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Teaching Staff


Maria Anastasiadou is a PhD student at NOVA IMS in Information Systems Management with a specialization in Information Technologies, more specifically in Data science. She is teaching Artificial Intelligence at Nova Information Management School, and she has been working as an IT consultant for the past 7 years in governmental related IT projects, and she holds a first-class with honours B.Sc. in Computer Sciences by the University of Hertfordshire, Hatfield UK, and a master’s degree in information management, with a specialization in Information Systems and Technologies Management from the University of NOVA IMS in Lisbon, Portugal.

Scientific Publications

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.

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].

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.

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.

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].

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.