Yu-Dong Yao
Professor
Charles V. Schaefer, Jr. School of Engineering and Science
Department of Electrical and Computer Engineering
Education
- PhD (1988) Southeast University (Electrical Engineering)
- Other (1987) Visiting PhD Student, Carleton University (Electrical Engineering)
- MS (1985) Nanjing University of Posts and Telecommunications (Electrical Engineering)
- BE (1982) Nanjing University of Posts and Telecommunications (Electrical Engineering)
Research
AI, Machine Learning, Deep Learning Algorithms and Applications
- Sensors, Signals, Protocols, and Wireless Systems
- Telehealth and AI Medicine
- Sensors, Signals, Protocols, and Wireless Systems
- Telehealth and AI Medicine
General Information
Prof. Yu-Dong Yao has been with the Department of Electrical and Computer Engineering at Stevens Institute of Technology since 2000, where he served as Department Chair from 2007 to 2018. Prior to joining Stevens, he held positions at Qualcomm in San Diego, Spar Aerospace in Montreal, and Carleton University in Ottawa. His current research focuses on AI, machine learning, and deep learning algorithms, with applications spanning two primary areas: (1) wireless communications and networks, including sensors, signals, and protocols; and (2) medical and biomedical engineering, particularly involving biological signals and medical imaging.
Institutional Service
- SES Faculty Advisory Council Member
Professional Service
- Editor-in-Chief, AI Engineering
- IEEE North Jersey Section ExCom Member
Appointments
2000 - present: Professor, Stevens Institute of Technology, Hoboken, NJ
2007 - 2018: Professor and ECE Department Chair, Stevens Institute of Technology
1994 - 2000: Qualcomm Inc., San Diego, CA
1990 - 1994: Spar Aerospace Ltd., Montreal, Canada
1989 - 1990: Carleton University, Ottawa, Canada
2007 - 2018: Professor and ECE Department Chair, Stevens Institute of Technology
1994 - 2000: Qualcomm Inc., San Diego, CA
1990 - 1994: Spar Aerospace Ltd., Montreal, Canada
1989 - 1990: Carleton University, Ottawa, Canada
Honors and Awards
- CAE Fellow (2017) (Canadian Academy of Engineering)
- AAIA Fellow (2022) (Asia-Pacific Artificial Intelligence Association)
- AIMBE Fellow (2021) (American Institute for Medical and Biological Engineering)
- NAI Fellow (2015) (National Academy of Inventors)
- IEEE Fellow (2011) (Institute of Electrical and Electronics Engineers)
- Master of Engineering (Honoris Causa), Stevens Institute of Technology (2018)
- Stevens Graduate Student Council Faculty Recognition Award (2016)
- Stevens Alumni Association Outstanding Teacher Award (2008)
- AAIA Fellow (2022) (Asia-Pacific Artificial Intelligence Association)
- AIMBE Fellow (2021) (American Institute for Medical and Biological Engineering)
- NAI Fellow (2015) (National Academy of Inventors)
- IEEE Fellow (2011) (Institute of Electrical and Electronics Engineers)
- Master of Engineering (Honoris Causa), Stevens Institute of Technology (2018)
- Stevens Graduate Student Council Faculty Recognition Award (2016)
- Stevens Alumni Association Outstanding Teacher Award (2008)
Selected Publications
https://scholar.google.com/citations?user=_9RIAjYAAAAJ&hl=en
Courses
- AI, Machine Learning, Deep Learning Topics
- Wireless Communications Topics
- Wireless Communications Topics