Hi, I am Diyu Zhou

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.

Education

Sep. 2024 – Jun. 2026

Cornell University

Master of Science, Design Technology

Related Courses: Physical Interaction, Python Coding, Design Thinking, Parametric Design, Additive and Subtractive Manufacturing

Sep. 2020 – Jun. 2024

Central China Normal University

Bachelor of Art, Digital Media Design

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

Research Experience & Relevant Projects

Aug. 2024 - Present

Cornell University (Design Augmented Intelligence Laboratory, DAIL Lab)


Advisor: Prof. Saleh Kalantari

Research Assistant

• 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

Research Assistant

• 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

Research Assistant

• 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

Research Assistant

• 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

Research Assistant

• 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.

Publications

[1].  Guo, Y., and Zhou, D. "The Application of Gestalt Psychology's Principles of Visual Perception in Subway Spatial Visual Orientation." Da Zhong Wen Yi, vol. 8, 2023.
[2].  Zhang, H., and Zhou, D. "Effects of Daylight Intensity on Emotion Regulation in a Virtual Healing Space." Human Factors in Design, Engineering, and Computing, vol. 159, 2024, pp. 1178–1186.
[3].  Li, Y., Ma, Z., Han, X., Zhou, D., & Wang, Z. (Under Review). A Multi-Objective Optimization Method for UI Interfaces Integrating NSGA-II and Simulated Annealing. Scientific Reports. (Under second-round review)

Professional Experience

Wuhan Senling Medical Co., Ltd.

Product Design

• 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.

Skills

Model Design: 3DMax, Maya, C4D, Rhino7/8, Grasshopper, SU, ZBrush, 3D Printing
Interaction Design: Arduino, Unity, Python, UE4/5, C++, C#, Processing
Languages: Mandarin (Native), English (Fluent)