Terry Hartmann | Vice President (Asia Pacific)

Terry Hartmann, Vice President (Asia Pacific), Cognitec

Terry leads the business for Cognitec (the face recognition company) in Asia Pacific.  He is an internationally recognized authority in the identity industry, and led the global government effort post 9/11 to design and publish international standards for electronic passports and biometrics recognition.  His opinion, insight and counsel is regularly sought by government and commercial organizations the world over, and he has spoken at around 100 conferences on identity and security matters. Terry served for 10 years on the Board of Directors for the Biometrics Institute. 
Terry lived in the USA from 2008-2016 and led Industry Applications worldwide for global systems integrator Unisys.  He also led the pursuit teams that won several major projects including Mexico National ID (the world’s first multi-modal iris/finger/face biometrics national ID project); UK Passports Face Biometrics project; and Passport, Border and Drivers Licence solutions for the Australian Government.  In 2015-16 he led the North American Transportation business for the company covering Airport, Passenger and Cargo solutions.
In 2013, Terry received the ID World “ID LEADERSHIP AWARD” assigned to outstanding members of the ID Community who have distinguished themselves during the previous 12 months for commitment, leadership, creativity and innovation. 
Terry has a bachelor’s degree from the Australian National University, specializing in honors-level Computer Science and Pure Maths.


Identity Week Asia Day 1 @ 14:50

Why is biometrics in the future of healthcare & not in the present?

There are a plethora of opportunities that come to mind for the use of biometrics in the Healthcare industry, yet it is one of the slowest industries to uptake. Hear about some of the things that are happening and not happening, andwhy.

Identity Week Asia Day 2 @ 14:30

Analyzing face recognition contemporary myths

Lately there has been lots of discussion around face recognition topics such as accuracy, gender bias and racial bias. What might be true in certain contexts, and what might be misinformation?
last published: 07/Oct/19 05:05 GMT

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