Yuting Shao

PhD Student

Ph.D. student in Computer Science at Case Western Reserve University, researching Large Language Models (LLMs) and Spatial AI, with a focus on spatial reasoning, planning, and embodied intelligence.

Education

Ph.D. in Computer and Data Sciences, Case Western Reserve University, current
M.S. in Human-Computer Interaction, Rochester Institute of Technology, 2023
M.S. in Computer Science, Stevens Institute of Technology, 2020
B.S. in in Software Engineering, Dalian University of Foreign Languages, 2017

Yuting Shao is a Ph.D. student in Computer Science at Case Western Reserve University. She worked on Explainable AI (XAI) and wearable human-computer interaction (HCI) during her master’s studies. Her current research explores the integration of Large Language Models (LLMs) with spatial perception and reasoning systems for embodied AI and robotics.

My research focuses on Large Language Models (LLMs) and Spatial AI, exploring spatial reasoning, planning, multimodal understanding, and the application of LLMs in embodied and real-world interactive environments.

Current Projects

Surgical Assistance Robot

Training AI models for surgical-assistance robots to recognize, classify, and organize surgical instruments after procedures using spatial perception, multimodal understanding, and robotic manipulation data.

Mentors

Vipin Chaudhary, PhD

Kevin J. Kranzusch Chair, Computer and Data Sciences,
Center for PEATAI, Case School of Engineering

Collaborators

Chaoda Song

PhD Student