Dr. Zhang is recognized from her students for her execellence in teaching and educational impact (Link).
” While I have received several awards in the past, this recognition from my students is the most heartwarming. I will continue to bring enthusiasm to the course material, my passion for teaching, and my care and support for students. I feel incredibly fortunate to work with such talented students. “
🎉 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!
🎉 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:
✅ Anomaly detection and localization
✅ Measurement selection for robots
✅ 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 and Happy Holidays from iFAN Lab!
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.
