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COINS 2019: International Conference on Omni-layer Intelligent systems - Call for paper, ranking, acceptance rate, submission deadline, notification date, conference location, submission guidelines, and other important details


This article provides the call for paper, ranking, acceptance rate, submission deadline, notification date, conference location, submission guidelines, and other important details of COINS 2019: International Conference on Omni-layer Intelligent systems all at one place.

Conference Location Crete, Greece
Conference Date 2019-05-05
Notification Date 2019-01-31
Submission Deadline 2018-12-31
Conference Website and Submission Link http://coinsconf.com/


Conference Ranking


International Conference on Omni-layer Intelligent systems ranking based on CCF, Core, and Qualis is shown below:

CCF Ranking
Core Ranking
Qualis Ranking

Click here to check the ranking of any conference.
  • About CCF Ranking: The Chinese Computing Federation (CCF) Ranking provides a ranking of peer-reviewed journals and conferences in the field of computer science.

  • About Core Ranking: The CORE Conference Ranking is a measure to assess the major conference in the computing field. This ranking is governed by the CORE Executive Committee. To know more about Core ranking, visit Core ranking portal.

  • About Qualis Ranking: This conference ranking is published by the Brazilian ministry of education. It uses the h-index as a performance metric to rank conferences. Conferences are classified into performance groups that range from A1 (to the best), A2, B1, B2,..., B5 (to the wost). To know more about qualis ranking, visit here

Conference Acceptance Rate


Below is the acceptance rate of International Conference on Omni-layer Intelligent systems conference for the last few years:

Year Submitted Papers Accepted Papers Accepted Percentage/Acceptance Rate

We are working hard to collect and update the acceptance rate details of the conferences for recent years. However, you can consider the above (if available) acceptance rates to predict the average chances of acceptance of your research paper at this conference.



Conference Call for paper


SCOPEThe 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.TRACKS and TOPICSTopics of interest include, but are not limited to
Track 1: Internet of Things: From Device, to Edge, and Cloud

Network Design and Architecture

Software Architecture and Middleware

Mobile Services

Data and Knowledge Management

Context-awareness and Location-awareness

Security, Privacy and Trust

Performance Evaluation and Modeling

Networking and Communication Protocols

Machine to Machine Communications

Intelligent Systems for IoT and Services Computing

Energy Efficiency

Social Implications for IoT

Future of IoT and Big Data

Technological focus for Smart Environments

Next Generation Networks

Smart City Examples and Case Studies

Data Analysis and Visualization for Smart City, Green Systems and Transport Systems

Architecture for secure and interactive IoT

Intelligent Infrastructure and Guidance Systems

Traffic Theory, Modeling and Simulation

Sensor Networks, Remote Diagnosis and Development

Transportation Management

Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
Track 2: Omni-Layer Security, Privacy, and Trust

Algorithms, software engineering and development

System design and implementation

Testing (software engineering; penetration; product development)

Encryption (all aspects)

Firewall, access control, identity management

Experiments of using security solutions and proof-of-concepts

Large-scale simulations in the Cloud, Big Data and Internet of Things

Intrusion and detection techniques

Social engineering and ethical hacking: techniques and case studies

Software engineering for security modeling, business process modeling and analytics

Trust and privacy

Location-based privacy

Data security, data recovery, disaster recovery

Adoption challenges and recommendation

Information systems related issues

Conceptual frameworks and models

Emerging issues and recommendations for organizational security

E-Commerce and online banking

Social network analysis, emerging issues in social networks

Education and e-Learning

Surveys and their quantitative analysis

Architecture (technical or organizational)

Case Studies
Track 3: Omni-layer Reliability in IoT Era

Reliability physics of materials, CMOS and beyond-CMOS devices, and circuits

Reliability and security of specialized cache/memory/storage systems, under stringent energy constraints

Reliability and security of circuits including digital, mixed-signal, and RF

Omni-layer dependability validation, failure/security analysis techniques, modeling methodologies, and simulation techniques

Design for security (e.g., hardware Trojans, interaction between test, security, and reliability, etc.)

