Liang (Leon) 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. Liang 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 | Current Research)
Baylor Lariat, Mar 2018
Deep learning, artificial intelligence leading the way to smart houses
Youtube, Dec 2018
Youtube, Dec 2018
Baylor Magazine, Feb 2015
- ELC 4351Digital Signal Processing (2018-Present, Fall 2017, Spring 2017, Fall 2016)
-                     [IEEE Signal Processing Magazine]
- ELC 5396Introduction to Deep Learning (2018-Present)
- ELC 4350Principles of Communication (2011-2016, 2020-Present)
- ELC 5396Wireless Communication and Networking (Fall 2017)
- ELC 5356Statistical & Adaptive Signal Processing (Spring 2017)
- ELC 5396Digital Communications (Fall 2016)
- ELC 4438Embedded Systems Design (Spring 2016)
Wireless and Mobile Communications
- Next Generation (NextG) wireless and mobile systems will provide enhanced data flow, communications, analytics, and automation for our connected world. Our research explores signal processing methods, transmit/receive techniques, radio communications, spectrum utilization, and mobile edge computing for NextG systems. We build AI autonomy to support systems' security, reliability, and adaptability.
Internet of Things
- NextG network systems will connect billions of heterogeneous Internet of Things (IoT) devices. The IoT perceives the physical environment, enables machine-to-machine communication, and provides low-latency computational and storage resources for smart cities, modern transportation, public health and safety, and defense. Our research focuses on energy-efficient communications and data analytics for IoT, and IoT reliability and security.
Artificial Intelligence Applications
- Deep neural networks harness advanced algorithms, big data, and the computing power of modern digital systems to enable machines to learn quickly and accurately at scale. We apply Artificial Intelligence (AI) deep learning to autonomous driving, drug molecule discovery, and industrial automation.
© Liang (Leon) Dong, 2022