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Nuno Moniz is a Researcher at LIAAD - INESC TEC and an Invited Professor at the University of Porto. He obtained his PhD in Computer Science at the Department of Computer Science in the Faculty of Science - University of Porto (Portugal), under a full scholarship awarded by FCT (Portuguese Foundation for Science and Technology). His PhD Dissertation was awarded first runner-up in the Fraunhofer Portugal Challenge 2017. In 2012, he obtained his MSc in Computer Engineering at the Polytechnic Institute of Oporto and was awarded a merit diploma for outstanding academic performance. His interests include machine learning, emphasising learning with imbalanced data, and secure/energy-efficient machine learning. Moniz has authored 20+ papers in well-reputed international conferences and journals concerning these subjects and has developed software packages and public data sets for reproducible science. Nuno Moniz is workshop organiser of LIDTA (co-located with ECML/PKDD 2017, 2018, 2020 and 2021) and COST (co-located with SIAM SDM 2018). He is the Lead Guest Editor of the Special Issue "Imbalanced Learning" with the Machine Learning Journal (Springer). He is co-coordinator of the Data Science Hub at INESC TEC, promoting technology transfer (projects and training) in data science. Also, he is a founding member of the Diversity and Inclusion Commission at INESC TEC. Moniz has participated in over 20 competitive funding proposals and has participated in four R&D projects. He is a member of the Program Committee in top-tier conferences such as KDD, IJCAI and AAA, and a reviewer in top-tier journals such as the Journal of Machine Learning, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Neural Networks and Learning Systems. Nuno Moniz is one of the authors of the mobile app meuParlamento.pt, which received several awards, national (Prémio Arquivo.pt 2019) and international (World Summit Awards 2019). He is a member of the Portuguese Association for Artificial Intelligence (APPIA).
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Identification

Personal identification

Full name
Nuno Miguel Pereira Moniz

Author identifiers

Ciência ID
2A1F-7B19-B170
ORCID iD
0000-0003-4322-1076

Email addresses

  • nmmoniz@inesctec.pt (Professional)

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Galician Upper intermediate (B2) Upper intermediate (B2) Elementary (A2) Upper intermediate (B2) Elementary (A2)
Spanish; Castilian Intermediate (B1) Intermediate (B1) Beginner (A1) Intermediate (B1) Beginner (A1)
French Beginner (A1) Elementary (A2) Beginner (A1) Elementary (A2) Beginner (A1)
Education
Degree Classification
2017/07/18
Concluded
 Ciência de Computadores (Doutoramento)
Major in Sem especialidade
Universidade do Porto Faculdade de Ciências, Portugal
"Prediction and Ranking of Highly Popular Web Content" (THESIS/DISSERTATION)
 Aprovado
2012/11/14
Concluded
 Engenharia Informática (Mestrado)
Major in Redes, Arquiteturas e Sistemas
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
"Bridging the gap between closed and open data - System proposal for the Portuguese Legislation" (THESIS/DISSERTATION)
 17
2010/02/02
Concluded
 Engenharia Informática (Licenciatura)
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
"Estimating the Number of Nodes in Wireless Sensor Networks" (THESIS/DISSERTATION)
Affiliation

Science

Category
Host institution 		Employer
2020/10/07 - Current Contracted Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2017/09/01 - 2020/10/06 Postdoc (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2013/06/01 - 2017/09/01 Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2015/10/01 - 2015/12/22 Visiting Researcher (Research) San Jose State University Charles W Davidson College of Engineering, United States
2015/07/01 - 2015/07/31 Visiting Researcher (Research) Brunel University Department of Computer Science, United Kingdom
2008/10/01 - 2009/11/05 Research Trainee (Research) Instituto Politécnico do Porto Centro de Investigação em Sistemas Computacionais Embebidos e de Tempo-Real, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2017/09/01 - Current Invited Assistant Professor (University Teacher) Universidade do Porto Departamento de Ciência de Computadores, Portugal
Projects

