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I am from Coimbra, Portugal, and I have studied Mathematics (B.Sc. and M.Sc.) at the University of Coimbra. I am a Ph.D. in Transportation Systems (within the collaborative framework of the MIT-Portugal Doctoral Program) with a heavy focus on Machine Learning and Data Science tools. I was recently a research assistant and then a postdoctoral researcher at the Technical University of Denmark (DTU), where I was a member of the Machine Learning for Smart Mobility (MLSM) group at DTU Management. Currently, I am a postdoctoral researcher and a full member of the Center for Informatics and Systems of the University of Coimbra (CISUC) within the Adaptive Computation Group (ACG). My main general interests are Statistics, Bayesian Statistics, Data Science, Big Data, Data Mining, Machine Learning, Simulation Models, and Intelligent Transportation Systems, despite being open to virtually any research field and application domain.
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Identification

Personal identification

Full name
Francisco José Nibau Antunes

Citation names

  • Antunes, Francisco

Author identifiers

Ciência ID
BC19-8174-D4F4
ORCID iD
0000-0001-5286-866X
Google Scholar ID
o45NPSwAAAAJ
Researcher Id
W-6464-2019
Scopus Author Id
56938124600

Email addresses

  • fnibau@dei.uc.pt (Professional)

Addresses

  • Center for Informatics and Systems of the University of Coimbra (CISUC), Pólo II - Pinhal de Marrocos, , 3000-296, Coimbra, Coimbra, Portugal (Professional)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics
  • Exact Sciences - Computer and Information Sciences
  • Exact Sciences - Mathematics

Languages

Language Speaking Reading Writing Listening Peer-review
English Intermediate (B1) Advanced (C1) Advanced (C1) Advanced (C1)
French Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Spanish; Castilian Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Portuguese (Mother tongue) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Education
Degree Classification
2016 - 2020/09/30
Concluded
 Doutoramento em Sistemas de Transporte (Doutoramento)
Universidade de Coimbra, Portugal

MIT-Portugal Program, Portugal
2015/11/26
Concluded
 Advanced Studies in Transport Systems (Diploma de especialização)
Universidade de Coimbra, Portugal
2010 - 2012
Concluded
 Mestrado em Matemática (Mestrado)
Universidade de Coimbra, Portugal
2007 - 2010
Concluded
 Licenciatura em Matemática (Licenciatura)
Universidade de Coimbra, Portugal
Affiliation

Science

Category
Host institution 		Employer
2023/08/07 - Current Postdoc (Research) Universidade de Coimbra, Portugal
2020/12/01 - 2021/11/30 Research Assistant (Research) Danmarks Tekniske Universitet, Denmark

Teaching in Higher Education

Category
Host institution 		Employer
2024/02 - 2024/07 Invited Assistant Professor (University Teacher) Universidade de Coimbra, Portugal
Universidade de Coimbra Departamento de Engenharia Informática, Portugal
2023/09 - 2024/02 Invited Adjunct Teacher (Polytechnic Teacher) Instituto Politécnico de Coimbra, Portugal
Instituto Politécnico de Coimbra Instituto Superior de Contabilidade e Administração de Coimbra, Portugal

Others

Category
Host institution 		Employer
2013/05/01 - Current Researcher Universidade de Coimbra, Portugal
2021/12/01 - 2022/11/30 Postdoctoral Researcher Danmarks Tekniske Universitet, Denmark
2020/09/01 - 2020/11/30 Visiting PhD Student Danmarks Tekniske Universitet, Denmark
2018/09/01 - 2019/01/01 Visiting PhD Student MIT-Portugal, Portugal
Massachusetts Institute of Technology, United States
2015/03/01 - 2015/07/31 Technical Researcher Instituto Pedro Nunes, Portugal
Projects

