Pratt School of Engineering

Architecture & Networking

Research in computer architecture and networking focuses on architecting next generation computer systems that will be high-performance, reliable, self-healing, and even self assembled. Furthermore, we are networking these computers over the wired and wireless media to realize a future in which information will be available anytime, anywhere.

Some active research topics in our labs are as follows:

  • Fault-tolerance and dependability in computer architectures
  • Reliability, modeling and performance analysis
  • DNA guided self-assembly
  • Real-time and embedded systems
  • Wireless Networking protocol design and implementation
  • Mobile Computing and Applications.

Groups & Labs

Computer Achitecture Group

Duke Self-Assembled Systems Group

Systems Networking Research Group (SyNRG)

Trivedi Lab

Core Faculty

John Board, Associate Professor and Associate Chair, specializes in high performance scientific computing and simulation, novel computer architectures, cluster computing and parallel processing; ubiquitous computing

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.

Romit Roy Choudhury, Nortel Networks Assistant Professor, specializes in wireless networking, mobile computing, and distributed systems. He focuses on analysing, designing, and implementing protocols for wireles multihop networks, such as mesh networks, sensor networks, and vehicular networks.

Daniel Sorin, Associate Professor, specializes in dependability of computer architectures, and novel, low-cost mechanisms for comprehensive error detection, fault diagnosis, and reconfiguration in response to faults.

Kishor Trivedi, Hudson Professor of Electrical and Computer Engineering, specializes in advances in modeling techniques; performance, reliability and dependability modeling of applications; and development and dissemination of modeling tools.