Qianying Cao Headshot

Qianying Cao

Assistant Professor, Mechanical Engineering

Department of Mechanical Engineering
Kate Gleason College of Engineering

Qianying Cao

Assistant Professor, Mechanical Engineering

Department of Mechanical Engineering
Kate Gleason College of Engineering

Bio

Dr. Cao’s research focuses on developing scientific machine learning methods to solve complex scientific and engineering problems. Her work spans structural behavior prediction, system identification and health monitoring, AI-aided design of metamaterials for additive manufacturing, and data-driven modeling for climate and engineering systems. She has published 28 peer-reviewed research articles, including journal publications in Nature Machine Intelligence, Nature Communications, and Advanced Materials. Before joining RIT, she was a Postdoctoral Research Associate in the Division of Applied Mathematics at Brown University.

Openings

I am currently recruiting fully funded Ph.D. students to join my research group. Potential research directions include AI-aided material and structure co-design and analysis, as well as complex system dynamics and control.

I welcome highly motivated applicants with backgrounds in mechanical engineering, ocean engineering, mechatronics, applied mechanics, materials science, computational science, or related fields. Experience with machine learning, scientific computing, finite element analysis, CFD, dynamics, control, optimization, programming, or experimental testing will be considered positively.

Currently Teaching

MECE-117
3 Credits
This course provides the student with an overview of the use of computer programming for solving problems encountered in engineering. Students will learn how to develop an algorithm for solving a problem and to translate that algorithm into computer code using fundamental structured programming techniques. The programming language(s) employed are selected to support computational problem-solving in higher-level mechanical engineering courses.