Grant

Designation Funders
2020/06/01 - 2022/11 NOSTROMO - Next-generation Open-Source Tools for ATM performance Modelling and Optimisation
892517
Researcher
Concluded
2016/09 - 2016/09 SusCity: Urban data driven models for creative and resourceful urban transitions
MITP-TB/CS/0026/2013
 Fundação para a Ciência e a Tecnologia
2015/03/01 - 2015/07/31 INOVWINE II - Innovation in Wine and Vineyard Rows
FCOMP-01-0202-FEDER-30272
Research Fellow
Fundação para a Ciência e a Tecnologia
2013/05/01 - 2014/03/31 Crowds - Understanding urban land use from digital footprints of crowds
PTDC/EIA-EIA/115014/2009
Research Fellow
Fundação para a Ciência e a Tecnologia

Contract

Designation Funders
2023/08 - Current NextGenAI - Centre For Responsible AI
C645008882-00000055
Post-doc
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Ongoing
2019/01/01 - 2019/12/31 Research Centre for Territory, Transports and Environment
UID/Multi/04427/2019
Universidade de Coimbra, Portugal

Centro de Investigação do Território Transportes e Ambiente, Portugal

Universidade do Porto Faculdade de Engenharia, Portugal
Fundação para a Ciência e a Tecnologia
Concluded
2019/01/01 - 2019/12/31 INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA - INESC COIMBRA
UID/Multi/00308/2019
UIDB/00308/2020
10.54499/UIDB/00308/2020
Instituto de Engenharia de Sistemas e Computadores de Coimbra, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded

Other

Designation Funders
2016/06/01 - 2018/05/31 URBY.SENSE - Urban mobility analysis and prediction for non-routine scenarios using digital footprints
PTDC/ECM-TRA/6803/2014
Researcher
Universidade de Coimbra, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
Outputs

