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About

I’m a Senior Researcher and Project Manager at INESC TEC. I started my work at this institution back in 1992 as a software developer and systems & database administrator. Soon, in 1995, I embraced the project manager role and have since then led a large number of projects in multiple domains (Operations Management, Internal Logistics, Automation, Knowledge Management, Systems Architecture &  Integration, Planning & Scheduling, Benchmarking & Business Intelligence) and industries (Shoe, textile, metal tooling, Civil Construction, Chemical, Architecture, Government, Universities).

I hold a Degree in Electronics and Telecommunications by the University of Aveiro and postgraduates degrees in Management (by EGP-UP) and Medical Informatics (by the Faculty of Medicine and Faculty of Sciences of UP).   

My current main research area of interest at INESC TEC is Integrated Planning & Scheduling in the context of Industry 4.0.

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020
Publications

2020

Exploring the Linkages Between the Internet of Things and Planning and Control Systems in Industrial Applications

Authors
Soares, R; Marques, A; Gomes, R; Guardão, L; Hernández, E; Rebelo, R;

Publication
Lecture Notes in Mechanical Engineering - Progress in Digital and Physical Manufacturing

Abstract

2019

KnowBots: Discovering Relevant Patterns in Chatbot Dialogues

Authors
Rivolli, A; Amaral, C; Guardão, L; de Sá, CR; Soares, C;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
Chatbots have been used in business contexts as a new way of communicating with customers. They use natural language to interact with the customers, whether while offering products and services, or in the support of a specific task. In this context, an important and challenging task is to assess the effectiveness of the machine-to-human interaction, according to business’ goals. Although several analytic tools have been proposed to analyze the user interactions with chatbot systems, to the best of our knowledge they do not consider user-defined criteria, focusing on metrics of engagement and retention of the system as a whole. For this reason, we propose the KnowBots tool, which can be used to discover relevant patterns in the dialogues of chatbots, by considering specific business goals. Given the non-trivial structure of dialogues and the possibly large number of conversational records, we combined sequential pattern mining and subgroup discovery techniques to identify patterns of usage. Moreover, a friendly user-interface was developed to present the results and to allow their detailed analysis. Thus, it may serve as an alternative decision support tool for business or any entity that makes use of this type of interactions with their clients. © Springer Nature Switzerland AG 2019.

2010

Permutation flowshop scheduling with makespan and tardiness objectives by GRASP

Authors
Iryna Yevseyva; Jorge Pinho de Sousa; Luís Guardão

Publication
in proceedings of EURO XXIV Lisbon - 24th European Conference on Operational Research, Lisboa, Portugal

Abstract
In this work, permutation flowshop scheduling problem is considered taking into account two conflicting objectives: makespan and tardiness. For this scheduling problem, a multi-start metaheuristic, GRASP, is extended for optimizing several objectives. As a result of applying construction and local search phases of GRASP, a Pareto front of efficient solutions is obtained at each GRASP iteration. An external archive of elite solutions is kept. For intensification and diversification goals path-relinking between elite solutions is performed. The approach is tested on benchmark problems.