Recent Updates
2025
The paper titled " A Feature-based Linguistic and Statistical Framework for AI-Generated Text Detection" by Vaishnavi Sen and Rashida Hasan has been accepted for presentation at ICMLA 2025, to be held at Boca Raton, Florida (25% Acceptance rate)
The paper titled "An Autoencoder-based Feature Selection with Optimized Reconstruction Loss and Feature Scoring" by Monitha Davuluri, Manish Vikrama, and Rashida Hasan for presentation at ICMLA 2025, to be held at Boca Raton, Florida (25% Acceptance rate)
The paper titled "SpiCAE: Spiking Contrastive Learning and Autoencoder for Network Intrusion Detection’, by Elijah Sagaran, Jacob Spier, and Rashida Hasan has been accepted for physical presentation at IEEE IEMCON 2025, to be held at the University of California, Berkeley, USA.
The paper titled "An Adaptive and Unsupervised Graph-based Approach for Fake News Detection" by Manish Kumar Vikrama, Monitha Davuluri, and Rashida Hasan has been accepted at the IEEE COINS 2025 conference to be held at UW Madison, Wisconsin (IEEE COINS)
We are excited to announce that Dr. Hasan has been selected as an awardee of the 2025 Summer Grant Program by Research and Sponsored Programs (RSP)
Congratulations to Dr. Hasan on receiving the 2025-2026 Research, Scholarship, and Creative Activities (RSCA) Award at CSUN for the project "AI vs AI in the Battle Against Deepfakes: Building Robust Deepfake Detection Systems
Congratulations to the lab member Vaishnavi Sen, and her team for being selected to represent CSUN at the Statewide CSU Research Competition!
Congratulations to our lab member Srushti Patel, on being awarded the CSUN STAR Travel Grant
Monitha Davuluri, Manish Kumara Vikram, Srushti Patel, and Brian Bales have successfully passed their Master's defense, marking a major milestone in their academic journey.
Congratulations to our lab member Srushti Patel, on being awarded the CSUN Graduate Conference Travel Grant
Lab member Monitha Davuluri won First Place at the CSUN Symposium 2025 for her outstanding research presentation.
The paper titled "Bagging or Boosting? Anomalous Transaction Identification in Financial Systems" by Srushti Patel, Ruobin Qi, and Rashida Hasan has been accepted at the IEEE World AIIoT Congress 2025 conference (AIIoT 2025).
Dr. Rashida Hasan has been awarded the Best Presenter Award in the Artificial Intelligence and Machine Learning track at the 2025 IEEE Computing and Communication Workshop and Conference (CCWC) for her presentation on "GA-SFS: A Two-Stage Hybrid Algorithm for Feature Selection in Biomedical Data.
2024
The paper titled "aSFD: An Autoencoder-based Streaming Fraud Detection in Supervised Learning", by Luis Olmos and Dr. Rashida Hasan has been accepted at the 22nd International Conference on Information Technology: New Generations (ITNG 2025).
The paper titled "Anomaly on the Fly: Streaming Anomaly Detection in Supervised Learning", by Twishi Saran and Dr. Rashida Hasan has been accepted at the 22nd International Conference on Information Technology: New Generations (ITNG 2025).
The paper titled “GA-SFS: A Two-Stage Hybrid Algorithm for Feature Selection in Biomedical Data” by Brian Bales, Monitha Davuluri, and Dr. Rashida Hasan has been accepted at the 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC 2025).
The paper titled “An LSTM-GARCH Network for Stock Market Volatility Prediction” by Nithyasai Siddiraju and Dr. Rashida Hasan has been accepted at the 2025 IEEE 15th Annual Computing and Communication Workshop and Conference(CCWC 2025).
Congratulations to Dr. Hasan and Luis Olmos on their research proposal, "Detecting the Unexpected: Anomaly Detection in Streaming Environments," being accepted for a mini-grant through the GE Honors Research Fellow Program at CSUN.
Graduate Student Monitha Davuluri Receives Master's Thesis Support Fund from CSUN's Office of Graduate Studies.
Dr. Hasan's research proposal with her student, Nicholas Rodriguez, titled "Deep-Feature Extraction Approach for Diabetic Retinopathy Detection in Retinal Images," has been accepted for a mini-grant through the GE Honors Research Fellow Program at CSUN.
Our lab member Luis Olmos presented his research "An Autoencoder-Based Streaming Fraud Detection in Supervised Learning" at the LSAMP Symposium 2024.
Dr. Rashida Hasan’s proposal, “Towards Secure Healthcare IoT Networks: Anomaly Detection Framework for Safeguarding Medical Devices and Patient Information,” has been selected for a mini-grant from the Secure for Student Success (SFS^2) initiative, funded by the U.S. Department of Education.
Dr. Rashida Hasan Delivers an Invited Talk on the Transformative Impact of Generative AI at the CSUN Honors Interdisciplinary Lecture Series.
Congratulations to Dr. Hasan and her undergraduate student Luis Olmos for the CSUN-LSAMP Summer Research fund.
Congratulations to Twishi Saran, Nithyasai Siddiraju, Nevil Vijaybhai, and Chappiddi Harish on completing their Master's Degree in Computer Science.
Dr. Hasan attended the "38th ACM/SIGAPP Symposium on Applied Computing" conference from April 8th to April 12th.
2023
Congratulations to our lab member Twishi Saran. She will be joining LinkedIn as a Data Scientist!!
Dr. Hasan attended the Grace Hopper Conference as a "Faculty Scholar" from Sept 26th to Sept 29th.
Congratulations to Dr. Hasan and Dr. Henry Chu for their paper "A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning" acceptance on "The 38th ACM/SIGAPP Symposium on Applied Computing".
Aug 2023: I joined as an Assistant Professor at the Department of Computer Science, at the California State University, Northridge.
June 2023: Got selected as a "GHC Faculty Scholar" at the Grace Hopper Celebration of Women in Computing
May 2023: I graduated from the University of Louisiana at Lafayette with a Ph.D. in Computer Science
April 2023: I was honored as "Goodwill Ambassador of Lafayette" by Lafayette Mayor Mr. Josh Guillory
April 2023: I was awarded the Academic Excellence Award (back to back 5 years) by the University of Louisiana at Lafayette
March 2023: I defended my Ph.D.
Feb 2023: Got award for "Special Recognition in Graduate Studies" at the University of Louisiana at Lafayette
Jan 2023: Runners up in the "3 Minute Thesis Competition".