André Amorim Email and Phone Number

As a Research and Development (R&D) Professional in Artificial Intelligence at Deepmath, I am responsible for implementing advanced Artificial Intelligence and Machine Learning methods applied to the engineering sector. This work is increasingly essential in the context of engineering simulations and their subfields, such as Computational Fluid Dynamics (CFD), mesh generation, and other related tasks like the development of the Engineering Assistant (EA), an AI system specialized in democratizing the use of Computational Fluid Dynamics (CFD) simulations and mesh optimization through reinforcement learning methods.In my role as a Data Scientist, my mission is to enhance the statistical understanding of simulations, ensuring the robustness and interpretability of the physical processes inherent to computational simulations within the engineering domain. This involves analyzing and interpreting large volumes of data, developing predictive models, and applying advanced statistical techniques to improve the accuracy and reliability of simulations. Additionally, I collaborate in creating and maintaining robust databases for training AI models, optimizing simulation processes, and facilitating informed decision-making. My work directly contributes to the democratization of CFD tools, making them more accessible and efficient for engineers, and driving technological innovation in a dynamic startup environment.

The LASA - Laboratory of Environmental Satellite Applications of the Department of Meteorology - focuses its activities on teaching and researching remote sensing techniques applied to monitoring the atmosphere and Earth's surface. Research Lines: - Application of remote sensing techniques in the analysis of environmental changes in urban, rural, and preserved areas; - Monitoring of land use and land cover, especially satellite monitoring of forest fires and wildfires; - Applications in Meteorology and Climatology; - Remote sensing of the atmosphere, especially aerosols and clouds and their interaction; - Modeling and applications of the radiative transfer equation. Users: - Undergraduate and graduate students; - Teachers and researchers; - Entities affiliated with research lines linked to the laboratory's program.As an data analyst in remote sensing, I conduct research focused on analyzing satellite data to understand, provide significant insights, and monitor atmospheric behavior of aerosols and their societal impacts, aiming to drive significants academic research and contribute to environmental understanding and preservation.This study is crucial due to the significance of aerosols in meteorology and air quality, impacting climate, human health, and ecosystems. Understanding their distribution and temporal patterns allows for more accurate air quality prediction and development of strategies to limit pollution, as well as enhancing weather and climate forecasting models, which becomes increasingly important considering the growing presence of climate extremes.

The research extension 'Smart Cities' is an initiative of the Institute of Mathematics at UFRJ (IM-UFRJ) aimed at serving as a communication channel between companies and academia, proposing solutions aligned with the state of the art in academic development to address challenging problems for businesses.

The LACPEX - Short-Term Forecasting and Extreme Events Laboratory - focuses its activities on teaching and researching short-term forecasting techniques and studying the climatic variability of dynamic and thermodynamic characteristics of the atmosphere conducive to the occurrence of extreme meteorological events. Research Lines: - Establishment of thresholds for extreme rainfall, considering their seasonal and local variability; - Study of climatic variability associated with the frequency and intensity of extreme precipitation events; - Analysis of large-scale atmospheric systems and evaluation of climatological compounds identifying anomalies in sea surface temperature, soil moisture, and other components associated with extreme rainfall events; - Analysis of compound extreme events, i.e., episodes that combine heavy rainfall with other elements such as intense wind gusts and atmospheric discharges; - Spatiotemporal evaluation of instability indices before and during the formation of heavy rains; - Identification of severity patterns of atmospheric phenomena based on radar and satellite information; - Numerical modeling of extreme events using different parameterization sets; - Application of artificial intelligence techniques (supervised and unsupervised learning) to identify possible intrinsic characteristics of the atmosphere associated with the formation of extreme events; - Investigation of observed trends over the past years in dynamic and thermodynamic atmospheric patterns favoring the occurrence of heavy rainfall; - Verification of future projections over the next decades regarding the frequency and intensity of extreme events.

Como profissional de eletrônica especializado em segurança eletrônica, fui responsável pela instalação, manutenção e gerenciamento de sistemas de alarme de incêndio, sistemas de CFTV (Circuito Fechado de Televisão) e sistemas de controle de acesso em diversos tipos de ambientes.No que se refere aos sistemas de alarme de incêndio, principal parte dos projetos da empresa, minha função envolvera realizar a análise de risco do ambiente e a especificação dos equipamentos mais adequados para a prevenção e detecção de incêndios e a configuração do sistema eletrônico.