ASME

Journal of Computing and Information Science in Engineering

Marc 
Mignolet, Ph.D.
Marc Mignolet

Areas of Interest

RIGID BODY DYNAMICS
STRUCTURAL DYNAMICS
UNCERTAINTY MODELING
Arizona State University, USA
Marc Mignolet is Professor in the SEMTE Faculties of Mechanical and Aerospace Engineering at Arizona State University. His research interests are in dynamics (structural dynamics, rigid body dynamics) of deterministic and stochastic systems and in uncertainty modeling and propagation. He has published more than two hundred and fifty technical articles in journals and conference proceedings. He is a Fellow of the American Society of Mechanical Engineers, a Fellow of the American Society of Civil Engineers’ Engineering Mechanics Institute, and an Associate Fellow of the American Institute of Aeronautics and Astronautics. In the past, he has served as an Associate Editor for the following ASME journals: Journal of Applied Mechanics, Journal of Turbomachinery, and Journal of Engineering for Gas Turbines and Power. He was recently awarded (2020) the European Association of Structural Dynamics (EASD) Senior Research Prize in the area of Computational Structural Dynamics. Dr. Mignolet is currently serving as a Guest Editor for the the JCISE Special Issue on Machine Intelligence for Engineering Under Uncertainties.

Return to the Editorial Board

More To Explore

Announcements

Special Issue on Geometric Data Processing and Analysis for Advanced Manufacturing

Geometric information, such as three-dimensional (3D) shapes and network topologies, has been increasingly explored in manufacturing research. For example, characterizing geometric information in 3D-printed parts, in-situ or ex-situ, opens opportunities for defect detection, quality improvement, and product customization. However, geometric data mining remains critically challenging. Geometric information is embedded in complex data structures, such as 3D point clouds, graphs, meshes, voxels, high-dimensional images, and tensors, which possess challenges for analysis due to their high-dimensionality, high-volume, unstructured, multimodality characteristics. Additional challenges stem from compromised data quality (e.g., noisy and incomplete data), the need for registration, etc.

Announcements

2023 Reviewer’s Recognition

The Editor and Editorial Board of the Journal of Computing and Information Science in Engineering would like to thank all of the reviewers for volunteering their expertise and time reviewing manuscripts in 2023. Serving as reviewers for the journal is a critical service necessary to maintain the quality of our publication and to provide the authors with a valuable peer review of their work.

LATEST PAPERS

Latest Papers from ASME's Digital Collection