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Dr Carla Silva graduated (2007) from the Faculty of Sciences, Porto University, Portugal. She received the PhD degree (2021) in Computer Science from the Faculty of Sciences, University of Porto, Portugal. In 2022, she was principal researcher at INEGI - Institute of Science and Innovation in Mechanical and Industrial Engineering and postdoc fellow at SYSTEC - Research Center For Systems and Technologies and Institute of Systems and Robotic (ISR-Porto). In the past, she has participated in projects both in industry and research institutions. She worked in the companies Fabamaq and Bosch as math software developer, data scientist and researcher. She did Erasmus at Leiden Institute of Advanced Computer Science (LIACS), Leiden University, The Netherlands. She has academic experience as a research fellow at CRACS INESC TEC - Center for Research in Advanced Computing Systems, Portugal; CINTESIS - Center for Health Technology and Services Research, Department of Community Medicine Information and Decision in Health, Portugal; Instituto de Telecomunicações (IT), Portugal; Department of Computer Science, Faculty of Sciences, Porto University, Portugal. Her research interests include many aspects of computer science, namely, artificial intelligence, data science and machine learning, and the development of algorithms for multiple applications. Her applied research focuses on data mining, data visualisation, quantum computation and quantum information, simulation and modelling, spatial and spatial-temporal statistics, Bayesian statistics, as well as, urban computing and dynamical systems through a data-driven strategy to derive knowledge from data.
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Identificação

Identificação pessoal

Nome completo
Carla Maria Alves Pereira da Silva

Nomes de citação

  • Silva, C
  • Carla Silva
  • Silva, Carla
  • C Silva

Identificadores de autor

Ciência ID
5D1C-C504-DE39
ORCID iD
0000-0002-4941-1009
AuthenticusID
R-00G-YNK
Google Scholar ID
qzLi-IwAAAAJ&hl
Researcher Id
A-3382-2012
Scopus Author Id
56263913400

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Francês Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1)
Espanhol; Castelhano Utilizador elementar (A2) Utilizador elementar (A2) Utilizador elementar (A1) Utilizador independente (B1) Utilizador elementar (A2)
Formação
Grau Classificação
2017/06/05 - 2021/11/25
Concluído
 Ciência de Computadores (Doutoramento)
Universidade do Porto Faculdade de Ciências, Portugal
"Quantum Machine Intelligence: Mapping AI Applications" (TESE/DISSERTAÇÃO)
 Aprovado por unanimidade
2007
Concluído
 Ciências de Engenharia - Perfil de Engenharia Geográfica (Licenciatura)
Universidade do Porto Faculdade de Ciências, Portugal
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2022/08/18 - 2022/11/30 Investigador principal (carreira) (Investigação) Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia, Portugal

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2021/09/01 - 2022/03/16 Data Scientist Bosch Security Systems, S.A., Portugal
2017/03/13 - 2017/09 Math Software Developer FABAMAQ, Portugal
Projetos

Bolsa

Designação Financiadores
2022/03/21 - 2022/07 MLDLCOV project - Impact of COVID-19 containment measures on mobility, air pollution, health and macroeconomic indicators in Portugal: a Machine Learning approach
ISRP-MLDLCOV-BPD
Bolseiro de Pós-Doutoramento
Em curso
2020/03/01 - 2021/08 Safe Cities - Inovação para Construir Cidades Seguras
POCI-01-0247-FEDER-041435 (Safe Cities)
Bolseiro de Investigação
Concluído
2019/01 - 2019/08 S2MovingCity: Sensing and Serving a Moving City
CMUP-ERI/TIC/0010/2014
Bolseiro de Investigação
Concluído
2017/11/15 - 2018/12 SmartCityMules - Mobile Data Collection and Dissemination Through Vehicular Delay Tolerant Networks
PTDC/EEI-TEL/2008/2014
Bolseiro de Investigação
Concluído
2016/08/01 - 2017/03 NanoSTIMA - Macro-to-Nano Human Sensing Technologies
NORTE-01-0145-FEDER-000016
Bolseiro de Investigação
Concluído
2014/06/01 - 2015/12 INCENTIVO PESt (CRACS)
1009/BI_B1C/ 14
Bolseiro de Investigação
Concluído

Outro

Designação Financiadores
2022/08/18 - 2022/11/30 Desenvolvimento e Implementação de Algoritmos para Processamento de Dados provenientes de Sistemas de Produção e de Automação
RH CT CEECInst 22/2022 – LAETA LA/P/0079/2020
Investigador
Produções