Adaptive, reconfigurable designs, enabling runtime selection of operation mode and reliability/security

Application-specific accelerators designs

High-performance, low power designs for secure and reliable applications

Architectural approaches for security and reliability

Algorithm and software (e.g. applications; middleware; and operating systems)

Reliability and security clouds systems in IoT era

Case studies for reliable and secure IoT systems (e.g., aerospace, aerial, medical, automobile, communications, energy, smart grids, etc.)
Track 4: VLSI, EDA, Embedded Systems, and Computer Architecture

System Specification and Modeling

System Design, High-Level Synthesis and Optimization

High-Level, Behavioral, and Logic Synthesis and Optimization

Low Power and Approximate Computing in System Design

System Design Issues for Heterogeneous Computing

System Simulation and Validation

Formal Methods and System Verification

Cell-Library Design, Partitioning, Floor-planning, Placement

Clock Network Synthesis, Routing, and Post-Layout Optimization and Verification

Design and Test for Analog and Mixed-Signal Systems and Circuits

Power Modeling, Optimization and Low-Power Design

Temperature and Variability Aware Design and Optimization

Embedded System Design Methodologies

Reconfigurable Computing

Domain and Application-specific Design

Logical and Physical Analysis and Design

Architectural and Micro-architectural Design

System-on-chip Design and HW/SW Co-design

Processor, Memory, Storage, Interconnect Designs

Architectures for Instruction-level, Thread-level and Memory-level Parallelism

Large-scale System Architecture

Compilers and Embedded Systems Software

Performance Evaluation and Measurement of Real Systems

Operating Systems and Middleware

QoS Management and Performance Analysis

Design for Manufacturability

Timing, Power and Signal Integrity Analysis and Optimization

CAD for Analog/Mixed-Signal/RF and Multi-Domain Modeling

Design for Reliability

CAD for Cyber-Physical Systems

Architectural Support for Programming Languages and Operating Systems

Emerging devices, circuits, and architectures for IoT, Big Data, machine learning, and approximate computing

Biological Systems and Electronics, Brain Inspired Computing, and New Computing Paradigms

New and Emerging Design Technologies

Emerging Technologies for Future Memories

Application areas, e.g., automotive, avionics, energy, health care, mobile devices, multimedia and autonomous systems
Track 5: Real-time Systems

Scheduling Design and Analysis

Real-Time Operating Systems

Hypervisors and Middle-wares

Virtualization and Timing Isolation

Mixed-Criticality Design & Assurance

Worst-Case Execution Time Analysis

Real-Time Networks and Communication Protocols

Processor Design for Real-Time Systems

Power/Energy/Thermal-aware Algorithms

Modeling and/or Formal Methods

Industrial Use-Cases and Real-Time Applications

Tools, Compilers and Benchmarks for Embedded System
Track 6: Alternative and Approximate Computing

IoT-aware nano-CMOS and beyond-CMOS devices, sensors, and circuits

Specialized and modern memory systems for IoT (e.g., Memristor, STT-RAM, FeRAM, etc.)

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

IoT-specific approximate design, exploration and optimization

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

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

Case studies for alternative computing in the IoT era
Track 7: Cloud Computing

Cloud computing fundamentals e.g., Application Portability, privacy and security, Interoperability, Standards, QoS, and Resource Management

Cloud operations, management Platforms, Reliability, Cloud Automation, Hybrid Clouds and Integration

Edge an fog computing

Service modeling and analytics e.g., Service Modeling and Specification, Service Simulation, Cost Analysis, Service Performance Analytics

Mobile cloud computing

Mobile Cloud Architectures and Models

Mobile Commerce, Handheld Commerce and e-markets on Cloud

Cloud computing platforms and applications such as Access Control, Design Patterns, Data Centers, Storage and Networking Technologies, Middleware Frameworks, and Development Methods

Cloud computing enabling technologies such as API Management, Virtualization Technologies, Application Containers, Microservices and Lambda Functions, Cloud Optimization and Automation, Cloud Migration, Monitoring of Services, Quality of Service, Service Level Agreements
Track 8: Programming Language and Software Engineering

