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Department of Electrical and Computer Engineering
Research Laboratories and Centers
Advanced Computing Technology (ACT) Laboratory
Director: Dr. Xin Feng
The Advanced Computing Technology Laboratory is equipped with a Silicon Graphics IRIS workstation and several PCS networked together for research in the area of advanced computing technologies. A variety of virtual reality, neural network, and expert systems software is installed in the network.
Biomedical Telemetry and Wireless Sensing Research Laboratory
Director: Dr. Dean Jeutter
The laboratory is a resource for the design, implementation, and characterization of wireless remote sensing devices and systems and is available to faculty and graduate students. Radio Frequency (RF) electrical and biomedical telemetry (both implantable and externally placed systems) and transcutaneous RF power transfer systems, often enhanced with microprocessors, are laboratory specialties. State-of-the-art instrumentation coupled with personal computer CAD packages enables novel systems development. Integration of printed circuit board software (PCAD 2003), hardware tools (T-Tech board routing machine), and surface mounted component fabrication capability provides a seamless pathway from idea to device realization.
Electrical and Computer Engineering Open Laboratory
Director: Prof. Francis X. Jacoby
The Open Laboratory is a facility available to all students and faculty for working on electronic systems. The laboratory is open sixty hours per week during each semester.
Electric Machines, Drives and Systems Laboratory
Director: Dr. Abd A. Arkadan
The Machines and Drives Laboratory is a facility for research on modern electromechanical devices, associated power electronics and electromagnetic devices. The laboratory includes motor-drive setups for switched reluctance, permanent magnet, synchronous, and induction motor drive-load systems and associated measurement devices. In addition, the laboratory includes computation facilities for design, simulation and analysis of electromagnetic devices and electromechanical systems. Current and recent research includes work on characterization of electromagnetic devices including micro machines and magnetic field based sensors using field analysis and Artificial Intelligence based algorithms.
Electric Machines and Drives Laboratory
Director: Dr. Nabeel A. O. Demerdash
This electric machines and drives laboratory is a facility for research on modem electric machinery in adjustable speed drives, and electromechanical systems in general, including associated electromagnetic and power electronic studies and simulation model developments. The laboratory includes a dynamometer facility for testing electric machinery in modern adjustable speed drives of the induction, brushless-dc, conventional-dc, synchronous and other motors and for verification/validation of simulation results. It includes several systems with modern vector control drives of induction machines and brushless dc machines for servo- control and aerospace applications. Computation facilities and in-house software for finite- element analysis of magnetic fields in electric machinery are included in this laboratory facility with PC based computation hardware.
Electromagnetic and Material Properties Laboratory
Director: Dr. Martin A. Seitz, Associates: Dr. Richard Hirthe, Dr. Charles Koehler
This facility is involved in the evaluation of the physiochemical properties exhibited by heterogeneous materials systems, as can be detected in the electrical behavior of these media. The primary characterization tools used in these investigations are Impedance Spectroscopy (variable frequency AC measurements) and FT-IR spectroscopy. Theses techniques have proven invaluable in developing basic understanding of systems where microstructure and/or changes in chemical composition strongly influence the properties and performance of the media, and are detectable via impedance measurements. This approach has led to the evolution of sensor concepts for a number of materials systems that possess bulk and interfacial properties of technological interest.
Electromagnetic Simulations Laboratory
Director: Dr. James E. Richie; Associate: Dr. Thomas K. Ishii
The Electromagnetic Simulations Laboratory is a facility for research on electromagnetic scattering, diffraction and antenna/electromagnetic sensors. This includes the development of algorithms related to the generalized multipole techniques (GMT), indoor propagation techniques, high frequency techniques (such as PTD and UTD), and antennas mounted on small platforms. The laboratory includes computational facilities for electromagnetic analysis including GMT codes, moment method codes, and high frequency scattering algorithms. Current and recent research includes development of modeling rules for GMT, development of ray tracing models for indoor propagation, and electromagnetic compatibility issues such as VHF/UHF helicopter antennas, and auto-rendezvous and capture of remotely piloted space vehicles
Intelligent Systems and Controls Laboratory
Director: Dr. Ronald Brown, Associates: Dr. Xin Feng, Dr. Michael Johnson, Dr. Richard Povinelli, and Dr. Edwin Yaz
The Intelligent Systems and Controls Laboratory is a facility for research on new methods for system identification and control, including:
- Intelligent controls: Nonlinear system identification and adaptive controls, including utilizing artificial neural networks and optimization/training algorithms. System modeling and simulation, parameter estimation and identification.
- Control systems: Incremental motion control, control of switched reluctance, brushless DC and step motor systems.
- Optimization: Control and estimator design using Linear Matrix Inequality optimization.
- Identification: Dynamic system identification using artificial neural networks and genetic algorithms.
Time series models: Time series models for identification, prediction, and control using artificial neural networks, genetic algorithms, fuzzy expert systems, and chaotic systems. Analysis of nonlinear stochastic estimators. Applications of control and signal processing theories to sensor system design.
Knowledge and Information Discovery (KID) Laboratory
Director: Dr. Richard Povinelli
Members of the KID lab focus on analyzing signals/systems using nonlinear and dynamic methods in combination with machine learning techniques in order to classify the types of systems that generated the signals or to predict the future trajectory of the systems. These methods have been applied to a wide range of signals/systems, including speech, heart, motor, and financial.
Material Science and Technology Center
Director: Dr. Martin Seitz
Microsensor Research Laboratory
Director: Dr. Fabien J. Josse, Associates: Dr. Jeanne Hossenlopp, Dr. Susan Schneider
The Microsensor Reseach Laboratory performs both theoretical and experimental work in acoustic wave, solid-state devices and Optical waveguides gas- and liquid-phase chemical and bio-sensors. The laboratory has state-of-the-art equipment for the design, characterization, and evaluation of these sensors and extensive computation facilities for theoretical modeling, analysis, and data processing.
Speech and Signal Processing Laboratory
Director: Dr. Michael Johnson, Associate: Dr. James Heinen
The Speech and Signal Processing lab focuses on the areas of signal processing, speech analysis, and natural language understanding. Current and past projects include:
- Applications of speech technology to bioacoustics/animal vocalizations
- Speech recognition and signal classification using dynamical systems models
- Microphone arrays for enhancement and recognition
- Speech and pattern recognition using Hidden Markov Models
- Formant tracking and speech enhancement
The Speech and Signal Processing lab includes a conference room and a computing lab with a variety of hardware platforms and accompanying software. Processing is conducted on PC's running Windows and Linux as well as a SUN workstation, with applications such as MATLAB, HTK, ESPS/Waves. An enclosed sound booth is available for speech testing in a noise-free environment, with detachable acoustic foam for nonreverberant experiments. The Speech Processing Laboratory also has state-of-the-art analog and digital equipment for the recording, processing, and playback of multiple simultaneous signals, including an 8-channel microphone array system and sound outputs for creating a multiple-source noise environment. The lab is a member of the Linguistic Data Consortium, providing access to an extensive database of speech and language corpora.
Solid State Device Laboratory
Director: Dr, Shrinivas G. Joshi
The Solid State Device Laboratory is well equipped for the fabrication of silicon based solid-state devices, surface acoustic wave (SAW) devices and sensors, and simple microelectronic circuits. Test equipment available in the laboratory can be used to evaluate performance of the fabricated devices at frequencies ranging from dc through the VHF range.
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