Abstract

Innovative technologies such as Artificial Intelligence (AI) and Machine Learning (ML) are transforming the way we live and work. The nuclear industry, just like many others, is rapidly adopting these new techniques. Embracing AI and ML allows the nuclear sector to optimize processes, enhance safety measures, and perform analysis more accurately.

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Webinar Details

You will gain valuable insights into the AI applications that are reshaping conventional practices and their implementation challenges. Discover how AI and ML are paving the way towards a safer and more efficient nuclear landscape.

Topics to Cover

  • A Brief Overview of AI
  • Challenges in Adopting AI in Nuclear
  • Applications of AI and ML in Nuclear
  • Kinectrics Advancements

Who Should Attend?

  • Professionals and researchers with an interest in AI and ML applications
  • Engineers, scientists, and data analysts involved in nuclear operations
  • Innovators and professionals driving technological advancements
  • Individuals responsible for site inspections and plant maintenance
  • Engineers specializing in nuclear engineering, safety, and energy
  • Anyone interested in understanding the opportunities for innovation and a safer nuclear future

Presenters

ABL1 Organization Moe Fadaee

Moe Fadaee

Artificial Intelligence Team Lead
ABL1 Organization Moe Fadaee

Moe Fadaee

Artificial Intelligence Team Lead

Moe Fadaee is a licensed engineer and has published several research papers in nonlinear dynamics, mechanical vibration and CFD, including works on CANDU fuel bundle dynamic behavior. Moe is a leader in machine learning at Kinectrics and has successfully implemented machine learning algorithms in several projects in the nuclear industry. He has several years of experience in high performance computing and parallel programming, machine learning and artificial intelligence. He developed several machine learning and artificial intelligence programs for academia and has been teaching Machine Learning. Moe holds a Ph.D. and M.Sc. in Mechanical Engineering, as well as an M.Sc. in Project Management and Operational Development.