posted by user: farshadfirouzi || 3051 views || tracked by 6 users: [display]

IoTHealthcare 2020 : IEEE COINS | IoT , AI, and Big Data for Healthcare Track

FacebookTwitterLinkedInGoogle

Link: https://coinsconf.com/
 
When Jul 27, 2020 - Jul 29, 2020
Where Barcelona, Spain
Submission Deadline Apr 15, 2020
Categories    health   internet of things   big data   artificial intelligence
 

Call For Papers

COVID-19 OUTBREAK: Under all circumstances, IEEE COINS 2020 proceedings will be published, and authors of accepted papers will have the option of presenting the paper remotely.


Supported and organized by IEEE Robotics and Automation Society, IEEE Council on Electronic Design Automation, IEEE Circuits and Systems Society, IEEE e-Health Technical Committee (ComSoc), IEEE Big Data Technical Committee (ComSoc), and IEEE IoT.

IEEE COINS is the premier conference devoted to omni-layer techniques for smart IoT systems, by identifying new perspectives and highlighting impending research issues and challenges. The e-Health and Wearable IoT track at COINS seeks the latest research advancements in the convergence of automation technology, artificial intelligence, biomedical engineering, wearable and mobile computing, Internet-of-Things, and healthcare. Topics of interest include, but are not limited to, the following:

• Internet of things for medical and healthcare applications
• Mobile and e-Health sensing
• Wearable, outdoor and home-based sensors
• Novel devices and circuits, and architectural support for e-health
• Printable electronics
• Harvesting management and optimization
• 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
• Biomedical signal processing
• AI-based decision support systems for healthcare
• 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
• Privacy-Preserving Machine Learning (PPML) and Multi-party computation (MPC) techniques
• AI bias reduction approaches for mhealth and ehealth applications and ethical issues regarding nudging
• Blockchain: Opportunities for health care
• Fault tolerance, reliability, and scalability
• Autonomic analysis, monitoring and situation alertness
• Case studies of smart eHealth architectures (telemedicine applications, health management applications, etc.)

Related Resources

IoTE 2020   International Conference on Internet of Things & Embedded Systems
AI ML Big Data Vision 2020   IEEE COINS | Artificial Intelligence | Machine Learning | Deep Learning | Machine Vision | Big Data Analytics | Video Analytics | Speech Recognition | NLP
IJCAI 2021   30th International Joint Conference on Artificial Intelligence
PAKDD 2021   Pacific-Asia Conference on Knowledge Discovery and Data Mining
IoT Edge Computing AI 2021   Edge Computing Optimization Using Artificial Intelligence Methods
AI, Big Data & Multimedia for COVID 2020   MTAP (Q2): Pioneering AI, Data Science and Multimedia Techniques and Findings for COVID-19
COMIT 2020   4th International Conference on Computer Science and Information Technology
ICDM 2021   21th Industrial Conference on Data Mining
IEEE 14th MCSoC 2021   14th IEEE International Symposium on Embedded Multicore/Manycore (MCSoC 2021)
IoTCare 2021   2nd EAI International Conference on IoT and Big Data Technologies for HealthCare