Liang Dong

Leon (Liang) Dong

Room 301B, Rogers Engineering Building
One Bear Place #97356
Waco, Texas 76798-7356
Phone: +1-254-710-4589
Fax: +1-254-710-3010
liang_dong@baylor.edu

Leon (Liang) Dong is an associate professor of Electrical & Computer Engineering. He specializes in digital signal processing, wireless communications and networking, cyber-physical system and security, and deep learning for signal processing and communications. His research has been sponsored by Baylor VP for Research, National Science Foundation, DOD TARDEC, MDOT, NASA, and companies such as L3Harris, Intel, ExxonMobil, and Denso.

Leon is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the American Physical Society (APS). He served as the faculty advisor of Baylor InterVarsity.

Ph.D., University of Texas at Austin, 2002 (Curriculum Vitae)

Teaching

Research

  • 5G Mobile Communications

  • The 5th generation (5G) mobile communication is the new generation of wireless broadband connection. To establish a ubiquitous connection of people and things, 5G has three specifications: enhanced mobile broadband, ultra-reliable low-latency communications, and massive machine-type communications. Our research focuses on dynamic spectrum sharing, orthogonal frequency-division multiple access, non-orthogonal multiple access, and multiple-input multiple-output technique for 5G.

  • Internet of Things

  • The Internet of Things (IoT) allows users to collect data from the physical environment. New information and communication technologies make the IoT scalable and reliable to support emerging demands for smart cities, active health, and connected cars. Our research focuses on energy-efficient communications and networking, big data analysis, and secure and trustworthy IoT.
  • AI Deep Learning

  • Deep neural networks use algorithms, big data, and computing power of digital systems to enable machines to learn quickly, accurately, and on a large scale. Our research explores convolutional neural network, recurrent neural network, deep reinforcement learning, generative adversarial networks, and other advanced methods that drive artificial intelligence.



© Leon (Liang) Dong, 2022