ASME

Journal of Computing and Information Science in Engineering

Fiona  
Zhao Ph.D.
ZhaoPS

Areas of Interest

ADDITIVE MANUFACTURING
Design and Manufacturing
SUSTAINABLE DESIGN MANUFACTURING
McGill University
Dr. Yaoyao Fiona Zhao is an Associate Professor, William Dawson Scholar, and Ram Panda Faculty Scholar in Sustainable Engineering & Design at the Department of Mechanical Engineering in McGill University, in Montreal, Canada. Dr. Zhao’s lab – the Additive Design and Manufacturing Laboratory (ADML) – is one of the leading research laboratories in additive manufacturing and sustainable manufacturing field. Her research expertise lies in the general field of design and manufacturing including the exploration of new design methods, developing efficient numerical simulation method for additive manufacturing processes, manufacturing informatics, application of machine learning in design and manufacturing, sustainable product development and intelligent manufacturing. Dr. Zhao is currently the associate editor for the Journal of Mechanical Design and a member of the editorial board of Virtual and Physical Prototyping. She has received multiple Best/Outstanding paper awards in major design and manufacturing journals and conferences. Other major awards she received include the Natural Sciences and Engineering Research Council of Canada Discovery Accelerator Supplement award in 2018, ASME Journal of Mechanical Design “Associate Editor Award” in 2019 and 2020

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Announcements

July 17 Spotlight: “Information Embedding in Additively Manufactured Parts Through Printing Speed Control” 

A recording is now available for the July 17, 2024 JCISE Spotlight talk by Professor Jitesh Panchal on paper co-authored with Karim A. ElSayed entitled “Information Embedding in Additively Manufactured Parts Through Printing Speed Control” J. Comput. Inf. Sci. Eng. J. Comput. Inf. Sci. Eng. Jul 2024, 24(7): 071005 (10 pages) Paper No: JCISE-23-1496 https://doi.org/10.1115/1.4065089.

Announcements

June 18, 2024 Spotlight: “Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset”

A recording is now available on Youtube for the June 18, 2024 Spotlight talk by Professor Christian Soize (Université Gustave Eiffel) on his paper “Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset,”

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