Yangming Li Headshot

Yangming Li

Assistant Professor

Department of Electrical and Computer Engineering Technology
College of Engineering Technology

585-475-4184
Office Hours
Wednesday & Friday 7:00PM~9:00PM
Office Location

Yangming Li

Assistant Professor

Department of Electrical and Computer Engineering Technology
College of Engineering Technology

Education

BS, MS, Hefei University of Technology (China); Ph.D., University of Science and Technology of China (China)

Bio

Assistant Professor

Department of Electrical, Computer & Telecom Engineering Technology

Department BioMedical Engineering (adjunct)

Golisano College of Computing and Information Sciences Ph.D. Program (adjunct)

Center for Imaging Science (adjunct)

585-475-4184

Personal Links

Select Scholarship

Published Conference Proceedings
Li, Yangming. "Soft-obstacle Avoidance for Redundant Manipulators with Recurrent Neural Network." Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Ed. none. Madrid, Spain: IEEE, Print.

Currently Teaching

IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
CPET-121
3 Credits
This is the first course in a two-course sequence in computational problem solving of engineering and scientific problems. The problems solved will stress the application of sequence, selection, repetitive, invocation operations, and arrays. The development of proper testing procedures to ensure computational accuracy will be stressed. Students, upon successful completion of this course, will be able to analyze introductory engineering and scientific problems, design, code, test, and document procedural software solutions.
ENGT-510
0 Credits
This faculty directed undergraduate research experience involves student(s) in a research project. Under the guidance of CET faculty and using one or a variety of methods, students will collect data and contribute to problem solving within a research environment. As an undergraduate research experience, emphasis is on the process of scientific research, including problem definition, formulating a research plan, data collection/analysis and interpretation based on existing research. Department permission is required.