
About Project
Acronym
FORM_I40
Responsible
Rui Diogo da Costa Gama Lima Rebelo
Status
Closed
Start
January 10, 2022
End
January 31, 2022
Effective End
January 31, 2022
Global Budget
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Financing
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Website
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Members
Team Leaders

Rui Diogo Rebelo
Rui Rebelo has a degree in Electrical and Computer Engineering from the Faculty Lusíada, Famalicão (1994). His research interests include balancing, scheduling and development of new production systems.
His work comprehends different cases from development of decision support tools to industrial robotics. Since May 1995 until now he is a Senior Researcher in the Manufacturing Systems Engineering Unit (UESP) of INESC-Porto, Project Leader, actively participating in the institutions’ Research and Development (R&D) activities. He has participated in several R&D projects, including: “CEC-made-shoe: Custom, Environment and Comfort made shoe”, “EUROShoE – extended user oriented shoe enterprise“, “CICLOP - Computerised and integrated closing operations”, “FIT4U - Framework of Integrated Technologies for User Centred Products (2 European patents)

Gonçalo Reis Figueira
I am a researcher in the Center for Industrial Engineering and Management from INESC TEC, and a professor in the Department of Industrial Engineering and Management at FEUP. I hold M.Sc. and Ph.D. degrees in Industrial Engineering and Management from FEUP.
My research interests include operations management and decision support systems. I have published in international journals such as MSOM, Omega, IJPE, IJPR, COR and DSS - Google citation profile.
I have also been a researcher/consultant in several R&D projects, funded by different types of entities, in the areas of production planning, supply chain design, scheduling, inventory replenishment and artificial intelligence.

Germano Veiga
Germano Veiga is a Mechanical Engineer with a PhD in Mechanical Engineering (Robotics and Automation) (2010) by the University of Coimbra. In 2005 he was an invited researcher at the University of Lund, Sweden, and was a researcher (2002-2011) and Invited Professor (2007-2011) at the University of Coimbra.He is now Senior Researcher at INESC TEC, in Porto, and from 2016 is Auxiliar Professor at the Faculty of Engineering of the University of Porto.His research interests are mostly focused on future industrial robotics including, plug-and-produce technologies, robot programming, mobile manipulators and Human Robot Interfacing. During his PhD studies Germano was part of the FP6 SMErobot team (2005-2009) and later became member of the Exec. Committee of the FP7 ECHORD project (2009-2012)More recently Germano became the coordinator of the INESC-TEC team participating in the projects FP7-CARLoS, FP7-STAMINA, FP7-SMErobotics, H2020-ColRobot.Since January 2017 he is the Coordinator of the H2020 ScalABLE4.0 project.

Manuel Ricardo

Alípio Jorge
I am an associate professor at the Department of Computer Science of the Faculty of Science of the University of Porto and the coordinator of LIAAD , the Artificial Intelligence and Decision Support Lab of UP. LIAAD is a unit of INESC TEC (Laboratório Associado) since 2007. I am a PhD in Computer Science by U. Porto, MSc. on Foundations of Advanced Information Technology by the Imperial Collegeand BSc. in Applied Maths and Computer Science, currently Computer Science (U. Porto). My research interests are Data Mining and Machine Learning, in particular association rules, web and text intelligence and data mining for decision support. My past research also includes Inductive Logic Programming and Collaborative Data Mining. I lecture courses related to programming, information processing, data mining, and other areas of computing. While at the Faculty of Economics, where I stayed from 1996 to 2009, I launched, with other colleagues, the MSc. on Data Analysis and Decisison Support Systems, which I coordinated from 2000 to April 2008. I lead research projects on data mining and web intelligence. I was the director of the Masters in Computer Science at DCC-FCUP from June 2010 to August 2013. I co-chaired international conferences (ECML/PKD 2015, Discovery Science 2009, ECML/PKDD 05 and EPIA 01), workshops and seminars in data mining and artificial intelligence. I was Vice-President of APPIA the Portuguese Association for Artificial Intelligence.
Associated Centres
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.

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.
