Introducing arXiv/EESS (Electrical Engineering and Systems Science)
The Electrical Engineering and Systems Science archive (eess) was introduced 18 September 2017.
In recent years, more and more electrical and systems engineers have been turning to arXiv to keep up to date with fresh research results, and to disseminate their own research findings quickly and effectively to a broad cross-disciplinary audience. arXiv preprints appear within a few days after submission, and reach multiple research communities in a short time. Many electrical engineering researchers have been actively posting preprints on arXiv, but the existing structure did not offer a natural home for their contributions. Signal processing researchers have been particularly active in arXiv, albeit they had to post their work under sister categories, such as stat.ML, stat.ME, math.IT, math.OC, cs.IT, cs.SY, physics.data-an, or phyics.soc-ph.
In May 2016, Ali Sayed, President-elect of the IEEE Signal Processing Society (SPS), created an ad-hoc committee chaired by Nikos Sidiropoulos, tasked with exploring the possibility of opening up a new signal processing domain under arXiv. After about a year of deliberations, the arXiv Scientific Advisory Board and the SPS Board of Governors reached an agreement to open up a new top-level archive, Electrical Engineering and Systems Science, next to the existing ones (Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance, and Statistics).
The new Electrical Engineering and Systems Science (EESS) archive is designed to accommodate contributions addressing analytical and computational aspects of Electrical Engineering (including Signals, Systems, Communications, Networking, and Information Theory and Methods) and Systems Science in a broader sense that includes Dynamical Systems and Control research motivated by electrical, chemical, mechanical, aerospace and other cross-disciplinary (e.g., vehicular) engineering applications, as well as the analysis, optimization and control of cyber-physical systems such as power grids and the Internet of Things.
Al Hero, the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science at the University of Michigan, has kindly agreed to serve as Chair for the new EESS archive, which will be seeded with three categories:
- eess.AS (audio and speech processing), moderated by Sharon Gannot (Bar-Ilan University)
- eess.IV (image and video processing), moderated by Antonio Ortega (USC)
- eess.SP (signal processing), moderated by Fulvio Gini (University of Pisa)
The above moderators are all highly appreciated researchers and volunteer leaders in their respective areas. We anticipate that additional categories will be added and/or cross-listed under EESS -- from information theory, control, and dynamical systems in the foreseeable future.
Please see the descriptions of the subject categories and access papers from https://arxiv.org/archive/eess. New readers and authors to arXiv should see our help pages for registration, submission and subscription.
We hope that this new archive will facilitate the rapid exchange of exciting signals, systems, communication, and information theory ideas; catalyze cross-disciplinary interactions; and enhance the visibility of EESS research. Please join us in contributing your work to EESS and following the work of your peers in EESS!