J Paulo Davim

J Paulo DavimJ. Paulo Davim is a Professor in the Department of Mechanical Engineering of the University of Aveiro, Portugal. He has more than 30 years of teaching and research experience in Manufacturing, Materials and Mechanical Engineering with special emphasi in Machining & Tribology. He has also interest in Management & Industrial Engineering and Higher Education for Sustainability & Engineering Education. He has received several scientific awards, has worked as evaluator of projects for international research agencies as well as examiner of Ph.D. thesis for many universities. He is the Editor in Chief of several international journals, Guest Editor of journals, books Editor, book Series Editor and Scientific Advisory for many international journals and conferences. Presently, he is an Editorial Board member of 30 international journals and acts as reviewer for more than 80 prestigious Web of Science journals. In addition, he has also published as editor of more than 100 books and as author of more than 10 books, 60 book chapters and 400 articles in journals and conferences. Read More Read Less

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Progress in Sustainable Manufacturing37 %
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15 Jun 2024
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Applying Drones to Current Societal and Industrial Challenges37 %
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26 May 2024
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Computational Design and Digital Manufacturing37 %
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Notes for Manufacturing Instructors37 %
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24 Feb 2024
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Friction Stir Welding and Processing
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Higher Education for Sustainability37 %
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06 May 2024
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Smart Engineering Management37 %
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17 Apr 2024
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Recent Advances in Operations Management and Optimization37 %
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14 Mar 2024
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Management for Digital Transformation37 %
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25 Sep 2024
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Recent Advances in Industrial and Systems Engineering: Select Proceedings of Raise 202337 %
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3D Printing38 %
Publisher: De Gruyter
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06 May 2024
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Machine Intelligence in Mechanical Engineering (Woodhead Publishing Reviews: Mechanical Engineering Series)45 %
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Advances in Product Design Engineering37 %
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17 Apr 2023
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Computational Design and Digital Manufacturing37 %
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03 Feb 2023
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Progress in Sustainable Manufacturing37 %
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07 Jul 2023
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Machine Learning and Artificial Intelligence with Industrial Applications37 %
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