🎉 Closing out an incredible year with exciting news: our paper titled “Enhanced Virtual Reality Platform for Training in Nuclear Power Plants ” received the Best Paper Award at the ISOFIC Conference! A huge shoutout to amazing student authors Youndo, Cheng-Yuan, and Aryan who played a pivotal role in this achievement
🏆 We’re thrilled that our innovative work in AR/VR training and leveraging LLMs has been recognized.
If you’re interested in trying it out, learning more, or sharing your experience and feedback, we’d love to connect!
Author: Youndo
Sungmin Passed His Dissertation Proposal Defense!
🎉 Huge congratulations to Sungmin on this incredible milestone and achievement! 🎉
His dissertation research tackles machine learning techniques for enhanced diagnosis of nuclear power plants using mobile robots. Key topics include:
âś… Anomaly detection and localization
âś… Measurement selection for robots
âś… Asynchronous data processing
This work aims to shift the paradigm of online monitoring for industrial facilities by incorporating not only continuously streamed signals from fixed sensors but also adaptive data acquisition through mobile inspection robots.
Happy Thanksgiving from iFAN Lab!
Happy Thanksgiving and Happy Holidays from iFAN Lab!
Showcasing Innovative Digital Twin Research at the ANS Winter Meeting
Youndo attended the ANS Winter Meeting, a prestigious conference that brings together experts from industry and academia to exchange ideas and showcase their work. During the event, Youndo presented two projects from our lab: Radiation Simulation and Visualization in Nuclear Power Plant Digital Twins and Framework for Human-Robot Collaboration Using Digital Twins.
Both presentations gained significant interest from attendees, highlighting the relevance and impact of our research. This conference provided an excellent opportunity to share our lab’s achievements with a broader audience, gain insights from other cutting-edge projects, and explore potential collaborations for future advancements.
Dr. Zhang Named Class of 1969 Teaching Fellow
Dr. Zhang has been named a Class of 1969 Teaching Fellow by the Center for Teaching and Learning at Georgia Tech. The fellowship recognizes her commitment to innovative, evidence-based teaching practices. Dr. Zhang will have the opportunity to earn a “Reflective Teacher” badge by applying evidence-based teaching practices and submitting documentation and reflections. Additionally, she will receive $1000 in funding to support the development of a small project or to acquire other teaching-related resources. Congratulation, Dr. Zhang!
Further Detail: Link