DIET-2022

Registration is now Closed

We have emailed all registrants with the instructions on how to join the event. If you have not recieved that email please check your spam, or contact the support@elmtreetools.com

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When

Nov. 1 - 3 2022

Where

Virtual

About the Conference

This conference focuses on how individuals, groups and companies in the nuclear industry are turning to innovative technologies and methodologies to face their challenges. Artificial Intelligence, Machine Learning, Big Data and DIET are increasingly being utilized to obtain new insight, perform analysis more efficiently and more accurately, be more sustainable and improve safety. Other technologies such as Adaptive Manufacturing, Digital Twins and Virtual Reality are being actively explored and implemented by those involved in nuclear activities and research. This international conference is seeking presentations from individuals, organizations and academia pertinent to these and other innovation technologies either deployed or being considered for deployment in the full spectrum of nuclear related activities and research. Authors require to only prepare a presentation.

Topics and Themes

The central objective of this conference is to provide a forum for exchanging views, ideas and information relating to technologies such as Artificial Intelligence, Machine Learning, Data Analysis, Big Data, DIET, Digital Twins and how these innovations may be regulated. There is a considerable recognition that through collaboration, the nuclear industry needs to move forward and deal with the challenges it faces.

Innovation has kept the nuclear industry strong for the past 60 years and it will continue to do so. In keeping with this vision, and to help direct the development of the conference program, it is proposed that the theme of the conference be: Automation using AI

The conference is a forum for sharing the latest knowledge and experiences in adopting DIET, ideas, methodologies, algorithms including different means of AI and ML, thereby helping us perform our tasks safer, more efficiently and more accurately.

The main topics of the conference include:

Data Analysis, innovative approaches/methodologies toward data and analysis
Artificial Intelligence and Machine Learning
DIET
Regulatory frameworks and Compliance
Big Data
Digital Twins
Virtual Reality
Robotics and AI
Nano-technology
Adaptive Manufacturing

New This Year!

Machine Learning Workshop

Modern Scientific Computing – Kitting Your Stack

As an individual contributor, you may be interested to support your outputs with the latest analytic techniques and being the enterprising individual that you are… you have successfully pitched your employer to provide you with the time and money required to investigate opportunities. But where do you begin spending the valuable resources you’ve been allocated? How do you set yourself, and your organization, up for success?

With the proliferation of options in terms of hardware, software, workflow, and methodology, it is difficult to understand what choices make sense.

This workshop introduces some of the most impactful stack components currently available to the practitioner. The discussion, intended to enable good choices in an overwhelmingly complex decision space, will highlight the hardware, software, development tools, workflows, and resources found on some of the most artificially intelligent desktops in the world.

If you are in your first epochs and learning an optimal path from online tutorial to online application… this very practical nuts and bolts discussion may be of use to you.

Workshop Overview

A high-level history of relevant methods, hardware, and software
Hardware CPUs, GPUs, RAM, and disks
Software operating systems, languages, libraries, and frameworks
Methods old and new
Supporting tools – IDEs, editors, code versioning, and package managers
Workflows and stacks – putting it all together
Advanced next-level use-cases
Resources

For more information, please contact:

1. Nick Torenvliet at NICK.TORENVLIET@brucepower.com

2. Aleem Juma at aleem.juma@opg.com

Machine Learning Tutorial

An easy-to-follow demo of computer vision machine learning using Python and Tensorflow.

This workshop requires some prior Python programming experience, but those without can still follow the machine learning training and inference process.

In this workshop you’ll see how to design, define, train, and use a Tensorflow model to identify different types of clothing, using the “Fashion MNIST” dataset. We will start with the basic notebook from the Tensorflow examples, then build on it, time permitting, by:

– Exploring misclassifications,

– Improving the model design,

– Reviewing overfitting, and

– Monitoring model training.

For more information, please contact Aleem Juma at aleem.juma@opg.com

Vendor Sessions

This year our conference program is presenting three full days including a new vendor discussion section.

The conference will provide invaluable opportunities for networking, professional development, exchanging ideas, technical discussions, and updates on the AI/ML-based implementations and ongoing efforts in nuclear programs.

Our speakers play a large role in the success of our conference annually, and this year will not be any different. Becoming a speaker in the vendor discussion section gives you access to our top-tier industry attendees from Canada and visibility to your organization.

To learn more about our current opportunities and to get your organization in front of who matters in the industry, please email Nazgol Shahbandi at nazgol.shahbandi@opg.com

Registration Is Now Open!

