Statistical and Computational Techniques in Manufacturing

Machining.- Non traditional machining (EDM, LAM, USM, etc).-Abrasive machining.- Casting & joining.- Forming.- Powder metallurgy.- Composites & ceramics processing.- Rapid prototyping & tooling processes.- Micro and nanomanufacturing processes.- Sustainable and green manufacturing.- Manufacturing systems.- Statistical and computational techniques.- Design experiments.- Taguchi techniques.- ANOVA (Analysis of variance).- MRA (multi analysis regression).- RSM (Response surface methodology) Finite Element Method (FEM) modeling/simulation.- Artificial Neural Networks (ANNs).- Evolutionary computation.- Fuzzy logic.- Neuro-fuzzy systems.- Particle swarm optimization (PSO).- Optimization techniques of complex systems.

J. Paulo Davim received his PhD degree in Mechanical Engineering from the University of Porto in 1997 and the Aggregation from the University of Coimbra in 2005. Between 1986/96, he was a lecturer at the University of Porto. Currently, he is an Aggregate Professor at the Department of Mechanical Engineering of the University of Aveiro and the Head of MACTRIB - Machining and Tribology Research Group

http://www2.mec.ua.pt/machining . He has over 24 years of teaching and research experience in manufacturing, materials and mechanical engineering, with special emphasis in Machining & Tribology. He is the Editor-in-Chief of six 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 15 international journals and reviewer for than 50 prestigious ISI web Science journals. In addition, he has also authored and co-authored more than 20 book chapters and 300 articles in journals and

conferences (more 150 articles in ISI Web Science, h-index 16).

Personal Web page:

http://www2.mec.ua.pt/machining/pers-davim.htm

Publications:

http://www2.mec.ua.pt/machining/Publications_Mactrib.htm