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Academic Achievements
Paper “Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities” accepted to CVAMD Workshop at ICCV 2025 (July 2025)
Paper “Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models” accepted to TrustNLP Workshop at NAACL 2025 (March 2025)
Paper “Information Leakage Measures for Imperfect Statistical Information: Application to Non-Bayesian Framework” accepted in IEEE Transactions on Information Forensics and Security (Dec 2024)
Paper “Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations” accepted at 2024 IEEE International Conference on Big Data (Oct 2024)
Awarded Ruth S. Holmberg Grant for project “Empowering the Next Generation of AI Security Leaders through Hands-on Research, Outreach, and Scalable Educational Models” (May 2025)