Yu-Dong Yao

Professor

School: School of Engineering and Science

Department: Electrical and Computer Engineering

Building: Burchard

Room: 413 B

Phone: (201) 216-5264

Fax: (201) 216-8246

Email: yyao@stevens.edu

Website

Education
  • PhD (1988) Southeast University (Electrical Engineering)
Research

AI, Machine Learning, Deep Learning Algorithms and Applications
- Sensors, Signals, and Systems
- Wireless Communications
- Telehealth and AI Medicine

Institutional Service
  • ECE Graduate Program Committee Member
  • SES Doctoral Program Committee Member
  • ECE P&T Committee Member
Professional Service
  • IEEE North Jersey Section Chair
  • JMBE Editorial Board Member
Appointments

2000 - present: Professor, Stevens Institute of Technology, Hoboken, NJ
2007 - 2018: Professor and ECE Department Chair, Stevens Institute of Technology, Hoboken, NJ
1994 - 2000: Qualcomm Inc., San Diego, CA
1990 - 1994: Spar Aerospace Ltd., Montreal, Canada
1989 - 1990: Carleton University, Ottawa, Canada

Honors and Awards

- AIMBE Fellow (2021) (American Institute for Medical and Biological Engineering)
- CAE Fellow (2017) (Canadian Academy of 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)

Professional Societies
  • AIMBE – American Institute for Medical and Biological Engineering Fellow
  • CAE – Canadian Academy of Engineering Fellow
  • NAI – National Academy of Inventors Fellow
  • IEEE Fellow
Selected Publications
Conference Proceeding
  1. He, M.; Hohil, M.; LaPeruta, T.; Nashed, K.; Lawrence, V.; Yao, Y. (2021). Performance evaluation of multimodal deep learning: object identification using UAV dataset. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III (vol. 11746, pp. 117462B).
  2. Alhazmi, M. H.; Alymani, M.; Alhazmi, H.; Almarhabi, A.; Samarkandi, A.; Yao, Y. (2020). 5G signal identification using deep learning. 2020 29th Wireless and Optical Communications Conference (WOCC) (pp. 1--5).
  3. Alhazmi, H.; Almarhabi, A.; Samarkandi, A.; Alymani, M.; Alhazmi, M. H.; Sheng, Z.; Yao, Y. (2020). Classification of QPSK Signals with Different Phase Noise Levels Using Deep Learning. 2020 29th Wireless and Optical Communications Conference (WOCC) (pp. 1--5).
  4. Liu, J.; Chen, Y.; Dong, Y.; Wang, Y.; Zhao, T.; Yao, Y. (2020). Continuous user verification via respiratory biometrics. IEEE INFOCOM 2020-IEEE Conference on Computer Communications (pp. 1--10).
  5. Zhou, Y.; Peng, S.; Yao, Y. (2020). Mac protocol identification using convolutional neural networks. 2020 29th Wireless and Optical Communications Conference (WOCC) (pp. 1--4).
  6. Alymani, M.; Alhazmi, M. H.; Almarhabi, A.; Alhazmi, H.; Samarkandi, A.; Yao, Y. (2020). Rician K-factor estimation using deep learning. 2020 29th Wireless and Optical Communications Conference (WOCC) (pp. 1--4).
  7. He, M.; Peng, S.; Wang, H.; Yao, Y. (2020). Identification of ISM band signals using deep learning. 2020 29th Wireless and Optical Communications Conference (WOCC) (pp. 1--4).
Journal Article
  1. Peng, S.; Sun, S.; Yao, Y. (2021). A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing. IEEE Transactions on Neural Networks and Learning Systems. IEEE.
  2. He, J.; Shen, L.; Yao, Y.; Wang, H.; Zhao, G.; Gu, X.; Ding, W. (2021). Finger Vein Image Deblurring Using Neighbors-based Binary-GAN (NB-GAN). IEEE Transactions on Emerging Topics in Computational Intelligence. IEEE Press.
  3. Dong, Y.; Yao, Y. (2021). IoT platform for COVID-19 prevention and control: A survey. IEEE Access (vol. 9, pp. 49929--49941). IEEE.
  4. Zhou, Y.; Alhazmi, H.; Alhazmi, M. H.; Almarhabi, A.; Alymani, M.; He, M.; Peng, S.; Samarkandi, A.; Sheng, Z.; Wang, H.; others (2021). Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems. Intelligent and Converged Networks (1 ed., vol. 2, pp. 16--29). TUP.
  5. Ly, A.; Yao, Y. (2021). A Review of Deep Learning in 5G Research: Channel Coding, Massive MIMO, Multiple Access, Resource Allocation, and Network Security. IEEE Open Journal of the Communications Society (vol. 2, pp. 396--408). IEEE.
  6. Dong, Y.; Yao, Y. (2020). Secure MMWave-Radar-Based Speaker Verification for IoT Smart Home. IEEE Internet of Things Journal (5 ed., vol. 8, pp. 3500--3511). IEEE.
  7. Dong, Y.; Wang, H.; Yao, Y. (2020). Channel estimation for one-bit multiuser massive MIMO using conditional GAN. IEEE Communications Letters (3 ed., vol. 25, pp. 854--858). IEEE.
  8. Lv, G.; Shen, L.; Yao, Y.; Wang, H.; Zhao, G. (2020). Feature-Level Fusion of Finger Vein and Fingerprint Based on a Single Finger Image: The Use of Incompletely Closed Near-Infrared Equipment. Symmetry (5 ed., vol. 12, pp. 709). Multidisciplinary Digital Publishing Institute.
  9. Yang, H.; Shen, L.; Yao, Y.; Wang, H.; Zhao, G. (2020). Finger Vein Image Inpainting With Gabor Texture Constraints. IEEE Access (vol. 8, pp. 83041--83051). IEEE.
  10. Liu, B.; Chen, Y.; Liu, H.; Yao, Y. (2020). Mobile Light Storage: Make the Light Smarter. Procedia Computer Science (vol. 175, pp. 36--45). Elsevier.
  11. Luo, B.; Yao, Y.; Sun, Z. (2020). Performance Analysis Models of BLE Neighbor Discovery: A Survey. IEEE Internet of Things Journal. IEEE.
  12. Li, F.; Ji, W.; Tan, S.; Xie, Y.; Guo, X.; Liu, H.; Yao, Y. (2020). Quantum Bacterial Foraging Optimization: From Theory to MIMO System Designs. IEEE Open Journal of the Communications Society (vol. 1, pp. 1632--1646). IEEE.