Submit your cutting-edge research on biometric manipulation detection to
ADMA-2025 and contribute to advancing security against evolving threats.
ADMA-2025 is organized as a Special Session at the 2025 International Joint
Conference on Biomterics (IJCB), held in Oska, Japan between 8-11 September
2025. Accepted papers will be submitted for inclusion into IEEE Xplore, as
part of IJCB proceedings.
Paper submission deadline: July 10, 2025
More information: https://sites.google.com/view/ijcb-ss-adma-2025/home
Organizers: Abhijit Das, Raghavendra Ramachandra, Naser Damer, Vitomir Štruc
, Marija Ivanovska, Antitza Dantcheva
Best regards
Abhijit
------------------ --------------------- ---- --------------------
*Dr.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR
<https://appcair.com/applied-ai-faculty.html>
Lead Investigator, Machine Intelligence Group
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>
Assistant Professor.
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>
H112, Dept. of Computer Science and Information Systems,
BITS Pilani, Hyderabad Campus.
*Organising Chair:*
1st Workshop on Computer Vision for Biometrics, Identity and Behaviour
(CV4BIB 2025) at ICCV 2025.
ICRA'2025 Satellite event at BITS Hyderabad
*Competition Co-Chairs: *IEEE International Joint Conference on Biometrics
(IJCB 2026)
*Sponsorship** Co-Chairs: *6th Indian Symposium on Machine Learning (IndoML
2025)
*Contact no:* +914066303744 (O)
*Website: *https://sites.google.com/site/dasabhijit2048/home
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[image: Visit Hyderabad Campus]
Please see below for details of Postdoc and PhD positions at UNSW Sydney, Face Lab. The project team would be very grateful if you could forward the following positions to any people and/or lists with potential interest or potential for further distribution:
Two opportunities for joining a vibrant research team at UNSW Sydney
Both roles are jointly funded by the Australian Research Council and the Australian Passport Office (ARC Linkage Project grant: LP230201076). The postdoc is based at UNSW, Sydney but would be part of a project team including members of UNSW Face Lab (David White, Richard Kemp, James Dunn), University of Queensland (Alice Towler) and investigators from the Australian Passport Office.
Postdoc (3 years fixed term):
The postdoc will work within the UNSW Face Lab located in the School of Psychology at UNSW and is responsible for taking a leading role in a unique collaborative project with the Australian Passport Office. The project aims to improve face identity processing in applied settings by developing theoretical understanding of perceptual and cognitive processing in humans and AI.
There is significant potential for the post-doc to shape the direction of research of this collaborative project (UNSW, the University of Queensland and the Australian Passport Office).
More details and link to apply via:
https://external-careers.jobs.unsw.edu.au/cw/en/job/531079/research-associa…
Fully-funded PhD position (3.5 years)
The PhD project will be aligned to the overall aims of the Australian Research Council Linkage Project (LP230201076). The project team will develop more specific project proposals with applicants, and these can be adapted to reflect the interests of applicants. One potential topic that would be a good fit with the project is described in the advert:
https://www.unsw.edu.au/research/hdr/our-projects/metacognitive-abilities-i…
Please contact me directly at david.white(a)unsw.edu.au<mailto:david.white@unsw.edu.au> with any informal queries relating to these positions.
Best regards,
David
======================
David White
Scientia Associate Professor
School of Psychology
UNSW Sydney
tel. +61 (0) 2 9385 3254
twitter: @davidwhitephd
*Final Call for Papers (**no more extension**)*
I*CPR 2024: 2nd Workshop on- Call for Papers Fairness in Biometric Systems*
Biometric systems have spread worldwide and therefore have been
increasingly involved in critical decision-making processes, including
finances, public security, and forensics. Despite their increasing impact
on everybody’s daily life, many biometric solutions perform highly
divergent for different groups of individuals, as previous works have
shown. Consequently, the recognition performance of such systems is
significantly impacted by demographic and non-demographic attributes of
users. This brings to the fore discriminatory and unfair treatment of users
of such systems.
At the same time, several political regulations, such as Article 7 of the
Universal Declaration of Human Rights and Article 71 of the General Data
Protection Regulation (GDPR), have highlighted the importance of the right
to non-discrimination. These political efforts show the pertinent need for
analyzing and mitigating equability concerns in biometric systems. Given
the increasing impact on everybody’s daily life, as well as the associated
social interest, research on fairness in biometric solutions is urgently
needed.