	Before September 30th	After September 30th
Members	$150	$200
Non-Members	$200	$250
Retirees	$75	$100
Students in Good Standing	$0	$50

Early Bird Date: September 30th

Our Sponsors

Become a Sponsor!

Our unique virtual platform has several sponsorship opportunities. The platform will also let you exhibit your services and products.

To view our sponsorship packages, please click here.

For more information on sponsorship packages, please contact:

1. Moe Fadaee: moe.fadaee@cns-snc.ca

2. Nicole Davies: nicole-davies01@outlook.com

Plenary Speakers

All Members

HR & Accounts

Sales & Marketing

IT Support

appointed President and Chief Executive Officer of the CNSC

Rumina Velshi

Rumina Velshi was appointed President and Chief Executive Officer of the Canadian

Head of Communication, ITER Organization

Laban Coblentz

Laban Coblentz’s career crisscrosses multiple sectors of technology, education, and sustainable development.

Chief Information Officer at Bruce Power

Todd Warnell

Todd is an incredibly energetic, thoughtful, focused,and inspiring technology and change leader,

Dean of the Centre for Arts, Design and Information Technology

Luigi Ferrara

Luigi Ferrara is a graduate with distinction of the Faculty of Architecture

President and CEO, OCNI

Bill Walker

Bill Walker joined the Organization of Canadian Nuclear Industries (OCNI) as President

Director of the Space Exploration Planning, Coordination and Advanced Concepts Division of the CSA

Christian Lange

Dr. Christian Lange is the Director of the Space Exploration Planning, Coordination

Senior Manager, IT Programs, Ontario Power Generation

Paul Dabrowksi

Paul currently leads the deployment of OPG’s data lakehouse infrastructure, “Oceanis”, via

Principal Scientist – Machine Learning, GE Research

Abhinav Saxena

Links: LinkedIn Abhinav Saxena - Google Scholar https://www.ge.com/research/project/predictive-maintenance Bio: Dr. Abhinav Saxena is a Principal Scientist, Machine

Facility Operations Director, Global First Power

Chris Dixon

In his role as Facility Operations Director, Chris Dixon brings over 27

Department of Engineering Mathematics and Internetworking Dalhousie University

Issam Hammad

Dr. Hammad is an Assistant Professor at the Department of Engineering Mathematics

Service Line Director of the Life Cycle Management & Component Integrity group at Kinectrics Inc

Daniel Gammage

Daniel is the Service Line Director of the Life Cycle Management &

Associate Scientist, Fermilab

Jennifer Ngadiuba

Jennifer is Associate Scientist at Fermilab with Wilson Fellowship working on applications

CEO DarwinAI

Sheldon Fernandez

https://www.linkedin.com/in/sheldonfernandez/

Homepage

Sheldon Fernandez is a seasoned executive, startup veteran and respected thought leader

Director, Innovation, Kinectrics Inc.

Sriram Suryanarayan

Sriram has over 25 years of professional experience in technical areas such

Chief Operating Officer at Xanadu

Rafal Janik

Rafal Janik is the Chief Operating Officer at Xanadu, where he leads

Director, Standards - Power Generation / Petroleum & Natural Gas at CSA Group

Larisa Logan

Larisa Logan is a Standards Director at Canadian Standards Association (CSA Group),

Ontario Power Generation

Kasia Izdebska

Since 2017, Kasia held the position of Innovation Lead at the X-Lab

Vice President Research Operations & Academic Partnerships, Vector Institute

Melissa Judd

As Vice President, Research Operations & Academic Partnerships at the Vector Institute,

Qii.AI

Michael Cohen

Michael H. Cohen is the CEO of Qii.AI, an AI-enabled asset visualization

Head of R&D Moltex

Andy Ballard

Andrew (Andy) Ballard has lived and worked in 5 different countries on

NRCan

Justin Hannah

Justin Hannah Director, Nuclear Energy Division, Natural Resources Canada Justin Hannah is the Director

Vendor Session Speakers

All Members

HR & Accounts

Sales & Marketing

IT Support

Senior Director of Strategic Growth and Innovation, Kinectrics

Rachna Clavero

Rachna Clavero is the Senior Director of Strategic Growth and Innovation for

Co-Founder and CTO, Clearpath Robotics & OTTO Motors

Ryan Gariepy

"Ryan Gariepy is co-founder and CTO of both Clearpath Robotics and OTTO

Submissions Are Closed!

For questions regarding technical paper submission, please contact:

Kevin Lee: Kevin.Lee@cnsc-ccsn.gc.ca

Chris Cochrane : chris.cochrane@cnsc-ccsn.gc.ca

Download Program

Organizing Committee

What Theme Say

Read what the previous attendees had to say !

