Welcome

ETFA 2024 is the 29th Annual Conference of the IEEE Industrial Electronics Society (IES) focusing on the latest developments and new technologies in the field of industrial and factory automation. The conference aims to disseminate novel ideas and emerging trends, research results and practical achievements.

The ETFA 2024 conference brings together professionals from industry and academia to share cutting-edge concepts, recent developments, research results, and practical achievements in industrial and factory automation. The key goal is to foster the enhancement and application of scientific techniques, models, and tools that support the efficient desgn and operation of industrial and factory automation systems.

ETFA 2024 will be held on September 10-13, 2024 in Padova, Italy, with the following schedule:

  • Tuesday 10: Workshops
  • Tuesday 10 - Wednesday 11: Industry Forum
  • Wednesday 11 - Friday 13: Main Conference

Important Dates

Submission of papers (regular, surveys, special sessions) April 14th, 2024 Final extension: April 28th, 2024
Submission of work-in-progress, industry practice and workshop papers May 26th, 2024 Final extension: June 9, 2024
Notification of acceptance (regular and special session) May 17th, 2024 May 31th, 2024
Notification of acceptance (work-in-progres, industrial paper, and workshop papers) June 17th, 2024 July 05, 2024
Submission of final manuscripts (regular and special session) July 1st, 2024 July 05, 2024
Submission of final manuscripts (work-in-progres, industrial paper, and workshop papers) July 22, 2024

Topics of Interest

  • Information Technology in Automation
  • Industrial Communication Technologies and Systems
  • Real-Time and Networked Embedded Systems
  • Automated Manufacturing Systems
  • Industrial Control
  • Computer Vision and Human-Machine Interaction in Industrial and Factory Automation
  • Intelligent Robots & Systems
  • Intelligent Sensors, Sensor Networks, and Information Processing
  • Complex Automation Systems and Systems Engineering
  • Artificial Intelligence for Cyber-Physical Systems in Automation
  • Vehicular Embedded Systems