The post The 52nd issue of the the IEEE Biometrics Council Newsletter is out! appeared first on IEEE Biometrics Council.

Deadline: March 1, 2025

Nominations are invited for the “IEEE Biometrics Council Meritorious Service Award” to honor outstanding service in the field of biometrics. The award is administered by the IEEE Biometrics Council Award Committee, which is responsible for reviewing and recommending candidates to the IEEE Biometrics Council Executive Committee. This award will be presented at IJCB 2025.

Any current IEEE member of the member societies of the Biometrics Council who has been active in the fields of interest of the IEEE Biometrics Council for more than fifteen years is eligible. For a list of member societies see the Society Representatives section at https://ieee-biometrics.org/index.php/homepage/committees. Current officers of the Biometric Council’s Executive Committee are ineligible. Self-nominations are not permitted. A qualified nominator should be at least a senior member of the IEEE and the Biometric Council. A nomination should include the following information: (i) nominee’s name, address and contact details, (ii) nominator name and contact details, (iii) URL of nominee’s website with bio and CV, (iv) URL of nominee’s Google Scholar citations, (v) two-page statement summarizing the nominee’s service activities, (vi) names of three references willing to write supporting letters. The supporting letters should be sent by the endorsers directly to the Awards Committee Chair in accordance with the instructions in the Meritorious Service Reference Letter template. The awardee will receive a plaque and $1,000 honorarium. Templates are available for the nominations and reference letters.

Nominations are accepted till March 1, 2025.

Templates:

• Meritorious Service Nomination Form [PDF] [DOC]
• Meritorious Service Reference Letter [PDF] [DOC]

In case of any questions, please contact the Awards Committee Chair, Dr. P. Jonathon Phillips at biometrics.council.awards@gmail.com or VP Technical Activities, Prof. Vitomir Štruc at vitomir.struc@fe.uni-lj.si

IEEE Biometrics Council Leadership Award

Deadline: March 1, 2025.

Nominations are invited for the “IEEE Biometrics Council Leadership Award” to recognize outstanding leadership in the field of Biometrics. The award is administered by the IEEE Biometrics Council Award Committee, which is responsible for reviewing and recommending candidates to the IEEE Biometrics Council Executive Committee. This award will be presented at IJCB 2025.

Any current IEEE member of the member societies of the Biometrics Council who has been active in the fields of interest of the IEEE Biometrics Council for more than fifteen years is eligible. For a list of member societies see the Society Representatives section here: https://ieee-biometrics.org/index.php/homepage/committees. Current officers of the Biometric Council’s Executive Committee are ineligible. A qualified nominator should be at least a senior member of the IEEE and the Biometrics Council. Self-nominations are not permitted. A nomination

should include the following information: (i) nominee’s name, address and contact details, (ii) nominator name and contact details, (iii) URL of nominee’s website with bio and detailed CV, (iv) URL of nominee’s Google scholar citations, (v) a two-page statement summarizing the nominee’s leadership activities, (vi) names of three references willing to write supporting letters. The supporting letters should be sent by the endorsers directly to the Awards Committee Chair in accordance with the instructions in the Leadership Reference Letter templates. The awardee will receive a plaque and $2,000 honorarium. Templates are available for the nominations and reference letters.

Nominations are accepted till March 1, 2025.

Templates:

• Leadership Nomination Form [PDF] [DOC]
• Leadership Reference Letter [PDF] [DOC]

In case of any questions, please contact the Award Committee Chair, Dr. P. Jonathon Phillips at biometrics.council.awards@gmail.com or VP Technical Activities, Prof. Vitomir Štruc at vitomir.struc@fe.uni-lj.si

IEEE Biometrics Council Best Doctoral Dissertation Award

Deadline: March 1, 2025

To express recognition of and to promote outstanding effort and contributions in a doctoral dissertation in the field of interest to the IEEE Biometrics Council, the IEEE Biometrics Council Best Doctoral Dissertation Award was established in 2019. Any current member of IEEE is eligible to be nominated for this award. The nomination should originate from the nominee’s dissertation advisor. An advisor can nominate only one dissertation per year. Self-nominations are not permitted. The nomination should be within one year after the successful defense date. The dissertation can be written in any language. However, to be eligible for nomination, an English language version must be provided. The award includes a USD 1,000 honorarium and a commemorative plaque. The following materials are required to be submitted by the nominator:

1. A nomination letter from the advisor of the student including the following information:

a. nominee information including name, affiliation, and email address
b. the date and outcome of the thesis defense
c. the technical contributions of the thesis and a summary of how the field of biometrics has been advanced by the thesis work
d. the broader societal and economic impact of the thesis work
e. quality of writing and organization of the material in the thesis
f. any additional justification about why the nominee deserves this award
g. statement that the nominee is a current member of the IEEE.

