Call for Papers: The Next Wave of Machine-Learning Applications [CFP]
Computer magazine seeks articles for an upcoming special issue.

Details of the Call for Papers about the Next Wave of Machine-Learning Applications

Submission deadline: 1 March 2020
Author notification: 12 May 2020
Camera-ready paper due: 17 July 2020

Publication date: October 2020

Computer plans a October 2020 special issue on the role of machine learning as the mortar of modernization.

Learning has been fundamental to the growth and evolution of humanity and the civilization. The same concepts of learning, applied to the tasks that machines can perform, are having a similar effect now. Machine learning is evolving computation and its application like never before. It is now widely recognized that machine learning is playing similar role as electricity played in modernizing the world in the late 19th and early 20th century. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all. However, a few of the applications clearly standout as transforming the world and opening up a new era. The special issue intends to showcase such path breaking applications of machine learning that are leading us to the next generation of computing and living standards.

The special issue is envisioned to highlight the application of machine learning to cutting-edge technologies that are playing a prominent role in improving the quality of life and the progress of the civilization. The focus of the special issue is not just machine learning, but its application to specific domains that are resulting in substantial progress of the civilization. The compendium of articles should serve as a reference for a long time and motivate further research expanding the horizon. Each article should ideally reinforce the motto of the special issue, “machine learning, the mortar of modernization” and popularize it as a maxim for many years to come.

With the above objective in mind, the guest editor seeks articles detailing the specific impact to the civilization by the application of machine learning to:

  • Healthcare, biomedical informatics, and biotech
  • Social innovation
  • Smart robots
  • Emerging communication networks: 5G, IoT, VANETs, UAV, WBAN
  • Conversational UI
  • Quantum computing
  • Workforce and enterprise modernization
  • Threat intelligence, biometrics, and cybersecurity
  • Intelligent transportation systems
  • Smart cities/workspaces
  • Connected homes
  • Mixed reality
  • Hyperspectral imagery
  • Malware detection in unprecedented ways
  • Information retrieval, social media, and the web
  • Industry and engineering
  • Business and economics
  • Space exploration
  • Other real-world use cases and cutting-edge technologies

Only submissions that describe previously unpublished, original, state-of-the-art research and that aren’t currently under review by a conference or journal will be considered. Extended journal versions of conference papers must be at least 30 percent different from the original conference works.

There is a strict 6,000-word limit (figures and tables are equivalent to 300 words each) for final manuscripts. Authors should be aware that Computer cannot accept or process papers that exceed this word limit.

Articles should be understandable by a broad audience of computer science and engineering professionals, avoiding a focus on theory, mathematics, jargon, and abstract concepts.

All manuscripts are subject to peer review on both technical merit and relevance to Computer’s readership. Accepted papers will be lightly edited for content and style. For accepted papers, authors will be required to provide electronic files for each figure according to the following guidelines: for graphs and charts, authors must submit them in their original editable source format (PDF, Visio, Excel, Word, PowerPoint, etc.); for screenshots or photographs, authors must submit high-resolution files (300 dpi or higher at the largest possible dimensions) in JPEG or TIFF formats.

Authors of accepted papers are encouraged to submit multimedia, such as a 2- to 4-minute podcast, videos, or an audio or audio/video interview of the authors by an expert in the field, which Computer staff can help facilitate, record, and edit.


Please direct any correspondence before submission to the guest editor, Dr. Vishnu S. Pendyala, at

For author guidelines and information on how to submit a manuscript electronically, visit For full paper submission, please visit

Call for Papers: The Next Wave of Machine-Learning Applications [CFP]
1 March 2020