Five reasons to join IEEE—From a student’s perspective

January 1, 2021 by Suxia Cui

The IEEE Zeta Lambda Chapter is hosted at Prairie View A&M University (PVAMU), the second-oldest public university in Texas, founded in 1876. PVAMU is a member of the Texas A&M University System, a historically Black college and university. The PVAMU IEEE association is the platform to connect our students to industry and academia. At our biweekly meetings, industry partners present hiring information, faculty members give technical presentations, and students organize training for both software and hardware. Each year, we host the PVAMU annual IEEE workshop. The next upcoming workshop is scheduled for March 2021, and the focused topic is data sciences. The workshop is sponsored by the PVAMU Electrical and Computer Engineering Department as well as National Science Foundation grants (OAC 1827243 and OAC 1925764).

For more about this article see link below.

https://ieeexplore.ieee.org/document/9307321

Privacy implications of facial recognition technology

Facial recognition technology (FRT) has experienced enormous growth and rapid deployment across different sectors of the society in recent years, mostly motivated by safety, security, and commercial applications. However, major privacy questions arise around this technology, and regulators are still working to provide clear set of rules governing its use. This paper focuses on privacy implications of FRT usage. Specifically, we first present the definition of FRT, followed by an analysis of the vulnerability and risks that can potentially arise and how they might be concerning in such context. Finally, we discuss efforts needed to mitigate privacy concerns related to FRT, from both technical and regulatory perspectives.

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