CLOSED Call for Papers: Special Track on Biology/Systems Interface

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Submissions Due: 2 March 2020

Biological systems carry out computation and store information with efficiency levels and complexity that far exceed those of synthetic computer systems. Consider biological neural networks that are estimated to achieve at least four order of magnitude greater ops/Joule than synthetic ones, recent studies that show the extremely high storage densities that DNA can achieve, and a growing understanding of the sophisticated pathways and mechanisms that permit biological systems to interface with some of the most efficient sensing systems on the planet. At the same time, better understanding the complexity of biological systems rests on systems, hardware, and software with ever-increasing efficiency, performance, and usability.

IEEE Micro seeks articles on the intersection of biology and computer systems. Papers on a range of topics are invited, including, but not limited to:

  • Biologically inspired systems, such as neuromorphic systems, psychomorphic systems, and DNA storage.
  • Computer systems abstractions to reverse-engineer biological systems.
  • Biomedical devices, such as implantables and wearables.
  • Systems for enhanced perception, such as virtual reality/augmented reality (VR/AR) systems.
  • Systems for big-data processing, such as bioinformatics and genomics.
  • Formal methods techniques for safety.
  • Secure biological systems.

Important Dates

  • Submissions due: CLOSED
  • Reviews due: 6 April 2020
  • Revisions due: 8 June 2020
  • Final reviews due: 29 June 2020
  • Final notifications: 13 July 2020
  • Publication: Sept/Oct 2020

Submission Guidelines

Please see the Author Information page and the Magazine Peer Review page for more information. Please submit electronically through ScholarOne Manuscripts (https://mc.manuscriptcentral.com/cs-ieee), selecting this special-track option.

Questions?

Contact guest editor Abhishek Bhattacharjee (abhishek@cs.yale.edu) or editor-in-chief Lizy John (ljohn@ece.utexas.edu).