Ana Respício

Contactos

Departamento de Informática

Sala/Gabinete 6.3.52 / 6.3.52
Ext. Principal 526352 / 26352
Telefone Direto 217500522
Email alrespicio@ciencias.ulisboa.pt

Carreira Docente Universitário
Categoria Professor Associado

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Currículo Resumido

Ana Respício (female) is an Associate Professor at the Informatics Department of the Faculdade de Ciências da Universidade de Lisboa, where she lectures in the three cycles and where she has had several coordination and management positions. She is an integrated researcher in the LASIGE research lab. Her research interests include decision support (theory and technologies), cybersecurity risk management, information security, IoT, AAL, and optimisation. She is PI of project Intelligi - Quality Threat Intelligence to Enhance Cyber Defence (FCT), Researcher in project I2DT - Intelligent Interoperable Digital Twins (ITEA4, Compete2030), Portugal Representative: Management Committee of EU COST Action BEiNG-WISE - Behavioral Next Generation in Wireless Networks for Cyber Security (EU ), and Coordinator of project C-Academy @Ciências (PRR). She is an Associate Editor of the Journal of Decision Systems and a member of the editorial board of IDT Journal and IJIDS. She is a founding member of the initiative Girls in ICT@ Ciências.ULisboa. She is a member of the Portuguese Technical Commission for Standardization under the ISO/IEC JTC 1/SC 27 - Information Security, cybersecurity and privacy protection (CT163). She was an elected member of the ULisboa Senate (2021-2015). She served the IFIP Working Group 8.3: Decision Support as vice-chair (2014-2023). In 2021, she received an IFIP Service Award.


Interesses Científicos

Apoio à decisão; Gestão de risco em segurança informática; otimização; processos de negócio dependentes de IoT


Scientific Interests

Decision Support, Cibersecurity Risk Management, Optimization, Multi-objective Optimization, Simulation, IoT-aware Business Processes


Publicações selecionadas
  • Respicio, A., Moz, M., Pato, M.V., Somensi, R. and Flores, C.D. (2018). A computational application for multi-skill nurse staffing in hospital units. BMC Medical Informatics and Decision Making 18 (1), 53.
  • Cabaj, K., Domingos, D., Kotulski, Z., and Respício, A. (2018). Cybersecurity education: Evolution of the discipline and analysis of master programs. Computers & Security, 75, 24-35.
  • Almeida, L. and Respício, A. (2018). Decision support for selecting information security controls, Journal of Decision Systems, Sup 1, 173-180.
  • Cardoso, P. B., Respício, A., & Domingos, D. (2024). A granular risk analysis approach for IoT-aware business processes. IEEE Access.
  • Ramires, R., Respício, A., & Medeiros, I. (2024, July). KAVE: A Knowledge-Based Multi-Agent System for Web Vulnerability Detection. In 2024 IEEE International Conference on Web Services (ICWS) (pp. 489-500). IEEE.

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Prizes and Awards

2021-09-30 - Outstanding Service Award (IFIP - International Federation for Information Processing)