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Research Laboratories

Analog and Mixed Signal Systems Design Laboratory

Faculty: Blankenship, Gilmer L.
Location: 2320 A.V. Williams Builiding

BAE Systems Controls Instructional Laboratory

Faculty: Blankenship, Gilmer L.
Levine, William

Location: 3209 Jeong H. Kim Building

This lab supports undergraduate and graduate students in controls-related courses throughout the school. Experimental stations will feature personal computers, data-acquisition boards and conditioning modules, signal generators and oscilloscopes. Each station hosts a series of physical experiments from motion control to fluids transport, illustrating common phenomena that complicate control design such as transport delay, instability, nonlinearity, resonance, and saturation.

For advanced student projects, there will be a microcontroller development station and a high-speed, DSP-based control station. Instructors will be able to assemble an appropriate set of controls lab experiences from a collection of self-contained modules. Topics such as identification, robust design, adaptive and nonlinear control will be studied in practice.

Biomotion Lab

Faculty: Chellappa, Rama
Location: 4448 A.V. Williams

Bionanosensors Lab

Faculty: Gomez, Romel
Location: 4452 A.V. Williams Building

Charged Particle Beam and Accelerator Research Group

Faculty: O'Shea, Patrick G.
Location: Energy Research Facility 0122 (IREAP)

Comcast Multimedia Signal Processing Laboratory

Signal Processing Lab
Faculty: Liu, K.J. Ray
Wu, Min

Location: 2211 Jeong H. Kim Building
Website: Website

Located in KIM 2211, this state-of-the-art lab conducts research into human-machine interactions and interfaces; high-definition broadcast and entertainment systems; content-based multimedia data archiving and retrieval; and wireless multimedia communications. Equipment includes high-definition display systems; a sound room with high-quality, surround-sound systems; high-performance graphics workstations for image and video processing applications; high-quality video cameras; and multi-processor workstations.

Computer-Aided Control Systems Lab

Faculty: Martins, Nuno
Location: 2158 A.V. Williams Building

Computer-Aided Design for Digital Signal Processing Systems Laboratory (DSPCAD)

Faculty: Bhattacharyya, Shuvra S.

Research in the DSPCAD Group focuses on computer-aided design (CAD) and implementation of digital signal processing (DSP) systems. DSP refers to the digital analysis and manipulation of data streams, such as those associated with audio signals, biomedical signals, control system components, digital communications waveforms, images, video streams. We work on many aspects of architectures, models of computation, and software tools for DSP system design, including specialized programming languages; synthesis and optimization of hardware and software; hardware/software co-design; and DSP implementations on field-programmable gate arrays (FPGAs), multicore processors, graphics processing units (GPUs), and application-specific integrated circuits (ASICs). The long-term goal of this research is to improve the productivity of designing DSP systems, as well as the reliability, predictability, and efficiency of DSP system implementations. Active research projects in the group, and areas in which we have made significant accomplishments include the following topics:

  • The dataflow interchange format (DIF), a dataflow language for design and implementation of signal processing systems.
  • DICE: The DSPCAD Integrative Command Line Environment.
  • LIDE: The DSPCAD Lightweight Dataflow Environment.
  • GPU-based acceleration of signal processing applications.
  • Memory and buffer management for DSP hardware and software.
  • Applications and tools for configurable computing.
  • Mapping algorithms onto multiprocessor DSP systems.
  • New computational models for more efficient programming of DSP systems.
  • Novel architectures for improving performance and predictability of DSP applications.
  • Low power implementation of embedded applications.
  • Architecture and optimizations for low power sensor networks.

Embedded Systems Research Laboratory (ESRL)

Faculty: Bhattacharyya, Shuvra S.
Location: 1424 A.V. Williams Building

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