معرفی
Sanghyun Hong is an Assistant Professor at Oregon State University's School of Electrical Engineering and Computer Science, focusing on Trustworthy AI and Cybersecurity. He holds a Ph.D. in Computer Science from the University of Maryland, College Park (2021) and a B.S. in Electrical Engineering and Computer Science from Seoul National University (2015). His research bridges machine learning, security, and privacy-preserving systems.
- Current research themes:
- Robustness of AI systems to adversarial attacks
- Privacy-preserving machine learning
- Security of pre-trained and large language models
- Hardware fault vulnerabilities in neural networks
- Cybersecurity workforce development
Publication Trends (15 most recent):
- Focus on adversarial machine learning (jailbreaking LLMs, membership inference)
- Advances in physics-informed neural networks and time series forecasting
- Key contributions to AI security and malware detection
- Interdisciplinary work in visualization design and tsunami warning systems
Scientific Accolades:
- Google Faculty Research Award (2023)
- Samsung Global Research Award (2022, 2023, 2024)
- DARPA Riser (2022)
- NSF SFS Award (co-PI, 2023)
- USENIX Enigma Speaker (2021)
Academic Leadership: Mentors 5 Ph.D. students and has graduated 8 M.S. and B.S. students. Currently developing next-generation auditing frameworks for AI systems while on medical leave until Winter 2026.
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