• Explore novel selection techniques that progressively refine the set of selectable objects in virtual reality.

• Implement raycast-based selection with a 2D grid arrangement of object proxies and a world miniature showing relative position for effective object selection in dense VR environments.

Teaching assistant for INFO 4320/5321 (Introduction to Rapid Prototyping and Physical Computing)

• Answered student questions about Arduino, laser cutting and 3d-printing and give constructive feedback to their projects

• Conducted 15-minute laser cutting training sessions for 6 student groups of 3-4

• Designed and 3D-printed form factor hardware that attached a microphone, a speaker and a microcontroller (Teensy 4.1) to an off-the-shelf glass-frame and a Quest 2 VR headset, tracking activities inside the oral cavity via acoustic sensing without contact.

• Enhanced the data collection script in Python by implementing video embedment, text animations, and enabling user studies in VR.

• Evaluated performance via a user study with 11 participants and achieved 93.7% accuracy in using a ResNet18 CNN model to classify 16 gestures of silent speech, breathing patterns and tongue movements.

• Summarized research findings in a 4-page paper as the first author and delivered a conference talk at UbiComp/ISWC 2023.

• Built a Unity project in VR using HTC Vive Pro that recorded eye gaze data and converted it into a real-time heatmap.

• Customized a shader using Unity's universal render pipeline to display heatmaps on 3D objects with non-overlapping UV maps.

• Engineered a CSV-based gaze data export and heatmap reconstruction system, enhancing user activity analysis and project versatility.