A5057486231- Process Optimization and Integration
- Advanced Control Systems Optimization
- Risk and Portfolio Optimization
- Analytical chemistry methods development
- Simulation Techniques and Applications
- Supply Chain and Inventory Management
- Chromium effects and bioremediation
- Adsorption and biosorption for pollutant removal
- Computational Drug Discovery Methods
- Complex Systems and Decision Making
- Phosphorus and nutrient management
- Fuzzy Systems and Optimization
- Reservoir Engineering and Simulation Methods
- Advanced oxidation water treatment
- Multi-Criteria Decision Making
- Pharmaceutical and Antibiotic Environmental Impacts
- Machine Learning in Materials Science
- Advanced Multi-Objective Optimization Algorithms
- Mental Health via Writing
- Sustainable Supply Chain Management
- Optimization and Mathematical Programming
- Electrochemical Analysis and Applications
- Opinion Dynamics and Social Influence
- Engineering Education and Pedagogy
- X-ray Diffraction in Crystallography
Raytheon Technologies (Netherlands)
2022
Carnegie Mellon University
2013-2017
University of Wisconsin–Madison
2016-2017
Universidade de Taubaté
2010
Pontifical Catholic University of Rio de Janeiro
2007-2009
Motivated by a real-world industrial problem, this work deals with the integration of planning and scheduling in operation network batch plants. The consists single-stage, multiproduct plants located different sites, which can exchange intermediate products order to blend them obtain finished products. time horizon is given divided into multiple periods, at end which, customer demands have be exactly satisfied. model simplified aggregate formulation derived from detailed precedence-based...
Kernel regression as a data‐driven and rigorous nonparametric statistical technique to predict properties of atomic crystals is proposed. A key feature the proposed approach possibility treating predictors not only continuous, but also categorical data. The latter specifically allows predictive model capture discrete nature with regards composition (number atoms in chemical formula) spatial configuration (finite number crystallographic space groups). Another important aspect using kernel...
We propose two data-driven, optimization-based frameworks (simulation-optimization and bi-objective optimization) to account for production variability in the operations planning stage of sales (S&OP) an enterprise. Production is measured as deviation between historical planned (target) actual (achieved) rates. A statistical technique, namely, quantile regression, used model distribution values given Scenarios are constructed by sampling from inputs proposed frameworks. Advantages...
Esse trabalho tem o objetivo de apresentar uma análise dos principais aspectos sobre uso biomassas como biorreagentes na remoção metais pesados contidos em efluentes líquidos. As vantagens se utilizarem biossorventes ao invés sorventes convencionais estão notadamente relação custo-benefício inerente a essa tecnologia contemporânea. Algas, bactérias, fungos e materiais biológicos geral (casca coco, madeira, turfa, etc.) têm revelado avidez captura íons metálicos ambientes aquosos, sendo que...
Measuring social constructs such as engagement, rapport, and trust often rely heavily on surveys behavioral observations. This paper describes a method to use features identified by psychology-based language analysis, combined with machine learning, predict participant survey responses in training context based 120 dyad transcripts. The analyzed data collected from subjects performing circuit board task within the project called SCOTTIE, Systematic Communication Objectives Telecommunications...