Research
The Charles L. Brown Department of Electrical and Computer Engineering is well-known for its world-class photonics and high frequency diodes. Our faculty lead cutting-edge research in ultra low-power chip design. We are proud of our long-standing tradition in computer engineering, medical imaging, signals and systems, and machine learning research.
Our Research
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Materials
We fabricate and characterize a range of materials including ferroelectric, oxides, III-V thin-films, 2D layered materials and nanostructured ingots. The structural and transport characterizations enable materials integration in novel electronic, thermal or optical devices.
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Devices and Circuits
We excel in the design of THz devices and circuits, microelectromechanical components, super-conducting materials, and beyond-CMOS electronics.
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Photonics
We lead in photodetector research on high-speed, high-power photodiodes and low noise avalanche photodiodes. We also have a rising program in microresonators and modeling and fabrication of photonic integrated circuits. Laser applications enable improved performance of photonic devices.
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Cyber-physical Systems, Control and Robotics
Our strengths in adaptive and nonlinear control, assured autonomy, and dependable and secure computing lead the way in developing a wide range of resilient robotic and cyber-physical systems, including active magnetic bearings, micro-grids, aerial, ground and underwater vehicles, medical devices, and surgical robots.
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Hardware of AI and IoT
Our applications-driven research in IoT systems emphasizes self-powered systems, leveraging energy-efficient, sub-threshold circuit design. Our research on in-memory processing, integrated system design, and advanced materials aims to address computational challenges arising in AI and optimization.
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Machine Learning, Signal & Image Processing, and Communications
We specialize in the theoretical foundations of signal processing, communications and machine learning, as well as a wide range of applications including biomedical image analysis, intelligent and secure networks, social computing and emerging data storage technologies.
