Computer Engineering

Computer engineering - chip on a finger 
Computer Engineering - VLSI

Computer architecture/VLSI is a bridge area that ties the implementation hardware (devices, circuits, VLSI) with the system (compilers, operating systems) and application software and networks, and as such lies at the heart of Computer Engineering. Researchers in this area work not only in core computer architecture, but also investigate crosscutting architectural issues arising from interactions with the underlying hardware, software, and network. Research contributions may be in the form of new theories, novel design methods backed by simulation, or related to the creation of computational artifacts (modeling, simulation tools, software environments, etc.). Students specializing in Computer Architecture/VLSI at Michigan State University will acquire the broad background necessary to contribute effectively to the design and implementation of computer architectures that meet application functional requirements as well as cost, power, performance, and reliability goals.

Graduate program coursework at the M.S. and Ph.D. levels is taken in both the Electrical and Computer Engineering (ECE) and Computer Science and Engineering (CSE) Departments. Courses focus on advanced computer architecture, digital electronic circuit and VLSI design, contemporary computer-aided design tools and methodologies, design of systems using embedded processors, design of system-on-a-chip, fault-tolerance, design, test and packaging of application-specific integrated circuits, hardware/software co-design, algorithms, compilers, operating systems, networks, parallel computing, and other specialized courses.

Computer Engineering Researchers:

Subir Biswas, Shantanu Chakrabartty, Erik Goodman, Nihar Mahapatra, Andrew Mason, Jian Ren, Fathi Salem, Michael Shanblatt, Gregory Wierzba

Related Websites:

Adaptive Integrated Microsystems (Chakrabartty)
Advanced MicroSystems and Circuits Research Group (Mason)
Advanced Circuits, Architecture, and Computing (Mahapatra)
Circuits, Systems and Artificial Neural Networks (Salem)
Genetic Algorithms Research & Applications Group (GARAGe - Goodman)
Networked Embedded and Wireless Systems (NEEWS - Biswas)