The call for papers on “Circuits and Systems for the Internet of Things – From Sensing to Sensemaking” has just been released for the IEEE Trans. on Circuits and Systems – part I.
Researchers working in the space of the Internet of Things (IoT) are warmly invited to submit their paper contributions to be part of this highly impactful special issue.
The topic spans from sensing, to processing, to security and sensemaking (e.g., machine learning algorithms for on-chip knowledge extraction from sensed data). Emphasis is given to both “vertical” and “transversal” design methodologies and approaches that cross traditional design boundaries (see CfP below).
Please follow the instructions below, planning your submission to meet the deadline of Dec. 7, 2016.
For further information, you can contact Prof. Massimo Alioto.
TCAS I: Special Issue on CAS for the IoT – From Sensing to Sensemaking View this email in your browser Call for Papers:Special Issue on Circuits and Systems for the Internet of Things – From Sensing to SensemakingThe Internet of Things (IoT) is now at its onset as a result of a global effort to enable massively distributed integrated circuits and systems with sensing, processing, communication and energy management capabilities (the “IoTnodes”). The vision towards 1 Tera connected IoT nodes poses several challenges in the broad area of circuits and systems, including: (i) the need for unprecedentedly high energy efficiency and low standby power, (ii) ultra-low voltage operation and inexpensive resiliency-enhancement techniques, (iii) very low cost across the entire chain from design to verification, and manufacturing, (iv) systematic over-design margin elimination from the circuit to the application level, (v) cyber-security assurance down to single chip level despite highly-constrained resources, (vi) the need for early extraction of essential information from physical data within the IoT nodes themselves, to enable distributed learning/sensemaking and hence true IoT scalability. Due to the gargantuan scale of the IoT, the above challenges need to be addressed through holistic approaches that embrace multiple levels of abstraction (verticality) and building blocks of the on-chip sensing/sensemaking chain (transversality). Nowadays, vertical approaches are progressively becoming more customary to exceed the artificial boundaries created by levels of abstraction, and enable advances that transcend their traditional limits. On the other hand, more research is needed to devise transversal methods that leverage the interaction within the sensing/sensemaking chain, from analog interfaces to processing, power delivery, wireless communications and HW/SW-level information security, while expanding into systems, data representation and algorithmic frameworks. Authors are invited to submit Regular papers following the IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) guidelines, within the remit of this Special Issue call. Topics within the remit of circuits and systems for IoTinclude (but are not limited to):Circuit and system techniques for energy harvesting/delivery/management and tight coupling with analog/processing/communication sub-systemsCircuits and systems for ultra-low voltage, energy and standby power consumptionAdaptive and resilient analog and digital techniques for inexpensive counteraction of process/voltage/temperature variationsHighly power-efficient circuits for wireless communications in IoTEnergy-quality scalable and approximate circuits and systems for IoTHeterogeneous, reconfigurable and other IoT-specific architecturesCircuit/architecture/system/algorithmic “just-enough” methods for over-design margin elimination at all levels of abstraction through adaptation to application, context, workload and datasetHardware-level security for IoT, from lightweight encryption to “physically unclonable functions” for chip authenticationSystem-on-chip design and verification methodologies for IoTCircuit and system approaches and implications on data representation and algorithms for IoTCircuits, systems and methods for on-chip machine learning and inferenceEmerging technologies for IoTSubmission Guidelines All submitted manuscripts must (i) conform to TCAS-I’s formatting requirements and page-count limit (at no more than 14 pages); (ii) incorporate no less than 50% of new (previously unpublished) material; (iii) be submitted online at https://mc.manuscriptcentral.com/tcas1. Please note that you need to select “Special Issue on IoT” when you submit a manuscript to this Special Issue.Deadlines Paper Submission: December 7, 2016 Completion of First Review: February 7, 2017 Completion of Final Review: April 7, 2017 Target Publication: June 2017Guest Editors Prof. Massimo Alioto National University of Singapore (Singapore) E-mail: malioto@ieee.org Prof. Edgar Sanchez-Sinencio Texas A&M University (USA) e-mail: s-sanchez@tamu.edu Prof. Alberto Sangiovanni-Vincentelli University of California at Berkeley (USA) E-mail: alberto@berkeley.edu  Copyright © 2016 IEEE CAS Society, All rights reserved.You are receiving this email because of your membership in IEEE Circuits and Systems Society. Want to change how you receive these emails? You can update your preferences or unsubscribe from this list |