Bernardo Sobrinho Simões de Almada Lobo

Full Professor at Industrial Engineering and Management, FEUP, and Porto Business School. Co-founder of LTPlabs (spin-off of INESC TEC and FEUP). Member of the board of Trustees ("conselho de curadores") of Fundação Belmiro de Azevedo.

His main area of activity is Management Science/Operations Research. He develops and applies advanced analytical models and methods to help make better decisions, solving managerial problems in various domains (manufacturing, health, retail and mobility), with a special focus on Operations Management.

Advanced Management Programme, INSEAD. PhD in Industrial Engineering and Management, UP. Degree in Management and Industrial Engineering (5 years degree), FEUP. Former researcher at Operations Research Center of Massachusetts Institute of Technology – MIT/ORC. Certified Analytics Professional from The Institute for Operations Research and the Management Sciences.

Former Member of the Board at INESC TEC Technology and Science. Former Vice-Academic Director of IBM Center for Advanced Studies Portugal (IBM-CAS). Co-founder of start-up Adjust Consulting (that was acquired by Glintt HealthCare).

Domains

Industrial Engineering and Management

Projects

TRUSTAI

Due to their black-box nature, existing artificial intelligence (AI) models are difficult to interpret, and hence trust. Practical, real-world solutions to this issue cannot come only from the computer science world. The EU-funded TRUST-AI project is involving human intelligence in the discovery process. It will employ 'explainable-by-design' symbolic models and learning algorithms and adopt a human-centric, 'guided empirical' learning process that integrates cognition. The project will design TRUST, a trustworthy and collaborative AI platform, ensure its adequacy to tackle predictive and prescriptive problems and create an innovation ecosystem in which academics and companies can work independently or together.

Transparent, Reliable and Unbiased Smart Tool for AI

DRIVEN

Decision Rules made Interpretable, Verifiable and Effective for governing Farfetch Network

Publications

Integrated lotsizing, scheduling and blending decisions in the spinning industry

Camargo, VCB;Almada Lobo, B;Toledo, FMB;

2021

Pesquisa Operacional

Correction to: Enhancing robustness to forecast errors in availability control for airline revenue management (Journal of Revenue and Pricing Management, (2024), 10.1057/s41272-024-00475-9)

Gonçalves, T;Almada Lobo, B;

2024

Journal of Revenue and Pricing Management

Enhancing robustness to forecast errors in availability control for airline revenue management

Gonçalves, T;Almada Lobo, B;

2024

Journal of Revenue and Pricing Management

A Data-Driven Monitoring Approach for Diagnosing Quality Degradation in a Glass Container Process

Oliveira, MA;Guimaraes, L;Borges, JL;Almada-Lobo, B;

2024

MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE, LOD 2023, PT I

View all publications

Supervised theses

Simulação de controladores lógicos programáveis com sistemas multiagente

Hugo Filipe Gonçalves Machado

UTAD-ECT

Simulação de controladores lógicos programáveis com sistemas multiagente

Hugo Filipe Gonçalves Machado

UTAD-ECT

Centres

Industrial Engineering and Management

The Centre for Industrial Engineering and Management (CEGI) is internationally recognised in the fields of decision science, optimisation, operations management and service engineering. The mission is to support organisations and communities in decision-making by harnessing the power of data to develop robust and sustainable solutions to complex problems. Research at CEGI focuses on real-world challenges like transport planning, supply chain management, healthcare service networks, industrial operations optimisation, disaster response and recovery, and the impact assessment of public policies. By resorting to Artificial Intelligence, data science and mathematical modelling, CEGI aims to understand system behaviours, improve process efficiency, increase organisational resilience, and anticipate the effects of decisions in uncertain contexts. CEGI operates across critical sectors including mobility, healthcare, retail, industry, energy, and services, focusing on digital transition and sustainability. We collaborate with academia, companies, municipal authorities, hospitals, and regulators, transforming scientific knowledge into applied solutions. We believe that evidence-based management is key to tackling the challenges of a constantly changing world.