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Why Electrical Engineering at UTA?


On a strong track toward Tier 1, UT - Arlington is a doctoral, research - extensive university, with enrollment now exceeding 34,000 students. As a part of the University of Texas system, UT -Arlington is located in the rapidly growing Dallas/Fort Worth Metroplex, one of the nation's leading regions in the developement of electrical engineering related advanced technologies. This environment and strong supports provide excellent oppurtunity for industrial and academic collaborations. The EE Department is a key resource to provide world-class education and research to high-quality students by distinguished faculty.

The faculty are engaged in the following disciplinary reserach areas:

ELECTRICAL POWER SYSTEMS, MICROGRIDS, POWER CONVERSION AND CONTROL, ENERGY STORAGE

W. J Lee Power system operations and simulations, stability analysis and control, load flow, surge protection and arc flash safety.
W. Dillon Space power applications, high voltage techniques, and conventional power system analysis.
R. Kenarangui Electric power distribution systems, radiation detectors based on nanocomposite scintillators for gamma-ray radiation and radiation, hardened robotics for sampling and rescue.
A. Davoudi Power electronics-based systems, energy conversion, renewable energy systems, Smart Grids, energy storage.
D. Wetz Pulsed power, high voltage engineering, electromagnetic propulsion, energy storage, Smart Grids.

SENSORS AND ROBOTICS, ASSISTIVE ROBOTICS, MULTISCALE ROBOTS, TEAMING ROBOTS

F. Lewis Feedback control systems (nonlinear process, adaptive, optimal, intelligent, and robust), cooperative multi-agent systems, robotics.
D. Popa Robotics, microrobotics and control systems, MEMS, micromanufacturing, human-robot interaction.
H. Stephanou Modular Microrobotic systems, Smart Micromachines, MEMS.
Z. Celik-Bulter Microelectromechanical systems, Infrared detectors, Noise in semiconductor and superconductor devices, and High Tc-superconductivity.
D. Butler Microelectromechanical devices, micromachined uncooled infrared detectors, sensors, and polymer nanocomposites.

QUANTUM OPTICS, NANOPHOTONICS, OPTICAL AMPLIFICATION

R. Magnusson Periodic nanostructures, nanolithography, nanophotonics, nanoelectronics, nanoplasmonics, optical bio- and chemical sensors, nanofabrication, integrated nanoscale devices.
K. Alavi Physics and applications of heterostructures, nonlinear optics, optical imaging.
W. Zhou Optoelectronic materials and devices, Nanophotonics and silicon photonics
M. Vasilyev Nonlinear and quantum optics, optical communication systems and devices, nanophotonics.

IMPLANTABLE SENSORS AND SYSTEMS, NANO-BIOSENSORS

JC Chiao Medical microdevices and Microsystems, Bio-electronics systems, MEMS, quasi-optical wireless systems, micro-nano-optics.
R. Magnusson Optical bio- and chemical sensors, periodic nanostructures, nanolithography, nanophotonics, nanoelectronics, nanoplasmonics, nanofabrication, integrated nanoscale devices.
Z. Celik-Bulter Microelectromechanical systems, Infrared detectors, Noise in semiconductor and superconductor devices, and High Tc-superconductivity.
D. Butler Microelectromechanical devices, micromachined uncooled infrared detectors, sensors, and polymer nanocomposites.
S. Iqbal Nanotechnology and MEMS, Biosensors and Bio-Inspired Fabrication.
S Jung Analog and mixed signal Integrated Circuit (IC) design, RF IC design, IC design for ultra-wide bandwidth (UWB) wireless communications, systems-on-a chip (SOC) implementation.

OPPORTUNISTIC SENSING, RADAR AND WIRELESS SENSOR NETWORKS

Q. Liang Sensor networks, wireless networks, wireless communications, signal processing for communications, fuzzy logic systems and applications, collaborative and distributed signal processing.
J. Bredow Remote sensing, radar, microwave circuits, antennas, electromagnetics.
S. Tjuatja Remote sensing, wireless communications, numerical techniques for electromagnetics.
A. Davis Microwave component design; microwave semiconductor circuit design.
I. Schizas Statistical Signal Processing, Wireless Sensor Networks, Data Dimensionality Reduction.

HUMAN PERFORMANCE, MULTIMEDIA, SIGNAL PROCESSING

K. R. Rao Digital signal and image processing. Data compression by various techniques for digital transmission or storage of audio and video at reduced rates.
V. Devarajan Image Processing, Virtual Reality and Digital Photogrammetry.
G. Kondraske System performance modeling and measurement (particularly applied to the human system and its subsystems), sensor and instrumentation design, measurement system design.
M. Manry Neural networks, image processing, digital signal processing, parameter estimation, and pattern recognition.
S. Oraintara Low-powered transforms. Digital signal and image processing and compression. Image reconstruction and restoration.