“Antonio Castro has a Ph.D. and an MSc in Artificial Intelligence and Intelligent Systems from University of Porto in Portugal. He has 27 years of experience on the Air Transport domain including serving as a Board Advisor for IT projects and responsible for projects related with airline operations control with TAP Portugal. He is a researcher at the Laboratory of Artificial Intelligence and Computer Science (LIACC) and a former Assistant Professor at the University of Porto, having published 30 papers and 2 books on the use of AI and Machine Learning for Airline Operations. He received three awards related with his work: Best Artificial Intelligence PhD Thesis from the Portuguese Association for AI in 2014, Best Innovation Award at AGIFORS Airline Operations Conference in 2015 and Second Best Idea with Practical Utility regarding from Fraunhofer Research Institute in 2013. Antonio is also Co-founder and CEO of MASDIMA (http://www.masdima.com) a start-up company created together with two other colleagues, from the research made during his Ph.D. where a Multi-Agent System for Disruption Management applied to Airline Operations Control was proposed, that includes the passenger point of view in the Irregular Operations Management Process (IROPS). Antonio is also a member of APPIA (portuguese Association for Artificial Intelligence)”
Barroso, R., Castro, A. and Rocha, A. (2018). Computer programming as a tool to improve mathematic skills in basic education. Iberian Conference on Information Systems and Technologies, CISTI (pp. 1-3)
Šarčević, T., Rocha, A. and Castro, A. (2018). Artificial Bee Colony algorithm for solving the flight disruption problem. Communications in Computer and Information Science (pp. 72-81)
Reis, L., Rocha, A. and Castro, A. (2018). An electronic marketplace for airlines. Communications in Computer and Information Science (pp. 60-71)
Reis, L., Rocha, A. and Castro, A. (2018). An Agent-based Electronic Market to Help Airlines to Recover from Delays. Proceedings of the 10th International Conference on Agents and Artificial Intelligence, ICAART 2018, Volume 1, Funchal, Madeira, Portugal, January 16-18, 2018. (pp. 176-183)
Castro, A. and Rocha, A. (2017). Managing disruptions with a multi-agent system for airline operations control. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 307-310)
Conceição, M., Cravo, I., Costa, I., Ferreira, R., Costa, R., Castro, A. and Costa, J. (2017). Echinococcus granulosus ss in dog – A report in center-northern Portugal. Veterinary Parasitology: Regional Studies and Reports, 9, pp. 84-87
Lima, J., Rocha, A. and Castro, A. (2017). Argumentation in the re-accommodation of airline passengers using mobile devices. Communications in Computer and Information Science (pp. 16-27)
Castro, A. J., Rocha, A. P. and Oliveira, E. (2016). Towards an Organization of Computers for Managing Airline Operations. CATA-31st International Conference on Computers and Their Applications, Las Vegas, USA, April (pp. 4–6)
Mateus, T., Niza-Ribeiro, J., Castro, A. and Vieira-Pinto, M. (2016). Limited Knowledge About Hydatidosis Among Farmers in Northwest Portugal: A Pressing Need for a One Health Approach. EcoHealth, 13 (3), pp. 480-489
Cardoso, H. L., Urbano, J., Rocha, A. P., Castro, A. J. and Oliveira, E. (2016). ANTE: A Framework Integrating Negotiation, Norms and Trust. Social coordination frameworks for social technical systems (pp. 27–45)
Machado, N., Castro, A. J. and Oliveira, E. (2015). Studying the Impact of the Organizational Structure on Airline Operations Control. Advances in Artificial Transportation Systems and Simulation (pp. 103–124)
Castro, A. and Rocha, A. (2015). A distributed approach to integrated and dynamic disruption management in airline operations control. AGIFORS 55th Annual Symposium: Analytics for Efficiency and Customer Centric Optimization
Castro, A. J., Rocha, A. P. and Oliveira, E. (2014). The System Design. A New Approach for Disruption Management in Airline Operations Control (pp. 85–122)
Cardoso, A., Costa, I., Figueiredo, C., Castro, A. and Conceição, M. (2014). The occurrence of zoonotic parasites in rural dog populations from northern Portugal. Journal of Helminthology, 88 (2), pp. 203-209
Castro, A. J., Rocha, A. P. and Oliveira, E. (2014). The Airline Operations Control Problem. A New Approach for Disruption Management in Airline Operations Control (pp. 63–81)
Mateus, T., Castro, A., Ribeiro, J. and Vieira-Pinto, M. (2014). Multiple zoonotic parasites identified in dog feces collected in ponte de Lima, Portugal—A potential threat to human health. International Journal of Environmental Research and Public Health, 11 (9), pp. 9050-9067
Castro, A. J., Rocha, A. P. and Oliveira, E. (2014). Learning in Heterogeneous Environments: a Case Study. Proceedings of the 2014 Workshop on Intelligent Agents and Technologies for Socially Interconnected Systems (pp. 1)
Castro, A. J., Rocha, A. P. and Oliveira, E. (2014). Experiments. A New Approach for Disruption Management in Airline Operations Control (pp. 161–194)
Castro, A. J., Rocha, A. P. and Oliveira, E. (2014). Background. A New Approach for Disruption Management in Airline Operations Control (pp. 15–27)
