Current GICL Research Projects

  Research Prospectus for William C. Regli:
Dr. Regliís research focuses on fundamental computational issues of geometric computing, artificial intelligence planning, and knowledge representation as found in multidisciplinary problems from engineering, design and manufacturing.

Three interrelated areas are currently under study:



Design-for-Manufacture and Manufacturing Process Planning:
Enabling the ĎMAKE-ITí Button


This project addresses basic problems in the application of information technology to engineering:

  1. formalization of computer-interpretable representations of manufacturing process knowledge;
  2. development of algorithms that map design data to process knowledge;
  3. implementation of planning systems suitable for complex engineering domains; and
  4. creation of analysis and planning tools that improve engineering decision making, both for design and manufacturing engineers.
Sponsors for this research include the National Science Foundation (NSF grant ENG/DMI-9713718, joint with the University of Maryland at College Park) and Bridgeport Machines Incorporated.

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Engineering Knowledge Repositories:
Storage, Retrieval, and Reuse of Engineering Knowledge


Geometry, in the form of 3D solid models, is ubiquitous in a diverse array of fields including architecture, graphic arts, entertainment, medical informatics, computer-aided design, and engineering and manufacturing. In engineering, more than 75% of design activity comprises case-based design.
This research addresses the critical need for improved computational methods for:

  1. reasoning about complex geometric and engineering information and
  2. retrieval and reuse of this stored knowledge.
Sponsors for this research include the National Science Foundation (Knowledge and Distributed Intelligence (KDI) Initiative Grant KDI/SBR-9873005 and CAREER Award CISE/IRIS-9733545), the National Institute of Standards and Technology (NIST grant 60NANB7D0092), Structural Dynamics Research Corporation (SDRC), and Allied Signal Aerospace. Research includes joint work with Carnegie Mellon University and the University of Southern California.

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Network-Enabled Design and Manufacturing:
Convergence of Networks and Engineering


In 1996, US companies spent over $730 billion per year to operate design-manufacturing supply chains. It is estimated that collaborative engineering and supply-chain planning could have cut these costs by over $350 billion. This project focuses on the use of the Internet and advanced telephony technologies to develop new techniques and tools for collaborative design, supply chain management, and CSCW in engineering.

Sponsors for this research include the National Science Foundation (grants CISE/IIS-9873005 and CISE/CDA-9729827), American Telephone and Telegraph (AT&T), Bentley Systems Incorporated, Structural Dynamics Research Corporation (SDRC), and the State of Pennsylvania (joint with Carnegie Mellon University).

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Last Modified : July-99