Prof. Xu Han is the Head of College of Mechanical and Vehicle Engineering in Hunan University, China. He obtained his Ph.D. degree in Computational Mechanics from the National University of Singapore. His research interests are computational mechanics and its application, computational inverse techniques and design optimization theories. He is a general council member of International Society of Computational Mechanics. He is also an Associate Editor of International Journal of Computational Methods and Inverse Problems in Science & Engineering, editorial board member of International Journal of Mechanics and Materials in Design, etc. He has published more than 200 research papers on the international journals and conferences, of which over 110 are indexed by SCI, with a total SCI citation number exceeding 1100. He has also published one research monograph on high-performance computational inverse techniques in non-destructive testing by CRC press and one international conference collected papers by Springer.

• Introduction.- Numerical modeling methods.- Computational inverse techniques.- Parameter inversion for numerical modeling.- Fast analysis methods of complex structures.- Meta-modeling technique.- Structural reduced-basis method.- Overview of multi-objective optimal design.- Micro multi-objective genetic algorithm.- Multi-objective optimization design based on meta-model.- Overview of optimization design with uncertainty.- Interval analysis method for uncertain optimization.- Meta-model method for uncertain optimization.

Prof. Xu Han is the Head of College of Mechanical and Vehicle Engineering in Hunan University, China. He obtained his Ph.D. degree in Computational Mechanics from the National University of Singapore. His research interests are computational mechanics and its application, computational inverse techniques and design optimization theories. He is a general council member of International Society of Computational Mechanics. He is also an Associate Editor of International Journal of Computational Methods and Inverse Problems in Science & Engineering, editorial board member of International Journal of Mechanics and Materials in Design, etc. He has published more than 200 research papers on the international journals and conferences, of which over 110 are indexed by SCI, with a total SCI citation number exceeding 1100. He has also published one research monograph on high-performance computational inverse techniques in non-destructive testing by CRC press and one international conference collected papers by Springer.

• Introduction.- Numerical modeling methods.- Computational inverse techniques.- Parameter inversion for numerical modeling.- Fast analysis methods of complex structures.- Meta-modeling technique.- Structural reduced-basis method.- Overview of multi-objective optimal design.- Micro multi-objective genetic algorithm.- Multi-objective optimization design based on meta-model.- Overview of optimization design with uncertainty.- Interval analysis method for uncertain optimization.- Meta-model method for uncertain optimization.

Prof. Xu Han is the Head of College of Mechanical and Vehicle Engineering in Hunan University, China. He obtained his Ph.D. degree in Computational Mechanics from the National University of Singapore. His research interests are computational mechanics and its application, computational inverse techniques and design optimization theories. He is a general council member of International Society of Computational Mechanics. He is also an Associate Editor of International Journal of Computational Methods and Inverse Problems in Science & Engineering, editorial board member of International Journal of Mechanics and Materials in Design, etc. He has published more than 200 research papers on the international journals and conferences, of which over 110 are indexed by SCI, with a total SCI citation number exceeding 1100. He has also published one research monograph on high-performance computational inverse techniques in non-destructive testing by CRC press and one international conference collected papers by Springer.

• Introduction.- Numerical modeling methods.- Computational inverse techniques.- Parameter inversion for numerical modeling.- Fast analysis methods of complex structures.- Meta-modeling technique.- Structural reduced-basis method.- Overview of multi-objective optimal design.- Micro multi-objective genetic algorithm.- Multi-objective optimization design based on meta-model.- Overview of optimization design with uncertainty.- Interval analysis method for uncertain optimization.- Meta-model method for uncertain optimization.