2024 – 2025

Artificial Intelligence
Toward Out-of-Distribution Aware Time Series Data Mining
Yifeng Gao, University of Texas Rio Grande Valley
Yao Qin, University of California, Santa Barbara
 
Building a Trustworthy Deep Learning Model for Urban-Scene Image Segmentation: Robustness and Uncertainty Analysis
Meng Xu, Kean University
Yuyin Zhou, University of California, Santa Cruz

 
Responsible Artificial Intelligence
Enhancing Moral Decision-Making in Large Language Models
Heena Rathore, Texas State University
Sahar Hooshmand, California State University- Dominguez Hills

Mitigating Bias in Class-Imbalanced Image Synthesis Models
Meng Tang, University of California, Merced
Gongbo Liang, Texas A&M University, San Antonio

Responsible Design and Development of a Validated AI Video Description Rater
Ilmi Yoon, San Francisco State University
Vassilis Athitsos, University of Texas at Arlington

Mitigating Socio-Economic Data Bias in Central Valley Air Quality Mapping with Community Agriculture Data
Shijia Pan, University of California, Merced
Kathy Kanemoto, Merced College
CAHSI-Google IRP Renewal Request: A Unified Framework of Fairness-aware Optimization through Randomization
Jing Yuan, University of North Texas
Jiayin Wang, Montclair State University

Cybersecurity & Privacy
 
Towards the Safety and Security Gap of Integrating LLMs into Software
Bohzen Liu, Texas A&M University- Corpus Christi
Young Lee, Texas A&M University- San Antonio

Protect On-Device AI Security with Multi-Enclave Architecture and Autoencoder Yongzhi Wang, Texas A&M University- Corpus Christi
Avdesh Mishra, Texas A&M University- Kingsville

Toward Automatic and Sound Memory Safety Bug Repair
Xiaoguang Wang, University of Illinois Chicago
Zechun Cao, Texas A&M University, San Antonio

Cloudsweeper: Leveraging Language Models to Personalize Sensitive Archive Search
Chris Kanich, University of Illinois Chicago
Magdalini Eirinaki, San Jose State University

Towards Safer Model Ecosystem
Hyeran Jeon, University of California, Merced
Moayed Daneshyari, California State University, East Bay

Finding and Fixing Security Misconfigurations through DevOps-Aware Testing and Verification
Paul Gazzillo, University of Central Florida
Suzanne Rivoire, Sonoma State University

CAHSI-GOOGLE IRP RENEWAL REQUEST: Fuzzing the Physical World to Identify Environmental Threats to AI-Based Autonomous Systems
Alvaro Cardenas, University of California, Santa Cruz
Younghee Park, San Jose State University
 
Cyberphysical Systems
 
CAHSI-Google IRP Renewal Request: Establishing Trust and Resiliency in Industrial Cyber Physical Systems
Deepak Tosh, University of Texas at El Paso Paso
Christian Servin, El Paso Community College

2023 – 2024

Artificial Intelligence

Building Robust Large Language Models through Bootstrapping: Using Large Language Models to Improve Their Own Robustness
Shiyu Chang (PI), University of California, Santa Barbara
Thanos Panagopoulos (co-PI), California State University, Fresno

Optimizing Distributed Training for Large and Noisy Data
Balajee Vamnan (PI), University of Illinois, Chicago
Yulia Kumar (co-PI), Kean University

Towards Robot Understanding: Embodying Causal Graphical Models into Robotics
William Beksi (PI), The University of Texas at Arlington
Dongchul Kim (co-PI), The University of Texas Rio Grande Valley

Weakly Supervised Image Segmentation Based on Image-level Labels
Kuan Huang (PI), Kean University
Cihang Xie (co-PI), University of California, Santa Cruz

Cyber-Physical

Circles of Trust: A Voice-Based Authorization Scheme for Securing IoT Smart Homes
Carlos Rubio-Medrano (PI), Texas A&M University, Corpus Christi
Dvijesh Shastri (co-PI), University of Houston, Downtown

Establishing Trust and Resiliency in Industrial Cyber Physical Systems
Deepak Tosh (PI), The University of Texas at El Paso
Christian Servin (co-PI), El Paso Community College

Fuzzing the Physical World to Identify Environmental Threats to AI-Based Autonomous Systems
Alvaro Cardenas (PI), University of California, Santa Cruz
Younghee Park (co-PI), San Jose State University

Data Science

Efficient Algorithms for Representative Query Results
Stavros Sintos (PI), University of Illinois, Chicago
Matin Pirouz (co-PI), California State University, Fresno

SUDeC: A Scalable Framework for User-defined Spatial Clustering Queries on S2 Spherical Coordinate System
Amr Magdy (PI), University of California, Riverside
Hajar Homayouni (co-PI), San Diego State University

Responsible Artificial Intelligence

A Unified Framework of Fairness-aware Optimization through Randomization
Jing Yuan (PI), The University of North Texas
Jiayin Wang (co-PI), Montclair State University