Engineering class

ELECTRICAL & COMPUTER

Faculty Research

The EECE department boasts many internationally recognized faculty covering diverse research interests, with funding from a wide range of federal and corporate sources, including the National Science Foundation, Department of Education, Department of Energy, Department of Defense and many others.

Our research focuses in six core areas:

Ongoing research activities and core faculty within these areas are summarized below. Additional information on EECE research activities can be found at the Labs and Centers and Faculty pages.

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.

Dr. Ronald Brown
Dr. Xin Feng
Dr. Michael Johnson
Dr. Richard Povinelli
Dr. James Richie
Dr. Edwin Yaz

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.

Dr. Ron Brown
Dr. Xin Feng
Dr. Susan Schneider
Dr. Edwin Yaz

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.

Dr. Nabeel Demerdash
Dr. James 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.

Dr. Nabeel Demerdash
Dr. Edwin Yaz

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.

Dr. Chung Hoon Lee
Dr. Shri Joshi
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.

Dr. Ron Brown
Dr. George Corliss
Dr. Xin Feng
Dr. Michael Johnson
Dr. Richard Povinelli


COLLEGE OF ENGINEERING

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College of Engineering
1515 W. Wisconsin Ave.
Milwaukee, WI 53233

Dean's office: (414) 288-6591
Prospective students: (414) 288-7302
Academic Advising Center: (414) 288-6000
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