Email: dz372@cornell.edu | Phone: +1-607-279-8371
A design technology researcher and practitioner with expertise in XR development, motion capture systems, and human-computer interaction. Currently pursuing a Master's degree in Design Technology at Cornell University with a focus on developing immersive environments and intelligent interaction systems for healthcare and education.
Sep. 2024 – Jun. 2026
Cornell University
Related Courses: Physical Interaction, Python Coding, Design Thinking, Parametric Design, Additive and Subtractive Manufacturing
Sep. 2020 – Jun. 2024
Central China Normal University
Honors: Outstanding Student (2021-2023), Dangui Scholarships (2021-2023), Outstanding Graduate, Outstanding Graduate, Wuhan University of Technology (2024)
Related Courses: New Media, Interactive Design, Art Coding and Game Engine, Digital Imaging
Aug. 2024 - Present
Cornell University (Design Augmented Intelligence Laboratory, DAIL Lab)
Advisor: Prof. Saleh Kalantari
• Developed multiple VR agents in Unreal Engine 5, integrating GPT-based language models and natural language recognition systems for adaptive conversational interaction in virtual environments.
• Designed intelligent interaction logic supporting both proactive and reactive communication, enabling agents to assist users in wayfinding and task completion through natural cues.
• Conducted several pilot studies to evaluate usability and interaction fluency, optimizing IK motion, agent triggers, and dialogue modes based on user feedback.
• Recorded and analyzed user movement, hand gestures, and interaction data to assess agent performance and improve natural, user-centered virtual experiences.
Mar. 2025 - Present
Cornell University (Design Augmented Intelligence Laboratory, DAIL Lab)
Advisor: Prof. Saleh Kalantari
• Developed an IMU-based motion capture system for real-time tracking of human movement and collection of range of motion (ROM) data from rehabilitation patients.
• Integrated motion data with conventional rehabilitation exercises to support early-stage functional recovery after surgery and enhance training precision.
• Implemented multi-view visualization and immersive VR game mechanisms to improve patients' proprioception, motivation, and engagement during rehabilitation.
• Collaborated with rehabilitation medicine specialists and human-centered design experts through multiple interviews, refining interaction design and system usability based on expert feedback.
Aug. 2025 - Present
Huazhong University of Science and Technology & Wuhan University of Technology
Advisor: Dr. Yuxuan Li
• Assisted in developing an AR-based knee arthroscopy training system using Unreal Engine 5 and Meta Quest 3 to support simulation-based surgical education.
• Designed dual XR guidance modes, including in-situ and ex-situ visual cues, to assist trainees in identifying and practicing accurate puncture points during arthroscopic procedures.
• Implemented a data acquisition module to record puncture trajectories and hand movement patterns for evaluating the usability and efficiency of different guidance strategies.
• Collaborated with surgical experts to refine system interaction design, aiming to enhance the realism and pedagogical value of preoperative training.
June 2024 - June 2025
University of Hong Kong & Wuhan University of Technology
Advisor: Dr. Yuxuan Li
• Contributed to the development of an ACL surgical navigation system integrating optical tracking data for spatial localization and coordinate transformation.
• Deployed the system on the HoloLens platform using Unity streaming to provide a mixed-reality training environment for orthopedic procedures.
• Integrated visual, haptic, and auditory feedback channels to create a multimodal navigation interface that reduces cognitive load during bone drilling tasks.
• Evaluated system performance through comparative studies, demonstrating superior accuracy and stability over conventional image-guided navigation systems.
Mar. 2024 - June 2024
Central China Normal University
Advisor: Prof. Han Zhang
• Co-designed a virtual psychological healing environment using Unreal Engine 4 to examine how daylight intensity influences emotional regulation.
• Developed four immersive natural scenes—water and sky, woodland and sky, grassland and sky, and balanced elemental environments—each paired with customized Lofi music.
• Implemented a dynamic lighting system simulating real-time transitions across morning, noon, dusk, and night to enable precise light condition manipulation in VR.
• Conducted semi-structured interviews with thirty participants, revealing that variations in light intensity significantly influenced emotional responses and perceived relaxation.
Wuhan Senling Medical Co., Ltd.
• Conducted user research and market analysis to define target personas and guide the design direction of multiple medical products.
• Collaborated with cross-functional teams to develop innovative, user-friendly medical solutions that align with clinical needs and regulatory standards.
• Designed intuitive product interfaces and streamlined design workflows to enhance usability, compliance, and development efficiency.