Engineering assistant professor appointed as associate editor in IEEE Networking Letters
The Institute of Electrical and Electronics Engineers (IEEE) named University of New Mexico Electrical and Computer Engineer assistant professor Dr. Eirini Eleni Tsiropoulou as an associate editor of their Networking Letters.
“Being an associate editor, is not only an honorary position, but it is also a great service to the technical community and IEEE society,” Tsiropoulou said. “Being in charge of coordinating the review of, and making decisions on the quality and possible publication of, the works of other researchers in my area of expertise, is a great honor, challenge and responsibility.”
In her capacity as an associate editor, Tsiropoulou will manage the overall publication process of certain articles while maintaining a standard of quality, consistency and impact in the research community.
“My specific duties include identifying and securing appropriate reviewers from the peer community for providing scientifically sound reviews and evaluations, timely decision making about the suitability, scientific significance, novelty and appropriateness of a potential publication, and communicating with all the involved actors throughout this process,” she said.
According to Tsiropoulou, publications play a major role in sharing and recognizing the impact and novelty of research that is produced by experts in both academia and industry.
“My appointment as associate editor in IEEE Networking Letters is not only a great recognition of my contributions to the IEEE Communications Society and the related field, but certainly advances my career, improves the visibility of my research group, the PROTON Lab, and enhances the externality of our Department of Electrical and Computer Engineering, School of Engineering, and the University of New Mexico as a whole.”
When she is not overseeing the publication process for IEEE Networking Letters, Tsiropoulou’s research focuses on cyber-physical social systems and wireless heterogeneous networks, with emphasis on network modeling and optimization, resource orchestration in interdependent systems, reinforcement learning, game theory, network economics, and the internet of things.