Miguel Alves Pereira

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Assistant professor

Instituto Superior Técnico

Portugal

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About

Dr. Miguel Alves Pereira is an Assistant Professor at Instituto Superior Técnico in Portugal. His research primarily focuses on the application of machine learning in various fields, including hospital efficiency, healthcare supply chain management, and the valuation of companies. He also investigates judicial efficiency and its implications within Europe. Dr. Pereira is committed to advancing the understanding of sustainable logistics and decision support systems in public healthcare contexts.

Recent Grants

Grant: Close

eduBEST: Education Systems Benchmarking with Frontier Techniques

Open Date: 2023-02-01

Close Date:

Grant: Close

Post-doctoral grant

Open Date: 2022-08-01

Close Date:

Grant: Close

Post-doctoral grant

Open Date: 2022-01-01

Close Date: 2022-07-01

Grant: Close

PhD scholarship

Open Date: 2019-10-01

Close Date: 2021-11-01

Grant: Close

hSNS: Portuguese public hospital performance assessment using a multi-criteria decision analysis framework

Open Date: 2018-01-01

Close Date: 2019-09-01

Articles (21)

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Collaborators (9)

Henriqueta Nóvoa

Assistant Professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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Duarte Dinis

Invited Assistant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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José Rui Figueira

Instituto Superior Técnico

PORTUGAL

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Ana Camanho

Associate Professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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Giovanna D'Inverno

Tenure-track assistant professor

Università degli Studi di Pisa Dipartimento di Economia e Management

ITALY

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Maria Silva

Associate professor

Catholic University of Portugal

PORTUGAL

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Diogo Cunha Ferreira

University of Lisbon

PORTUGAL

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Hermilio Carneiro Vilarinho Fernandes

Professor Visitante Convidado

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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Ana Sara Costa

University of Évora

PORTUGAL

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Miguel Alves Pereira

Research Interests

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Recent Grants

Articles (21)

An integrated approach to hospital efficiency using machine learning and slacks-based super-efficiency evaluation

How Efficient Is the Sustainable Management of Healthcare Supply Chains of the United Nations Member States?

An interpretable machine learning framework for explaining company valuation

Clearance rates and disposition times: Not the whole story of judicial efficiency

An integrative approach to reviewing the literature on judicial efficiency in Europe

Water Utility Service Quality Index: A customer-centred approach for assessing the quality of service in the water sector

Efficiency analysis of the innovation-driven sustainable logistics industry

Learning mobility in European higher education: How has the Union’s flagship initiative progressed?

Multi-criteria decision-aiding for public hospitals: The role of interactions among pairs of access and quality criteria

The ‘Healthcare Access and Quality Index’ revisited: A fuzzy data envelopment analysis approach

A web-based interactive decision support system for a multi-objective lot-sizing and production scheduling model

A regulatory robust conditional approach to measuring the efficiency of wholesale water supply and wastewater treatment services

Are the Portuguese public hospitals sustainable? A triple bottom line hybrid data envelopment analysis approach

A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2

Is sunshine regulation the new prescription to brighten up public hospitals in Portugal?

From a millennium to a sustainable water and sanitation development: were we there already?

The ‘Sustainable Public Health Index’: What if public health and sustainable development are compatible?

Energy storage strategy analysis based on the Choquet multi-criteria preference aggregation model: The Portuguese case

Technical and Scale Efficiency of the Brazilian Municipalities’ Water and Sanitation Services: A Two-Stage Data Envelopment Analysis

Sustainable water and sanitation for all: Are we there yet?

Measuring the efficiency of the Portuguese public hospitals: A value modelled network data envelopment analysis with simulation

Collaborators (9)

Henriqueta Nóvoa

Duarte Dinis

José Rui Figueira

Ana Camanho

Giovanna D'Inverno

Maria Silva

Diogo Cunha Ferreira

Hermilio Carneiro Vilarinho Fernandes

Ana Sara Costa

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