• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • IEEE.org
  • IEEE Xplore
  • IEEE Standards
  • IEEE Spectrum
  • More Sites

IEEE Potentials Magazine

The magazine for high-tech innovators

  • Home
  • Theme
    • Features
    • Columns/Departments
  • About Us
  • Contact
  • Associated Links
    • Potentials at IEEE Students
    • Potentials Media Guide

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

Filed Under: Past Columns / Departments

Primary Sidebar

Current Issue

Get the entire issue now.

About the Magazine

IEEE Potentials Magazine is the publication dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology’s global impact, and generates international forums that foster the sharing of diverse ideas about the profession.

POPULAR ARTICLE

Characteristics of social robots: A framework for development

Social robots hold great promise for assisting both older adults with dementia and those in good health. Yet, little is known about how people want to interact with these robots. This article introduces a framework for the key features social robots should have, based on insights from a four-month study of how seniors engage with robots through conversation and interaction. We have broken these features down into principles of robot behavior, verbal communication, and nonverbal communication, while also considering factors that affect a person’s likelihood to adopt such technology. Our findings offer a starting point for refining social robots and & developing features that truly resonate with users.

Read More…

Search

Past Issues

Footer

IEEE Potentials Magazine is a member benefit for IEEE Student members.

The magazine is archived in IEEE Xplore, and articles from all issues are available for download.

Home | Sitemap | Contact & Support | Accessibility | Nondiscrimination Policy | IEEE Ethics Reporting | IEEE Privacy Policy | Terms

© Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.