Publications

Book chapter
  1. Antunes, Francisco. "Directional Grid-based Search for Simulation Metamodeling using Active Learning". 32-46. 2020.
  2. Antunes, Francisco; O’Sullivan, Aidan; Rodrigues, Filipe; Pereira, Francisco. "A Review of Heteroscedasticity Treatment with Gaussian Processes and Quantile Regression Meta-models". In Seeing Cities Through Big Data, 141-160. Cham: Springer International Publishing, 2017.
    Published • 10.1007/978-3-319-40902-3_9
Conference abstract
  1. Antunes, Francisco. "Metamodeling based on active learning: application to an emergency medical service simulator". Paper presented in 12th CITTA International Conference on Planning Research, Porto, 2019.
  2. Antunes, Francisco. "Restricted Batch-Mode Active Learning Metamodels for Transport Simulators". Paper presented in 15th Annual Transports Study Group Conference (GET), Fátima, 2018.
  3. Antunes, Francisco. "Active Learning for Scenario Exploration in Transport & Land-Use Simulation Models". Paper presented in 14th Annual Transports Study Group Conference (GET), Fátima, 2017.
    Accepted
Conference paper
  1. Raquel Sánchez-Cauce; Christoffer Riis; Francisco Antunes; David Mocholí; Oliva G. Cantú Ros; Francisco Camara Pereira; Ricardo Herranz; Carlos Lima Azevedo. "Active Learning Metamodelling for R-NEST". 2022.
  2. Christoffer Riis; Francisco Antunes; Tatjana Bolic; Gérald Gurtner; Francisco Camara Pereira; Carlos Lima Azevedo. "Explainable Metamodels for ATM Performance Assessment". 2022.
  3. Christoffer Riis; Francisco Antunes; Gérald Gurtner; Francisco Camara Pereira; Luis Delgado; Carlos Lima Azevedo. "Active Learning Metamodels for ATM Simulation Modeling". 2021.
  4. Antunes, Francisco; Antunes, Francisco; Pereira, Francisco; Ribeiro, Bernardete. "Directional Grid-based Search for Simulation Metamodeling using Active Learning". Paper presented in 3rd EAI International Conference on Intelligent Transport Systems (INTSYS2019), Braga, 2019.
    10.1007/978-3-030-38822-5_3
  5. Antunes, Francisco. "An Active Learning Metamodeling Approach for Policy Analysis: Application to an Emergency Medical Service Simulator". Paper presented in Transport Research Board (TRB) - 98th Annual Meeting, Washington, D.C., 2019.
  6. Antunes, Francisco. "Exploratory Scenario Design in Transportation Planning". Paper presented in 8th Luso-Brazilian Congress for Urban, Regional, Integrated and Sustainable Planning (PLURIS 2018), Coimbra, 2018.
  7. Antunes, Francisco; Ribeiro, Bernardete; Pereira, Francisco. "Active Learning for Input Space Exploration in Traffic Simulators". Paper presented in International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, 2018.
    10.1109/IJCNN.2018.8489302
  8. Gomes, Rui; Antunes, Francisco; Ana Oliveira Alves; Bento, Carlos; Aguiar, Ana. "Gomes, R., Alves, A., Bento, C., Antunes, F., Aguiar, A., URBY.SENSE - Urban mobility analysis and prediction for non- routine scenarios using digital footprints". Paper presented in 14th Annual Meeting of the Portuguese Working Group on Transport Studies (GET), Fatima, 2017.
  9. Demissie, Merkebe Getachew; Antunes, Francisco; Bento, Carlos; Phithakkitnukoon, Santi; Sukhvibul, Titipat. "Inferring origin-destination flows using mobile phone data: A case study of Senegal". Paper presented in 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Chiang Mai, Thailand, 2016.
    Published • 10.1109/ECTICon.2016.7561328
  10. Antunes, Francisco; Fonte, C. C.; Brovelli, M. A.; Minghini, M.; Molinari, M.; Mooney, P.. "Assessing OSM Road Positional Quality with Authoritative Data". Paper presented in VIII National Conference on Cartography and Geodesy (VIII CNCG), Lisbon, 2015.
    Published
  11. Antunes, Francisco. "Accounting for Heteroscedasticity in Big Data". Paper presented in National Science Foundation (NSF) Workshops on Big Data and Urban Informatics, Chicago, USA, 2014.
    Published
Conference poster
  1. Carlos Lima Azevedo; Christoffer Riis; Francisco Antunes; Francisco Camara Pereira. "Active Learning for Air Traffic Management Simulation Metamodeling". 2022.
  2. Christoffer Riis; Francisco Antunes; Frederik Boe Hüttel; Carlos Lima Azevedo; Francisco Camara Pereira; Riis, C.; Antunes, F.N.; et al. "Bayesian Active Learning with Fully Bayesian Gaussian Processes". 2022.
    10.48550/arXiv.2205.10186
  3. Antunes, Francisco. "Studying the behavior of a simulated Emergency Medical System using Active Learning". Paper presented in 25th Portuguese Conference on Pattern Recognition (RECPAD), 2019.
  4. Antunes, Francisco. "Policy Analysis for Emergency Medical Systems using Simulation Metamodels". Paper presented in National Science Summit’18 (Ciência2019), 2019.
  5. Antunes, Francisco. "Application of Active Learning Metamodels and Clustering Techniques to Emergency Medical Service Policy Analysis". Paper presented in 24th Portuguese Conference on Pattern Recognition (RECPAD), 2018.
  6. Antunes, Francisco. "Exploring the Output Behavior of Traffic Simulators using Batch-Mode Active Learning". Paper presented in National Science Summit’18 (Ciência2018), 2018.
  7. Antunes, Francisco. "Active Learning GP-based Metamodels for Input Exploration in Transportation Simulation Models". Paper presented in 23rd Portuguese Conference on Pattern Recognition (RECPAD), 2017.
  8. Antunes, Francisco. "Active Learning Metamodeling for Scenario Discovery in Transportation Simulators". Paper presented in Transport Summer Summit at Technical University of Denmark (DTU), 2017.
Journal article
  1. Rongrong Guo; Francisco Antunes; Jin Zhang; Jingcai Yu; Wenquan Li. "Joint optimization of headway and number of stops for bilateral bus rapid transit". PLOS ONE (2024): https://doi.org/10.1371/journal.pone.0300286.
    10.1371/journal.pone.0300286
  2. Pereira, Hudson Carrer; Bastos, Ana; Seco, Alvaro; Antunes, Francisco. "Decision trees applied to injury severity in road accidents with only one victim – focus on vulnerable users". Proceedings of the Institution of Civil Engineers - Municipal Engineer (2024): 1-24. http://dx.doi.org/10.1680/jmuen.23.00034.
    10.1680/jmuen.23.00034
  3. Francisco Antunes; Marco Amorim; Francisco Pereira; Bernardete Ribeiro. "Active learning metamodelling for survival rate analysis of simulated emergency medical systems". Transportmetrica A: Transport Science (2022): 1-22. https://doi.org/10.1080/23249935.2022.2046203.
    10.1080/23249935.2022.2046203
  4. Francisco Antunes; Marco Amorim; Francisco C. Pereira; Bernardete Ribeiro. "Active learning metamodeling for policy analysis: Application to an emergency medical service simulator". Simulation Modelling Practice and Theory 97 (2019): 101947-101947. https://doi.org/10.1016/j.simpat.2019.101947.
    10.1016/j.simpat.2019.101947
  5. Antunes, Francisco. "An integrated approach for strategic and tactical decisions for the emergency medical service: Exploring optimization and metamodel-based simulation for vehicle location". Computers & Industrial Engineering (2019): http://dx.doi.org/10.1016/j.cie.2019.106057.
    10.1016/j.cie.2019.106057
  6. Francisco Antunes; Bernardete Ribeiro; Francisco C. Pereira; Rui Gomes. "Efficient Transport Simulation With Restricted Batch-Mode Active Learning". IEEE Transactions on Intelligent Transportation Systems 19 11 (2018): 3642-3651. https://doi.org/10.1109/TITS.2018.2842695.
    10.1109/TITS.2018.2842695
  7. Antunes, Francisco; Ribeiro, Bernardete; Pereira, Francisco. "Probabilistic modeling and visualization for bankruptcy prediction". Applied Soft Computing 60 (2017): 831-843. http://dx.doi.org/10.1016/j.asoc.2017.06.043.
    10.1016/j.asoc.2017.06.043
  8. Demissie, Merkebe Getachew; Phithakkitnukoon, Santi; Sukhvibul, Titipat; Antunes, Francisco; Gomes, Rui; Bento, Carlos. "Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal". IEEE Transactions on Intelligent Transportation Systems 17 9 (2016): 2466-2478.
    Published • 10.1109/TITS.2016.2521830
  9. Silva, Paulo; Antunes, Francisco; Gomes, Rui; Bento, Carlos. "Demand Modelling for Responsive Transport Systems Using Digital Footprints". Lecture Notes in Artificial Intelligence (2015): https://publons.com/publon/3437120/.
    10.1007/978-3-319-23485-4_19
Report
  1. Antunes, Francisco. 2017. Active Learning Metamodels for Transportation Simulators.

