Task Order 4 Program Review

ATR Development for CT-Based EDS (Task Order 4) Program Review

November 6, 2014, Northeastern University, Boston

Task Order 4, funded by DHS, set as a goal to involve groups other than incumbent security vendors to develop automated threat recognition (ATR) algorithms that improve the performance of explosives detection equipment for aviation security applications.  An additional goal is to make scan data and models available in the public domain.

As Task Order 4 comes to a close, we will be holding a program review to discuss its results.

Participants attending this event will be able to engage directly with the researchers who are advancing the state-of-the-art in security algorithms as well as with other key parties within the EDS domain. In addition, attendees will learn more about the ATR research results of the program and future efforts in this area.

Click Here to View the Latest Agenda


ALERT was tasked by DHS to run a series of workshops to involve third parties in algorithm development. These workshops, of which there have been ten since spring 2009, are known by their acronym, ADSA (Advanced Development for Security Applications). The participants at the first ADSA workshop agreed that CT-based explosives detection equipment could be improved with advanced ATR algorithms. The participants also indicated that improved ATR algorithms for aviation security could be developed using scans of non-threats, which are denoted objects of interest, on medical CT scanners, leading to scanner data and models that would be in the public domain.

ALERT, with funding from DHS, created in 2013 the ATR initiative in which research groups were provided scans of objects of interest on medical scanners. The researchers have been developing ATR algorithms for the past approximately twelve months and will be presenting their algorithms at the review. In addition, a review of their algorithms will be presented by experts in the field, who will review the new ATR algorithms in advance of the meeting. The program review will address the applicability of the ATR algorithms to certified explosives detection equipment and review steps for continuing their research.

Program Review Information

This fall’s Task Order 4 Program Review will take place on Thursday, November 6th, from 8:00am – 5:30pm.  Check-in will start at 7:30am.

The Program Review will be held in conjunction with the ADSA11 Workshop, which will be held November 4 – 5.  Click here for more information on the ADSA11 Workshop!

Location: Northeastern University, Raytheon Room, Egan Research Center, Boston, MA (Street Address: 120 Forsyth Street, Boston, MA 02115)

Map: The Egan Research Center is #60 on the Northeastern Campus Map.

Participants: By invitation only

Registration has been closed.


Hotel Room Blocks have been reserved at the following two Boston hotels for both the ADSA11 and Program Review, for the nights of November 3rd, 4th and 5th.  Booking information and rates are listed below:

The Colonnade Hotel: Room block group code: “NU ALERT ADSA11”. Room block rate: $275/night + tax. Please note: the room block will expire on October 13th, 2014.  To book a room at The Colonnade Hotel, please visit their website here, or call (617) 424-700.

Inn at Longwood Medical: Room block group code: “ADSA1114”. Room block rate: $209/night + tax. Please note: the room block will expire on October 10th, 2014.   To book a room at the Inn at Longwood, please visit their website here, or call (617) 731-4700.

Directions and Parking

  • Closest NU Garage: Gainsborough Parking Garage (GPG on the campus map), located at 10 Gainsborough Street, Boston.
  • Additional NU Parking: Renaissance Parking Garage (RPG on the campus map), located at 835 Columbus Avenue, Boston.

Campus Map: https://www.northeastern.edu/campusmap/printable/campusmap.pdf

Parking will be validated – please remember to bring your garage ticket with you to the workshop.

ATR Development for CT-Based EDS (Task Order 4) Program Review

Thursday, November 6, 2014 in the Raytheon Room, Egan Research Center, Northeastern University, Boston, MA.

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