4-Part Workshop: Artificial Intelligence for Polymer Development and Processing

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Workshop

Artificial Intelligence for Polymer Development and Processing

Online

Dates

All workshop days are from 11:00 AM to 12:00 PM.

September 11, 2023
September 12, 2023
September 13, 2023
September 14, 2023

Registration Information

SPE Members $600
Nonmembers $800
SPE Student Members $300

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Number of seats are limited to 25!
Reserve your spot today!

Summary

"This workshop will introduce participants to applications of AI for materials and product development and manufacturing processes, covering basic concepts and how AI and domain knowledge can be leveraged to accelerate processes, reduce costs, and innovate products. Participants will be engaged in an end-to-end AI modeling workflow on product development case studies. Participants will learn: How to apply AI in product development, How to select the right projects for AI, Basic materials informatics concepts"

Instructor

Maryam Emami, Ph.D.
CEO and Founder
Ai Materia

About the Instructor

Dr. Maryam Emami is the CEO of AI Materia, a materials and manufacturing informatics company, helping the industry to accelerate the development and deployment of next-generation materials and products. With over 15 years of experience in advanced materials and manufacturing, Dr. Emami is a recognized and visionary leader in digital transformation and innovation in the industry. Under Dr. Emami's leadership, AI Materia has explored new frontiers of AI in the field. Her commitment to excellence and drive for results have been instrumental in the company's success and AI Materia continues to be at the forefront of shaping the future of the industry.

Dr. Emami holds a Ph.D. in Chemical Engineering from McMaster University and a bachelor’s degree in petroleum engineering. She is a designated professional engineer.

Target Audience

The workshop is intended for industrial professionals, researchers, business leaders, and managers who would like to have a deeper understanding of AI in materials science and engineering and related manufacturing processes. No previous AI knowledge or coding experience is required. 




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