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:
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:
InterID 2025 will be held at the 19th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2025) in Clearwater, FL USA on May 30, 2025. The workshop schedule is as follows:
Time (EST) | Activity |
---|---|
1:20PM – 1:30PM | Welcome |
1:30PM – 2:00PM | Keynote Speaker - Dr. Michael King "False Matches, Real Consequences: Reimagining Face Recognition for a Just Future" |
Workshop Paper Presentations – Session I | |
2:00PM – 2:15PM | GestDoor: Gesture-Based User Authentication for Door Entries Utilizing Wearable IMUs Mohamed Ebraheem, Tempestt Neal |
2:15PM – 2:30PM | Peepers and Pixels: Human Recognition Accuracy on Low Resolution Faces Xavier Merino, Gabriella Pangelinan, Samuel Langborgh, Michael King, Kevin Bowyer |
2:30PM – 2:45PM | Tiny Faces, Big Trouble: Evaluating Super-Resolution for Face Recognition Xavier Merino, Gabriella Pangelinan, Samuel Langborgh, Michael King |
2:45PM – 2:55PM | Coffee Break |
2:55PM – 3:25PM | Keynote Speaker - Dr. Adam Czajka "From Cradle to Grave Biometrics: Forensic Iris Recognition" |
Workshop Paper Presentations – Session II | |
3:25PM – 3:40PM | Context-Based Screening of Autism Risk in Children Rupal Agarwal, Heather Agazzi, Shaun Canavan |
3:40PM – 3:55PM | Family Resemblance or Fraud? Face Morphing Attacks on Kinship Verification Gargi Surendra Yeole, Aarthi S, Shalvika Srivastav, Akshay Agarwal |
3:55PM – 4:10PM | Fusion of Face and Ear Biometrics for Robust Child Recognition: Insights into Age-Dependent Recognition Trends Afzal Hossain, Stephanie Schuckers |
4:10PM – 4:20PM | Coffee Break |
Workshop Paper Presentations – Session III | |
4:20PM – 4:35PM | Toward Real-Time BCI Authentication for Enhanced Security in Collaborative Systems Tyree Lewis, Tempestt Neal, Marvin Andujar |
4:35PM – 4:50PM | Exploring Vision-Based Features for Detecting Deception in Well-Being: A Cross-Domain Comparison Sayde King, Tempestt Neal |
4:50PM – 5:00PM | Closing Remarks and InterID Best Paper Award |
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.
Despite significant advances, face recognition (FR) technology suffers from critical gaps—particularly under operational conditions where image quality degrades, demographic differentials emerge, and adversarial manipulations threaten system integrity. These technical limitations are not mere statistical artifacts; they have real-world consequences, from wrongful arrests to missed investigative opportunities. Drawing on empirical research and case studies, this keynote highlights three central challenges: the degradation of performance under poor imaging conditions, the need for consistent and representative evaluation protocols, and the vulnerabilities introduced by generative AI.
In this talk, I will propose a vision for building FR systems that are both operationally robust and ethically grounded. Protecting the vulnerable and empowering investigative work requires better algorithms and new standards for deployment and governance. By reimagining face recognition with transparency, fairness, and accountability at its core, we can move toward systems that are not just more accurate but also more just.
About Dr. King: Michael King is an Associate Professor in the Department of Electrical Engineering and Computer Science, and a Research Scientist for the L3-Harris Institute for Assured Information at the Florida Institute of Technology, and has served in this role since August 2015. Before joining academia, Dr. King served fourteen years as a scientific research/program management professional in the United States Intelligence Community. While in government, Dr. King created and managed research portfolios covering various topics related to biometrics and identity. He crafted and successfully led the Intelligence Advanced Research Projects Activity’s Biometric Exploitation Science and Technology Program to transition technology deliverables to over 40 Government organizations. As a subject matter expert in biometrics and identity intelligence, Dr. King has been invited to brief the Director of National Intelligence, Congressional staffers and science advisers, the Defense Science Board, the Army Science Board, and the Intelligence Science Board. Also, he served as the Intelligence Community Department Lead to the White House Office of Science and Technology Policy's (OSTP) National Science and Technology Council Subcommittee (NSTC) on Biometrics and Identity Management. Dr. King received his Ph.D. in Electrical Engineering from North Carolina Agricultural and Technical State University.
First Name | Last Name | Organization |
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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 |