We bring together world-class faculty, students, and partners to advance power, energy, and semiconductor technologies across foundational science, engineering, and systems integration. Our research spans from materials and devices to intelligent systems and secure infrastructure, driving innovation that transforms how the world powers technology, moves energy, and protects critical systems.
IC Design
Research in analog, mixed-signal, and digital integrated circuit design for power conversion, sensing, and interface systems, from concept through silicon validation.
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Power Electronics Packaging
Advanced packaging approaches for high-performance power devices and modules, with emphasis on thermal management, reliability, and system integration for automotive, aerospace, and grid applications.
Semiconductor Devices
Research in device physics, modeling, fabrication, and design for next-generation power and energy semiconductors, including wide bandgap materials such as silicon carbide.
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Power Electronic Circuits
Design and optimization of converters, motor drives, and high-efficiency circuits for electrified transportation, renewable energy systems, and distributed power applications.
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Controls
Development of control methods for power electronics, energy systems, and grid interfacing, focusing on stability, performance, and operation under uncertainty.
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Design Automation
Algorithms and software tools that automate circuit and system design, verification, and optimization for large-scale power and energy applications.
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Power Systems
Research in grid resilience, renewable energy integration, microgrids, energy management, and stability of modern electric power infrastructure.
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Cybersecurity
Security strategies for protecting power electronics, embedded systems, and power grid infrastructure from cyber threats and vulnerabilities.
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Materials
Investigation of novel materials, material processing, and characterization techniques to improve performance and reliability of electronic and power devices.
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Machine Learning/AI
Application of machine learning and artificial intelligence for modeling, optimization, fault detection, and autonomous control across power and semiconductor systems.
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