Grant

Designation Funders
2013/06 - 2017/05 PhD Scholarship
SFRH/BD/90180/2012
PhD Student Fellow
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação para a Ciência e Tecnologia
Concluded
2008/10 - 2009/09 Estimating the Number of Nodes in Wireless Sensor Networks
CISTER/BII/0108
Integration into Research Grant Fellow
Instituto Politécnico do Porto Centro de Investigação em Sistemas Computacionais Embebidos e de Tempo-Real, Portugal
Concluded

Contract

Designation Funders
2020/10/07 - Current Adaptive, Intelligent and Distributed Assurance Platform
POCI-01-0247-FEDER-045907
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing
2020 - Current PORT XXI - Space Enabled Sustainable Port Services
NA
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 European Space Agency
Ongoing
2018/11/01 - 2020 Randtech Update and Test Environment
INESCP–SERV–45/18
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluded
2018 - 2019 Underground Railways Activities Recognition Using Smartphone Data
PL01049
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
Outputs

Publications

Book
  1. Moniz, Nuno; Rita P. Ribeiro. Imbalanced Domain Learning with R. CRC Press. 2022.
    Accepted
Book chapter
  1. Oliveira, Alberto; Freitas, Ricardo; Jorge, Alípio; Amorim, Vítor; Moniz, Nuno; Paiva, Ana C. R.; Azevedo, Paulo J.. "Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces". In Intelligent Data Engineering and Automated Learning – IDEAL 2020, 516-523. Springer International Publishing, 2020.
    Published • 10.1007/978-3-030-62365-4_49
Conference abstract
  1. Moniz, Nuno; Susana Barbosa. "Prediction of Dansgaaard-Oeschger events using machine learning". Paper presented in European Geosciences Union 2021 General Assembly (EGU 2021), 2021.
    Accepted
Conference paper
  1. Tânia Carvalho; Moniz, Nuno. "The Compromise of Data Privacy in Predictive Performance". Paper presented in International Symposium on Intelligent Data Analysis (IDA 2021) - CORE A, 2021.
    Accepted
  2. Baghoussi, Yassine; Mendes-Moreira, Joao; Moniz, Nuno; Soares, Carlos. "Underground Train Tracking using Mobile Phone Accelerometer Data". Paper presented in IEEE 23rd International Conference on Intelligent Transportation Systems - QUALIS B1, 2020.
    Published • 10.1109/itsc45102.2020.9294569
  3. Oliveira, Mariana; Moniz, Nuno; Torgo, Luis; Santos Costa, Vitor. "Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting". Paper presented in IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019) - CORE A, 2019.
    Published • 10.1109/dsaa.2019.00024
  4. Moniz, Nuno; Ribeiro, Rita; Cerqueira, Vitor; Chawla, Nitesh. "SMOTEBoost for Regression: Improving the Prediction of Extreme Values". Paper presented in IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA 2018) - CORE A, 2018.
    Published • 10.1109/dsaa.2018.00025
  5. Cerqueira, Vítor; Pinto, Fábio; Torgo, Luís; Soares, Carlos; Moniz, Nuno. "Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles". Paper presented in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2018) - CORE A, Dublin, 2018.
    Published • 10.1007/978-3-030-10925-7_38
  6. Moniz, Nuno; Torgo, Luís. "The Utility Problem of Web Content Popularity Prediction". Paper presented in 29th ACM Conference on Hypertext and Social Media - CORE A, 2018.