2. A letter from the University/Institution showing the successful defense date.

3. The nominated Dissertation in English and the nominated Dissertation in its original language (if other than English).

4. Other information that will be useful for the evaluation of the dissertation, if any.

Templates:

• Best Doctoral Dissertation Nomination Form [PDF][DOC]

In case of any questions, please contact the Award Committee Chair, Dr. P. Jonathon Phillips at biometrics.council.awards@gmail.com or VP Technical Activities, Prof. Vitomir Štruc at vitomir.struc@fe.uni-lj.si

T-BIOM Best Paper Award Nominations

Deadline: March 1, 2025

This award is to recognize on a yearly basis a highly influential and impacting article published at IEEE Transactions on Biometrics Behavior and Identity Science (TBIOM) in the preceding two calendar years.

Any paper published in the 2023 or 2024 issues of T-BIOM is eligible for nominations. Nominations are solicited through Editorial Board members of T-BIOM. Please see more details on the eligibility, nomination process, and basis for judging on pages 7-8 of the award document.

Nominations are accepted till March 1, 2025.

• TBIOM Best Paper Nomination Form [PDF][DOC]

T-BIOM Best Student Paper Award Nominations

Deadline: March 1, 2025

This award is to recognize on a yearly basis a highly influential and impacting article published at IEEE Transactions on Biometrics Behavior and Identity Science (TBIOM) in the preceding two calendar years.

Any paper published in the 2023 or 2024 issues of T-BIOM is eligible for nominations. Nominations are solicited through Editorial Board members of T-BIOM. Please see more details on the eligibility, nomination process, and basis for judging on pages 9-10 of the award document.

Nominations are accepted till March 1, 2025.

• TBIOM Best Student Paper Nomination Form [PDF][DOC]

The post 2025 Award Nominations Open! appeared first on IEEE Biometrics Council.

Deadline: January 15, 2025

Nominations are invited for the IEEE Biometrics Council Distinguished Lecturer under recently adopted DLP charter (PDF). These nominations will be for 3-year term and begin from 1st January 2025. Biometrics council distinguished lecturers are nominated by following council members: Fellow members, Chapter chairs, TC chairs, EiCs, and AdCom/ExCom members.

The nomination package should include the Completed Nomination Form which addresses the DLP selection criteria as stated in section III/1 of the charter.

The nominator should send the nomination to Shiqi Yu (yusq@sustech.edu.cn) by December 15, 2024.

DLP Chair

Deadline:  January 15, 2025

IEEE Biometrics Council has adopted a new charter for the Distinguished Lecturer Program (PDF) in 2021. We therefore seek nominations for the DLP Chair from the interested candidates, from the IEEE member societies of the biometrics council. Suitable candidates should be preferably an IEEE Fellow and with reputed standing in the community. The DLP chair serves for one full term of three years and is central to the operation of the DLP program of the IEEE Biometrics Council.

The nominator should send the nomination to Shiqi Yu (yusq@sustech.edu.cn)  by December 15, 2024. This nomination should include a short bio of the candidate for this post.

The post Call For Nominations: DLP Chair & Distinguished Lecturers appeared first on IEEE Biometrics Council.

******************************************************************************************
CALL FOR PAPERS

IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) Special Issue on 
Generative AI and Large Vision-Language Models for Biometrics

Submission Deadline: 31 May 2025
Targeted Publication: Q1 2026

Paper submission: https://ieee.atyponrex.com/journal/tbiom

******************************************************************************************

*** Motivation ***

In the rapidly advancing field of artificial intelligence, generative AI and large-scale 
vision-language models are becoming key areas of interest, revolutionizing numerous 
research fields, including natural language processing and computer vision. Generative 
AI models are designed and trained to approximate the underlying distribution of a dataset, 
enabling the generation of new samples that reflect the patterns and regularities within 
the training data. Among the various types of generative models, such as Generative 
Adversarial Networks (GANs), Variational Autoencoders (VAEs), flow-based, autoregressive, 
and diffusion models, GANs and diffusion models have gained significant attention and are 
widely applied to tasks such as image synthesis, image manipulation, text generation, and 
speech synthesis. These models have shown remarkable success in modeling and interpreting 
the probability distributions of real-world data. Vision-language models, on the other 
hand, integrate visual and textual data, learning to associate these modalities to 
enhance understanding and enable multimodal reasoning-based applications.
 
