Seminar: Antônio J. Silva Neto

October 18, 2024

An Overview of Inverse Problem Formulations and Solutions

Antônio J. Silva Neto, Rio de Janeiro State University, Brazil

3:00 pm, UNM Centennial Engineering Center, Room 1026
Online Guests: Contact Prof. Osiński <osinski@chtm.unm.edu> for a Zoom link

Abstract: A situation often encountered in various relevant applications of engineering and science is that, in general, parameters or functions used in modelling of systems and processes may be unknown. However, partial experimental data on observable indirect quantities may be available. Using the inverse problem approach, a link between models and experiments can be constructed, allowing the determination of the unknowns of interest. The parameters and functions involved in the models present random variations, and the experimental data are always contaminated by random noise. Such characteristics should be taken into account in the formulation and solution of inverse problems. In this talk, several inverse problems in engineering and environmental modelling will be presented, considering different formulation approaches and solution techniques.

Bio: Antônio J. Silva Neto is a Full Professor in the Department of Mechanical Engineering and Energy, Polytechnic Institute, Rio de Janeiro State University. He has a diverse international education background in Mechanical/Nuclear Engineering and Applied Mathematics: Mechanical/Nuclear Engineer (1983) and M.Sc. in Nuclear Engineering (1989), both from Federal University of Rio de Janeiro, Brazil, and Ph.D. in Mechanical Engineering (North Carolina State University, 1993) with a minor in Computational Mathematics. He first worked for the Brazilian National Commission on Nuclear Energy, CNEN (1984-1986) and Promon Engineering, the largest Brazilian private company in Consulting Engineering (1986- 1997). Since 1997, he has been with Rio de Janeiro State University, becoming a Full Professor in 2013. In 2021 he started a formal institutional cooperation with research groups of SENAI CIMATEC (Manufacturing and Technology Integrated Campus) in Brazil. He is a former president of the Brazilian Society of Computational and Applied Mathematics (2014-2017), and of the Brazilian Association of Mechanical Sciences and Engineering (2009-2013). Prof. Silva Neto’s main current research areas are: inverse problems; heat and mass Transfer; radiative transfer; computational intelligence; and environmental modelling. He is serving as Associate Editor for several journals in engineering and applied mathematics: Computational & Applied Mathematics (Springer, since 2005); Journal of Heat and Mass Transfer (ASME, since 2019); Journal of Computational Mathematics and Data Science (Elsevier, since 2021); and International Journal of Data Science and Analytics (Springer, since 2023).