    Published • 10.1145/3209542.3209573
  7. Moniz, Nuno; Branco, Paula; Torgo, Luís. "Evaluation of Ensemble Methods in Imbalanced Regression Tasks". Paper presented in 1st International Workshop on Learning With Imbalanced Domains: Theory and Applications (co-located with ECML/PKDD 2017 - CORE A), 2017.
    Published
  8. Moniz, Nuno; Branco, Paula; Torgo, Luís. "Resampling Strategies for Imbalanced Time Series". Paper presented in 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) - CORE A, 2016.
    Published • 10.1109/dsaa.2016.37
  9. Eirinaki, Magdalini; Moniz, Nuno; Potika, Katerina. "Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks". Paper presented in 2016 IEEE International Conferences on Social Computing and Networking (SocialCom 2016), 2016.
    Published • 10.1109/bdcloud-socialcom-sustaincom.2016.67
  10. Moniz, Nuno; Torgo, Luís; Eirinaki, Magdalini. "Time-Based Ensembles for Prediction of Rare Events In News Streams". Paper presented in 2016 IEEE 16th International Conference on Data Mining (CORE A*) Workshops (ICDMW 2016), 2016.
    Published • 10.1109/icdmw.2016.119
  11. Moniz, Nuno; Torgo, Luís; Rodrigues, Fátima. "Resampling Approaches to Improve News Importance Prediction". Paper presented in 2014 International Symposium on Intelligent Data Analysis (IDA 2014) - CORE A, 2014.
    Published • 10.1007/978-3-319-12571-8_19
  12. Moniz, Nuno; Rodrigues, Fátima. "Extracting structure, text and entities from PDF documents of the Portuguese legislation". Paper presented in 2012 International Conference on Knowledge Discovery and Information Retrieval (KDIR 2012), 2012.
    Published
Edited book
  1. Luís Torgo; Stan Matwin; Gary Weiss; Moniz, Nuno; Paula Branco. International Workshop on Cost-Sensitive Learning. Proceedings of Machine Learning Research. 2018.
    Published • Editor
  2. Luís Torgo; Stan Matwin; Nathalie Japkowicz; Bartosz Krawczyk; Moniz, Nuno; Paula Branco. Second International Workshop on Learning with Imbalanced Domains: Theory and Applications. Proceedings of Machine Learning Research. 2018.
    Published • Editor
  3. Luís Torgo; Bartosz Krawczyk; Paula Branco; Moniz, Nuno. First International Workshop on Learning with Imbalanced Domains: Theory and Applications. Proceedings of Machine Learning Research. 2017.
    Published • Editor
Journal article
  1. Oliveira, Mariana; Moniz, Nuno; Torgo, Luís; Santos Costa, Vítor. "Biased resampling strategies for imbalanced spatio-temporal forecasting". International Journal of Data Science and Analytics (2021): http://dx.doi.org/10.1007/s41060-021-00256-2.
    Published • 10.1007/s41060-021-00256-2
  2. Carvalho, Tânia; Faria, Pedro; Antunes, Luís; Moniz, Nuno. "Fundamental privacy rights in a pandemic state". PLoS ONE [Q2 (JCR), IF2019: 2.740] 16 6 (2021): e0252169. http://dx.doi.org/10.1371/journal.pone.0252169.
    Open access • Published • 10.1371/journal.pone.0252169
  3. Moniz, Nuno; Monteiro, Hugo. "No Free Lunch in imbalanced learning". Knowledge-Based Systems [Q1 (JCR), IF2019: 5.921] (2021): 107222. http://dx.doi.org/10.1016/j.knosys.2021.107222.
    Published • 10.1016/j.knosys.2021.107222
  4. Moniz, Nuno; Vitor Cerqueira. "Automated Imbalanced Classification via Meta-learning". Expert Systems With Applications [Q1 (JCR), IF2019: 5.452] (2021):
    Published
