The Autonomous Systems Lab supports projects in the design, development, and testing of autonomous robots. Recent projects include a persistent drone for surveillance applications, a companion robot for persons aging at home, and quantification of “trust” in an autonomous robot. The Lab is associated with the ENEE Capstone Design Course where students work in teams to build autonomous, mobile robots that perform one or more useful functions, e.g., such as serving as a companion to an elderly or infirm person.
This lab supports undergraduate and graduate students in controls-related courses throughout the school. Experimental stations 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, non-linearity, resonance, and saturation.
The Bionanosensors lab is dedicated to the development of nanoscale electronic and photonic devices for biological screening applications. Some completed projects include the development of a low-cost technique for rapid identification of viral infection using LAMP (loop mediated DNA amplification), and the development of carbon nanotube field effect transistor arrays to detect DNA-DNA binding.
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.
The research areas in Communications and Signal Processing can be categorized into three main areas: communications, networking, and signal and image processing.
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.
This group aims to theoretically and experimentally investigate various quantum properties of light-matter interaction for applications in quantum information processing, sensing and quantum materials with novel functionalities. Moreover, we explore associated fundamental phenomena, such as many-body physics, that could emerge in such physical systems. This research is at the interface of quantum optics, condensed matter physics, and machine learning.
Advised by Associate Professor Pamela Abshire, IBIS is a lab of seven students researching and developing cell clinics, adaptive circuits, information and power efficiency and imaging. The lab is sponsored by NSF, MIPS and other related organizations.
The primary goal of this laboratory is to advance the state-of-the art in the design and real-time control of smart systems drawing on advances in: (a) novel sensing and actuation materials and mechanism designs; (b) new principles for actuation, propulsion, detection, reduction, learning, and adaptation; (c) conceptualizing and prototyping across scales, to sense, actuate, communicate and control.
The interaction of extremely intense laser pulses with solids, liquids and gases has many technological applications and is rich in physics. Intense Laser Matter Interactions experiments involve elements of atomic physics, nonlinear optics, plasma physics, condensed matter physics and quantum electronics.
Led by Professor Dagenias, the lab studies photovoltaic research, nanoantenna-based rectifiers for solar energy for solar energy scavenging, mid IR room temperature interband cascade lasers, high power semiconductor lasers, Bragg grating and nanocavity bio-sensing and nano-wire lasers and detectors.
The University of Maryland Institute for Advanced Computer Studies (UMIACS) Laboratory for Parallel Computation was established in 1985 to support research in massively parallel systems, architectures, and algorithms. The mission of the Laboratory is to stimulate and facilitate the growth necessary to extend the state of the art in High Performance Computing.
The Laboratory for Solar and Quantum Technology focuses on engineering the fundamental interaction between light and matter and applying this understanding to optical systems, control of quantum forces, and for energy harvesting and photovoltaic applications. These studies involve novel photonic and plasmonic structures for light trapping, energy collection and extraction, communications, and sensors and merges physics and engineering to accomplish these goals.
With years of R&D experience in the modeling, simulation, design, and development of power electronics solutions, the MPEL team is highly experienced in a wide range of power electronic systems. Their proficiency in power electronics puts their team in a position to be a valuable resource for delivering impactful solutions for your requirements. Each member of the team is skilled and practiced in completing projects from modeling to implementation and validation.
The Memory Systems Research Lab goals include detailed understanding of the memory system, deep characterization of its behavior, exploration of novel mechanisms and technologies, and development of extremely efficient next-generation systems from very large scale to memory-systems-on-chip. They have developed one of the world's most accurate and modular memory-system design frameworks, currently in wide use in both industry and academia.
This lab focuses on application-driven technology development using micro- and nanoengineering approaches. A centerpiece of their efforts is systems integration to provide holistic solutions for real-world use. The focus of their work is aimed specifically at in-vivo and in-vitro clinical applications. This research is complemented by thrusts in energy storage, harvesting and conversion to provide power for the desired embedded, self-sustaining systems.
As part of the Electrical and Computer Engineering Department and The Institute for System Research, the Neural Systems Laboratory studies the functionality of the mammalian auditory system through several disciplines and techniques ranging from theoretical models to neurophysiological investigations and psychoacoustical experiments.
Research in the Maryland Optics Group covers a broad range of topics including Free Space Optical (FSO) Communications, biosensors, near-field antenna characterization, nano-optics, plasmon spectrosocopy, and fiber and free-space laser interferometry.
The Photonics Research Lab, led by Thomas E. Murphy at the University of Maryland, conducts research related to integrated optics, nanophotonic devices, nonlinear dynamics, terahertz photonics, nonlinear optics, ultrafast optics, microwave photonics, and optical communication systems. Their central goal is to explore new devices and techniques that improve the speed, sensitivity, resolution, and efficiency of optical communication and sensor systems.
The Resilient Cyber-Physical Systems lab is part of the Electrical and Computer Engineering Department at the University of Maryland. The lab is physically located in 2352 AV Williams Building with an additional testing facility located in the Energy Research Building. Their research is in the broad area of embedded and cyber-physical systems with applications in robotics, IoT, and pervasive sensing and control.
The Signal and Information Group (SIG) of University of Maryland, College Park is led by Professor K. J. Ray Liu with research interests encompassing a broad spectrum of signal processing and communications, including wireless communications; network science; multimedia signal processing; information forensics and security; bioinformatics; and signal processing algorithms and architectures.
Research at the Speech Communication Lab focuses on combining the principles of science with the innovation of engineering to solve problems in speech and related areas. The emphasis of research is on understanding the principles of speech production and perception, and applying these principles in the development of acoustic parameters that will enable machines to automatically identify speakers or recognize speech. Research is also aimed at enhancing the quality of speech for such applications. All the projects are headed by Dr. Carol Espy-Wilson, the director of the Speech Communication Lab.
The Systems Engineering and Integration Laboratory conducts research on systems integration and vertical systems engineering, undertaking the merging of sophisticated control and communication systems methodologies, such as large-scale optimization, nonlinear and stochastic estimation and control, algebraic and differential geometric methods, scheduling, with computer-science methodologies from database management, search and planning algorithms, symbolic computation, object-oriented programming, and massively parallel architectures.
The Computational Sensorimotor Systems Lab focuses on the exploration, analysis, modeling and implementation of biological sensorimotor systems for both scientific and engineering purposes. Specifically, the CSSL is interested in the neural basis of fast, accurate sensorimotor processing and long-term learning in these systems.
The University of Maryland Electron Ring (UMER) is a world-class research facility in beam and accelerator physics at the Institute for Research in Electronics and Applied Physics, on the University of Maryland, College Park campus. Using a scaled low-energy electron beam, UMER cleverly accesses the intense, high-brightness, regime of beam operation in accelerators, at a much lower cost than larger and more energetic machines. UMER therefore makes an ideal testbed for experimenting in pushing up the brightness of existing and future accelerators.