Experience

QSS Group, Inc.

• IT Services and IT Consulting
• 1 - 100 Employee

• Scientist V

  • Apr 2002 - Jan 2007

  Support for the Intelligent Systems Project and Intelligent Systems Division (Code TI) at NASA Ames Research Center, which develop, autonomous robotics, automated data understanding, human-centered computing, and man-machine systems. Work included research portfolio documentation, news reporting, website design, and innovative database/CMS applications. See http://is.arc.nasa gov for some of my work.



Computists International

• United States
• Research Services

• Founder/Editor/Publisher

  • Apr 1991 - Aug 2001

  Published the Computists' Communique (TCC) [later the Computists' Weekly], an online newsletter and professional association for artificial intelligence researchers. The service included weekly technology and literature awareness supplements and weekly jobs supplements. Monthly summary columns were published in IEEE Intelligent Systems. Many of the CI members are now on LinkedIn.



National Science Foundation

• United States

• Program Director, Robotics and Machine Intelligence

  • Aug 1988 - Jul 1990

  Grant management in artificial intelligence and robotics. Managed a $5.9M program in AI dealing with the real world: speech recognition, computer vision, pattern analysis, and robotic reasoning. In touch with 2,000 computer scientists. Responsibile for 200 active grants and 400 other proposal actions, as well as program overviews, policy recommendations, panel administration, and on-site evaluations. I reshaped and documented the program, advised applicants, negotiated with other program… Show more Grant management in artificial intelligence and robotics. Managed a $5.9M program in AI dealing with the real world: speech recognition, computer vision, pattern analysis, and robotic reasoning. In touch with 2,000 computer scientists. Responsibile for 200 active grants and 400 other proposal actions, as well as program overviews, policy recommendations, panel administration, and on-site evaluations. I reshaped and documented the program, advised applicants, negotiated with other program directors, ran an experimental joint program with DARPA, and participated in panels and government caucuses. Show less



SRI International

• India
• Higher Education
• 1 - 100 Employee

• Computer Scientist

  • Jan 1981 - Jul 1988

  Computer vision research in image texture analysis and segmentation. I also created the AIList online discussion forum on Arpanet. This lasted five years and put me in touch with perhaps 10,000 students and researchers. I took care of everything from address list maintenance and submission editing to answering technical and philosophical questions. At SRI, I developed a state-of-the-art image segmentation, classification, and tracking system for textured or multispectral imagery; wrote… Show more Computer vision research in image texture analysis and segmentation. I also created the AIList online discussion forum on Arpanet. This lasted five years and put me in touch with perhaps 10,000 students and researchers. I took care of everything from address list maintenance and submission editing to answering technical and philosophical questions. At SRI, I developed a state-of-the-art image segmentation, classification, and tracking system for textured or multispectral imagery; wrote eight reports documenting and evaluating new software systems; assisted other AI and robotics researchers; consulted on SRI techmonitoring, business intelligence, and natural-language research panels; met monthly with SRI's TEAM news-analysis panel; and reviewed computer vision papers for journals. Show less



TASC

• United Kingdom
• Environmental Services
• 1 - 100 Employee

• Member of Technical Staff

  • 1979 - 1981

  Image processing and related survey reports and studies for the defense industry.



USC Image Processing Institute

• Graduate Research Assistant

  • 1976 - 1979

  Image analysis research. I developed a set of "texture energy" measures that were computationally efficient and yet more effective than co-occurrence measures that had ruled for nearly a decade. These have since found many applications, and have been generalized to wavelet-based texture measures.