Automated planning; game theory; speech recognition; data visualization; rule-based expert systems; logic programs; artificial intelligence.
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The Institute for Systems Research and the Maryland Robotics Center welcome the interest of reporters, editors, and producers.
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Rebecca Copeland
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(301) 405-6602
rebeccac@umd.edu
Our faculty experts can speak on a wide range of subjects, including:
Computer science and AI
Control
Control theory, control systems, control methodology, optimization theory, biologically inspired control. Robotics and robotic network control, communication in networked control systems.
Energy
Batteries, power electronics, renewable energy systems, energy harvesting, plug-in hybrid electric vehicles, more electric aircraft, more data-centers, pyroelectric systems, solar PV converters and other smart grid technologies
Information theory
Information, coding, theory, security, and energy harvesting.
Micro and nanosystems
MEMS sensors and actuators; nanofabrication materials, processes and devices; labs-on-a-chip; small-scale energy generation, storage and harvesting; microsystem medical devices and treatments; trust and security for nano-scale devices.
Networks
Energy-efficient networks, wireless networks, sensor networks, communication networks, application-driven networks, cross-layer network design and performance analysis, web science and social networks.
Neuroscience
Auditory neural signal processing; brain mapping; brain development and plasticity; sensorimotor integration; neuromechanical systems; speech recognition, production and enhancement; neuromorphic-based robotics control and VLSI design; computational neuroscience; biological cell-based sensor systems; signal processing in biological systems.
Operations research
General and aviation operations research; product realization; supply chain and revenue management; product design.
Robotics
Medical robotics; miniature robotics; collaborative, cooperative, networked robotics; robotics for extreme environments; unmanned vehicles.
Systems engineering
Model-based systems engineering methodologies; systems engineering and integration; cyber-physical systems; analysis and control of stochastic systems; Markov decision processes; discrete event and hybrid systems; network optimization and management.
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Assistant Director of Communications
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mandreyc@umd.edu
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Engineering and science beat
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