Journal of Computing and Information Science in Engineering

Ravani, Ph.D.
Bahram Ravani, Ph.D.

Areas of Interest

University of California – Davis, USA
Bahram Ravani is a Distinguished Professor of Mechanical & Aerospace Engineering at the University of California – Davis. He is also a Co-Director of the AHMCT Research Center – A Collaborative research Center between the University and California Department of Transportation performing research in applications of Robotics and Digital Technologies for the Civil Infrastructure. He has been a faculty member at UC-Davis since 1987. He is currently the Chair of Mechanical & Aerospace Engineering and was the chair previously from 1996 – 2001. He was also the Interim Chair of Electrical and Computer Engineering Department from 2005-2008. His areas of current research include Robotics and Mechatronics including applications of Robotics, Mechatronics and Digital Technologies in Intelligent Transportation Systems and Highway Safety, Mechanical Design and Manufacturing, and Dynamics and Biomechanics. He was a former chief Technical Editor of ASME Journal of Computing and Information Science and Engineering and ASME Journal of Mechanical Design as well as a past member of the management committee of the ASME/IEEE Transactions on Mechatronics. He was also the past chair of the board of editors for all ASME Transaction Journals. He is a fellow of ASME and a past recipient of several achievement awards including the Machine Design Award, Mechanisms and Robotics Award, Design Automation Award, Mechatronics and Embedded Systems and Applications Achievement Award from ASME and the Gustus Larson Memorial Award of Pi Tau Sigma and ASME. He has published over 160 technical publications, four patents, and a graduate level text book. Dr. Ravani received his BS degree Magna Cum Laude from Louisiana State University, Baton Rouge, LA in 1976; the MS degree from Columbia University in New York in 1978 and the Ph.D. degree from Stanford University, Stanford, CA, in 1982, all in Mechanical Engineering. He was a tenured faculty at the University of Wisconsin-Madison before moving to UC-Davis.

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