IEEE 7th World Forum on Internet of Things
14 June-31 July 2021 // New Orleans, Louisiana, USA

TOP1: Artificial Intelligence and Machine Learning

Description

The Internet of Things (IoT) is becoming an emerging topic with prevalent advancements in the development of hardware, software, and communication technologies.  The 2021 World Forum Artificial Intelligence and Machine Learning (AI/ML) focuses on how these advancements have impacted society and continue to evolve. The presence of connected devices for managed and platform services across the edge contributes to billions of IoT assets that provide observations and data measurements from the physical, which has facilitated the increase in the volume of collected data. AI/ML can provide insights from the data to further enhance the insights derived to support decision-making and the capabilities that IoT applications provide.

AI/ML approaches are revolutionizing data exploitation in products, processes, and services to make it possible to find meaningful patterns and perform complex analysis.  Within this topic session, we discuss AI/ML technologies and applications that further drive the next generation of IoT.

Some particular areas of interest include, but are not limited to:

  1. Cloud to Edge Computing for IoT
  2. Edge AI/ML for IoT
  3. AI/ML and IoT in a 5G and Beyond context
  4. Distributed Machine Learning for IoT
  5. Interpretable Machine Learning for IoT
  6. Deep Learning for IoT applications
  7. Reinforcement Learning for IoT applications
  8. Optimized Machine Learning for IoT
  9. Safe AI/ML for IoT

Track Co-Chairs

Anthony Smith, Florida Institute of Technology (FIT), Melbourne, Florida, USA

Dr. Anthony Smith, an Associate Professor of Computer Engineering and Sciences at Florida Institute of Technology.  He is a Director of The Center for Advanced Data Analytics and Systems, which focuses on developing intelligent systems for information analysis and exploitation.  He has extensive industry and government experience in system/software engineering and research. His work has recently focused on the intersection of complex systems for cyber-physical edge analytics and machine learning.  Dr. Smith’s professional affiliations include The National Academy of Inventors, SPIE, and IEEE.

Xavier Costa-Pérez, ICREA, i2cat, NEC Labs Europe, Barcelona, Spain

Xavier Costa-Pérez is ICREA Research Professor, Scientific Director at the i2cat Research Center, and Head of 5G Networks R&D at NEC Laboratories Europe. His research focuses on the digital transformation of a society driven by the interplay of mobile networks and AI. His team generates research results that are regularly published at top scientific venues, produces innovations that have received several awards for successful technology transfers, participates in major European Commission R&D collaborative projects, and contributes to standardization bodies such as 3GPP, ETSI NFV, ETSI MEC, and IETF. Xavier has experience raising funding both internally inside a company as well as externally in competitive public R&D programs. He has held multiple leadership positions in industry and research organizations, such as Deputy General Manager, Chief Researcher, Technology Board member, and Scientif Advisory Board Member. As a standards delegate, he contributed to multiple standardization bodies (e.g., IEEE 802.11, 802.16, WiFi Alliance, 3GPP, …) and was recognized in several standards as a top contributor. He has served on the Organizing Committees of several conferences (including IEEE Greencom, WCNC, and INFOCOM), published papers of high impact, and holds tenths of granted patents. Currently, he is serving as Associate Editor at IEEE Transactions on Mobile Computing (TMC), IEEE Transactions on Communications (TCOM), and Elsevier Computer Communications journals (COMCOM). Xavier received both his M.Sc. and Ph.D. degrees in Telecommunications from the Polytechnic University of Catalonia (UPC) in Barcelona and was the recipient of a national award for his Ph.D. thesis.