Contact Us

If you need assistance please contact:

1. Moe Fadaee: moe.fadaee@cns-snc.ca

2. Nicole Davies: nicole-davies01@outlook.com

3. Elmir Lekovic (CNS Office): cns_office@cns-snc.ca

DATE
Nov. 1 - 3 2022

LOCATION
Virtual

DIET-2022

Registration is now Closed

We have emailed all registrants with the instructions on how to join the event. If you have not recieved that email please check your spam, or contact the support@elmtreetools.com

About the Conference

Topics and Themes

Innovation has kept the nuclear industry strong for the past 60 years and it will continue to do so. In keeping with this vision, and to help direct the development of the conference program, it is proposed that the theme of the conference be: Automation using AI​

The conference is a forum for sharing the latest knowledge and experiences in adopting DIET, ideas, methodologies, algorithms including different means of AI and ML, thereby helping us perform our tasks safer, more efficiently and more accurately.

The main topics of the conference include:

Data Analysis, innovative approaches/methodologies toward data and analysis

Artificial Intelligence and Machine Learning

DIET

Regulatory frameworks and Compliance

Big Data

Digital Twins

Virtual Reality

Robotics and AI

Nano-technology

Adaptive Manufacturing

New This Year!

Machine Learning Workshop

Modern Scientific Computing – Kitting Your Stack

With the proliferation of options in terms of hardware, software, workflow, and methodology, it is difficult to understand what choices make sense.

If you are in your first epochs and learning an optimal path from online tutorial to online application… this very practical nuts and bolts discussion may be of use to you.

Workshop Overview

A high-level history of relevant methods, hardware, and software

Hardware CPUs, GPUs, RAM, and disks

Software operating systems, languages, libraries, and frameworks

Methods old and new

Supporting tools – IDEs, editors, code versioning, and package managers

Workflows and stacks – putting it all together

Advanced next-level use-cases

Resources

For more information, please contact:

1. Nick Torenvliet at NICK.TORENVLIET@brucepower.com

2. Aleem Juma at aleem.juma@opg.com

Machine Learning Tutorial

Machine Learning Tutorial

An easy-to-follow demo of computer vision machine learning using Python and Tensorflow.

This workshop requires some prior Python programming experience, but those without can still follow the machine learning training and inference process.

In this workshop you’ll see how to design, define, train, and use a Tensorflow model to identify different types of clothing, using the “Fashion MNIST” dataset. We will start with the basic notebook from the Tensorflow examples, then build on it, time permitting, by:

– Exploring misclassifications,

– Improving the model design,

– Reviewing overfitting, and

– Monitoring model training.

For more information, please contact Aleem Juma at aleem.juma@opg.com

Vendor Sessions

This year our conference program is presenting three full days including a new vendor discussion section.

The conference will provide invaluable opportunities for networking, professional development, exchanging ideas, technical discussions, and updates on the AI/ML-based implementations and ongoing efforts in nuclear programs.

Our speakers play a large role in the success of our conference annually, and this year will not be any different. Becoming a speaker in the vendor discussion section gives you access to our top-tier industry attendees from Canada and visibility to your organization.

To learn more about our current opportunities and to get your organization in front of who matters in the industry, please email Nazgol Shahbandi at nazgol.shahbandi@opg.com

Registration Is Now Open!

Before September 30th

After September 30th

Members

$150

$200

Non-Members

$200

$250

Retirees

$75

$100

Students in Good Standing

$0

$50

Early Bird Date: September 30th

Our Sponsors

Become a Sponsor!

Our unique virtual platform has several sponsorship opportunities. The platform will also let you exhibit your services and products.

To view our sponsorship packages, please click here.

For more information on sponsorship packages, please contact:

1. Moe Fadaee: moe.fadaee@cns-snc.ca

2. Nicole Davies: nicole-davies01@outlook.com

Plenary Speakers

Vendor Session Speakers

Submissions Are Closed!

For questions regarding technical paper submission, please contact:

Kevin Lee: Kevin.Lee@cnsc-ccsn.gc.ca

Chris Cochrane : chris.cochrane@cnsc-ccsn.gc.ca

Organizing Committee

Innovation has kept the nuclear industry strong for the past 60 years and it will continue to do so. In keeping with this vision, and to help direct the development of the conference program, it is proposed that the theme of the conference be: Automation using AI

Chris Cochrane : chris.cochrane@cnsc-ccsn.gc.ca