[AISWorld] Euromicro ML-IoT 2018 Call for Papers

[Farshad Firouzi]

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We also invite you to circulate the CfP among your potentially interested
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Euromicro Workshop on Machine Learning Driven Technologies and
Architectures for Intelligent Internet of Things (ML-IoT)

*August 28, 2018| Prague | Czech Republic*


*http://dsd-seaa2018.fit.cvut.cz/main/Euromicro_ML-IoT_CfP_F.pdf
<http://dsd-seaa2018.fit.cvut.cz/main/Euromicro_ML-IoT_CfP_F.pdf> *

*http://dsd-seaa2018.fit.cvut.cz/main/
<http://dsd-seaa2018.fit.cvut.cz/main/>*





*Call for Papers*

The Internet of Things (IoT) and Artificial Intelligence (AI) tsunami are
affecting every aspect of our daily lives, ranging from smart cars, smart
buildings, smart cities, to smart health, and smart environments. While
everything is getting smarter and connected, interdisciplinary landscape of
IoT demands researchers from different areas such as Machine Learning (ML),
distributed computing, embedded systems, and big data to synergize their
efforts in better understanding the untapped opportunities to produce
highly efficient, deployable, intelligent ML-driven IoT systems. In this
context, in close collaboration with Digital System Design (DSD) and
Software Engineering and Advanced Applications (SEAA), Euromicro organizes
the first International Workshop on Machine Learning (ML) Driven
Technologies and Architectures for Intelligent Internet of Things (ML-IoT)
to promote research and technology transfer in this important cutting-edge
field. This workshop intends to address all aspects of intelligent IoT from
Device, to Edge/Fog and Cloud, covering the design of circuits,
architecture, network, cloud, cross-layer intelligence, big data,
applications, as well as human-machine interaction. ML-IoT also discusses
the associated challenges that need to be overcome for achieving the goal
of accuracy, privacy, reliability and security.



Authors from both academia and industry are kindly invited to submit their
original work according (but not limited) to the topics of the workshop.
All papers are reviewed following guidelines, quality requirements and
thresholds that are common to all Euromicro conferences including DSD and
SEAA.



*Extended versions of selected best papers will be published in a special
issue of the ISI indexed Euromicro/Elsevier journal “Microprocessors and
Microsystems: Embedded Hardware Design” (MICPRO) having the 2016 Impact
Factor as high as 1.025. It should also be noted that the workshop
participation fee will be much reduced for the DSD’2018 and SEAA’2018
participants.*









*SUBMISSION GUIDELINES*

Authors are encouraged to submit their manuscripts via Easychair. Should an
unexpected web access problem been countered, please contact the Dr.-Ing.
Farshad Firouzi by email (farshad <mliot2018 at easychair.org>firouzi at gmail.com).
Each manuscript should include the complete paper text, all illustrations,
and references. The manuscript should conform to the IEEE format: single
spaced, double column, US letter page size, 10-point size Times Roman font,
up to 6 pages. In order to conduct a blind review, no indication of the
authors' names should appear in the manuscript, references included.
EUROMICRO will publish accepted papers in a dedicated proceeding and the
selected papers will be published in a special issue of the ISI indexed
Elsevier journal “Microprocessors and Microsystems:  Embedded Hardware
Design” (MICPRO) having the 2016 Impact Factor as high as 1.025.



*IMPORTANT DATES*

Deadline for paper submission: June 1st

Notification of acceptance: June 14th

Camera ready papers: June 25 th



*MAIN TOPICS*

In the context of ML-driven IoT, topics of interest include, but are not
limited to:

·       Nano‐CMOS and beyond‐CMOS devices, sensors, and circuits for IoT

·       Sub‐and near‐threshold computing in the IoT regime

·       Reconfigurable embedded sensing and actuating, enabling runtime
selection of quality, operation mode and parameter settings of IoT devices

·       Alternative architectures for IoT‐specific Big Data search,
predictive analytics, deep learning, high dimensional data, feature
selection, and feature transformation

·       Accelerators for IoT (e.g., learning, neuromorphic and cognitive
computing)

·       Cognitive Internet of Things Assisted by Cloud Computing and Big
Data

·       Intelligent Sensing and Applications for Cyber-Physical Systems

·       IoT-specific approximate architecture and micro-architecture
design, exploration and optimization

·       Brain-inspired and neuromorphic components, circuits, and systems
for IoT

·       SoC design for Artificial Intelligence and Machine Learning in the
era of IoT

·       Machine learning for IoT signal processing on edge devices

·       Neural network model compression for wearables

·       Information-theoretic signal learning on IoT devices

·       Edge-based machine learning for wearable solutions

·       Fog computing for mobile-based location search; context-aware,
information processing

·       Blockchain and Decentralization for Internet of Things

·       Scalability, privacy and usability aspects of ML-focused IoT

·       Data analytics for cybersecurity such as Predictive Cybersecurity,
and Event Analysis

·       Intelligent Security and Optimization in Edge/Fog Computing

·       Design, development and evaluation of fog architectures for data
analysis, visualization and interoperability for intelligent IoT

·       Big data storage in IoT and Edge Computing

·       Machine Learning Driver for Cyber Security and Biometrics in the
IoT Era

·       Fusion for different services and its impacts in the IoT era

·       ML-driven IoT Architecture

·       Microservices Architectures in the era of Machine Learning IoT

·       Big Data and Advanced Data Analytics

·       Intelligent Algorithms and Standards for Interoperability in
Internet of Things

·       Machine Learning for smart data storage in cloud-based Internet of
Things

·       Intelligent algorithms for cloud-based Internet of Things

·       Case-based reasoning in cloud-based Internet of Things

·       Cognitive aspects of Machine Learning in cloud-based Internet of
Things

·       Case studies of successful IoT systems (eHealth, Smart City, etc.)



*GENERAL CHAIR*


   - Dr.-Ing. Farshad Firouzi, mVISE, Germany



*PROGRAM CO-CHAIRS*


   - Dr. Bahar Farahani, Shahid Beheshti University, Iran
   - Dr. Kunal Mankodiya, University of Rhode Island, USA



*TECHNICAL PROGRAM COMMITTEE*


   - Prof. Lech Jozwiak, Eindhoven University of Technology, Netherlands
   - Prof. Walter Stechele, TU München, Germany
   - Prof. Nicolas Sklavos, University of Patras, Greece
   - Prof. Arda Yurdakul, Bogazici University, Turkey
   - Prof. Henk Corporaal, Eindhoven University of Technology, Netherlands
   - Prof. Fereidoon Shams Aliee, Shahid Beheshti University, Iran
   - Prof. Rolf Drechsler, University of Bremen, Germany
   - Prof. Radu Grosu, Vienna University of Technology, Austria
   - Prof. Emad Samuel Malki Ebeid, University of Southern Denmark, Denmark
   - Prof. Puneet Goyal, IIT Ropar, India
   - Prof. Assad Abbas, COMSATS Institute of Information Technology,
   Pakistan
   - Dr. Prakash Kumar Ray, Nanyang Technological University, Singapore
   - Dr. Ankesh Jain, University of Ulm, Germany
   - Dr. Arpan Pal, TCS Research and Innovation
   - Dr. Ilias Gerostathopoulos, Technische Universität München, Germany
   - Dr. Ritwik Giri, Starkey Hearing Technologies
   - Dr. C. P. Ravikumar, Texas Instrument, India