Professor Marc Olano improved the visualization of water for Civilization 5 while on sabbatical at Firaxis

Research Centers and Laboratories

Computer Science

  • CARTA – Center for Accelerated Real-Time Analytics

    An NSF sponsored IUCRC center focused on cutting edge inter-disciplinary research in real-time analytics using next-generation accelerated hardware.

  • CDL – Cyber Defense Lab

    The UMBC Cyber Defense Lab (CDL) is a place where students, faculty, and affiliates carry out cybersecurity research. Current projects include high-integrity voting, protocol analysis, and cybersecurity education.

  • CHMPR – Center for Multicore Productivity Research

    A cooperative research consortium for addressing productivity, performance, and scalability issues in meeting its sponsors’ applications’ insatiable computational demands through the continuous evolution of multicore architectures and open source tools.

  • CORAL – Cognition Robotics and Learning Lab

    Research to understand how artificial systems can acquire grounded knowledge from sensorimotor interaction with their environment enables cognitive activities like natural language communication and planning.

  • Ebiquity Research Laboratory

    Building intelligent systems in open, heterogeneous, dynamic, distributed environments.  Research topics include the semantic web, information extraction, mobile computing, privacy, and security.

  • ESNET – Embedded Systems and Networks Laboratory

    Design and management of wireless sensor networks, network architecture and protocols, underwater communication, MAC and routing protocols for ad-hoc and sensor networks, energy-aware system design, secure communication, fault tolerance, topology management, and applications of sensor and actuator networks.

  • IRAL – Interactive Robotics and Language Laboratory

    Research in robotics, human-robot interaction, and grounded language understanding, bringing together robotics, natural language processing, and statistical learning approaches to build advanced intelligent agents that can interact robustly with non-specialists.

  • MC2 – Multicore Computational Center

    Mission: to evolve to a leading national center in providing service-oriented computational solutions, employing multi-core technologies to optimize problems in the fields of environmental and geophysical sciences, chemical, aerospace, defense, bio-medical informatics, financial, and event-driven simulations and visualizations.

  • UCYBR – UMBC Center for Cybersecurity

    The UMBC Center for Cybersecurity is an interdisciplinary university center that unifies UMBC’s many cybersecurity capabilities. It provides both Maryland and the nation with academic and research leadership, collaboration, innovation, and outreach in this critical discipline by streamlining our academic, research, workforce development, and technology incubation activities to advance UMBC’s position as a leading research university in cybersecurity-related disciplines.

  • VANGOGH – Visualization, Animation, Non-Photorealistic Graphics, Object Modeling, and Graphics Hardware

    Research on data visualization techniques, haptic systems, animation, non-photorealistic graphics, object modeling, and graphics hardware.

Computer Engineering

  • EEHPC – Energy Efficient High-Performance Computing Lab

    The design and implementation of various high-speed and high-performance systems that are highly energy efficient. The research spans across multiple levels of abstraction ranging from innovative new process technologies and circuit styles to architectures, algorithms, and software technologies

  • ESNET – Embedded Systems and Networks Laboratory

    Design and management of wireless sensor networks, network architecture and protocols, underwater communication, MAC and routing protocols for ad-hoc and sensor networks, energy-aware system design, secure communication, fault tolerance, topology management, and applications of sensor and actuator networks.

Electrical Engineering

  • CSPL – Communications and Signal Processing Laboratory

    Solving problems in communications and signal processing, including iterative decoded codes for wireless and optical fiber communications, joint-domain techniques for signal representation and analysis, and adaptive importance-sampling for estimating the probabilities of very rare events in coded and uncoded communication systems.

  • Computational Photonics Laboratory

    Solitons in optical fibers, high-data-rate optical fiber communications, optical fiber lasers, photonic crystal fibers, randomly varying birefringence in optical fibers, polarization mode dispersion, and other polarization effects, recirculating loop experiments, network testbeds, fiber amplifiers, receiver characterization, and modeling, nonlinearity and noise, dispersion management and alternative formats, wavelength division multiplexing, signal processing, and coding, and biasing monte carlo simulations.

  • MLSP-Lab – Machine Learning for Signal Processing Laboratory

    The focus of MLSP-Lab is the development of theory and tools for processing signals that arise in today’s growing array of different applications. These signals require nonlinear, usually adaptive and/or online processing, and can be non-Gaussian and non-stationary. Current applications under study include medical image analysis—particularly functional and structural MRI and EEG—multi-modal data fusion, video processing, and communications.

Teaching Laboratories

Departmental laboratories are well-equipped and support the research activities of faculty and students. They include a CAIBE facility; Laboratory of Computational Photonics; a MOCVD lab; the DIODE Laser Lab; the Computer Graphics, Animation, and Visualization Lab; the Security Technology Research Group; the Maryland Center For Telecommunications Research (MCTR); the Communications and Signal Processing Lab; the Information Technology Lab; the Parallel Processing Lab; the Remote Sensing, Signal, and Image Processing Lab; the Laboratory for Information Systems Technology; and the Laboratory for Advanced Information Technology. The department is part of the University of Maryland Institute of Advanced Computer Science.