XR Counter-Terrorism Simulation
Apr 1, 2021
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1 min read
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Built an immersive XR drill that converts police manuals into dynamic training scenarios and scores trainee responses in real time.
Highlights
- Scene graphs auto‑generated from 300 + SOP pages
- Auto-generated agents drive hostile NPC behaviour
- Unity + OpenXR; supports VR, AR and CAVE setups
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.