George Wang
About Me

I am a PhD student in Technology, AI and Society at Stony Brook University, within the College of Engineering and Applied Sciences, advised by Ben Zhang. Before this, I completed my MA at NYU, graduating with the Steinhardt departmental Award for Outstanding Scholarship.

I study human-centered and responsible AI at the intersection of human–computer interaction and multimodal systems. My research spans accessibility, spatial computing, and learning technologies, and I enjoy building and evaluating interactive systems with quantitative and qualitative methods.

Research keywords

Human–Computer Interaction, Multimodal AI, Accessibility, Spatial Computing, Responsible AI, Learning Technologies.

News
2026
Started my PhD in Technology, AI and Society at Stony Brook University.
Aug 2026
Feelium accepted to ACM UIST 2026 (poster).
Aug 2026
DuoZone accepted to IEEE TVCG.
Aug 2026
CHORUS accepted to ACM ICMI 2026 as a long paper.
Jul 2026
Graduated from NYU with the Steinhardt departmental Award for Outstanding Scholarship.
May 2026
Admitted to the PhD program at Stony Brook University.
Apr 2026
2025
Home environment and students creative thinking paper accepted to AERA 2026.
Nov 2025
DuoZone submitted to IMWUT 2025 for review.
Oct 2025
MAATS entered second round review at AAAI 2026.
Oct 2025
Invited talk at NYU on NotebookLM for literature review workflows.
Oct 2025
Started thesis on VR support for blind and low vision indoor navigation.
Sep 2025
Joined the Visualization Imaging and Data Analysis Center as an AR VR research assistant.
Jul 2025
Joined the Educational Communication Technology group at NYU as a qualitative research assistant.
Jun 2025
Joined the NYU Silver School of Social Work as a graduate research assistant on aging and financial exploitation.
Apr 2025
2024
Led a workshop series at NYU Bobst Library on responsible technology, accountability, and privacy.
Feb 2024
Started MA studies in Learning Science and Experience Design at NYU.
Aug 2024
2023
Roundtable talk at CUHK on AI as a learning partner for text, vision, and data.
Jan 2023
Workshop at CUHK on generative platforms for presentations.
Dec 2023
Research Highlights
* Equal contribution, † corresponding author