International Conference on Omni-layer INtelligent Systems | Internet of Things, Big Data, Artificial Intelligence Conference
16468
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COINS: International Conference on Omni-layer Intelligent systems

IoT | Artificial Intelligence | Machine Learning | Big Data | Cloud |  Sensor | Embedded Systems | Computer Architecture | EDA

Vertical Topics (Health | Smart City | Automotive | Industry 4.0 | Agriculture)

The Intelligent Internet of Things (IoT) tsunami is affecting every aspect of our daily lives, ranging from smart cars, smart homes, smart cities, smart factories to smart health, and smart environments. Although IoT vastly expanded the possibilities to fulfill many of our needs, numerous challenges still should to be addressed in order to develop smart, consistent, suitable, safe, flexible and power-efficient systems. To enable this transformation and to better understand the untapped opportunities, the interdisciplinary landscape of IoT demands a large number of significant technological advancements in the hardware and software communities to come together and to synergize their efforts. COINS focuses on novel omni-layer techniques for smart IoT systems, by identifying new perspectives and highlighting impending research issues and challenges. In particular, this conference addresses all-important aspects of novel IoT technologies from Connected Devices, to Edge/Fog, Cloud, and application, covering manufacturing, materials, CMOS and beyond-CMOS devices, architecture, embedded systems, reconfigurable hardware, network, cloud, Omni-layer artificial intelligence and machine learning, big data, emerging applications, as well as human-machine interaction. COINS also discusses the associated challenges that need to be overcome for achieving the goal of accuracy, privacy, reliability and security. The three-day COINS event consists of a conference with plenary keynote speakers, invited papers, regular papers, panels, special hot-topic sessions, and workshops.

 

Conference Tracks

  • Internet of Things (IoT): From Device, to Edge, and Cloud
  • Security, Privacy, and Trust
  • VLSI, EDA, Embedded Systems, and Computer Architecture
  • Cloud Computing
  • Big Data
  • Artificial Intelligence, Machine Learning, Cognitive Computing, and Advanced Analytics
  • Intelligent IoT eHealth
  • Blockchain

 

Important Dates

  • Deadline for regular paper submission:  January 31, 2020
  • Notification of acceptance of regular papers: April 1, 2020
  • Camera-ready:  April 20, 2020

 

Paper Submission Link

Kindly submit a Blinded Manuscript with no author details. This conference uses double-blind review:

https://easychair.org/conferences/?conf=coins2020

Contact

Board

  • Krishnendu Chakrabarty, Duke University, USA
  • Jan M. Rabaey, UC Berkeley, USA
  • David Z. Pan, University of Texas at Austin, USA
  • Majid Sarrafzadeh, UCLA, USA
  • Farshad Firouzi, Duke University, USA

 

General Chairs

  • Farshad Firouzi, Duke University, USA
  • Krishnendu Chakrabarty, Duke University, USA

 

Program Chairs

  • William Fornaciari, Politecnico di Milano, Italy
  • Vasilis Pavlidis (IEEE CEDA), University of Manchester , UK
  • Bahar Farahani, CRC, Germany

 

Local Chair

  • Jose Ayala, University of Madrid, Spain
  • Marina Zapater Sancho, EPFL, Switzerland

 

Track Chairs

  • JOsé Manuel Benitez, University of Granada, Spiain
  • Sebastian Ventura, Univesity of Córdoba, Spain
  • Jiang Li, Shanghai Jiaotong University, China
  • Davide Brunelli, University of Trento, Italy
  • Pasi Liljeberg, University of Turku, Finland
  • Maria K. Michael, University of Cyprus, Cyprus
  • Akash Kumar, TU Dresden, Germany
  • Amir Rahmani, University of California Irvine, USA
  • Federica Cena, Universita’ di Torino, Italy
  • Chung-Wei Lin, National Taiwan University, Taiwan
  • Xing Liu, Kwantlen Polytechnic University, Canada
  • Kim Grüttner, OFFIS, Germany
  • Wanli Chang, University of York, UK
  • Jose Ayala, University of Madrid, Spain
  • Marina Zapater Sancho, EPFL, Switzerland

 

 

COINS: International Conference on Omni-layer Intelligent systems