ASME

Journal of Computing and Information Science in Engineering

Christopher 
McComb, Ph.D.
Chris McComb

Areas of Interest

ADDITIVE MANUFACTURING
AGENT-BASED MODELING OF HUMAN SYSTEMS
HUMAN-AI COLLABORATION
MACHINE LEARNING FOR ENGINEERING APPLICATIONS
Carnegie Mellon University, USA
Christopher McComb is an Associate Professor in the Department of Mechanical Engineering at Carnegie Mellon University. He received dual B.S. degrees in Civil and Mechanical Engineering from California State University-Fresno in 2012. Later he attended Carnegie Mellon University as a National Science Foundation Graduate Research Fellow and obtained his M.S. and Ph.D. in Mechanical Engineering in 2014 and 2016, respectively. His research expertise is in design computation, with specific focuses on machine learning for engineering design, agent-based modeling of human systems, and human-AI collaboration. Application areas include design for additive manufacturing, marine energy devices, and drone delivery systems. Dr. McComb is currently serving as a Guest Editor for the JCISE Special Issue On Data Wrangling To Support Research On Engineering Design And Manufacturing.

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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.

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