Electrical and Computer Research Themes

Signal Processing

Research in signal processing incorporates a wide range of areas, including statistical, nonlinear, and multidimensional signal processing.  Focus applications include time-series forecasting, signal enhancement and noise reduction, speech recognition and enhancement, biological signal classification, and energy systems diagnostics and prognostics.

Faculty

 

Dr. Ronald Brown  

 

Dr. Xin Feng 

 

Dr. Michael Johnson, P.E. 

 

Dr. Richard Povinelli, P.E. 

 

Dr. James Richie 

 

Dr. Edwin Yaz, P.E. 

 

 

Control Theory

Control systems research centers on the areas of intelligent and adaptive controls, stochastic estimation, and nonlinear and chaotic controls. Application goals include consumption modeling and forecasting, secure communications, and controls for electric energy systems.

 Faculty

 

Dr. Ronald Brown 

 

Dr. Xin Feng 

 

Dr. Susan Schneider 

 

Dr. Edwin Yaz, P.E. 

 

 

Electromagnetic Fields and Waves

Electromagnetics research consists of computational electromagnetics, electromagnetic scattering, antennas and wave propagation, and interactions between mechanical and electromagnetic properties of materials.  Targeted applications include finite element models of electromagnetic devices and antenna characteristics modeling.

Faculty

 

Dr. Nabeel Demerdash 

 

Dr. James E. Richie 

 

 

Power and Energy Systems

Power and energy research focuses on modeling and analysis of electric machines and drives, with application to diagnostics and prognostics in electric energy devices and renewable energy systems.

Faculty

 

Dr. Nabeel Demerdash 

 

Dr. Edwin Yaz, P.E. 

 

 

Solid-State Devices and Sensor Systems

Research in sensor systems includes the areas of solid-state, acoustic wave, Micro-Electrical-Mechanical Systems (MEMS) devices, nanoscale device fabrication and characterization.  Key applications include chemical and biochemical sensors and development of nanoscale devices and technology.

Faculty

 

Dr. Chung Hoon Lee

 

Dr. Fabien Josse 

 

Dr. Susan Schneider 

 

 

Algorithms and Machine Learning

Machine learning focuses on computational techniques such as statistical pattern recognition, neural networks, evolutionary algorithms, and high performance computing, with applications to important problems such as time-series forecasting and prediction, automatic speech recognition, data mining, financial engineering, and mathematical modeling of biological systems.

Faculty

 

Dr. Ronald Brown  

 

Dr. Xin Feng 

 

Dr. Michael Johnson, P.E. 

 

Dr. Richard Povinelli, P.E. 

 

 

Students studying in lab

Overview

Electrical engineers work on the generation, transmission and distribution of electricity and how we use it. Computer engineers design and build the hardware and software that run our global marketplace. Think about the gadgets you plug into on a daily basis. How many of them are powered by electricity or computer technology?

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Advisory Board

Co-op and Internship

Faculty and Staff


Contact

 

Dr. Edwin Yaz
Department Chair
Professor

(414) 288-6820
edwin.yaz@marquette.edu