Second Workshop on Interdisciplinary Applications of Biometrics and Identity Science

Biometric recognition generally involves person identification or identity verification using well-known biometric modalities, such as face, fingerprint, and voice. Researchers in the field investigate and develop novel biometric datasets, data collection methodologies, sensors, feature extraction approaches, and matching models (e.g., machine or deep learning techniques) to enhance accuracy, reduce misidentification errors, improve data quality, and fuse multimodal data sources. Beyond these core technical advances, recent applications in fields like medical sciences, mental health, and transportation have demonstrated the potential of biometrics to drive interdisciplinary innovation. For example, biometric technologies have been used to monitor changes in behavioral outcomes following interventions or to detect physical or psychological states. These applications highlight the unique value of biometrics as a specialized tool within broader interdisciplinary contexts, where biometric-specific processes—such as identity-focused sensing, multimodal biometric signal correlation, or domain-specific customization of recognition algorithms—are tailored to address challenges beyond traditional person identification.

The Second Workshop on Interdisciplinary Applications of Biometrics and Identity Science (InterID 2025) builds on the success of InterID 2023, held at the 17th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2023) in Waikoloa, Hawaii, with the theme Biometric Innovation for Social Good. InterID 2025 invites papers exploring how biometric technologies can address critical societal challenges, such as disaster response, migration and refugee support, healthcare accessibility, and public health monitoring. To align with this theme, submissions are also encouraged to examine the design of biometric systems that prioritize usability, accessibility, and ethical considerations, ensuring these technologies are developed with the end-user in mind. In this spirit, the InterID workshop aims to achieve transdisciplinary impacts that move beyond traditional person recognition and identity verification research; push the boundaries of biometrics and identity science (BIS) by creating new standards and use cases for broader application; and foster the widespread adoption of BIS technologies to help resolve pressing societal challenges.

Call for Papers

InterID 2025 invites researchers from a variety of fields—biometrics, affective computing, human-computer interaction, brain-computer interfaces, physical and digital health, behavioral sciences, cybersecurity, and more—to explore innovative applications of BIS technologies in addressing societal challenges. The workshop seeks paper submissions on the following topics:

  • Interdisciplinary applications of BIS in non-technical fields (e.g., arts, humanities, social sciences, behavioral and community sciences, business, education, public health, medicine, sustainability, etc.)
  • BIS technologies applied to social good, such as public services, public health, mental health, disaster response, migration, community well-being, etc.
  • Human-centered design principles in the development of BIS technologies
  • Multimodal biometric sensing and recognition for diverse, real-world applications (e.g., healthcare, transportation, security)
  • Data fusion and inter-correlation of multimodal biometric data for effective decision-making in interdisciplinary contexts
  • Case studies of BIS applications that integrate social, ethical, and technical dimensions
  • User acceptance, trust, and privacy concerns related to BIS applications in sensitive environments (e.g., healthcare, education, and public services)
  • Ethical, societal, and legal implications of BIS technologies, including issues of bias, fairness, inclusivity, and accessibility
  • Security and privacy challenges in the deployment of BIS systems in real-time, everyday contexts
  • Real-time biometric sensing and identity verification for autonomous systems and connected environments
  • Exploring the role of BIS in behavioral prediction and intervention
  • Applications of BIS in personalized services and user-centered experiences in digital and physical spaces
  • The impact of BIS on vulnerable populations, including considerations for equity and access
  • Human-in-the-loop approaches for real-time decision-making and feedback in BIS systems

All submissions will be reviewed by the InterID 2025 program committee. Recommendation of accepted papers will be determined by the workshop organizers based on relevance to the workshop and overall potential to contribute to discussion.

InterID 2025 invites long and short paper submissions, following the FG 2025 paper submission guidelines:

  1. Submissions to InterID 2025 should have no substantial overlap with any other paper already submitted or published.
  2. All persons who have made any substantial contribution to the work should be listed as authors.
  3. Papers will be included in the IEEE Xplore digital library.
  4. At least one author will register for the conference and attend the workshop to present the paper.
  5. The reviewing process will be double-blind.
  6. Papers must include an Ethical Impact Statement.

Important Dates

  • Submission deadline: April 9, 2025
  • Acceptance notification: April 23, 2025
  • Camera-ready deadline: May 2, 2025
Submission Link: Authors should use the FG 2025 CMT3 submission portal to submit their InterID 2025 workshop papers. Please select "Second Workshop on Interdisciplinary Applications of Biometrics and Identity Science" when creating a new submission.

