Meet Our Researchers

The Team Behind Keystroke Dynamics Biometrics Research

Our Research Team

Our interdisciplinary team combines expertise in industrial engineering, computer science, and machine learning to advance the field of behavioral biometrics through keystroke dynamics research.

Jacqueline Bruce-Blake, Principal Researcher

Jacqueline Bruce-Blake

Principal Researcher, PhD Student

Jacqueline Bruce-Blake leads our keystroke dynamics research team at Binghamton University, where she is pursuing her PhD in System Science and Industrial Engineering. Her pioneering work focuses on developing novel methods for identifying individuals through their unique typing patterns using advanced machine learning techniques.

With a background in both computer science, Complexity and the interdisciplinary field of System Science. Jacqueline brings a unique approach to biometric authentication research with over 20 years experience in IT systems development and analysis. Her work has been instrumental in developing new frameworks for continuous authentication in digital environments.

Research Interests:

  • Behavioral biometrics and continuous authentication systems
  • Unsupervised machine learning for pattern recognition
  • Cybersecurity and user identity verification
  • Human-computer interaction
  • Privacy-preserving authentication methods
📧 jblake3@binghamton.edu
🔗 LinkedIn Profile
Hiroki Sayama, D.Sc., Faculty Advisor

Dr. Hiroki Sayama

Executive Assistant Dean for Graduate Studies, Thomas J. Watson College of Engineering and Applied Science

Dr.Sayama is a SUNY Distinguished Professor, School of Systems Science and Industrial Engineering Director, Binghamton Center of Complex Systems (CoCo) Director, Graduate Program in Systems Science Director, Advanced Graduate Certificate Program in Complex Systems Science and Engineering Binghamton University, State University of New York. With over 25 years of experience in Complexity Science and System Science, Dr. Sayama has published extensively on behavioral biometrics and their applications in security systems.

His collaborative approach to research has fostered partnerships with industry leaders in Complexity science and Artificial Intelligence, leading to practical implementations of the team's theoretical work in real-world authentication systems.

Research Interests:

  • Artificial Life
  • Complexity science
  • machine learning
📧 sayama@binghamton.edu
🔗 Google Scholar Profile