Special Track: Embedded Machine Learning and Data Analytics

Chairs

 Kasem Khalil, University of Mississippi, USA

Qinglin Yang, Sun Yat-sen University, China

Topic of Interests:

  • Machine learning and AI for big data
  • Data Analytics
  • Learning in knowledge-intensive systems
  • Learning Methods and Analysis
  • Learning Problems
  • Smart city, Fog Computing, Cloud Computing, and IoT
  • Computer vision
  • Bayesian network and data mining
  • Big Data techniques, models, algorithms, infrastructure, and platform
  • Big Data search and mining, security, privacy, and trust
  • Big Data applications, tools, and systems
  • Big Data mining, and data management
  • Grid and cloud computing for Data Analytics
  • 5G and Networks for Data Analytics

Former Chairs

  • Prof. Qinglin Yang, Sun Yat-sen University, China (16th IEEE MCSoC 2023)
  • Prof. Kasem KhalilUniversity of Mississippi, USA (16th IEEE MCSoC 2023)