Zijian "Jason" Ding, PhD
Incoming Postdoctoral Fellow
KAIST School of Computing
PhD in Human-Centered AI
University of Maryland College Park
KAIST School of Computing
PhD in Human-Centered AI
University of Maryland College Park
Incoming Postdoctoral Fellow at KAIST School of Computing, working with Prof. Joseph Seering and Prof. Juho Kim. PhD in Human-Centered AI from the University of Maryland, College Park (Jun 2026).
8+ years of research in Human-Centered AI, 5+ years in Generative Models.
20+ publications at CHI, C&C, EMNLP, CSCW, UIST, IUI.
ResearchCube: Multi-Dimensional Trade-off Exploration for Research Ideation
CareerPooler: AI-Powered Metaphorical Pool Simulation Improves Experience and Outcomes in Career Exploration
A GenAI-powered system using a pool-table metaphor to simulate career development as spatial and narrative interaction.
Towards AI as Colleagues: Multi-Agent System Improves Structured Professional Ideation
A multi-agent system that enhances structured professional ideation by enabling AI to act as collaborative colleagues.
SpatialBalancing: Designing an LLM-Powered Spatial Externalization Interface for Iterative Science Communication Writing
A co-writing tool combining spatial visualization with LLMs to balance scientific accuracy and narrative engagement in science communication.
kexue-fu
StreetDesignAI: A Multi-Persona Evaluation System for Inclusive Infrastructure Design
A multi-persona evaluation system enabling transportation designers to assess cycling infrastructure through diverse cyclist perspectives.
Toward Considerate Human-Robot Coexistence: A Dual-Space Framework of Robot Design and Human Perception in Healthcare
A dual-space framework that aligns robot design dimensions with human perception dimensions to scaffold considerate human-robot coexistence in healthcare environments.
Towards Direct Intent Manipulation: Drag-Based Research Ideation, Evaluation and Evolution
Frontend Diffusion: Empowering Self-Representation of Junior Researchers and Designers with Multi-agent System
Agentic workflows that empower junior researchers and designers to create self-representational frontends.