Belmiro Duarte

Adjunct Professor

Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra

Portugal

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About

Belmiro Duarte is an Adjunct Professor at Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal. His research focuses on optimization frameworks for warehouse management, robust design methodologies in pharmaceutical studies, and innovative engineering approaches in material science. Recent publications highlight his expertise in experimental design, contamination risk mitigation, and the synthesis of bio-based materials.

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Collaborators (7)

David J. Pedrosa

GERMANY

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Paulo Gomes

Polytechnic Higher Education Professor – Invited Assistant

PORTUGAL

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Fernando Bernardo

Assistant Professor

University of Coimbra

PORTUGAL

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Paula Ferreira

University of Coimbra

PORTUGAL

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Maria Moura

Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra

PORTUGAL

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Nuno Oliveira

Professor

University of Coimbra

PORTUGAL

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Ricardo Mendes

Professor

University of Coimbra

PORTUGAL

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Belmiro Duarte

Research Interests

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About

Articles (22)

Cleaning validation in pharmaceutical quality control laboratories: a structured protocol for contamination risk mitigation

Unraveling the Degradation Kinetics of Genipin-Cross-Linked Chitosan Hydrogels via Symbolic Regression

A Conceptual Engineering Approach to Developing a Bio-Based Hair Mask

A Dynamic Model-Fitting Algorithm for Batch Laboratory Data: Application to Constant-Pressure Cake Filtration Experiments

A Systematic Lean-Driven Framework for Warehouse Optimization

Compound optimal design of experiments – Semidefinite Programming formulations

Model robust designs for dose-response models

Optimal designs for efficacy-toxicity response in dose finding studies using the bivariate probit model

Information-Theoretic Criteria for Optimizing Designs of Individually Randomized Stepped-Wedge Clinical Trials

Optimum designs for clinical trials in personalized medicine when response variance depends on treatment

Using hierarchical information-theoretic criteria to optimize subsampling of extensive datasets

Modeling the Production of Nanoparticles via Detonation—Application to Alumina Production from ANFO Aluminized Emulsions

Optimum design for ill-conditioned models: K–optimality and stable parameterizations

Modeling the Batch Sedimentation of Calcium Carbonate Particles in Laboratory Experiments—A Systematic Approach

Randomizing a clinical trial in neuro-degenerative disease

On the Design of Aqueous Emulsions of Colophony Resin

Exact Optimal Designs of Experiments for Factorial Models via Mixed-Integer Semidefinite Programming

Using rheological monitoring to determine the gelation kinetics of chitosan-based systems

Optimal design of experiments for hypothesis testing on ordered treatments via intersection-union tests

Concept Development—From Academia to Industry: A Journey Motivated by the Design of Portable Thermal Slippers

Optimal design of multivariate acceptance sampling plans by variables

Optimal designs for dose-escalation trials and individual allocations in cohorts

Collaborators (7)

David J. Pedrosa

Paulo Gomes

Fernando Bernardo

Paula Ferreira

Maria Moura

Nuno Oliveira

Ricardo Mendes

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