Other

Other output
  1. Credit Scoring: Applications of the Maximum Utility Principle (Master' Thesis). 2012. Antunes, Francisco.
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2024 - Current Bayesian Causal Inference in Deep Spiking Neural Networks
Co-supervisor
 Machine Learning (PhD)
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2022 - 2023 Predicting Win Probabilities of B2B Sales Opportunities using Machine Learning
Co-supervisor
 Business Analytics (Master)
Danmarks Tekniske Universitet, Denmark
2020 - 2023 Bayesian Machine Learning for Simulation Metamodeling
Co-supervisor
 Machine Learning (PhD)
Danmarks Tekniske Universitet, Denmark
2022 - 2022 Causal Metamodels for Simulators
Co-supervisor
 Computer Science and Engineering (Master)
Danmarks Tekniske Universitet, Denmark
2021 - 2021 EV charging demand prediction from GPS traces
Co-supervisor
 Business Analytics (Master)
Danmarks Tekniske Universitet, Denmark
2021 - 2021 Estimating Spatio-Temporal Demand for Electric Vehicle Charging
Co-supervisor
 Transport & Logistics (Master)
Danmarks Tekniske Universitet, Denmark

Committee member

Activity description
Role 		Institution / Organization
2018/10/26 - 2018/10/26 Organizing and scientific committee of RECPAD 2018
Member
 Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Distinctions

Other distinction

2016 Ph.D. Scholarship
Fundação para a Ciência e a Tecnologia, Portugal
2015 Participation Fee
EPIA, Portugal