Call for Papers – IEEE Globecom 2016 – Selected Areas in Communications Track

Selected Areas in Communications track – Molecular, Biological, and Multi-Scale Communications
IEEE Globecom 2016 – December 4-8, 2016, Washington, DC, USA

For more information please see: http://globecom2016.ieee-globecom.org/

As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems at small length scales, and across multiple scales (e.g., micro to macro). This success opens up a new frontier for interdisciplinary signaling techniques using chemistry, biology, novel electron transfer, and other principles not previously examined. This track is devoted to the principles, design, and analysis of signaling and information systems that use physics beyond conventional electromagnetism, particularly for small-scale and multi-scale applications. This includes: molecular, quantum, and other physical, chemical and biological (and biologically-inspired) techniques; as well as new signaling techniques at these scales. As the boundaries between communication, sensing and control are blurred in these novel signaling systems, research contributions in a diversity of disciplines are invited.

Original research articles are solicited in, but not limited to, the following areas:
– mathematical modeling of biological, molecular or multi-scale communication
-channel model design and analysis
– molecular computing
– DNA sequencing
– biological, molecular or multi-scale networking
– implementations and laboratory experiments
– systems biology
– data-starved or data-rich statistical analyses of biological systems
– industrial applications
– biological circuits
– biosystems analysis and control
– information/communication theory for analysis of biological systems
– unconventional electromagnetism for small or multi-scale applications
– experiment-based studies on information processes or networks in biology

Papers in related areas will also be considered for publication.