Biological, Medical, and Biomedical
Research in this area deals with the application of electrical engineering principles and tools in understanding biology.
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Communications
Research in this area deals with the application of electrical engineering principles and tools in understanding biology as well as developing hardware and software to diagnose, prevent, and treat medical conditions.
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Computer Engineering
Computer Engineering deals with the design, development, testing, and evaluation of components, systems, and networks. Research strives to acheive higher performance in systems and components.
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Control Systems
Control is about automation and intelligence. Control engineers design the algorithms and software that give systems agility and balance, as well as the ability to adapt, learn and discover when confronted with uncertainty.
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Electromagnetics and Energy Conversion
Electromechanical energy conversion is the cornerstone for the analysis of electromechanical motion devices.
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Integrated Circuits and Systems
Integrated Circuits and Systems deals with integrated realization of complex functions on small chips. Current research in this area includes analog, digital, and mixed-signal integrated circuits.
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Networks
Design, analysis, and evaluation of algorithms and protocols for scalable network communications between all kinds of devices, from personal and computer communications to the internet of things.
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Nanotechnology & Micro Electrical-Mechanical Systems
MEMS covers many non-electromechanical systems such as thin film technologies.
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Parallel and Distributed Computing
Parallel and distributed computing has been a key technology for research and industrial innovation, and its importance continues to grow.
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Photonics and Quantum Electronics
Photonics and quantum Electronics covers topic areas such as Adaptive Optoelectronic Eyes, Analog Photodetectors, Fiber Optics, and Geometrical Optics.
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Quantum Information Processing
Research in Quantum information processing studies the potential use of quantum mechanical systems–individual atoms and nanoscale solid state devices–for information-processing.
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Signal and Image Processing
Research at the USC Signal and Image Processing group has been in areas such as image processing and compression, computational imaging, fuzzy logic and artificial neural networks.
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