ASME

Journal of Computing and Information Science in Engineering

Announcements

Call for Papers: Special Issue on Large Language Models in Design and Manufacturing

JCISE welcomes the submission of state-of-the art research papers to the Special Issue on Large Language Models in Design and Manufacturing.

SPECIAL ISSUE: Challenges and Opportunities in Computing Research to Enable Next Generation Engineering Applications

This Special Issue consists of 19 position papers that identify challenges and opportunities, outline new areas of research, and point out new applications that will be enabled by advances in this field.

July 21, 2023 Spotlight: Effects of Elastoplasticity, Damage, and Environmental Exposure on the Behavior of Adhesive Step-Lap Joints

A recording is now available for the July 21, 2023, Spotlight talk by Dr. John G. Michopoulos (U.S. Naval Research Laboratory) on his paper “Effects of Elastoplasticity, Damage, and Environmental Exposure on the Behavior of Adhesive Step-Lap Joints”.

July 14, 2023 Spotlight: Generative Transformers for Design Concept Generation

A video recording is now available for the July 14, 2023, presentation by Prof. Jianxi Luo (Singapore University of Technology & Design), of his paper, “Generative Transformers for Design Concept Generation.”

May 2023 Spotlight: Data-Driven Sensor Selection for Signal Estimation of Vertical Wheel Forces in Vehicles

Video recording is now available for the May 19th Spotlight on Data-Driven Sensor Selection for Signal Estimation of Vertical Wheel Forces in Vehicles, presented by Prof. Mian Li (Shanghai Jiao Tong University).

Most Accessed Articles in 2022

JCISE is pleased to share a list of the top 20 most accessed articles in 2022.

Recording of February 2023 Spotlight: Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating

A recording is now available of the Spotlight talk by Professor Charbel Farhat (Stanford University) based on his JCISE paper: “Acceleration of a Physics-Based Machine Learning Approach for Modeling and Quantifying Model-Form Uncertainties and Performing Model Updating.”

2022 Reviewers of the Year

JCISE thanks all reviewers for volunteering their expertise and time reviewing manuscripts in 2022 and acknowledges three outstanding Reviewers of the Year: Ashish M. Chaudhari, Paul Grogan, and Grienggrai Rajchakit.

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