08h30 - 13h00

About Event

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


FGV EMAp - Brazil

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


Centro Cultural FGV

Centro Cultural FGV

Acesso pelo Edifício Sede da FGV

Praia de Botafogo, 186

Botafogo, Rio de Janeiro - RJ, 22250-900


Acesso pelo Edifício Sede da FGV

Praia de Botafogo, 186

Botafogo, Rio de Janeiro - RJ, 22250-900

High contrast

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