  5. Vitor Cerqueira; Moniz, Nuno; Carlos Soares. "VEST: Automatic Feature Engineering for Forecasting". Machine Learning [Q2 (JCR), IF2019: 2.672] (2021):
    Published • 10.1007/s10994-021-05959-y
  6. Vinagre, João; Moniz, Nuno. "Inteligência Artificial". Revista de Ciência Elementar 8 4 (2020): http://dx.doi.org/10.24927/rce2020.052.
    Published • 10.24927/rce2020.052
  7. Ribeiro, Rita P.; Moniz, Nuno. "Imbalanced regression and extreme value prediction". Machine Learning [Q2 (JCR), IF2019: 2.672] 109 9-10 (2020): 1803-1835. http://dx.doi.org/10.1007/s10994-020-05900-9.
    Published • 10.1007/s10994-020-05900-9
  8. Moniz, N; Torgo, L. "A review on web content popularity prediction: Issues and open challenges". Online Social Networks and Media [Q2 (SJR), CiteScore 2019 (Scopus): 4.1] (2019):
    Published • 10.1016/j.osnem.2019.05.002
  9. Moniz, Nuno; Torgo, Luís; Eirinaki, Magdalini; Branco, Paula. "A Framework for Recommendation of Highly Popular News Lacking Social Feedback". NEW GENERATION COMPUTING [Q4 (JCR), IF2019: 0.889] (2017):
    Published • 10.1007/s00354-017-0019-x
  10. Moniz, Nuno; Branco, Paula; Torgo, Luís. "Resampling strategies for imbalanced time series forecasting". International Journal of Data Science and Analytics (2017):
    Published • 10.1007/s41060-017-0044-3
  11. Moniz, Nuno; Louçã, Francisco; Oliveira, Márcia; Soeiro, Renato. "Empirical analysis of the Portuguese governments social network". SOCIAL NETWORK ANALYSIS AND MINING [Q2 (SJR), CiteScore 2019 (Scopus): 3.3] (2016):
    Published • 10.1007/s13278-016-0348-7
  12. Campos, Adriano; Costa, Jorge; Lopes, João Teixeira; Louçã, Francisco; Moniz, Nuno. "Representatives and Dominants: Rulers and Class Relations in Portugal". REVISTA CRITICA DE CIENCIAS SOCIAIS (2015):
    Published • 10.4000/rccs.6095
  13. Moniz, Nuno; Campos, Adriano. "Relational Data on Members of Portuguese Governments (1976 - 2014)". Data [Q2 (SJR), CiteScore 2019 (Scopus): 2.1] (2015):
    Published • 10.3390/data1010001
Journal issue
  1. Moniz, Nuno; Branco, Paula; Luís Torgo; Nathalie Japkowicz; Michal Wozniak; Shuo Wang. "Imbalanced Learning". Machine Learning (2022): https://www.springer.com/journal/10994/updates/19536896.
    Accepted
Preface / Postscript
  1. Torgo, L; Matwin, S; Weiss, G; Moniz, N; Branco, P. "Cost-Sensitive Learning: Preface". Preface to Proceedings of The International Workshop on Cost-Sensitive Learning. Proceedings of Machine Learning Research. 2018.
    Published
  2. Torgo, L; Matwin, S; Japkowicz, N; Krawczyk, B; Moniz, N; Branco, P. "2nd Workshop on Learning with Imbalanced Domains: Preface". Preface to Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications. Proceedings of Machine Learning Research. 2018.
    Published
  3. Torgo, Luís; Krawczyk, Bartosz; Branco, Paula; Moniz, Nuno. "Learning with Imbalanced Domains: Preface". Preface to Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications. Proceedings of Machine Learning Research. 2017.
    Published
Thesis / Dissertation
  1. Nuno Miguel Pereira Moniz. "Prediction and Ranking of Highly Popular Web Content". PhD, 2017. http://hdl.handle.net/10216/105897.
  2. Moniz, Nuno Miguel Pereira. "Bridging the gap between closed and open data. System proposal for the Portuguese Legislation". Master, 2012. http://hdl.handle.net/10400.22/4501.

