Yu-Dong Yao (yyao)

Yu-Dong Yao

Professor

Burchard 413 B
(201) 216-8246

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, and Systems
--> Wireless Communications
--> Telehealth and AI Medicine

Professional Service

  • IEEE North Jersey Section ExCom Member
  • Associate Editor, Artificial Intelligence Review (AIRE) (Springer)
  • International Advisory Editorial Board Member, Journal of Medical and Biological Engineering (JMBE) (Springer)

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

Honors and Awards

--> AAIA Fellow (2022) (Asia-Pacific Artificial Intelligence Association)
--> 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)

Selected Publications

Conference Proceeding

  1. Dong, Y.; Wang, H.; Yao, Y. (2022). A Robust Adversarial Network-Based End-to-End Communications System with Strong Generalization Ability Against Adversarial Attacks. IEEE International Conference on Communications (vol. 2022-May, pp. 4086-4091).
  2. 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).
  3. Samarkandi, A.; Almarhabi, A.; Alhazmi, H.; Alymani, M.; Alhazmi, M. H.; Yao, Y. (2021). Modulation Classification in a Multipath Fading Channel Using Deep Learning: 16QAM, 32QAM and 64QAM. 2021 30th Wireless and Optical Communications Conference, WOCC 2021 (pp. 6-10).
  4. Almarhabi, A.; Alhazmi, H.; Samarkandi, A.; Alymani, M.; Alhazmi, M. H.; Yao, Y. (2021). QAM Signal Classification and Timing Jitter Identification Based on Eye Diagrams and Deep Learning. 2021 30th Wireless and Optical Communications Conference, WOCC 2021 (pp. 1-5).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).

Journal Article

  1. 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.
  2. 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.
  3. 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.
  4. Dong, Y.; Yao, Y. (2021). IoT platform for COVID-19 prevention and control: A survey. IEEE Access (vol. 9, pp. 49929--49941). IEEE.
  5. 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.
  6. He, B.; Shen, L.; Wang, H.; Yao, Y.; Zhao, G. (2021). Finger Vein De-noising Algorithm Based on Custom Sample-Texture Conditional Generative Adversarial Nets. Neural Processing Letters (6 ed., vol. 53, pp. 4279-4292).
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. Luo, B.; Yao, Y.; Sun, Z. (2020). Performance Analysis Models of BLE Neighbor Discovery: A Survey. IEEE Internet of Things Journal. IEEE.
  13. 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.
  14. 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.