Pratt School of Engineering

Circuits & Systems

This research focuses on the behavior, integration and testing of components in both digital and analog circuits and systems. We leverage the properties of emerging technologies to deliver new capabilities in mixed-signal, RF,and digital applications and in many cases seek to exploit new phenomena at the nanoscale.

Some active research topics in our labs are as follows:
  • Modeling, simulation and optimization of composite nano-to-micro systems
  • Mixed-signal and RF circuit testing and diagnosis
  • VLSI circuit design and testing
  • RFID
  • Integrated optoelectronic platforms
  • Nanoscale circuit and system design and modeling

Groups & Labs

Duke Self-Assembled Systems Group

The Home Depot Smart Home @Duke

Integrated Nano and Micro Systems

Ultra Mixed Signal Lab

Core Faculty

Martin Brooke, Associate Professor, specializes in developing new analog and mixed signal integrated circuits for unconventional applications. His research is characterized by collaborative multi-investigator programs, resulting in significant hardware demonstrators.

Krishnendu Chakrabarty, Professor, specializes in the design and testing of nanometer integrated circuits, design of digital microfluidic biochips, circuits and computing systems based on emerging technologies, and wireless/sensor networks.

Chris Dwyer, Assistant Professor, specializes in DNA self-assembly, nanoscale circuit modeling and fabrication, and computer architecture.

Nan Marie Jokerst, J.A. Jones Professor, specializes in integrated nanosystems and microsystems with an emphasis on photonic integration for sensing and telecommunications systems.

Hisham Massoud, Professor, specializes in MOS ultrathin gate dielectrics, device physics, modeling, simulation, and characterization. He is currently interested in near-limit CMOS performance and nanoelectronic device simulation.

Matt Reynolds, Assistant Professor, specializes in RFID and its application to robotics and human-computer interaction, ultra low power sensing and computation, parasitic power, and smart materials, surfaces, and spaces.