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Liu, Eugene

Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Liu's research is focused on the optimization of communication systems and networks, their performance analysis, and their performance upper limit characterization. The interests include artificial intelligence aided wireless and wireline communications, information theory and coding theory.

keywords

  • communication systems and networks, information theory, coding theory, machine learning

Publications

selected publications

Teaching

courses taught

  • ECEN 3300 - Linear Systems
    Primary Instructor - Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021
    Characterization of linear time-invariant systems in time and frequency domains. Continuous time systems are analyzed using differential equations and Laplace and Fourier transforms. Discrete time systems are analyzed using difference equations, Z-transforms and discrete time Fourier transforms. Sampling and reconstruction of signals using the sampling theorem. Applications of linear systems include communications, signal processing, and control systems. Degree credit not granted for this course and ECEN 3301.
  • ECEN 3810 - Introduction to Probability Theory
    Primary Instructor - Fall 2023
    Covers the fundamentals of probability theory, and treats the random variables and random processes of greatest importance in electrical engineering. Provides a foundation for study of communication theory, control theory, reliability theory, and optics. Credit not granted for this course and MATH 4510 or APPM 3570.
  • ECEN 5002 - Special Topics
    Primary Instructor - Spring 2020 / Spring 2021 / Fall 2024
    Examines a special topic in Electrical, Computer and Energy Engineering. May be repeated for up to 9 total credit hours.
  • ECEN 5022 - Special Topics
    Primary Instructor - Spring 2023
  • ECEN 5612 - Random Processes for Engineers
    Primary Instructor - Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021 / Fall 2023 / Fall 2024
    Deals with random time-varying functions and is therefore useful in the broad range of applications where they occur. Topics include review of probability, convergence of random sequences, random vectors, minimum mean-square error estimation, basic concepts of random processes, Markov processes, Poisson processes, Gaussian processes, linear systems with random inputs, and Wiener filtering. Applications range from communications, communication networks, and signal processing to random vibration/stress analysis, mathematical finance, physics, etc.
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Background

International Activities

geographic focus

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