By Prof. Helcio R. B. Orlande, Escola Politécnica, Federal University of Rio de Janeiro, Brazil.
Technological advancements often require the use of indirect measurements of quantities that cannot be directly observed, within the research paradigm of inverse problems. Recently, techniques for the solution of inverse problems within the Bayesian framework of statistics have become popular. In such case, the solution of the inverse problem is recast as statistical inference of the posterior probability distribution, which takes into account the information provided by the measurements, as well as the prior information available for the model parameters. In this presentation, techniques within the Bayesian framework will be briefly reviewed and then applied to inverse problems of nowadays practical interest, such as, the characterization of construction materials and biomass, the detection of contact failures in composites and the prediction of solar energy stored in phase change materials containing nanoparticles.
Prof. Helcio Rangel Barreto Orlande obtained his B.S. in Mechanical Engineering from the Federal University of Rio de Janeiro (UFRJ) in 1987 and his M.S. in Mechanical Engineering from the same University in 1989. After obtaining his Ph.D. in Mechanical Engineering in 1993 from North Carolina State University, he joined the Department of Mechanical Engineering of UFRJ, where he was the department head during 2006 and 2007. His research areas of interest include the solution of inverse heat and mass transfer problems, as well as the use of numerical, analytical and hybrid numerical-analytical methods of solution of direct heat and mass transfer problems. He is the co-author of 4 books and more than 350 papers in major journals and conferences. He is a member of the Scientific Council of the International Centre for Heat and Mass Transfer and a Delegate in the Assembly for International Heat Transfer Conferences. He serves as an Associate Editor for the journals Heat Transfer Engineering, Inverse Problems in Science and Engineering, High Temperatures – High Pressures and International Journal of Thermal Sciences.