Workshop Schedule

InterID 2025 will be held at the 19th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2025) in Clearwater, FL USA. The tentative workshop schedule is as follows:

Time (EST) Activity
8:45AM - 9:00AM Welcome
9:00AM - 10:00AM Keynote Speaker
10:00AM - 11:00AM Workshop Paper Presentations
11:00AM - 11:15AM Break
11:15AM - 12:15AM Workshop Paper Presentations
12:15PM - 12:30PM Closing Remarks

Keynote Speaker

Adam Czajka, Ph.D.

From Cradle to Grave Biometrics: Forensic Iris Recognition
Abstract: Hollywood's favorite biometric attack often involves an eye plucked from its socket and presented on a stick to an iris camera. But... can this attack actually succeed in reality? Can we use iris patterns to recognize humans after death? And if so, how long after death is this possible? Looking at the other end of life: can we apply iris recognition for newborns? Can we learn from human experts to develop iris recognition and presentation attack detection methods that generalize well to unseen data? Can we synthesize realistically-looking irises of non-existent identities and condition these models with specific anomalies to assist forensic experts in their work? Join Adam on a fascinating biometric journey that starts at birth and ends after death. Along the way, we'll try to find answers to the above questions, supported by the latest research advancements in forensic iris recognition.

About Dr. Czajka: Adam Czajka is an Associate Professor in the Department of Computer Science and Engineering at the University of Notre Dame, and the Director of the AI Trust and Reliability (AITAR) Lab, with over 25 years of professional experience in biometrics, security, and machine learning. His primary research interests focus on the reliability of biometric recognition, recently emphasizing modern artificial intelligence methods. Czajka is generally fascinated by a wide range of research in computer vision and machine learning, as well as the non-obvious intersections with psychology, medical sciences, and art, which often involve high-risk but high-reward outcomes. His research has been funded by the US National Science Foundation (NSF CAREER award), US Department of Defense, US National Institute of Justice, FBI Biometric Center of Excellence, NIST, IARPA, US Army, European Commission, Polish Ministry of Higher Education, and various companies.

Organizers and Technical Committee

Organizers

  • Tempestt Neal, Ph.D., Associate Professor, Department of Computer Science and Engineering, University of South Florida, USA
  • Patrick Flynn, Ph.D., Fritz Duda Family Professor of Engineering, Dept. of Computer Science and Engineering, University of Notre Dame, USA
  • Shaun Canavan, Ph.D., Associate Professor, Department of Computer Science and Engineering, University of South Florida, USA

Technical Committee

First Name Last Name Organization
Alam Noor CISTER Research Center
Albert Ali Salah Utrecht University
Alessandro Lameiras Koerich École de technologie supérieure
Alexey Novikov Jumio AI Labs Montreal
Aman Bhatta University of Notre Dame
Anirudh Nanduri University of Maryland
Askat Kuzdeuov Nazarbayev University
Benjamin Sporrer University of Notre Dame
Gabriella Pangelinan Florida Institute of Technology
Guy Laban University of Cambridge
HAO YU Boston University
Huining Liang University of Delaware
Itir Onal Ertugrul Utrecht University
Jin Huang University of Notre Dame
Jingzhe Ma Southern University of Science and Technology
Monica Perusquia-Hernandez Nara Institute of Science and Technology
Nicolò Di Domenico University of Bologna
Olivier Lézoray University of Caen Normandy
Pallabi Ghosh University of Florida
Patricio Xavier Moreno-Vallejo ESPOL Polytechnic University
Peihao Xiang Florida International University
Prarinya Siritanawan Shinshu University
Qingxiong Tan Department of Computer Science, Hong Kong Baptist University
Qucheng Peng University of Central Florida
Rachael Jack University of Glasgow
Ronald Poppe Utrecht University
Samiran Das Indian Institute of Science Education and Research Bhopal
Satoshi Suzuki NTT Computer and Data Science Laboratories / The University of   Electro-Communications
Sayde King University of South Florida
Shaikh Akib Shahriyar Rochester Institute of Technology
Shota Orihashi NTT Corporation
Sicong Chen Syracuse University
Takuma Amada NEC Corporation
Trisha Mittal Dolby Laboratories
Yassine Ouzar Université de Lille
Yasutomo Kawanishi RIKEN
Youngmoon Lee Hanyang University
Zahid Akhtar State University of New York Polytechnic Institute
Zhaoyang Wang Johns Hopkins University
Zitong Yu Great Bay University

For more information, contact Tempestt Neal at tjneal@usf.edu.