Computer engineering research spans a wide spectrum of topics, from fast signal processing algorithms and integrated circuits to software systems and applications. Computer architecture of various computing systems is the key to improving the performance, cost-effectiveness, and energy efficiency of computing systems.
The computer engineering faculty conduct collaborative, multidisciplinary projects that allow students and other participants to engage in practically motivated, state-of-the-art research problems. There is an intense focus on industrial relevance and on the impact of emerging technologies on the direction of our field.
Computer Engineering faculty are conducting active research in a number of exciting fields, including embedded system design, image processing, mobile computing, sensor/ad hoc network design, internet security, middleware, pattern recognition, robotics. Their research is supported by the National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), the Office of Naval Research (ONR), the Air Force Office of Scientific Research (AFOSR), the Pennsylvania Infrastructure Technology Alliance, and others.
Computer Engineering Activities:
- Interconnection Networks
- Cognitive Radio and Multitier Networks
- Computer Architecture
- Fast Signal Processing Algorithms
- Multi-dimensional Signal Processing Algorithms
- Parallel Computing
- Nanoelectronic Computing Systems
- Security and Privacy in Networks
- VLSI Design and Implementation of Communication and Signal Processing Systems
Computer Engineering Faculty:
- Prof. Rick Blum
- Prof. Xiaochen Guo
- Prof. Shalinee Kishore
- Prof. Parv Venkitasubramaniam
- Prof. Wujie Wen
- Prof. Zhiyuan Yan
- Prof. Y. Rosa Zheng
Affiliated Research:
- Integrated Networks for Electricity Cluster
- High Performance Computing Cluster
- Computer Architecture Lab
- SPCRL (Signal Process and Communnications Research Lab)
- VADER Lab (Vision, Assistive Devices and Experimental Robotics)
- WiNS Lab (Wireless Infrastructure and Network Security)
- WUME Lab (Web Understanding, Modeling, and Evaluation)
- Institute for Data, Interlligent Systems, and Computation (I-DISC)