Using Analytics in Steel Structure Asset Management

Wednesday, August 26, 2020 | 8:00 -9:00 a.m. AWST

Join us for a webinar to discuss analytics in steel structure asset management. In this webinar, we will:

  1. Describe the components of structure corrosion prediction (predictive analytics and physical simulations)
  2. Review the process for developing an analytics-based asset management business case
  3. Review corrosion mitigation and restoration methods and best practices

This webinar is eligible for IEEE PDH credit. To earn credit, you must attend the live webinar and complete the IEEE evaluation we’ll provide to you after the webinar.


About the Presenters

John Cancian - Vice President of Asset Analytics at Osmose

John Cancian is the Vice President of Asset Analytics for Osmose. John has over 20 years of experience putting analytics methods to use in a variety of engineering and business contexts. Earlier in his career, he led the command and telemetry team for the International Space Station. John was the Infrared Discipline Chief at Pratt & Whitney and most recently the Senior Manager, Decision Sciences at Cognilytics. John has a BS in Engineering from the University of Connecticut, an MS in Aerospace Engineering from the University of Minnesota, an MS in Aeronautics and Astronautics from Stanford, and an MS in Mechanical Engineering from Yale.


John Kile - General Manager at Osmose

John Kile is the General Manager for Steel Infrastructure Solutions at Osmose. He has over 30 years of experience in construction, maintenance, storm restoration, and program development. He has been an integral part of several research projects focusing on the development of tools, methods, and standards for maintenance of transmission, distribution, and communications systems. John's primary objective at Osmose is to help utilities develop assessment and restoration programs focused on corrosion issues on steel utility structures. 



Register for this Webinar!

This webinar is intended for utility asset owners.

Access details will be sent separately 1-3 days prior to the webinar.