The advancements in generative AI and vision-language models (LVMs) are also making a 
significant impact on biometrics, offering new possibilities for addressing longstanding 
challenges. Generative AI, with its ability to synthesize highly realistic data, has the 
potential to address privacy concerns related to collecting, sharing, and using sensitive 
biometric data. This synthetic data can also be used to increase diversity and variation 
in training datasets through augmentation, thus improving model generalizability and 
reducing potential bias induced by imbalanced training data. At the same time, large 
vision-language models offer the capability to process and understand multimodal 
information by combining visual features with contextual data, such as semantic insights 
from natural language. Furthermore, large-scale vision-language models can be optimized 
for downstream tasks, such as template extraction, using zero or few-shot learning 
approaches, making them highly versatile for biometric applications.
 
Although generative AI and vision-language models offer a rich set of tools that can be 
utilized to address challenges in biometrics, the misuse of these technologies presents 
a threat to the field. Generative AI models have the ability to incorporate conditions 
in the generation process to take control over the generated samples. This enables a wide 
range of applications such as image-to-image translation, text-to-image synthesis, and 
style transfer. However, this capability also allows for creating deepfake attacks, 
e.g., images, videos, and audio that are indistinguishable or nearly indistinguishable 
from real content. The increased realism and widespread public accessibility of generative 
AI have raised concerns about the potential misuse of this technology for malicious 
purposes. This highlights the need for solutions to detect generated AI content and 
mitigate the potential misuse of generative AI models.

The proposed TBIOM special issue will provide a platform to discuss the latest 
advancements and technical achievements related to Generative AI and Large 
vision-language models when applied to problems in biometrics. 

The topics of interest of the special issue include, but are not limited to:

+ Novel generative AI models for responsible synthesis of biometric data
+ Novel generative models for conditional data synthesis
+ Biometrics interpretability and explainability through large language-vision models
+ Few-shot learning from large language-vision models
+ Generative AI and LVMs for detecting attacks on biometrics systems
+ Generative AI-based image restoration
+ Information leakage of synthetic data
+ Data factories and label generation for biometric models
+ Quality assessment of AI generated data
+ Synthetic data for data augmentation
+ Detection of generated AI contents
+ Bias mitigation using synthetic data
+ LLMs and VLMs for biometrics 
+ Watermarking AI generated content 
+ New synthetic datasets and performance benchmarks
+ Security and privacy issues regarding the use of generative AI methods for biometrics
+ Ethical considerations regarding the use of generative AI methods for biometrics
+ Parameter efficient fine-tuning of VLMs for biometrics applications 


*** Important Dates ***

Submission deadline:					  	31 May 2025
First round of reviews completed (first decision): 		August 2025 
Second round of reviews completed 				October 2025
Final papers due						December 2025
Publication date: 						Q1 2026


*** Paper Submission ***

Papers should be submitted through the TBIOM submission portal before the deadline using
the TBIOM journal templates: https://ieee.atyponrex.com/journal/tbiom and selecting the 
article type: "Generative AI and Large Vision-Language Models for Biometrics".   


*** Guest Editors: ***

+ Fadi Boutros, Fraunhofer IGD, Germany
+ Hu Han, Institute of Computing Technology, Chinese Academy of Sciences (CAS), China
+ Tempestt Neal, University of South Florida, United States
+ Vishal M. Patel, Johns Hopkins University, United States
+ Vitomir Štruc, University of Ljubljana, Slovenia
+ Yunhong Wang, Beihang University, China

The post Call for Papers: IEEE TBIOM Special Issue on “Generative AI and Large Vision-Language Models for Biometrics” appeared first on IEEE Biometrics Council.

Listen as Dr. Terence Sim, an Associate Professor at the National University of Singapore (NUS), discusses the art of crafting compelling research papers. With his extensive background in Biometrics and Computer Vision, Dr. Sim will share invaluable insights on avoiding common mistakes and enhancing the key sections of your papers, such as the Title and Introduction. This webinar is perfect for graduate students writing their first paper, though all researchers looking to refine their writing skills are welcome to join.

Register for free here: https://us06web.zoom.us/webinar/register/WN_ZPYFN0VTRdObat4LmrewUw

The post Upcoming Webinar: Power Papers – Some Practical Pointers appeared first on IEEE Biometrics Council.