Publicações

Artigo em conferência
  1. Silva, C; Rodrigues, A; Jorge, A; Dutra, I. "Sensor data modeling with Bayesian networks". 2022.
    10.1109/iaict55358.2022.9887461
  2. Nejad, EB; Silva, C; Rodrigues, A; Jorge, A; Dutra, I. "AutoSW: A new automated sliding window-based change point detection method for sensor data". 2022.
    10.1109/iaict55358.2022.9887400
  3. Silva, C; da Silva, MF; Rodrigues, A; Silva, J; Costa, VS; Jorge, A; Dutra, I. "Predictive Maintenance for Sensor Enhancement in Industry 4.0". 2021.
    10.1007/978-981-16-1685-3_33
  4. Silva, C; d'Orey, PM; Aguiar, A. "Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves". 2019.
    10.2312/mlvis.20191159
  5. Silva, C; d'Orey, PM; Aguiar, A. "Interpreting Traffic Congestion Using Fundamental Diagrams and Probabilistic Graphical Modeling". 2018.
    10.1109/icdmw.2018.00090
  6. Rodrigues, A.; Silva, C.; Borges, P.; Silva, S.; Dutra, I.. "Performance evaluation of statistical functions". 2016.
    10.1109/SmartCity.2015.159
  7. Silva, C.; Pereira, W.; Knotek, J.; Campos, P.. "Evolutionary dynamics of the spatial prisoner's dilemma with single and multi-behaviors: A multi-agent application". 2011.
    10.1007/978-3-642-14788-3_49
Artigo em revista
  1. Azevedo, V; Silva, C; Dutra, I. "Quantum transfer learning for breast cancer detection". QUANTUM MACHINE INTELLIGENCE (2022):
    10.1007/s42484-022-00062-4
  2. Silva, C; Aguiar, A; Lima, PMV; Dutra, I. "Mapping a logical representation of TSP to quantum annealing". QUANTUM INFORMATION PROCESSING (2021):
    10.1007/s11128-021-03321-8
  3. Fernandes, D; Silva, C; Dutra, I. "Erratum: Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2". ACM Crossroads (2020):
    10.1145/3368085
  4. Silva, C; Aguiar, A; Lima, PMV; Dutra, I. "Mapping graph coloring to quantum annealing". QUANTUM MACHINE INTELLIGENCE (2020):
    10.1007/s42484-020-00028-4
  5. Fernandes, D; Silva, C; Dutra, I. "Using Grover's search quantum algorithm to solve Boolean satisfiability problems, part 2". ACM Crossroads (2019):
    10.1145/3386233
  6. Rodrigues, Andre; Silva, Carla; Borges, PauloViniciusKoerich; Silva, Sergio; Dutra, Ines. "Optimising the calculation of statistical functions". IJBDI (2017):
  7. Silva, C. "What is Quantum AI?". ITNOW (2017):
    10.1093/itnow/bwx119
Resumo em conferência
  1. Silva, C; Aguiar, A; Dutra, I. "Quantum Binary Classification (Student Abstract)". Trabalho apresentado em The Thirty-Fifth AAAI Conference on Artificial Intelligence, February 2-9, 2021, held virtually, 2021.
    Publicado

Outros

Outra produção
  1. Driven tabu search: a quantum inherent optimisation. 2018. Silva, C; Dutra, I; Dahlem, MS.
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2022/07/29 Sensor data modeling with Bayesian networks The IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology
(Bali, Indonesia)
2021/04/08 Predictive Maintenance for Sensor Enhancement in Industry 4.0 Recent Challenges in Intelligent Information and Database Systems - 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021
(Phuket, Tailândia)
2019/06/07 Urban Traffic Visualization UT Austin Portugal Applied Visualization Workshop 7-8 June
(Braga, Portugal)
2019/06/03 Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves 2nd Workshop on Machine Learning Methods in Visualisation for Big Data, Mlvis@eurovis 2019, Porto, Portugal, June 3, 2019, 3 June 2019, Sponsors EUROGRAPHICS Association
(Porto, Portugal)
2018/08/20 Driven Tabu Search: A Quantum Inherent Optimisation 1st Workshop on Quantum Machine Learning of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018
(Londres, Reino Unido)
2017/10/04 Simulating Markov transition probabilities in a quantum environment 3rd International Conference for Young Quantum Information Scientists 3-6 October 2017, Max Planck Institute for the Science of Light, Friedrich-Alexander Universitat Erlangen-Nurnberg, 2017
(Erlangen, Alemanha)
Distinções

Outra distinção

2011 ERASMUS
Universiteit Leiden Leiden Institute of Advanced Computer Science, Países Baixos