I completed user studies of our VR + AI firefighter training system with 18 participants from the Fairfax, Arlington, and Alexandria fire departments. Thank you to every firefighter who shared their time and expertise—your feedback will directly shape the next iteration of the system. See Ryan McGill's LinkedIn post.
Our paper, LLM-Think-Alouds: Multimodal Player Experience Analysis for VR Playtesting, was accepted to IEEE ISMAR 2026. The work uses synchronized gameplay, think-aloud speech, and tone-related cues to analyze player experience in VR playtesting.
I found my Erdős number- it is 4. I mapped the route from my work with Bo Han all the way to Paul Erdős, with Albert Einstein's two-step route alongside it for comparison.
I presented LLM-Driven VR Fire Command Training for Real-Time Emergency Response at Capital Graphics 2026, our annual local conference for DC-area graphics researchers.
I attended the M3X PI Meeting and presented my poster, Synthesizing LLMs-powered Virtual Reality Training Scenarios to Reinforce Fire Commander Training, highlighting how LLMs can support adaptive VR training scenarios for incident command practice.
I placed second in the poster competition at Mason AI Day, presenting our VR and AI–integrated firefighter training system developed in collaboration with the Fairfax Fire Department.
I presented our paper HieraVisVR: Hierarchical Visual Analytics for Motion-Centric VR Playtesting at ACM CHI 2026 in Barcelona, sharing work on visual analytics for motion-centric VR playtesting.
Our paper, HieraVisVR: Hierarchical Visual Analytics for Motion-Centric VR Playtesting, was accepted to ACM CHI 2026, and I am listed as presenting author.
I presented our VR + AI firefighter training project to the Mayor of Alexandria, the Fire Chief, and the Police Chief, discussing how AI-integrated immersive systems can strengthen firefighter commander training in high-pressure scenarios.
I presented our VR + AI firefighter training project to Thai delegates, showcasing a fire demo that simulates an incident inside the digital twin of the Fuse building.
Served as a guest lecturer for 3 lectures in CSCI 4454 - Augmented and Virtual Reality, sharing work and perspectives around immersive systems.
I presented our VR + AI firefighter training project to the Arlington County Fire Chief and Police Chief, showcasing a fire response demo inside the digital twin of the Fuse building.
George Robbins, Battalion Chief with Fairfax County Fire and Rescue—our main partner on the VR + AI firefighter training collaboration—toured our facilities, saw a demo of our progress, and we exchanged ideas on the project’s direction.
I presented on behalf of the Design Computing and eXtended Reality (DCXR) lab during the Fuse at Mason Square grand opening, highlighting immersive VR and AI-related research.
Government Technology covered George Mason research on AR/AI for firefighter training—including collaboration with Fairfax Fire and NSF-supported work—alongside the risks and promise of immersive training for public safety.
Presented current Ph.D. research at Capital Graphics 2025, sharing ongoing work in VR, AI, and user experience with the DC-area graphics community.
Highways Today highlighted George Mason University's NSF-supported research on AI-powered augmented and mixed reality firefighter training, including the use of digital twins to create safer, adaptive emergency-response scenarios.
I presented our ACM MIG 2024 poster, Predicting Users' Difficulty Perception in a VR Platformer Game, highlighting work on user difficulty perception in VR gameplay.
I served as Local Chair for ACM MIG 2024, helping support the conference at George Mason University's Mason Square campus in Arlington.
Presented current Ph.D. research at Capital Graphics 2024 as part of the regional workshop for DC-area graphics researchers.
Our IEEE VR 2024 paper, Understanding Online Education in Metaverse: Systems and User Experience Perspectives, was published.
Began my Ph.D. at George Mason University, continuing my research in VR, user experience, AI-assisted systems, and interactive analysis.
Presented master's research at Capital Graphics 2023, sharing immersive systems work with the broader graphics research community in the DC area.
Completed my master's thesis, Machine Learning Automation for Virtual Reality, focused on predictive modeling and procedural design for VR gameplay.
Presented master's research at Capital Graphics 2022, discussing current immersive systems work with graphics researchers from across the region.