Modern machine learning (ML) techniques are transforming many disciplines ranging from transportation to healthcare by uncovering patterns in data, developing autonomous systems that mimic human abilities, and supporting human decision-making.
It is my great pleasure to announce the recipients of two categories of 2018 Journal of Mechanical Design (JMD) reviewer awards.
The design of engineered materials and structures is a growing and increasingly impactful field of research that intersects materials science, engineering design, engineering mechanics, manufacturing, and data science.
With the arrival of cyber-physical systems or “internet of things” era, massive human- and machine-generated data will create unprecedented challenges and at the same time unmatched opportunities in advancing the theory, methods, tools, and practice of data-driven design for products, systems, and services
Now in its 40th year of existence, ASME’s Journal of Mechanical Design has covered a wide range of topics on behalf of the Design Engineering Division.
10/27/2016 November, 2016 | Volume 138 | Issue 11 Uncertainty quantification and propagation using probabilistic
To create a journal that addressed a breadth of topics like vibration, wear, impact, and fatigue in mechanical components – it may have seemed logical that this journal was born in the late 1970s under a rather generic moniker of “mechanical design”.
Mechanical engineers design a wide variety of structures, devices, products, and systems.
7/1/2015 Journal of Mechanical DesignJuly 1, 2015, Vol. 137, Issue 7Addressing user needs and preferences
11/1/2014 Authors: Ashok K. Goel, Daniel A. McAdams and Robert B. Stone J. Mech. Des. 136(11), 110301, Paper No: MD-14-1554; doi:
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