António Henrique Mendes de Almeida

António Almeida holds a Ph.D. in Engineering and Industrial Management from the Faculty of Engineering, University of Porto (FEUP). During his doctoral studies, he specialized in developing innovative AI-based methods for performance management and control in complex industrial environments. In the meantime, he worked as a Business Analyst at Sonae and as a Principal Product Manager at Farfetch, focusing on IT solutions related to logistics and supply chain.

Currently, he is the Coordinator of the Center for Engineering and Industrial Management (CEGI) at INESC TEC, where he oversees a portfolio of European and national research projects focused on twin transition, digital transformation, and sustainability. In parallel, he is a Visiting Adjunct Professor at the Faculty of Engineering, University of Porto, and at the Instituto Superior de Engenharia, teaching in the fields of Engineering and Industrial Management and Mechanical Engineering, respectively.

Domains

Industrial Engineering and Management

Projects

T4CDTKC

This project aims to outline an innovative training program oriented to the development of skills around the themes inherent to the i4.0 industry. Within this scope, the structure of the programme is defined, the production of the thematic contents to be explored based on the pedagogical methodology adopted. A teaching-learning methodology centred on an online platform is explored, having as central element a collection of videos complemented by a set of 'handouts' that organise the set of key messages and 'take-ways' associated to each module.

DigTrafoRIS

The objetive of the project Digital Transformation in RIS (DigTrafoRIS) is to: 1. Enhance the Digital Transformation capability of manufacturing SMEs in EIT countries of the Regional Innovation Scheme (RIS) 2. Offer direct Digitalization services, e.g. consulting, training, and demonstration, to >20 companies in multiple EIT RIS countries 3. Provide roadmap recommendations

View all projects

Publications

Methodology for Implementing a Manufacturing Execution System in the Machinery and Equipment Industry

Costa, L;Almeida, A;Reis, L;

2024

5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023

Semantic Asset Administration Shell Towards a Cognitive Digital Twin

Moreno T.;Sobral T.;Almeida A.;Soares A.L.;Azevedo A.;

2024

Lecture Notes in Mechanical Engineering

Application of Augmented Reality to Support Manufacturing Resilience

Ramalho F.R.;Moreno T.;Soares A.L.;Almeida A.H.;Oliveira M.;

2024

Lecture Notes in Mechanical Engineering

Digital Twin in complex operations environments: potential applications and research challenges

Ghanbarifard, R;Almeida, AH;Azevedo, A;

2023

Proceedings - 2023 3rd Asia Conference on Information Engineering, ACIE 2023

View all publications

Supervised theses

Impacts of Business Intelligence and Analytics on Management Assounting and control

Paulo Jorge da Cunha Ribeiro

UP-FEP

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.