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Issue Date:
Section: Community & Involvement
Over the past decade, the Internet evolution has been characterized by the proliferation of mobile smartphones as dominant devices for accessing the network, and by the impressive growth of connected objects with sensing and actuation capabilities within the paradigm of the Internet of Things in different application domains, such as critical manufacturing, emergency services, energy, financial services, healthcare and public health, information technologies, and transportation systems.
Host Professor: Yonina Eldar.
Research Topics:
Section: Events
December 18-20, 2017
Location: Bilbao, Spain
Website
Section: Events
June 10-13, 2018
Location: Freiburg, Germany
Website
Section: Events
April 4-7, 2018
Location: Washington, D.C., USA
Website
Section: Events
June 21-23, 2017
Location: Toronto, Canada
Website
Section: Events
September 18-20, 2017
Location: Ljubljana, Slovenia
Website
Issue Date:
Section: Community & Involvement
The IEEE international Workshop on Information Forensics and Security (WIFS) is the primary annual event organized by the IEEE Information Forensics and Security (IFS) Technical Committee with the technical sponsorship of the IEEE Biometrics Council. Its major objective is to bring together researchers from relevant disciplines to exchange new ideas and the latest results and to discuss emerging challenges in different areas of information security. The 9th edition of WIFS will be held in Rennes, France, from December 4 to December 7, 2017.
Issue Date:
Section: Community & Involvement
EAB is launching a call for nominations for the eleventh European Biometrics Research and Industry Awards. These prestigious awards are granted annually to individuals who have been judged by a panel of internationally respected experts to be making a significant contribution to the field of biometrics research and innovations in Europe.
Issue Date:
Section: Community & Involvement
This article provides the guidelines for submissions to IEEE T-IFS in which the proposed system relies on deep learning.
