Pawel Drozdowski defended his PhD thesis ‚Efficient privacy-preserving biometric identification in large-scale multibiometric systems‘

Pawel Drozdowski successfully defended his Ph.D. thesis with the title „Efficient privacy-preserving biometric identification in large-scale multibiometric systems“ on May 6th 2020. The thesis defence was conducted digitally. The examining committee members were Prof. Dr. Vitomir Štruc (University of Ljubljana), Prof. Dr. Hugo Proença (University of Beira Interior), and Prof. Dr. Sule Yildirim Yayilgan (Norwegian University of Science and Technology). The thesis was carried out at the Department of Information Security and Communication Technology at Norwegian University of Science and Technology; it was supervised by Prof. Dr. Christoph Busch (Norwegian University of Science and Technology and Hochschule Darmstadt) and Dr. Christian Rathgeb (Hochschule Darmstadt).

Pawel and the assessment comittee during his defence via Zoom.

Following his defence, Pawel continues his employment at Hochschule Darmstadt, working on the „Next Generation Biometric Systems“ mission in the context of National Research Center for Applied Cybersecurity ATHENE.

Short abstract:

Nowadays, biometrics find application as an integral component of identity management systems. The recent rapid growth of size and popularity of such systems has prompted research into technologies which support efficient, secure, and accurate processing of large amounts of biometric data. The goal of this thesis is development of computationally efficient algorithms and data structures specifically for biometric identification (1:N search). The methods proposed in the thesis facilitate real-time search queries on large biometric datasets, while simultaneously assuring biometric data protection and incorporating multi-biometric information fusion.

The electronic version of the thesis is available here: https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2650398

Pawel Drozdowski defended his PhD thesis ‚Efficient privacy-preserving biometric identification in large-scale multibiometric systems‘