ASME

Journal of Computing and Information Science in Engineering

Kaushal 
Desai, Ph.D.
Kaushal Desai

Areas of Interest

CNC TOOL PATH PLANNING
COMPUTER-AIDED DESIGN
COMPUTER-AIDED MANUFACTURING
PRODUCT DESIGN
PRODUCT DEVELOPMENT
SMART MANUFACTURING
Indian Institute of Technology Jodhpur, India
Dr. Kaushal A Desai is a Professor at the Department of Mechanical Engineering, Indian Institute of Technology Jodhpur, India. He is an alumnus of the Indian Institute of Technology (IIT) Delhi and worked as a guest researcher at the Manufacturing Metrology Division, National Institute of Standards of Technology (NIST), Gaithersburg, USA, and Clemson University – International Center for Automotive Research (CU-ICAR). He has been instrumental in setting up research facilities in Smart Manufacturing and Vision-based Inspection at IIT Jodhpur. His research interest involves integrating physics-based models and machine learning algorithms to develop efficient algorithms for smart manufacturing. His group also works on integrating CAD/CAM/CAE tools in the new product design and development. He is a member of the American Society of Mechanical Engineers (ASME) and has volunteered to organize symposiums for ASME conferences.

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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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