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Biografia

Maria Anastasiadou é estudante de doutoramento, na NOVA IMS, Gestão de Sistemas de Informação com especialização em Tecnologias de Informação, mais especificamente em Ciência de Dados. Maria ensina Inteligência Artificial na NOVA IMS e conta com 7 anos de experiência como consultora de TI em projetos governamentais, tendo um diploma de graduação de primeira classe com honras em Ciências da Computação pela Universidade de Hertfordshire, Hatfield, Reino Unido, e um mestrado em Gestão de Informações, com especialização em Gestão de Sistemas e Tecnologias de Informação, pela NOVA IMS, em Lisboa, Portugal.

Publicações Cientificas

Bayazitova, G., Anastasiadou, M., & Santos, V. (2024)

Oil and gas flow anomaly detection on offshore naturally flowing wells using deep neural networks. Geoenergy Science and Engineering, 242, 1-20. Article 213240. https://doi.org/10.1016/j.geoen.2024.213240

Encarnação, M. S. M. D., Anastasiadou, M., & Santos, V. (2024)

Framework for the application of explainable artificial intelligence techniques in the service of democracy. Transforming Government: People, Process and Policy, 18(4), 638-656. https://doi.org/10.1108/TG-02-2024-0030

Kinney, M., Anastasiadou, M., Naranjo-Zolotov, M., & Santos, V. (2024)

Expectation management in AI: A framework for understanding stakeholder trust and acceptance of artificial intelligence systems. Heliyon, 10(7), 1-22. Article e28562. https://doi.org/10.1016/j.heliyon.2024.e28562

Goncalves, M. B., Anastasiadou, M., & Santos, V. (2022)

AI and public contests: a model to improve the evaluation and selection of public contest candidates in the Police Force. Transforming Government: People, Process and Policy, 16(4), 22. https://doi.org/10.1108/TG-05-2022-0078

Anastasiadou, M., Santos, V., & Dias, M. S. (2022)

Machine Learning Techniques Focusing on the Energy Performance of Buildings: A Dimensions and Methods Analysis. Buildings, 12(1), 1-27. [28]. https://doi.org/10.3390/buildings12010028

Anastasiadou, M., Santos, V., & Montargil, F. (2021)

Which technology to which challenge in democratic governance? An approach using design science research. Transforming Government: People, Process and Policy, 15(4), 512-531. https://doi.org/10.1108/TG-03-2020-0045

Anastasiadou, M., Santos, V., & Dias, M. S. (2021)

Evaluating Energy Performance Certificate Data with Data Science. In 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (pp. 1-5). (ICECET 2021, 9-10 December, Cape Town, South Africa). IEEE. https://doi.org/10.1109/ICECET52533.2021.9698806

Abdelaziz, A., Anastasiadou, M., & Castelli, M. (2020)

A parallel particle swarm optimisation for selecting optimal virtual machine on cloud environment. Applied Sciences (Switzerland), 10(18), 1-25. [2806]. https://doi.org/10.3390/APP10186538

Anastasiadou, M., dos Santos, V. D., & Evans, A. M. (2020)

A paired conceptual framework integrating information systems research and democracy theory. In H. Santos, G. V. Pereira, M. Budde, S. F. Lopes, & P. Nikolic (Eds.), Science and Technologies for Smart Cities: 5th  EAI International Summit, SmartCity360, Braga, Portugal, December 4-6, 2019, Proceedings (pp. 217-235). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 323 LNICST). Springer. https://doi.org/10.1007/978-3-030-51005-3_20