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Sobre

Sobre

Benedita Malheiro holds a five-year degree in Electrical Engineering, and an M.Sc. and a Ph.D. in Electrical and Computers Engineering, all from the University of Porto. She is a Coordinator Professor at the Electrical Engineering Department of Instituto Superior de Engenharia do Porto, the School of Engineering of the Polytechnic Institute of Porto, and director of the European Project Semester. She is specialized in engineering education and, as a senior researcher of the Centre of Robotics and Autonomous Systems of INESC TEC, in solving distributed, dynamic, and decentralized problems with the help of artificial intelligence (AI) and distributed computing. She is a member of AAAI, ACM, APPIA (Portuguese Association for AI) and OE, the Portuguese Engineers Association.

Tópicos
de interesse
Detalhes

Detalhes

Publicações

2023

Insect Farming – An EPS@ISEP 2022 Project

Autores
Copinet, B; Flügge, F; Margetich, LC; Vandepitte, M; Petrache, PL; Duarte, AJ; Malheiro, B; Ribeiro, C; Justo, J; Silva, MF; Ferreira, P; Guedes, P;

Publicação
Lecture Notes in Educational Technology

Abstract
Intensive cattle farming as a means of protein production contributes with the direct emission of greenhouse gases and the indirect contamination of soil and water. The public awareness towards this issue is growing in western cultures, leading to the stagnation of meat consumption and to the willingness to adopt alternative sustainable sources of protein. A solution is to farm insects as they present a reduced environmental impact and constitute a well-known source of protein. However, for westerners, eating insects implies a cultural change as they are still seen as dirty and disgusting. In 2022, a team of five EPS@ISEP students chose to design a solution for this problem followed by the assembly and test of the corresponding proof-of-concept prototype. They decided to design a home farming kit to grow mealworms driven by ethical, sustainable and the market needs. Exploring the insect life-cycle, the kit provides protein for humans and animals, chitin for soil bacteria and frass for plants. It can also be used as an educational tool for children to learn about sustainability, social responsibility and insect life-cycles, helping to overtake the cultural barrier against insect eating from a young age. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2023

Urban Exploration Game – An EPS@ISEP 2022 Project

Autores
Blaschke, L; Blauw, B; Herlange, C; Pyciak, A; Zschocke, J; Duarte, AJ; Malheiro, B; Ribeiro, C; Justo, J; Silva, MF; Ferreira, P; Guedes, P;

Publicação
Lecture Notes in Educational Technology

Abstract
Tourists nowadays tend to avoid tourist traps and are looking for engaging ways to explore cities in the limited time they have. Standard options to explore cities seldom offer a combination between efficiency and fun. Furthermore, a search for an exploration city app returns an unlimited supply of lookalike websites and apps, all claiming to be the best. This paper reports the development of QRioCity, an efficient and exciting way to explore cities, by the “Dragonics” student team. QRioCity offers users the option to sign up for a playful tour through the city of Porto using a public kiosk with an interactive touchscreen. There is no limit to the number of teams playing simultaneously nor there is need to provide personal data. The teams are led through the city using clues and are proposed assignments, like scanning QR codes, to earn points. At the end of the game, every team receives discount coupons for local shops or stores depending on their score, even when they play alone. This way QRioCity helps tourists enjoying the local city life while offering municipalities a chance to strengthen their local economy. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2023

Towards adaptive and transparent tourism recommendations: A survey

Autores
Leal, F; Veloso, B; Malheiro, B; Burguillo, JC;

Publicação
EXPERT SYSTEMS

Abstract
Crowdsourced data streams are popular and extremely valuable in several domains, namely in tourism. Tourism crowdsourcing platforms rely on past tourist and business inputs to provide tailored recommendations to current users in real time. The continuous, open, dynamic and non-curated nature of the crowd-originated data demands specific stream mining techniques to support online profiling, recommendation, change detection and adaptation, explanation and evaluation. The sought techniques must, not only, continuously improve and adapt profiles and models; but must also be transparent, overcome biases, prioritize preferences, master huge data volumes and all in real time. This article surveys the state-of-art of adaptive and explainable stream recommendation, extends the taxonomy of explainable recommendations from the offline to the stream-based scenario, and identifies future research opportunities.

2022

Stream-based explainable recommendations via blockchain profiling

Autores
Leal, F; Veloso, B; Malheiro, B; Burguillo, JC; Chis, AE; Gonzalez Velez, H;

Publicação
INTEGRATED COMPUTER-AIDED ENGINEERING

Abstract
Explainable recommendations enable users to understand why certain items are suggested and, ultimately, nurture system transparency, trustworthiness, and confidence. Large crowdsourcing recommendation systems ought to crucially promote authenticity and transparency of recommendations. To address such challenge, this paper proposes the use of stream-based explainable recommendations via blockchain profiling. Our contribution relies on chained historical data to improve the quality and transparency of online collaborative recommendation filters - Memory-based and Model-based - using, as use cases, data streamed from two large tourism crowdsourcing platforms, namely Expedia and TripAdvisor. Building historical trust-based models of raters, our method is implemented as an external module and integrated with the collaborative filter through a post-recommendation component. The inter-user trust profiling history, traceability and authenticity are ensured by blockchain, since these profiles are stored as a smart contract in a private Ethereum network. Our empirical evaluation with HotelExpedia and Tripadvisor has consistently shown the positive impact of blockchain-based profiling on the quality (measured as recall) and transparency (determined via explanations) of recommendations.

2022

Floating Trash Collector - An EPS@ISEP 2020 Project

Autores
Serafia, AB; Santos, A; Caddia, D; Zeeman, E; Castaner, L; Malheiro, B; Ribeiro, C; Justo, J; Silva, MF; Ferreira, P; Guedes, P;

Publicação
MOBILITY FOR SMART CITIES AND REGIONAL DEVELOPMENT - CHALLENGES FOR HIGHER EDUCATION, VOL 1

Abstract
Each year millions of tons of plastic end up in the oceans, lakes and rivers. In the spring of 2020, an European Project Semester team, composed of multicultural and multidisciplinary undergraduate students, decided to tackle this problem. This was achieved by designing, modelling and simulating a floating trash collector named Soaksy. The collector is expected to operate continuously and automatically on lakes at the view of everybody, becoming an educational and an environmental tool. This paper reports the team's journey from the initial studies, through the design, till the final simulation and tests.

Teses
supervisionadas

2022

APIbuster Testing Framework

Autor
PEDRO FERREIRA DE SOUSA

Instituição
IPP-ISEP

2021

Controlo de Aerogeradores para Proteção da Avifauna

Autor
JOÃO RICARDO RIBEIRO MACIO

Instituição
IPP-ISEP

2021

CloudAnchor Smart Contracts

Autor
EDUARDO HENRIQUE CARPINTEIRO VASCO

Instituição
IPP-ISEP

2021

Top-Up Forecasting of Pre-Paid Mobile Subscribers

Autor
PEDRO MIGUEL FERREIRA ALVES

Instituição
IPP-ISEP

2021

Gestão e Atualização Automática de Firmware para Câmaras de Videovigilância em Shop Floor

Autor
LUÍS MIGUEL PINTO LISBOA

Instituição
IPP-ISEP