Call for Papers

HIT - Holon Institute for Technology, Faculty of Industrial Engineering and Technology Management, invites researchers to submit abstracts for an international conference on Abnormality Detection in Industrial and Infrastructure Systems Using Machine Learning. Hybrid sessions (both virtual and physical) will enable experts worldwide to share ideas and research results.

 

The purpose of the conference is to bring together researchers, engineers, academic faculty, and practitioners interested in theoretical advances and practical applications in abnormality detection.

 

The conference will be offered in two parallel sessions:
  1. One side domain independent methodologies
  2. Technologies and practical work developed in specific application areas

* Both sessions will enable remote participation.

 

 

Conference Chair: Prof. David Perry

Keynote Speaker: Prof. Oded Maimon

Coordinators: Ms. Ilana Ben-Noon Syskal, Ms. Orly Seligmann, Dr. Eyal Brill, Dr. Arriel Benis

 

List of topics for papers:

  • Recent and updated algorithms for abnormality detection
  • Performance evaluation of abnormality detection procedures
  • Manual and automatics methods for abnormal events classification
  • HMI methodology for abnormality detection
  • Abnormality detection applications
  • Abnormality detection technology: an integration challenge
  • New technologies for abnormality detection
  • Cloud-based system for abnormality detection
  • Security issues in abnormality detection

 

Abstracts should be in English.

Selected abstracts will be invited to contribute to conference book.

 

 

Key Dates

  • 31.12
    2021     Submission Deadline
  • 01.03
    2022     Response to Authors
  • 01.04
    2022     Finalization
  • 08.06
    2022     Event
    (Full Day)