Other

Dataset
  1. Moniz, Nuno. Multi-source social feedback of online news feeds. https://archive.ics.uci.edu/ml/datasets/News+Popularity+in+Multiple+Social+Media+Platforms.
  2. Moniz, Nuno. Real-time Election Results: Portugal 2019 Data Set. https://archive.ics.uci.edu/ml/datasets/Real-time+Election+Results%3A+Portugal+2019.
Other output
  1. autoresampling - An AutoML Approach to Solving Imbalanced Domain Learning Tasks (R Package). 2021. Moniz, Nuno. https://github.com/nunompmoniz/autoresampling.
  2. IRon - An R Package for Solving Imbalanced Regression Tasks (R Package). 2020. Moniz, Nuno; Rita P. Ribeiro. https://github.com/nunompmoniz/IRon.
  3. Real-time 2019 Portuguese Parliament Election Results Dataset. Public Dataset available on UCI Repository. 2019. Moniz, N. https://arxiv.org/abs/1912.08922.
  4. ReBoost - Boosting and SMOTEBoost implementations for Regression Tasks (R Package). 2018. Moniz, Nuno; Cerqueira, Vítor; Ribeiro, Rita P.; Chawla, Nitesh. https://github.com/nunompmoniz/ReBoost.
  5. rewind - Biased Resampling Strategies for Time Series (R Package). 2018. Moniz, Nuno; Branco, Paula; Torgo, Luis. https://github.com/nunompmoniz/rewind.
  6. Multi-Source Social Feedback of Online News Feeds. Public Dataset available on UCI Repository. 2018. Moniz, Nuno; Torgo, Luís. https://arxiv.org/abs/1801.07055.
  7. Data-Driven Relevance Judgments for Ranking Evaluation. 2016. Moniz, Nuno; Torgo, Luís; Vinagre, João. https://arxiv.org/abs/1612.06136.
  8. Socially Driven News Recommendation. 2015. Moniz, Nuno; Torgo, Luis. https://arxiv.org/abs/1506.01743.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2020/10/14 Introduction to Artificial Intelligence - Between Hype and Reality (Keynote) Symposium on Cognition, Emotion & Behavior: Artificial Intelligence,
Faculdade de Psicologia e de Ciências da Educação da Universidade do Porto
2019 Machine Learning is Gullible, Insecure and Inefficient DCC Talks
Universidade do Porto - Departamento de Ciência de Computadores
2018/12/10 Machine Learning is Gullible, Insecure and Inefficient Data Science Meetup
Data Science Portugal (Porto, Portugal)
2017/12/07 Can we anticipate highly popular web content? Farfetch Talks
Farfetch (Porto, Portugal)

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2020/10/01 - Current Quantification of Biomarkers in Drug Discovery
Supervisor
 Mestrado em Ciência de Dados (Data Science) (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/09/01 - Current Automated Privacy-Preserving Strategies
Supervisor
 Doutoramento em Ciência de Computadores (PhD)
Universidade do Porto Faculdade de Ciências, Portugal
2020/02/01 - Current Energy-Efficient Machine Learning
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2019/10/01 - 2020/09/01 Optimizing call-center operations with Reinforcement Learning
Supervisor
Universidade do Porto Faculdade de Ciências, Portugal
2018/10/01 - 2019/09/30 Early Detection of Billing Errors
Supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2018/10/01 - 2019/09/30 Payment Default Prediction
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2018/10/01 - 2019/09/30 Anticipation of Perturbances in Telco Services
Co-supervisor
 Engenharia de Redes e Sistemas Informáticos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2018/10/01 - 2019/09/30 Deep Learning Approach to Costumer Feedback Understanding
Supervisor
 Ciência de Computadores (Master)
Universidade do Porto Faculdade de Ciências, Portugal