Agile software development – Apps and app store analysis

Autonomic and (self-) adaptive systems – Cloud computing

Component-based software engineering – Configuration management and deployment

Crowd sourced software engineering – Cyber physical systems

Debugging, fault localization, and repair – Dependability, safety, and reliability

Distributed and collaborative software engineering – Embedded software

Empirical software engineering – End-user software engineering

Formal methods – Green and sustainable technologies

Human and social aspects of software engineering – Human-computer interaction

Middleware, frameworks, and APIs – Mining software engineering repositories

Mobile applications – Model-driven engineering

Parallel, distributed, and concurrent systems – Performance

Program analysis – Program comprehension

Program synthesis – Programming languages

Recommendation systems – Refactoring

Requirements engineering – Reverse engineering

Search-based software engineering – Security, privacy and trust

Software architecture – Software economics and metrics

Software evolution and maintenance – Software modeling and design

Software performance – Software process

Software product lines – Software reuse

Software services – Software testing

Software visualization – Specification and modeling languages

Tools and environments – Traceability

Ubiquitous/pervasive software systems – Validation and verification
Track 9: Big Data

Big Data fundamentals – Services Computing, Techniques, Recommendations and Framework

Modeling, Experiments, Sharing Technologies & Platforms

SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies

Data Center Enabled Technologies

Sensor, Wireless Technologies, APIs

Networking and Social Networks

Data Management for Large Data

Security, Privacy and Risk

Software Frameworks (MapReduce, Spark etc) and Simulations

Modern Architecture

Volume, Velocity, Variety, Veracity and Value

Social Science and Implications for Big Data
Track 10: Artificial Intelligence, Machine Learning, Cognitive Computing, and Advanced Analytics

Mobile Data analysis, management and processing for IoT

Information fusion for mobile data for IoT

Deep learning models, architectures and algorithms for Big Data for IoT

Brain-inspired representations learning of Big Data for IoT

Edge/for/cloud computing for Big Data and Smart Data for IoT

Security, privacy and trust in Big Data and Smart Data for IoT

Security, privacy and trust in Internet of Things

Streaming data learning algorithms for IoT

Intelligent decision-making systems for Big Data and Smart Data in IoT

Prediction methods for Big Data and Smart Data applications in IoT

Evolutionary computing in Big Data in IoT

Swarm Intelligence and Big data for IoT

Handling uncertainty and incompleteness in Big Data and Smart Data for IoT

Applications of Fuzzy Set theory, Rough Set theory, and Soft Set theory in Smart Data for IoT

Open issues for Smart Data in IoT

Swarm Intelligence algorithms for cloud-based Internet of Things

Machine learning for cloud-based Internet of Things

Multi-agent systems for cloud-based Internet of Things

Natural language processing for cloud-based Internet of Things

Cognitive aspects of AI in cloud-based Internet of Things

Intelligent interfaces for cloud-based Internet of Things

Fuzzy systems for cloud-based Internet of Things

Neural networks for cloud-based Internet of Things

Genetic algorithms for cloud-based Internet of Things

Deep learning for cloud-based Internet of Things

Heterogeneous memory systems design for AI in cloud-based Internet of Things
Track 11: Evolutionary Computer Vision, Image Processing and Pattern Recognition

3D Reconstruction

3D Models processing

Augmented and Virtual Reality applications

Robotic applications

Serious Game for Cultural Heritage

Advanced Image enhancement and de-noising

Advanced Image classification and retrieval

Semantic segmentation

Virtual restoration

Image processing

Edge detection

Image segmentation

Automatic feature extraction and construction in complex images

Object identification and scene analysis

Object detection and classification

Handwritten digit recognition and detection

Vehicle plate detection

Face detection and recognition

Texture image analysis

Automatic target recognition

Gesture identification and recognition

Robot vision

Signal Processing

Typical pattern recognition tasks such as classification, regression and clustering

