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Azim Gisou E Eskandarian

age ~63

from Blacksburg, VA

Also known as:
  • Azim Gisou Eskandarian
  • Azih Eskandarian
  • Azim Deckard
  • Azim M
  • Azim N
Phone and address:
602 Jefferson St, Blacksburg, VA 24060
703 851-6557

Azim Eskandarian Phones & Addresses

  • 602 Jefferson St, Blacksburg, VA 24060 • 703 851-6557
  • 11579 Shore Rd, Reston, VA 20190 • 703 834-1174
  • 10901 Woodleaf Ln, Great Falls, VA 22066 • 703 404-1111
  • York, PA
  • Ashburn, VA
  • Arlington, VA
  • 10901 Woodleaf Ln, Great Falls, VA 22066 • 703 851-6557

Work

  • Position:
    Executive, Administrative, and Managerial Occupations

Education

  • Degree:
    Graduate or professional degree

Emails

Name / Title
Company / Classification
Phones & Addresses
Azim Eskandarian
Director
The George Washington University
University · Advisory Board · College · College/University
2121 Interstate St NW, Washington, DC 20052
202 994-6255, 202 994-8610, 202 994-6460, 202 994-6710

Isbn (Books And Publications)

  • Meshless Methods In Solid Mechanics

    view source
  • Author:
    Azim Eskandarian
  • ISBN #:
    0387307362

Us Patents

  • Unobtrusive Driver Drowsiness Detection System And Method

    view source
  • US Patent:
    20100109881, May 6, 2010
  • Filed:
    Nov 5, 2009
  • Appl. No.:
    12/613306
  • Inventors:
    Azim Eskandarian - Great Falls VA, US
    Ali Mortazavi - Walnut Creek CA, US
  • International Classification:
    G08B 23/00
  • US Classification:
    340575, 340576
  • Abstract:
    A drowsiness detection system and method uses Empirical Mode Decomposition (EMD) signal processing to detect whether a vehicle driver is drowsy. The system uses a decomposed component of the steering wheel signal to extract specific features representing the steering control degradation phases. The system classifies the measured features into alert or drowsy state. The detection system is independent of the road geometry and automatically compensates steering control performance variability between drivers. The system is accurate in detecting the drowsy periods and drowsy-related lane departures. The detection system is unobtrusive and can be applied on-line.

Youtube

Azim Eskandarian

81 iranian traditional music (sonnati)

  • Category:
    Music
  • Uploaded:
    31 Jan, 2007
  • Duration:
    4m 27s

Step inside the new lab of Azim Eskandarian

Learn more about the Autonomous Systems and Intelligent Machines Labor...

  • Duration:
    2m 6s

Professor Azim Eskandarian

Azim Eskandarian is a professor in both the Department of Civil and En...

  • Duration:
    3m 14s

GW Expert Series: Azim Eskandarian

This series of video advertisements has been designed to highlight the...

  • Duration:
    1m 39s

Address to Hokie Graduates: Azim Eskandarian,...

  • Duration:
    1m 17s

ASME DSCD Dynamic Systems and Control Divisio...

Prof. Azim Eskandarian is Nicholas and Rebecca des Champs Professor an...

  • Duration:
    29m 12s

Address to 2021 Hokie Engineering Graduates: ...

  • Duration:
    1m 21s

Autonomous and Connected Vehicle Safety CCAT...

Professor Azim Eskandarian joins the final CCAT event of the year to d...

  • Duration:
    1h 45s

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