Journal of Computing and Information Science in Engineering

Joneja, Ph.D.

Areas of Interest

The Hong Kong University of Science and Technology, Hong Kong
Prof Joneja obtained his BTech in Mechanical Engineering from the Indian Institute of Technology at Kanpur, India. He then went to study Industrial Engineering at Purdue University, where he received his MSIE (1989) and PhD (1993). He subsequently joined the Department of Industrial Engineering and Decision Analytics at HKUST as a Professor, where he holds a joint position concurrently with the Division of Integrative Systems and Design, HKUST. Prof Joneja’s focus of research is in the area of automation of process planning, with emphasis on design representations and planning methods. He is interested in CAD/CAM issues related to manufacturing planning in areas such as machining, rapid prototyping, or mechanical assembly. The problem solving methods include a host of tools ranging from search strategies and heuristics to computational geometry and geometric reasoning. His application areas are primarily Architecture and Mechanical products.

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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.


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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