Blocked Matrix Multiplication with Copy optimization. Rafael Fabiani and Wes Bethel (San Francisco State University).
- 1:15 PM: Large Language Models for Anomaly Detection in IoT and System Logs: Taxonomy, Comparative Analysis, and Deployment Challenges. Avni Israni and Marjan Asadinia (California State University, Northridge; California Polytechnic State University, Humboldt).
- 1:30 PM: Detection of Self-Introductions in Legislative Testimony. Sofija Dimitrijevic and Foaad Khosmood (California Polytechnic State University, San Luis Obispo).
- 1:45 PM: Air Transportation Network Literature Review. Jean-Brandon Diei, Ernesto Lopez-Castro, Matthew Acarregui, Christopher Morales, and Theresa Migler (California Polytechnic State University, San Luis Obispo).
10 minute break
2:10 PM - 3:10 PM: Session 4 (Track A) Societal, Environmental and Educational Systems
- 2:10 PM: Woniya Wichoni: A Citizen Science Approach to Community-Based Air Quality Monitoring and Environmental Justice. Ryan Franco, Leena Shah, Alex Modaressi, and Alan Ruiz (California State University, Northridge).
- 2:25 PM: A Low-Cost Spatiotemporal Tracking System for Endangered Sea Turtles Across the San Andres Archipelago. Tyra Quiachon, Christine Nguyen, Max Woodruff, Julian Lozada, and Bella Felipe (California State University, Northridge).
- 2:40 PM: Bridging AI and Early Intervention - a Literature Survey. Wail Mohammed, Venkanta Sai Krishna Aditya Vatturi, Hongmin Li, Shubha Kashinath, and Juliann Woods (California State University, East Bay; California State University, East Bay; California State University, East Bay; California State University, East Bay; Florida State University).
- 2:55 PM: A Toolkit for Bridging Classical and Quantum Computing Concepts in Undergraduate Education. Timothy Kent, Ernesto Lopez-Castro, Christian Eckhardt, and Irene Humer (California Polytechnic State University, San Luis Obispo).
2:10 PM - 3:10 PM: Session 4 (Track B) Networking and Distributed Systems
- 2:10 PM: (Best paper nominee) Wi-Fi Direct Service Discovery for Android Applications: Implementation and Evaluation. Jialu Wang and Benjamin Reed (San José State University).
- 2:25 PM: GATNextHop: A GAT for Shortest Path Routing with Cross-Topology Generalization. Oliver Chou and Aikaterini Potika (San José State University).
- 2:40 PM: ARES: Accelerated Recommendations with Exact Similarity Searches in Collaborative Filtering. Abdulrahman Naveed and Gheorghi Guzun (San José State University).
- 2:55 PM: Evaluating Usability and Performance in a Deployed ML-Based Host IDS. Andrew Mazlumyan, Brandon Diaz, Josch Curioso, Jason Alcaraz, and Alex Modarresi (California State University, Northridge).
10 minute break
3:10 PM - 3:30 PM: Best Paper Award Announcement and Closing Remarks (All Tracks)
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
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. All camera-ready papers must follow the provided template. Submitted papers must not have been published in other conferences or journals.
Authors are required to ensure that all submissions conform to the IEEE AI Policy and associated ethical standards.
Important Dates
- Submission Deadline:
February 22, 2026 March 1, 2026
- Author Notication: March 29, 2026
- Camera Ready Paper Due: April 11, 2026
- Conference Dates: April 25, 2026
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.
Where and How to Submit
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.
Authors will need a CMT account to submit a paper.
Submission deadline extended to March 1, 2026
Submit Paper Here
HOWTO on making a CMT account
HOWTO on submitting a paper through CMT
Organization
Prior Conferences
CSCSU 2025
CSCSU 2024
CSCSU 2023
CSCSU 2022
CSCSU 2021