The ASIC Testing Laboratory (ATL) supports research conducted by graduate students from the Electrical Engineering and Computer Engineering Departments. Computer-aided testing packages from industry and the public domain are used in such projects as fault analysis on the device level, functional testability measures, partitioning HDL models for testability, and rapid prototyping using field programmable gate arrays (FPGAs).
The Communications and Microwave Laboratory provides a full range of modern measurement capability from 0-22 GHz, including a number of automatic network analyzers and modern spectrum analyzers. It also has extensive computer-aided design and simulation capability, based largely on modern commercial software running on workstations. Interconnection of hardware measurements and computer simulation is stressed.
The Digital Systems Laboratory (operated jointly with the Computer Engineering Department) provides complete facilities for experiments and projects ranging in complexity from a few digital integrated circuits and other electronic components to complete computer systems. It includes a variety of development systems to support microprocessor-based design, VLSI design, and other computer design projects. It also holds facilities to support digital signal processing projects.
The Electron Devices Laboratory is dedicated to teaching and research topics on electronic devices, materials and their manufacturing technologies. The Laboratory has a class-100, clean-room facility which provides hands-on experience of fabrication and characterization of basic electronic devices. Current research topics include Impact of Process Variations on the Analysis and Optimization of VLSI Circuits, and Modeling MOS Devices including Quantum Mechanical Interface Charge Distribution Effects.
The Image Processing Laboratory is used primarily for graduate research. It is equipped with networked workstations and multimedia PCs. Research areas include theoretical issues in image processing, image analysis, and three-dimensional modeling from two-dimensional data. Applications include medical image analysis, two- and three-dimensional image reconstruction, and passive navigation for robotic vision.
The Intelligent Control Laboratory provides an experimental environment for students in the area of control and system engineering. It includes a computer controlled IBM robotic arm system, several servo-experimenters, and a torsional mechanical control system. The equipment provides students with a wide range of qualitative and quantitative experiments for learning the utility and versatility of feedback in computer-controlled systems.
The Image and Video Processing Laboratory supports graduate student research on algorithms and implementations for image analysis, image reconstruction and super-resolution, and stereo imaging. Laboratory equipment includes cameras for image acquisition, computational resources, and FPGAs for real-time testing.
The Latimer Energy Laboratory (LEL) supports a very wide range of activities relating to photovoltaics (PV), from K-12 outreach through graduate engineering. The laboratory focuses on measurement of solar radiation, measurement and characterization of artificial light sources, study of physical characteristics of PV cells, and electrical characteristics, including I-V curves. Instrumentation includes: pyranometers, VIS-IR spectrometers, metallurgical microscopes, source meters, and related computers.
The Robotics Systems Laboratory is an interdisciplinary laboratory specializing in the design, control, and teleoperation of highly capable robotics systems for scientific discovery, technology validation, and engineering education. Laboratory students develop and operate systems that include spacecraft, underwater robots, aircraft, and land rovers. These projects serve as ideal test beds for learning and conducting research in mechatronic system design, guidance and navigation, command and control systems, and human-machine interfaces.
The Multimedia Education Laboratory (operated jointly with the Department of Computer Engineering) is dedicated to the development and delivery of multimedia educational resources and to the development of tools to create and present these resources. The laboratory is equipped with eight UNIX workstations.
The Nanoelectronics Laboratory provides teaching and research facilities for modeling, simulation, and characterization of devices and circuits in the nanoscale. Ongoing research topics include silicon heterostructures, thin dielectrics, high-frequency device and circuit parameter extraction, carbon nanotubes used as electrical and thermal interconnects, and compact modeling of transistors and interconnects for large-scale circuit simulation. This laboratory is part of the campus-wide Center for Nanostructures, established to conduct, promote, and nurture nanoscale science and technology interdisciplinary research and education activities at the University, and to position the University as a national center of innovation in nanoscience education and nanostructures research.
The Signal Processing Laboratory is used primarily for graduate research. It is equipped with networked workstations, multimedia PCs, and real-time DSP systems. Research areas include adaptive signal processing, artificial neural networks, speech processing, and nonlinear signal processing. Applications include VLSI implementations of adaptive signal processing.