Industrial Anomaly Detection
Mar 1, 2020
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1 min read
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Investigated GAN‑style reconstruction methods to spot defects in cyber‑physical systems at KU‑CPS.
Highlights
- Trained VAE‑GAN on sensor fusion data (vision + IoT)
- Findings fed into safety guidelines for critical plants
Authors
Ph.D. AI Researcher | XR Simulation | Explainable AI | Anomaly Detection
I am an AI researcher with a Ph.D. in Computer Science at KAIST, specializing in Generative AI for XR simulations and anomaly detection in safety-critical systems.
My work focuses on Explainable AI (XAI) to enhance transparency and reliability across smart infrastructure, security, and education.
By building multimodal learning approaches and advanced simulation environments, I aim to improve operational safety, immersive training, and scalable content creation.
My work focuses on Explainable AI (XAI) to enhance transparency and reliability across smart infrastructure, security, and education.
By building multimodal learning approaches and advanced simulation environments, I aim to improve operational safety, immersive training, and scalable content creation.