Sobre o Evento
LACIAM: January 30th - February 3rd 2023, FGV, Rio de Janeiro, Brazil
Recognizing the advances achieved by mathematics and their applications; the growing presence of applied and computational mathematics in different areas of activity; the convenience of unifying efforts to consolidate and strengthen these advances in the world; the proposal to organize the Latin American Congress on Industrial and Applied Mathematics - LACIAM comes naturally. The congress aims at bringing together researchers, students and other professionals from different centers in Latin America and other parts of the world, that work in Applied Mathematics or related fields.
The one-week program includes conferences, thematics sessions, poster presentations and panels. Special emphasis will be given to the participation of young researchers and for the creation of collaborative networks between the existing research groups. The areas of interest of the event are all the disciplines of Applied, Computational and Industrial mathematics including, but not limited to, the following fields:
- Numerical Analysis and Scientific Computing
- Control and Optimization
- Discrete Mathematics
- Statistics, Probability and Stochastic Methods
- Partial Differential Equations
- Dynamical Systems and Nonlinear Analysis
- Data Analysis and Machine Learning
- Game Theory
- Applied Mathematics in Computer Science
- Mathematics of Life Sciences (including Mathematical Biology)
- Applied Mathematics for Industry and Engineering
Apoiadores / Parceiros / Patrocinadores
Palestrantes
Alberto Paccanaro
FGV EMAp - Brazil
Machine Learning Algorithms for Making Inferences on Networks and Answering Questions in Biology, Medicine and Pharmacology
Alvaro Jose Riascos Villegas
Universidad de los Andes & Quantil - Colombia
Mathematical Models of Crime: Prediction, Discrimination, Interpretability and Equilibrium
André Luiz Diniz
Centro de Pesquisas de Energia Elétrica - CEPEL - Brazil
Modeling of Nonlinear/Nonconvex Aspects in SDDP Algorithms: Experience in the Official Models Applied to the Energy Panning of the Large-Scale Brazilian System
Claudia D'Ambrosio
Ecole Polytechnique, CNRS - France
Mathematical Optimization for Urban Air Mobility
José Luis Aragón Vera
Centro de Física Aplicada y Tecnología Avanzada, UNAM - Mexico
Pattern formation in Turing systems with space varying diffusion
Juan Carlos De Los Reyes
Centro de Modelización Matemática (MODEMAT), Escuela Politécnica Nacional - Ecuador
Bilevel Learning for Inverse Problems
Maya Stein
Center for Mathematical Modeling (CMM), Universidad de Chile - Chile
Graph Theory and Applications
Ruben Spies
Instituto de Matemática Aplicada del Litoral (IMAL) & CONICET, Argentina
Diffusion in Inverse Problems and Inverse Problems in Diffusion
Soledad Villar
Johns Hopkins University, USA
Machine Learning that Obeys Physical Law
Susana Gómez Gómez
Instituto de Matemáticas Aplicadas y Sistemas, UNAM - Mexico
Complex Applications of Industry and Environment for Global Optimization
Wil Schilders
TU Eindhoven - The Netherlands
Mathematics: Key Enabling Technology for Scientific Machine Learning
Local
Endereço
Acesso pelo Edifício Sede da FGV
Praia de Botafogo, 186
Botafogo, Rio de Janeiro - RJ, 22250-900