Coopération

Séminaires


< retour aux séminaires

LEVITAN (Dr Steven P.), Univ. of Pittsburgh

Theme: CAD Tools and Modeling Challenges for Optoelectronic Systems
Date: Vendredi 15 décembre

Biography

Steven P. LEVITAN is the John A. JURENKO Professor of Electrical Engineering at the University of Pittsburgh. He received the B.S. degree from Case Western Reserve University in 1972. From 1972 to 1977 he worked for Xylogic Systems designing hardware for computerized text processing systems. He received his M.S. (1979) and Ph.D. (1984), both in Computer Science, from the University of Massachusetts, Amherst. He is an Associate Editor for the ACM Transactions on Design Automation of Electronic Systems. In 1998 he became Chair of the ACM Special Interest Group on Design Automation and a member of the Design Automation Conference Executive Committee. He is member of OSA, ACM and a senior member of IEEE/CS. He is on sabbatical year at TIMA.

Abstract

The confluence of "system on a chip" (SoC) integration levels with new micro-scale optical, optoelectronic and electromechanical components has enabled the fabrication of an entirely new class of systems: micro-optical electrical mechanical systems, called MOEMS or OMEMS. These mixed technology micro-systems have the potential of drastically reducing the size and cost of digital communications and computation systems. Some examples of these systems are: digital micro-mirror device projection systems, tunable vertical cavity surface emitting laser arrays, high speed optical network switches, and optical disc pickup heads. As these applications are quickly evolving from abstract ideas to marketable products, it is essential to have extensible mixed-technology system level CAD tools to model these systems, in order to avoid costly prototyping. In this growing field, technologies are constantly advancing, and CAD tools must be flexible in their ability to model and simulate new multi-domain components and systems. This talk presents the challenges for CAD tools to meet the needs of OMEMS system design and highlights our research into tools that support the design of these micro-scale mixed technology systems.