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2021/02/01 - 2021/10/31 Local Arrangement Chair - 24th International Conference on Discovery Science (2021/10/11)
Conference (Member of the Organising Committee)
2020/09/01 - 2021/10/31 PhD Track Chair - 8th IEEE International Conference on Data Science and Advanced Analytics. (2021/10/06 - 2021/10/09)
Conference (Member of the Scientific Committee)
2020/09/01 - 2021/10/30 Local Arrangement Chair - 8th IEEE International Conference on Data Science and Advanced Analytics (2021/10/06 - 2021/10/09)
Conference (Member of the Organising Committee)
2018/09/10 - 2018/09/10 Organizer of the 2nd International Workshop on Learning with Imbalanced Domains: Theory and Applications (LIDTA'2018), co-located with ECML/PKDD 2018 (Dublin, Ireland) (2018/09/10 - 2018/09/10)
Workshop (Co-organisor)
2018/07/02 - 2018/07/02 Member of Local Organization Committee in EAIA’2018 - Advanced School on Data Science for Big Data (2018/07/02 - 2018/07/02)
Seminar (Member of the Organising Committee)
2018/05/03 - 2018/05/03 Organizer of the International Workshop on Cost-Sensitive Learning (COST'2018), co-located with SIAM SDM 2018 (San Diego, California, USA) (2018/05/03 - 2018/05/03)
Workshop (Co-organisor)
2017/03/22 - 2017/03/22 Organizer of the 1st International Workshop on Learning with Imbalanced Domains: Theory and Applications (LIDTA'2017), co-located with ECML/PKDD 2017 (Sköpje, Macedonia) (2017/09/22 - 2017/09/22)
Workshop (Co-organisor)

Jury of academic degree

Topic
Role 		Candidate name (Type of degree)
Institution / Organization
2021/04/21 Anomaly Detection for troubleshooting on Cork Stopper sorting Machines
(Thesis) Arguer
 Inês Santos Pereira (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2021/02/10 An Explainable Approach for Lung Cancer Classification and Integrative Survival Analysis using Omics Data
(Thesis) Arguer
 Bernardo Ramos (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2021/02/10 Deep Learning Solutions for Lung Cancer Characterization in Histopathological Images
(Thesis) Arguer
 João Moura (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2020/11/13 A Portuguese Flora Identification Tool Using Deep Learning
(Thesis) Arguer
 Miguel Marques (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/11/09 Detecting Abnormal Laboratory Test Results with Machine Learning
(Thesis) Arguer
 Rafael Santos (Master)
Universidade do Porto Faculdade de Ciências, Portugal
2020/07/15 Detecting and Protecting Personally Identifiable Information through Machine Learning Techniques
(Thesis) Arguer
 Carlos Silva (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2020/07/11 TrollBus, An Empirical Study Of Features For Troll Detection
(Thesis) Arguer
 Tiago Lacerda (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2019/12/18 Distributed Deep Learning for Sleep Apnea Detection on ECG signals
(Thesis) Arguer
 Ana Margarida Machado (Master)
Universidade do Minho, Portugal
2019/12/02 Exploratory Analysis of Meteorological Data
(Thesis) Arguer
 Joel Sousa (Master)
Universidade do Porto Departamento de Ciência de Computadores, Portugal
2019/11/12 Detection and Identification of Diseases in Plants Using Deep Learning
(Thesis) Arguer
 Daniel Bento (Master)
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2019/07/12 Learning to Rank with Random Forest: a case study in hostel reservations
(Thesis) Arguer
 Carolina Moreira (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2019/07/12 An optimization-based wrapper approach for utility-based data mining
(Thesis) Arguer
 Francisco Gomes (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018/07/16 Deep Learning Approach to Named Entity Recognition in Portuguese Texts
(Thesis) Main arguer
 Ivo Fernandes (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018/07/16 Deep Learning for Market Forecasts
(Thesis) Main arguer
 Gonçalo Lopes (Master)
Universidade do Porto Faculdade de Engenharia, Portugal
2018/07/16 Text Classification using Unsupervised Learning Techniques
(Thesis) Main arguer
 Ricardo Duarte (Master)
Universidade do Porto Faculdade de Engenharia, Portugal

Association member

Society Organization name Role
2018/12/19 - Current Portuguese Association for Artificial Intelligence (APPIA)

