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Fiscal 1994 Project Portfolio Report





Collaborative Research (CR)

Emil Sarpa, Manager
emil.sarpa@Eng.Sun.COM

Overall Objective

To contribute to Sun's competitive advantage through collaborative research and joint investigations that result in the exchange of technology and knowledge between the academic and scientific research communities and Sun's product groups.

Description

Collaborative Research is the joint investigation between Sun and an external organization with significant and continuous interaction. CR is important to Sun because participation can extend our internal engineering resources and lead to the early introduction of technically advanced products. The ingredients for successful collaborative research include: technical sponsors in both engineering and research groups; resources; a workstation loaner pool to seed new activities; and defined deliverables and performance criteria.

To help Sun engineering and external groups in establishing collaborative research activities, we:

  • Identify external and internal projects
  • Identify appropriate technical sponsors
  • Assist the technical sponsor in developing milestones and deliverables
  • Negotiate agreements
  • Administer delivery of resources
  • Coordinate with sales/marketing
  • Evaluate progress
  • Manage the process and assist in disseminating results to a wide audience at Sun

Accomplishments

Current university collaborations sponsored by various Sun organizations include:

University of Washington, Brown University, SuperComputer Research Center at the University of Maryland, Lawrence Berkeley Labs at the University of California Berkeley, University College London, MIT, Technion (Israel), Seoul National University, University of Arizona, Georgia Technology University, Institute for Research on Learning Palo Alto, University of Geneva, and Stanford University.

Collaborative projects include:

Three-Dimensional Interactive Graphics, ATM Research, Teleconferencing and Multimedia, Pen-Based Computing, Human Interface Research, Video-Based Learning/Training, Speech Recognition, and Internet Delivery.


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