Teixeira, F., Castro, A. J., Rocha, A. P. and Oliveira, E. (2013). Multi-agent learning in both cooperative and competitive environments. Proceedings of the XVI Portuguese Conference on AI-EPAI (pp. 370–381)
Lopes Cardoso, H., Urbano, J., Rocha, A. P., Castro, A. J. and Oliveira, E. (2013). ANTE: Agreement Negotiation in Normative and Trust-Enabled Environments. Agreement Technologies (pp. 549–564)
de Castro, A. J. M. (2013). A Distributed Approach to Integrated and Dynamic Disruption Management in Airline Operations Control. (Doctoral dissertation, Faculty of Engineering, University of Porto)
Castro, A. J., Rocha, A. P. and Oliveira, E. (2012). Towards an autonomous and intelligent airline operations control. Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on (pp. 1429–1434)
Aguiar, B., Torres, J. and Castro, A. (2011). Operational problems recovery in airlines - A specialized methodologies approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7026 LNAI, pp. 83-97
Castro, A. J. and Oliveira, E. (2011). Airline operations control: A new concept for operations recovery. Airline industry: Strategies, operations and safety
Castro, A. J. and Oliveira, E. (2011). A new concept for disruption management in airline operations control. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 225 (3), pp. 269–290
Castro, A. J., Pereira, A., Fraga, L., Rocha, A. P. and Oliveira, E. (2011). A Negotiation Based Approach to Airline Operations Recovery. Procedings of the 15th Portuguese Conference on Artificial Intelligence (EPIA 2011) (pp. 122-136)
Castro, A. J. and Oliveira, E. (2010). Disruption management in airline operations control–an intelligent agent-based approach. Web Intelligence and Intelligent Agents
Castro, A. J. and Oliveira, E. (2009). Using quality costs in a multi-agent system for an airline operations control. ICEIS 2009: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS
Mota, A., Castro, A. and Reis, L. (2009). Recovering from Airline Operational Problems with a Multi-Agent System: A Case Study. PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS (pp. 461-472)
Castro, A. J. and Oliveira, E. (2009). Quantifying quality operational costs in a multi-agent system for airline operations recovery. International Review on Computers & Software, 4 (4), pp. 504–516
Castro, A. J., Mota, A., Reis, L. P. and Oliveira, E. (2009). Minimizing airport peaks problem by improving airline operations performance through an agent based system. Progress in Artificial Intelligence: Proceedings of the 14th Portuguese Conference on Artificial Intelligence, EPIA2009
Castro, A. J. and Oliveira, E. (2009). A multi-agent system for airline operations control. 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009) (pp. 159–168)
Castro, A. and Oliveira, E. (2008). The rationale behind the development of an airline operations control centre using Gaia-based methodology. International Journal of Agent-Oriented Software Engineering, 2 (3), pp. 350–377
Castro, A. and Oliveira, E. (2008). Solving airline operations problems using specialized agents in a distributed multi-agent system. Lecture Notes in Business Information Processing, 12 LNBIP, pp. 173-184
Castro, A. J. and Oliveira, E. (2007). Using specialized agents in a distributed MAS to solve airline operations problems: a case study. Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (pp. 473–476)
Castro, A. J. and Oliveira, E. (2007). Solving airline operations problems using specialized agents in a distributed multi-agent system. International Conference on Enterprise Information Systems (pp. 173–184)
de Castro, A. J. M. (2007). Designing a Multi-Agent System for Monitoring and Operations Recovery for an Airline Operations Control Centre... (Master’s Thesis, University of Porto)
Castro, A. and Oliveira, E. (2007). A distributed multi-agent system to solve airline operations problems. ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS
Malucelli, A., de Castro, A. J. M. and da Costa Oliveira, E. (2006). Crew and aircraft recovery through a multi-agent airline electronic market. IADIS International COnference e-Commerce
da Costa Oliveira, E. and de Castro, A. J. M. (2005). A multi-agent system for intelligent monitoring of airline operations. Proceedings of EUMAS 05, 3rd European Workshop on Multi-Agent Systems
de Moura, P. M. H. V. (2018). Travel Recommendation using Reinforcement Learning (in Mobile Applications). (Master’s Thesis, Department of Informatics Engineering, Faculty of Engineering, University of Porto)
Reis, L. B. P. (2017). Crew and Aircraft Electronic Market. (Master’s Thesis, Department of Informatics Engineering, Faculty of Engineering, University of Porto)
Lima, J. F. M. (2016). Argumentation In The Resolution Of Passenger Problems using Mobile Devices. (Master’s Thesis, Department of Informatics Engineering, Faculty of Engineering, University of Porto)
de Castro Moura, A. J. F. (2015). Evolutionary Computation methods applied to Operational Control Centers. (Master’s Thesis, Department of Informatics Engineering, Faculty of Engineering, University of Porto)
