
About Project
iMAN - Intelligence for advanced Manufacturing systems
Acronym
iMAN
Responsible
Américo Lopes de Azevedo
Status
Closed
Start
January 1, 2015
End
January 30, 2019
Effective End
January 30, 2019
Global Budget
€1,268,623.00
Financing
€1,128,520.00
Members
Team Leaders

Américo Azevedo - [PhD], he is head of CESE Centre for Enterprise Systems Engineering and Cientific Director of FABTEC Laboratory of Processes and Technologies for Production Advanced Systems
He is an Associate Professor with Aggregation in the Department of Industrial Engineering and Management at Faculty of Engineering of University of Porto (FEUP). He has gained large experience in the academic, industrial and consultancy environments.
He teaches in the academic programmes of FEUP and PBS (Porto Business School) and in specific programmes such as EDAM (Engineering Design and Advanced Manufacturing) of the MIT-Portugal Program.
His research and teaching focuses on operations management, business processes management and enterprise collaborative networks. He has been active in supervising PhD and M.Sc research thesis on this research areas.
He has been author of many articles in international journals and technical publications and also active in preparing and participating in R&D projects involving industrial companies. He has been reviewer and evaluator of several international R&D Industrial projects and member of several scientific programmes committees.
Responsible for leading more than 45 company based national and international R&D and consulting projects in the domain of enterprise networks and industrial and operations management. He has been responsible in several consulting assignments with industrial companies, with special emphasis in operations and industrial management as well as in designing and developing new facilities, process optimization and development and implementation of decision support and planning tools for order management. Experience in several sectors/industries: machinery, semiconductors, ceramics, furniture, packaging, shoes and cork processing.


João Claro is Chairman and CEO of INESC TEC, and Professor of Industrial Engineering and Management at the Faculty of Engineering of the University of Porto (FEUP). He is also Director of the PhD in Engineering and Public Policy at FEUP, and President of the Academic Council and Head of Entrepreneurship and Innovation at Porto Business School (PBS). His area of focus is Technology Management and Policy.
He currently serves as Scientific Director of the UT Austin Portugal Program. In recent years, he has worked closely with Carnegie Mellon University, namely as the National Director of the Carnegie Mellon Portugal Program, and with the Massachusetts Institute of Technology, namely as a visiting scholar.
He was a member of the Board of the European Association of Research and Technology Organisations (EARTO) between 2020 and 2023.
João Claro holds a PhD in Electrical and Computer Engineering from FEUP (2008), an MSc in Quantitative Methods in Management from PBS (2002), and an undergraduate degree in Electrical and Computer Engineering from FEUP (1993). Prior to returning to the University, he was a software engineer and information systems project manager at Edinfor (1994-1998).


António Paulo Gomes Mendes Moreira has a degree in Electrical and Computer Engineering - FEUP (1986), Electronic Instrumentation option, a Master's degree in Electrotechnical and Computer Engineering - Systems Specialisation at FEUP (1991), a PhD in Electrical and Computer Engineering (1998) and an Aggregation - FEUP (2017). He is currently a Full Professor in the Department of Electrical and Computer Engineering at the Faculty of Engineering of the University of Porto. He is also a Researcher and Coordinator of CRIIS - Centre for Industrial Robotics and Intelligent Systems and Head of the iiLab – Industry and Innovation Laboratory at INESC TEC. He carries out research essentially in Robotics, Automation and Control, with an emphasis on its application in industrial projects and technology transfer. He has participated or is still participating in 25 scientific projects, being the coordinator or researcher responsible for 7 of them. The work carried out on these projects has generated 40 projects with companies or development and technology transfer contracts, and he is the lead researcher on 18 of these projects. He also participated in the development of 18 prototypes and 2 patents, of which he is co-owner. He has contributed to the creation of two spin-off companies. More details at: https://www.cienciavitae.pt/portal/EB15-85A7-4A0D

I am Full Professor at Faculdade de Economia da Universidade do Porto (FEP) and board member of LIAAD, Laboratório de Inteligência Artificial e de Apoio à Decisão of UP. LIAAD is a unit of INESC TEC since 2007. I am Ph.D. in Management Science, Imperial College of London - Business School(2000), MSc. In Operational Research, The London School of Economics and Political Sciences (1994), and I have a first degree (5-years) in Electrical Engineering and Computer, Faculdade de Engenharia da Universidade do Porto (1993). Teaching Assistant at The London School of Economics and Political Sciences (1996-99). Visiting Professor at University of Florida (2007/08) and at Texas A& M University (2015-16).
My research interests include developing and applying Operational Research and Artificial Intelligence techniques for decision support in Management problems (including production, storage, logistics and transportation, and services), with particular interest on combinatorial optimization applications. I have authored over 60 publications (WoS) and I have been coordinating and participating in several research projects. I am Associate Editor of Journal of Combinatorial Optimization and Operations Research Forum (both Springer).
At FEP I have been lecturing, mainly in English, Operational Research and Operations Management to undergraduates, Research and Operations Management , Logistics, Decision Analysis, and Optimization to Master students and Ph.D. candidates.
At FEP have also been involved in several boards and councils (Representative Council, Scientific Board, Pedagogical Board, Scientific Committee of the Ph.D. in Management and of the Master in Modeling, Data Analysis and Decision Support Systems, among others).
I was FEP Vice-Dean and currently I am the Diretor of ISFEP – Institute of Resarch and Services of FEP.
Team Members

Américo Lopes de Azevedo

António Paulo Gomes Mendes Moreira

Luís André Freitas da Rocha

Germano Manuel Correia dos Santos Veiga

Luís Filipe Ribeiro dos Santos Guimarães

Rafael Lírio Arrais

Cláudia Daniela Costa Rocha

Héber Miguel Plácido Sobreira

Jorge Manuel Pinho de Sousa

Alexandra Sofia da Fonseca Marques
Associated 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.

Artificial Intelligence and Decision Support
Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.
