Computer Engineering

Computer engineering is the only one of the eight research areas in which a student can receive a specialized undergraduate degree (BSCmpE). Undergraduate and graduate students study in three main sub-areas -- computer architecture, software systems, and intelligent systems. Graduate students may pursue studies that cross between the sub-areas and combine a variety of topics. The Computer Engineering Faculty have the following labs and project groups.

Computer Engineering Research Summary (OpenHouse 2015 presentation)

Computer Architecture

Computer Architecture Computer architecture is one of the core research areas in the computer area of ECE. The focus is on designing the next-generation processor architecture exploring speculative execution schemes and power saving technology. DSCL URL: Multimedia Lab URL:
Associated faculty:
Prof. Arif Ghafoor

Haptic Interface Research Lab (HIRL)

Haptics Chair HIRL is devoted to the investigation of the underlying principles for the design, development and evaluation of human-machine interfaces, with an emphasis on haptic interfaces. It is equipped with several unique equipment, including a real-time pressure-distribution measurement system, two force feedback devices, and several vibrotactile displays developed in-house. HELPS URL:
Associated faculty: Prof. Yung-Hsiang Lu

Internet Systems Lab (ISL)

Internet Systems Lab Our focus is on research related to the Internet and Distributed Systems. Our current research focuses on Cloud Computing. Specifically, we are looking at how best to architect interactive web-applications over geographically distributed data-centers, and how to partition functionality between smart-phones and the cloud. We are also looking at Software Defined Networking and Enterprise Network Configuration Management. In the past, we have conducted research in the areas of Peer to Peer Systems, and Internet video Content Distribution architectures. Our research has benefited by support from NSF, Cisco, AT&T, and Microsoft. Many of the challenges we address are motivated by real-world experience, require insights into operations of distributed systems at Internet scales, and can have substantial real world impact.
Associated faculty: Sanjay Rao

Machine Learning, Planning, and Reasoning

We study new methods for automating fundamental cognitive processes such as learning, planning, and reasoning. Our focus is on challenge problems for which previous artificial intelligence research has dramatically failed to produce human-level performance---for example, learning the meaning of words by seeing them used in context, or learning to play a new game better by playing it repeatedly. We actively examine the relationship between the machine's representation of the problem and its solution success. Our applied projects include work in the areas of branch prediction in computer architecture, control of computer networks, and anomaly detection in computer security.

Group URL:
Associated faculty: Prof. Robert Givan, Prof. Jeffrey Siskind

ParaMount Research Group

Paramount Research Group The ParaMount Research Group focuses on system software for high-performance computing, including: advanced compilation techniques, methodologies and tools for parallel programming, program characterization, benchmark evaluation and development, parallel and distributed computing concepts, and network computing. RVL URL:
Associated faculty: Prof. Avi Kak