[visionlist] [IEEE Biometrics Council]: Free Webinar by Dr. Tempestt Neal on Qualitative Methods for Biometrics Research

[Vitomir Štruc]

*** FREE ONLINE WEBINAR on Qualitative Methods for Biometrics Research ***

The IEEE Biometrics Council invites participants to the upcoming (free) 
webinar by Prof. Tempestt Neal on "Qualitative Methods for Biometrics 
Research". Detail on the webinar are given below:

Title: Qualitative Methods for Biometrics Research: Exploring User 
Behavior and System Design
Speaker: Prof. Tempestt Neal, University of South Florida, USA
When: 14 November 2024, at 1pm ET (7 pm CET)
Where: Online (Zoom)
Registration: (free, but required): 
https://us06web.zoom.us/webinar/register/WN_-iyWaOA1Tpmx9r6CQU2t0g

*** Talk Summary ***
Qualitative research is a method of inquiry aimed at gaining a deep 
understanding of social phenomena by relying on individuals’ direct 
experiences. Unlike quantitative research, which seeks to quantify 
variables and analyze numerical data, qualitative research emphasizes 
the exploration of complex, subjective experiences, meanings, and social 
dynamics. Qualitative exploration can greatly enhance the field of 
biometrics by offering deep insights into complex issues like bias in 
biometric systems and user acceptability. These methods allow for a more 
detailed understanding of how these systems are perceived and 
experienced, which is crucial for addressing ethical concerns and 
improving overall effectiveness. This webinar aims to provide biometrics 
researchers with a foundational understanding of qualitative research 
methods and their applicability to the field.

*** About the Speaker ***
Tempestt Neal is an Associate Professor of Computer Science and 
Engineering at the University of South Florida. She leads the Cyber 
Identity and Behavior Research (CIBeR) Lab, which primarily conducts 
quantitative and qualitative research on mobile-based sensing for 
biometrics and human behavior understanding in interdisciplinary 
applications, as well as cybersecurity awareness among populations 
historically underrepresented in Science and Engineering. The lab’s 
research also spans natural language processing, mostly including the 
study of linguistic cues as a cognitive biometric trait, as well as 
implicit opinion mining tasks. She holds a Ph.D. from the University of 
Florida (Computer Engineering, 2018), M.S. from Clemson University 
(Computer Science, 2014), and a B.S. from South Carolina State 
University (Computer Science with a minor in Mathematics, 2012). Dr. 
Neal has served as an Associate Editor for the IEEE Biometrics Council 
Newsletter and Guest Editor for the MDPI Electronics Special Issue on 
Recent Advances in Biometric Security in IoT Based on Machine Learning. 
She has also served on the organizing committee for several workshops in 
Artificial Intelligence and Biometrics, including the Workshops on 
Applied Multimodal Affect Recognition (AMAR 2020, AMAR 2021, AMAR 2022) 
and the Workshop on Interdisciplinary Applications of Identity Science 
and Biometrics. She was a recipient of the University of Florida Delores 
Auzenne Dissertation Award and National Science Foundation CyberCorps 
Scholarship for Service Fellowship. She was also recognized as a 
2021-2022 McKnight Junior Faculty Fellow, and received an NSF CAREER 
Award in 2023.

For more information, visit: 
https://ieee-biometrics.org/event/qualitative-methods-for-biometrics-besearch/

-- 
Prof. Vitomir Struc, PhD
Laboratory for Machine Intelligence
Faculty of Electrical Engineering
University of Ljubljana, Slovenija
URL: https://lmi.fe.uni-lj.si/en/vitomir-struc/

VP Technical Activities, IEEE Biometrics Council
Supervisory Board Member: European Association for Biometrics (EAB)
Secretary of IAPR Technical Committee on Biometrics (TC4)

Program Co-Chair: IEEE International Workshop on Information Forensics and Security (WIFS 2024), https://wifs2024.uniroma3.it/
Program Co-Chair: IEEE Winter Conference on Applications in Computer Vision (WACV 2025)
Program Co-Chair: IEEE/IAPR International Joint Conference on Biometrics (IJCB 2025)