Journal of Computing and Information Science in Engineering

Christiaan J. J.  
Paredis, Ph.D.
Chris Paredis_004

Areas of Interest

Clemson University, USA
Dr. Chris Paredis is the BMW Endowed Chair in Systems Integration in the Department of Automotive Engineering at Clemson University.  He has graduate degrees in Mechanical Engineering from the Catholic University of Leuven (Belgium) and in Electrical and Computer Engineering from Carnegie Mellon University.  Previously, he was Professor of Mechanical Engineering in the G.W. Woodruff School of Mechanical Engineering, and in the H.M. Stewart School of Industrial and Systems Engineering at Georgia Tech. From 2014-2016, he served as Program Director at the National Science Foundation, where he was responsible for programs related to systems engineering and design: Engineering and Systems Design (ESD), Systems Science (SYS), and Design of Engineering Material Systems (DEMS). In his research, Dr. Paredis focuses on Model-Based Systems Engineering, combining aspects of decision theory, information technology, simulation, and systems theory to support the design of complex engineered systems. He has served as Chair of the ASME Computers and Information in Engineering division, and as Conference Chair for the 2013 Conference on Systems Engineering Research (CSER’13) and the 2007 Computers and Information in Engineering Conference (CIE’07). He currently serves as co-Editor of the ASME book series, Advances in Computers and Information in Engineering Research, and as Associate Editor for the ASME Journal of Computing and Information Science in Engineering. He is Fellow of the ASME and received the 2007 CETL/BP Junior Faculty Teaching excellence Award, the 2007 SAE Ralph R. Teetor Educational Award, and the 2011 ASME CIE Excellence in Research Award.

Return to the Editorial Board

More To Explore


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.


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 from ASME's Digital Collection