Inverse Methods and Machine Learning

 

Officers

Chair: Marco Rossi | Università Politecnica delle Marche Email
Vice-Chair: Sharlotte Kramer | Sandia National Laboratories Email
Secretary: Nathan Bechle | National Forest Service Library Email

Overview

The purpose of the Technical Division on Inverse Methods and Machine Learning shall be to provide maximum technical benefits to its members by:

 

  • Providing a forum or exchange of information on inverse problems approaches, from full field measurements, in experimental mechanics.
  • Advancing inverse problems technology through timely exchange and dissemination of information.
  • Planning and coordinating, in cooperation with others, the inverse problems activities of the Society.
  • Assisting in the promotion of uniform terminology in inverse problem documentation.
  • Providing improved technical interaction between scientists, engineers, manufacturers and users of inverse problems approaches.
  • Promoting and/or organizing special sessions, symposia, short courses, workshops, manuals or monographs.
  • Interacting, assisting and cooperating with other committees, societies, associations or organizations on the topic of inverse problems.