This includes
• Developing and analyzing biometric datasets
• Proposing metrics related to equability in biometrics
• Demographic and non-demographic factors in
biometric systems
• Investigating and mitigating equability concerns
in biometric algorithms including
o Identity verification and identification
o Soft-biometric attribute estimation
o Presentation attack detection
o Template protection
o Biometric image generation
o Quality assessment
*Important Dates*
--------------------------------
Full Paper Submission: September 8, 2024
Acceptance Notice: September 20, 2024
Camera-Ready Paper: September 24, 2024
Workshop: December 01, 2024
*Call for Papers*
I*CPR 2024: 2nd Workshop on- Call for Papers Fairness in Biometric Systems*
Biometric systems have spread worldwide and therefore have been
increasingly involved in critical decision-making processes, including
finances, public security, and forensics. Despite their increasing impact
on everybody’s daily life, many biometric solutions perform highly
divergent for different groups of individuals, as previous works have
shown. Consequently, the recognition performance of such systems is
significantly impacted by demographic and non-demographic attributes of
users. This brings to the fore discriminatory and unfair treatment of users
of such systems.
At the same time, several political regulations, such as Article 7 of the
Universal Declaration of Human Rights and Article 71 of the General Data
Protection Regulation (GDPR), have highlighted the importance of the right
to non-discrimination. These political efforts show the pertinent need for
analyzing and mitigating equability concerns in biometric systems. Given
the increasing impact on everybody’s daily life, as well as the associated
social interest, research on fairness in biometric solutions is urgently
needed.
This includes
• Developing and analyzing biometric datasets
• Proposing metrics related to equability in biometrics
• Demographic and non-demographic factors in
biometric systems
• Investigating and mitigating equability concerns
in biometric algorithms including
o Identity verification and identification
o Soft-biometric attribute estimation
o Presentation attack detection
o Template protection
o Biometric image generation
o Quality assessment
*Important Dates*
--------------------------------
Full Paper Submission: September 1, 2024
Acceptance Notice: September 20, 2024
Camera-Ready Paper: September 24, 2024
Workshop: December 01, 2024
Best regards
Abhijit
------------------ --------------------- ---- --------------------
*Prof.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR
<https://appcair.com/applied-ai-faculty.html>
Machine Intelligence Group
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>Assistant
Professor.
Dept. of Computer Science and Information Systems,
BITS Pilani, Hyderabad Campus.
Contact no: +914066303744 (O)
Web: https://sites.google.com/site/dasabhijit2048/home
*▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄*
*Call for Papers*
I*CPR 2024: 2nd Workshop on Fairness in Biometric Systems*
Biometric systems have spread worldwide and therefore have been
increasingly involved in critical decision-making processes, including
finances, public security, and forensics. Despite their increasing impact
on everybody’s daily life, many biometric solutions perform highly
divergent for different groups of individuals, as previous works have
shown. Consequently, the recognition performance of such systems is
significantly impacted by demographic and non-demographic attributes of
users. This brings to the fore discriminatory and unfair treatment of users
of such systems.
At the same time, several political regulations, such as Article 7 of the
Universal Declaration of Human Rights and Article 71 of the General Data
Protection Regulation (GDPR), have highlighted the importance of the right
to non-discrimination. These political efforts show the pertinent need for
analyzing and mitigating equability concerns in biometric systems. Given
the increasing impact on everybody’s daily life, as well as the associated
social interest, research on fairness in biometric solutions is urgently
needed.
This includes
• Developing and analyzing biometric datasets
• Proposing metrics related to equability in biometrics
• Demographic and non-demographic factors in
biometric systems
• Investigating and mitigating equability concerns
in biometric algorithms including
o Identity verification and identification
o Soft-biometric attribute estimation
o Presentation attack detection
o Template protection
o Biometric image generation
o Quality assessment
Important Dates
Workshop: December 01, 2024
Full Paper Submission: August 12, 2024
Acceptance Notice: September 20, 2024
Camera-Ready Paper: September 24, 2024
A postdoctoral researcher position is available at the Objects and
Knowledge Laboratory, headed by Dr. Olivia Cheung, at NYU Abu Dhabi (
https://www.oliviacheunglab.org). The postdoctoral researcher will carry
out experiments on high-level vision (e.g., object, face, letter, scene
recognition) in humans using behavioral, fMRI, and computational methods.
Potential research projects include, but are not limited to, investigations
of the influences of experience and conceptual knowledge on visual
recognition.
Apply here: https://apply.interfolio.com/145342
Applicants must have a Ph.D. in Psychology, Cognitive Neuroscience,
Cognitive Science, or a related field, and should possess strong
programming skills (e.g., R, Matlab or Python) and a strong publication
record in topics of high-level vision. Prior experience with fMRI,
computational, or psychophysical techniques is highly preferred. Initial
appointment is for two years, with the possibility of renewal. The start
date is flexible, and the position is available from August 15, 2024.