Committee member

Activity description
Role 		Institution / Organization
2018/07/01 - Current Data Science Hub - Interface between INESC TEC and industry partners for technology transfer projects in Data Science
Coordinator
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2021 - 2023 Diversity and Inclusion Commission
Member
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Conference scientific committee

Conference name Conference host
2021/10 - Current ACM The Web Conference 2022 ACM
2020 - Current IEEE International Conference on Data Science and Advanced Analytics
2019 - Current ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
2019 - Current International Joint Conference on Artificial Intelligence (IJCAI)
2019 - Current European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
2018 - Current IEEE International Conference on Machine Learning and Applications (ICMLA)
2018 - Current AAAI Conference on Artificial Intelligence (AAAI)

Course / Discipline taught

Academic session Degree Subject (Type) Institution / Organization
2020/12/10 - Current Explainable Artificial Intelligence Comissão do Mercado de Valores Mobiliários, Portugal
2020/11/17 - Current Foundations and Applications of Machine Learning. Seminar on "Imbalanced Domain Learning and Future Challenges" Doutoramento em Informática (Doutoramento) Universidade do Porto Faculdade de Ciências, Portugal
2017/02/01 - Current Fraud Detection Mestrado em Segurança Informática (Mestrado) Universidade do Porto Departamento de Ciência de Computadores, Portugal
2017/02/01 - Current Computer Programming Mestrado em Informática Médica (Licenciatura) Universidade do Porto Faculdade de Medicina, Portugal
2020/09/01 - 2021/01/15 Imperative Programming Licenciatura em Ciência de Computadores (Licenciatura) Universidade do Porto Faculdade de Ciências, Portugal
2019/09/01 - 2020/12/31 Design and Analysis of Algorithms Licenciatura em Ciência de Computadores (Licenciatura) Universidade do Porto Departamento de Ciência de Computadores, Portugal
2019 - 2019 Machine Learning, Artificial Intelligence and Deep Learning Comissão do Mercado de Valores Mobiliários, Portugal
2018/09/01 - 2018/12/31 Introduction to Computers Licenciatura em Ciência de Computadores (Licenciatura) Universidade do Porto Departamento de Ciência de Computadores, Portugal

Evaluation committee

Activity description
Role 		Institution / Organization Funding entity
2018/05/01 - 2018/12/31 Reviewer for the EU Future and Emerging Technologies Programme (CHIST-ERA)
Evaluator
 CHIST-ERA, France EU Framework Programme for Research and Innovation Future and Emerging Technologies

Journal scientific committee

Journal title (ISSN) Publisher
2019 - Current Machine Learning (1573-0565) Springer-Verlag
2019 - Current Expert Systems with Applications (0957-4174) Elsevier
2018 - Current IEEE Transactions on Neural Networks and Learning Systems (2162-2388) Institute of Electrical and Electronics Engineers
2018 - Current Information Processing & Management (0306-4573) Elsevier
2018 - Current Big Data Research (2214-5796) Elsevier
2017 - Current IEEE Transactions on Knowledge and Data Engineering (1558-2191) Institute of Electrical and Electronics Engineers
2017 - Current International Journal of Data Science and Analytics (2364-4168) Springer-Verlag

Other jury / evaluation

Activity description Institution / Organization
2021/04 - 2021/07 World Data League 2021 World Data League, Portugal
Distinctions

Award

2020 World Summit Awards 2019 Winner
International Center for New Media, Austria
2019 Winner Arquivo.pt Awards 2019
Fundacao para a Computacao Cientifica Nacional, Portugal

Fundação para a Ciência e a Tecnologia, Portugal
2018 Youth Merit Award
Associação de Jovens da Ilha do Faial (AJIFA), Portugal
2017 1st Runner-up in Fraunhofer Portugal Challenge 2017
Associação Fraunhofer Portugal Research, Portugal
2012 Merit diploma for outstanding academic performance
Instituto Politécnico do Porto, Portugal

Other distinction

2018 Vote of Praise
Legislative Assembly of the Autonomous Region of the Azores, Portugal