Journal of Computing and Information Science in Engineering

Bordegoni, Ph.D.
Monica Bordegoni

Areas of Interest

Politecnico di Milano, Italy
Prof. Monica Bordegoni is full professor in the Department of Mechanical Engineering at the Politecnico di Milano, Italy. She is the coordinator of the Virtual Prototyping group at the same department, and is member of the scientific board of the the makerspace POLIFactory Lab, and of the I.DRIVE Lab (research on interaction between driver, road, infrastructure, vehicle and environment) at Politecnico di Milano. Prof. Bordegoni’s interest in the area of Virtual Prototyping, Virtual/Augmented Reality technology and systems and their application in the engineering and industrial design sectors, multisensory interaction, product experience, haptic technologies and interaction, emotional engineering. She has published more than three hundred scientific articles in refereed journals and conferences. Prof. Bordegoni has received several honors and awards for her research contributions, including ASME/CIE best paper award in 2016 and ASME/CIE – VES best paper award in 2018, and the Design and Emotion 2016 Best Paper Award. She chaired the Executive Committee of the ASME-CIE Division in 2016/2017 and the ASME-CIE conference in 2016. She is member of the Advisory Board of the DesignSociety (2015-2019).

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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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