The Objects and Knowledge Laboratory is part of the rapidly growing
expertise in Cognitive Neuroscience at NYU Abu Dhabi. The lab has access to
the state-of-the-art neuroimaging and behavioral facilities (including MRI,
MEG, EEG, eyetracking).
For consideration, applicants should submit a cover letter, curriculum
vita, statement of research interests, the expected date of availability,
and at least 2 letters of recommendation here
<https://apply.interfolio.com/145342>. Informal inquiries regarding the
position, university, or area, are encouraged. If you have any questions,
please email Dr. Olivia Cheung (olivia.cheung(a)nyu.edu). Applications will
be accepted immediately, and candidates will be considered until the
position is filled.
The terms of employment are very competitive, including relocation and
housing costs, and other benefits among which educational subsidies for
children. The NYU Abu Dhabi campus is located on Saadiyat Island (Abu
Dhabi’s cultural hub), minutes away from the white sand beaches as well as
the world class entertainment, big city and nature activities that have
made the area one of the top ten tourist destinations in the world. More
information about living in Abu Dhabi can be found here:
https://nyuad.nyu.edu/en/campus-life/living-in-abu-dhabi.html
*About NYUAD:*
NYU Abu Dhabi is a degree-granting research university with a fully
integrated liberal arts and science undergraduate program in the Arts,
Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU
New York, and NYU Shanghai, form the backbone of NYU’s global network
university, an interconnected network of portal campuses and academic
centers across six continents that enable seamless international mobility
of students and faculty in their pursuit of academic and scholarly
activity. This global university represents a transformative shift in
higher education, one in which the intellectual and creative endeavors of
academia are shaped and examined through an international and multicultural
perspective. As a major intellectual hub at the crossroads of the Arab
world, NYU Abu Dhabi serves as a center for scholarly thought, advanced
research, knowledge creation, and sharing, through its academic, research,
and creative activities.
Dear all
We’re excited to announce 2 x EPSRC-funded PhD Scholarships on CS+Psych projects hosted in the School of Psychology and Neuroscience in collaboration with the School of Computing Science at the University of Glasgow. Please share widely Deadline: 17 June
Project 1: The unconscious effect of physical beauty in human social interactions
The aim of the project is to investigate how "physical beauty" can bias the outcomes of social decisions (e.g. job interviews). To do this, we aim to create an algorithm able to transform the "physical beauty" of participants in real time and use that algorithm during negotiations to see how it influences social outcomes and non-verbal behavior. We are searching for a multidisciplinary candidate that is interested in real-time computer vision (e.g. voice/face transformation and analysis) as well as social cognition (e.g., social interactions, non-verbal data analysis, social biases).
Project description: https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/pab…
Project team members: Pablo Arias Sarah (primary supervisor), Alessandro Vinciarelli (co-supervisor), Mathieu Chollet (co-supervisor)
Questions? Contact: pablo.arias(a)glasgow.ac.uk<mailto:pablo.arias@glasgow.ac.uk>
Project 2: HIGH-FIDELITY 3D FACIAL RECONSTRUCTION FOR SOCIAL SIGNAL UNDERSTANDING
Human faces convey a wealth of rich social and emotional information—for example, facial expressions often convey our internal emotion states while the shape, colour, and texture of faces can betray our age, sex, and ethnicity. As a highly salient source of social information, human faces are integral to shaping social communication and interactions. The faces in the video can be viewed as a temporal sequence of facial images with intrinsic dynamic changes. Establishing correlations between faces in different frames is important for tracking and reconstructing faces from videos. Jointly modelling fine facial geometry and appearance in a data-driven manner enables the model to learn the relationship between a single 2D face image and the corresponding 3D face model and thus reconstruct its high-quality 3D face model by leveraging the high capacity of deep neural networks. This project is to investigate computational methods for high-fidelity 3D facial tracking on videos for social signal analysis in social interaction scenarios. It involves developing computational models for reconstruction of 3D facial details capturing geometric facial expression changes and analysing social signals.
Project description: https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/hui…
Project team members: Hui Yu (primary supervisor), Rachael Jack (co-supervisor), Tanaya Guha (co-supervisor)
Question? Contact : Hui.Yu(a)glasgow.ac.uk<mailto:Hui.Yu@glasgow.ac.uk>
Prof. Rachael E. Jack, Ph.D.
Professor of Computational Social Cognition
School of Psychology & Neuroscience
University of Glasgow
Scotland, G12 8QB
+44 (0) 141 330 5087
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