AI and ML for robotics, automated planning, game theory, speech recognition, data visualization, rule-based expert systems, logic programs and virtual reality.
How to reach us
The Institute for Systems Research and the Maryland Robotics Center welcome the interest of reporters, editors, and producers.
Our primary media contact is:
Director, Public Relations and Information Management
Our faculty experts can speak on a wide range of subjects, including:
AI, ML, Computer Science
Control, Optimization, and Modeling
Control systems and methodologies, control theory, optimization theory, biologically inspired control, robotics and robotic network control.
Batteries, power electronics, renewable energy systems, energy harvesting, plug-in hybrid electric vehicles, more electric aircraft, more data-centers, pyroelectric systems, solar PV converters, smart grid technologies, energy markets
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.
Communications, Networks, Security
Communication networks, hardware, information theory and security
Neuroscience and Computational Biology
Auditory cortex signal processing; brain development and plasticity; sensorimotor integration; neuromechanical systems; speech recognition; neuromorphic sensors, control and VLSI; computational neuroscience; cell-based sensors.
Operations Research and Decision Making
Decision making, operations research, transportation science, supply chain and revenue management, network reliability and optimization.
Robotics and Autonomy
Bio-inspired robots; medical robots; collaborative, cooperative and networked robots; robotics for extreme environments; unmanned air and water vehicles; AI and computer vision for robots.
Systems Engineering and Engineering Design
Model-based systems engineering, integration, cyber-physical systems, analysis and control of stochastic systems, Markov decision processes, discrete event and hybrid systems, network optimization and management. Engineering design that incorporates machine learning.
Clark School of Engineering resources
Assistant Dean for Communications
Melissa L. Andreychek
Associate Director of Communications
Facts and Figures
Clark School Faculty Directory (with searchable areas of expertise)
University of Maryland Resources for the Media
UMD Media Policy and FAQs