The Electrical Engineering program is supported by a set of well-equipped laboratories. Some are dedicated solely for lower division courses such as circuits and electronics. In addition, the department has a diversity of research and teaching laboratories listed next.
The RF and Communications Laboratory provides a full range of modern measurement capability from 0-22 GHz, including a number of antenna measurement systems, vector 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 Department of Computer Engineering) provides complete facilities for experiments and projects ranging in complexity from a few digital integrated circuits to FPGA-based designs. The laboratory also includes a variety of development systems to support embedded systems and digital signal processing.
The Electronic Devices Laboratory is dedicated to teaching and research topics on electronic devices, materials, and their manufacturing technologies. Current research topics include modeling complex electronic devices using variational methodologies, experimental studies of photovoltaic devices, aging of organic semiconductor films, porous silicon, etc.
The Intelligent Control Laboratory provides an experimental environment for students in the area of control and system engineering. The lab includes computer-controlled DC motors. These motors provide students with a range of qualitative and quantitative experiments such as inverted pendulum for learning the utility and versatility of feedback in computer-controlled systems.
The Latimer Energy Laboratory (LEL) supports a very wide range of activities relating to solar energy, more specifically photovoltaics (PV) and management of renewable energy sources, from K-12 outreach through graduate engineering. The laboratory focuses on two major directions: 1) measurement and characterization of different renewable energy sources; 2) integration of renewable energy into the electric grid. The laboratory includes instrumentation such as pyranometers, VIS-IR spectrometers, metallurgical microscopes, source meters, grid simulator software and related computers.
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 nanostructures used as electrical interconnect and thermal interface materials, 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 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 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 Signal Processing Research Laboratory (SPRL) conducts research into theoretical algorithm development in adaptive/nonlinear signal processing, speech/audio/video signal processing, and their applications in communications, biotech, Voice-over-IP networking, and related areas. The lab supports student research in algorithms and real-time implementations on Digital Signal Processors (DSPs) and Field Programmable Gate Arrays (FPGAs). Laboratory equipment includes UNIX workstations, PCs, digital oscilloscopes, video cameras, wireless LAN networking equipment, DSP boards, and FPGA boards.