NSF Org:	EIA DIVISION OF EXPERIMENTAL & INTEG ACTIVIT
Recipient:	RENSSELAER POLYTECHNIC INSTITUTE
Initial Amendment Date:	November 18, 1988
Latest Amendment Date:	April 15, 1993
Award Number:	8805910
Award Instrument:	Continuing Grant
Program Manager:	John Cherniavsky EIA  DIVISION OF EXPERIMENTAL & INTEG ACTIVIT CSE  Directorate for Computer and Information Science and Engineering
Start Date:	October 15, 1988
End Date:	September 30, 1994 (Estimated)
Total Intended Award Amount:	$2,015,105.00
Total Awarded Amount to Date:	$2,015,105.00
Funds Obligated to Date:	FY 1989 = $822,512.00 FY 1990 = $303,004.00 FY 1991 = $422,995.00 FY 1992 = $284,061.00 FY 1993 = $182,533.00
History of Investigator:	Joseph Flaherty (Principal Investigator) flaherje@cs.rpi.edu James Modestino (Co-Principal Investigator)
Recipient Sponsored Research Office:	Rensselaer Polytechnic Institute 110 8TH ST TROY NY  US  12180-3590 (518)276-6000
Sponsor Congressional District:	20
Primary Place of Performance:	DATA NOT AVAILABLE
Primary Place of Performance Congressional District:
Unique Entity Identifier (UEI):	U5WBFKEBLMX3
Parent UEI:
NSF Program(s):	CISE RESEARCH INFRASTRUCTURE, SPECIAL PROGRAMS-RESERVE
Primary Program Source:	app-0193
Program Reference Code(s):	2887, 9145, 9218
Program Element Code(s):	288500, 914500
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070

ABSTRACT

This award is aiding in the establishment, enhancement and operation of a modern laboratory facility to support experimental work in two major areas, viz. image processing and development of computing environments for mathematical applications. The project in image processing includes work in image coding, image restoration and enhancement, digital filtering, texture modeling and discrimination, image interpretation, computer vision and applications of neural networks to image understanding. The goal of the second project is the development of a software environment in which natural scientists and engineers can solve problems in an efficient and convenient manner. It involves bringing together state-of-the-art computational tools including high- level graphical programming environments, languages and compilers that automatically detect vector and parallel structures, software for the automatic solution of differential equations, parallel linear algebra packages, integrated computer algebra systems, an environment for performing graph theoretic operations, and programming laboratories and libraries of frequently-used procedures and notions. The project is based on ongoing work at Rensselaer in each of the above areas and will utilize a large-scale scientific computer, several high-performance graphics workstations, some Lisp environment/symbolic computation machines, AI workstations and necessary peripheral equipment.

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