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The opinions, findings, and conclusions or recommendations expressed are those of the Center author(s) and do not necessarily reflect the views of the National Science Foundation.

Center Overview

The Center for Identification Technology Research (CITeR) addresses research challenges related to securing individual identity in a global society with a focus on automated biometric recognition and credibility assessment. CITeR’s mission is to advance the state of the art in human identification capabilities through coordinated university research, working in partnership with the U.S. government and industry stakeholders.

CITeR achieves this mission through research in emerging enabling technologies; interdisciplinary training of scientists and engineers; and facilitation of technology transfer to the private and government sectors.

CITeR researchers focus on biometric vulnerabilities and intelligence; biometrics and related identification technology and systems; and traditional and soft biometrics, fusion, cryptography, and mobile applications.


  • West Virginia University
  • Clarkson University
  • University at Buffalo
  • Michigan State University
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Center Personnel

Arun Ross


Dr. Arun Ross
CITeR, Michigan State Site Director

Dr. Nasser Nasrabadi
CITeR, West Virginia University Site Co-Director

Dr. Venu Govindaraju
CITeR, University at Buffalo Site Director

Laura Holsopple
CITeR Managing Director

Dr. Matthew Valenti
CITeR, West Virginia University Site Director

Srirangaraj Setlur
CITeR, University at Buffalo Co-Director

Dr. Stephanie Schuckers
CITeR Director

Venugopal Govindaraju


Dr. Sébastien Marcel
CITeR, IDIAP Site Director
+41 27 721 77 27

Research Focus

CITeR’s research portfolio advances the understanding of biometrics and credibility assessment that is central to realizing the next-generation identification management systems necessary for private sector and government applications. Research areas include:

  • Activity analysis in human networks.
  • Automated credibility assessment (video- and audio-based, textual).
  • Biometric fusion and multibiometric systems.
  • Biometric modalities (face, fingerprints, ocular, voice, gait, DNA).
  • Camera sensor networks.
  • Fusion of diverse information sources.
  • Novel biometric modalities.
  • Performance evaluation.
  • Sociolegal and policy frameworks.
  • Surveillance applications and human identification in challenging environments.
  • System-level design and evaluation.
  • Vulnerability assessment and reduction.