Feature selection/construction and dimensionality reduction

Generalization, transfer learning, and domain adaptation

Medical and bio-medical data analysis
Track 12: Automation Systems

Automated Guided Vehicles

Embedded Systems

Factory Modeling and Automation

Flexible Manufacturing Systems

Integrated Manufacturing

Interfaces and Human Computer Interaction

Learning Systems, Manufacturing Systems

Monitoring and Supervision

Process Automation

Robotics

Smart Structures

Factory modeling, analysis and performance evaluation

Industry 4.0 and Cyber-Physical Systems

Intelligent cooperation to resource planning & allocation

Service innovation

Product and process optimization based on IoT and big data analytics
Track 13: Automotive Systems

Automotive Design Tools and Methodologies

Automotive Systems & Software Architectures

Safety, Security, and Reliability

Overview of current efforts to build self-driving vehicles;

Historical perspective with an emphasis on trends, and technological and societal impacts;

Scaling the technology to real-world situations

Cloud-based vehicle autonomy

Learning technology’s role in self-driving vehicles

Generalizing from small numbers of examples or small amounts of data

Sensing systems’ and perception algorithms’ successes and limitations

The role of and technology for machine reasoning and decision making

Simulation models for sensors, vehicles, environments, and other elements

Self-driving systems’ computational and power requirements

How to verify and validate autonomous functions, measure performance, and build trust

The role of maps and vehicle-to-vehicle infrastructure

Ethical and legal considerations from a technology perspective
Track 14: Intelligent IoT eHealth

Internet of things for medical and healthcare applications

Novel devices and circuits, and architectural support for healthcare-aware IoT

Nano-CMOS and Post-CMOS based sensors, circuits, and controller

Wearable and implantable computing and biosensors

Cloud-enabled body sensor networks

Secure middleware for eHealth and IoT

Energy-efficient PHY/MAC and networking protocols for eHealth applications

Reprogrammable and reconfigurable embedded systems for eHealth

eHealth traffic characterization

eHealth oriented software architectures (Agent, SOA, Middleware, etc.)

Big-data analytics, machine learning algorithms and scalable/parallel/distributed algorithms

Theory and practice of engineering semantic e-health systems, especially methods, means and best cases

Fog computing/Edge clouds for health care cloud resource allocation and monitoring

Privacy preserving and Security approaches for large scale analytics

Fault tolerance, reliability and scalability

Case studies of smart eHealth architectures (telemedicine applications, health management applications, etc.)

Autonomic analysis, monitoring and situation alertness
Track 15: Enterprise Architecture

Enterprise Engineering

Enterprise Architecture Models and Frameworks

Enterprise Knowledge Engineering and Management

Business Modelling and Business Process Management

Enterprise Architecture Adoption and Governance

Enterprise Architecture and Organizational Theory and System Development

Enterprise Architecture and Service Oriented Architecture (SOA)

Methods, Processes and Patterns for Enterprise Architecture Development

Measurements, Metrics and Evaluation of Enterprise Architecture Plan

Business-Information Technology (IT) Alignment

Architectures and Design Principles for Enterprise Repositories

Agile Enterprise Architecture

Maturity Models for Enterprise Architecture Artifacts and Processes

Evolution of Enterprise Architecture

Submission Deadline


COINS 2019: International Conference on Omni-layer Intelligent systems submission deadline is 2018-12-31.

Note: It is generally recommended to submit your conference paper on or before the submission deadline. Generally, conferences do not encourage to submit the research paper after the deadline is over. In rare scenarios, conferences extend their deadline. Decision about the extension of the deadline is generally updated on the official conference webpage.


Notification date


Notification date of COINS 2019: International Conference on Omni-layer Intelligent systems is 2019-01-31.

Note: This is the date on which conference announces the result about acceptance or rejection of submitted papers. If your research paper is accepted, the conference will request you to submit the camera ready version of your research paper by the due date. Due date to submit the camera ready version of the paper is generally posted on the official web page of the conferences or notified to you via. email.


Conference Date


COINS 2019: International Conference on Omni-layer Intelligent systems will start on 2019-05-05.

Note: This is the date on which the conference starts.


Conference Location


COINS 2019: International Conference on Omni-layer Intelligent systems will be organized at Crete, Greece. This is the place where the conference is organized and the research paper is to be presented.