NextPort vCoE



Research papers on inter-port systems and smart seaports



Halabi-Echeverry, A. X., Obregón-Neira, N., Niño-Vergara, H. L., Aldana-Bernal, J. C., & Baron-Perico, M. (2021). An Agent-based Methodology for Seaport Decision Making. In Engineering Analytics (pp. 149-162). CRC Press. https://doi: 10.1201/9781003137993-10


Halabi-Echeverry, A. X., Nino-Vergara, H. L., Obregon-Neira, N. and S. M. N. Islam. (2020). Blockchain for data sharing in the rational use of coastlines and seaport demands in inter-organizational networks: Development of a new intelligent decision support system. 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA), Sydney, Australia, 2020, pp. 1-5,


Halabi, A., Martínez, M., Richards, D., & Montoya, J. (2017): A Multi-Case Approach for Informational Port Decision Making. Data Analytics Applications in Latin America and Emerging Economies, edited by Eduardo Rodriguez, 08/2017: chapter A Multi-Case Approach for Informational Port Decision Making: pages 28; Taylor & Francis CRC Press., DOI:10.1201/9781315164113-9


Halabi-Echeverry, A. X, & Richards, D. (2012). Addressing challenges for knowledge discovery from data in the domain of seaport integration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Vol. 7457 LNAI.



Research papers on Semantic Intelligence to support port governance in developing capabilities on a common decision-making intention and sharing information with a port partner to envisage sustainable progress


Guerrero, G., Halabi-Echeverry, A.X., Aldana, J.C. (2023). Metadata for Complementing Standards and Formalisation of the Technical Reserve Calculation. In: Archimède, B., Ducq, Y., Young, B., Karray, H. (eds) Enterprise Interoperability IX. I-ESA 2020. Proceedings of the I-ESA Conferences, vol 10. Springer, Cham.


Halabi-Echeverry, A.X., Vergara-Silva, J.C., Ortiz-Basto, G.A. (2019). Towards a Semantic Intelligence to Support Seaport Governance in Environmental and Ecological Sustainability. In: Paternina-Arboleda, C., Voß, S. (eds) Computational Logistics. ICCL 2019. Lecture Notes in Computer Science(), vol 11756. Springer, Cham.



Halabi-Echeverry, A. X., Vergara-Silva, J. C., & Karray, M. H. (2019). Semantic Intelligence in a Seaport Context. Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2018-Novem.


Echeverry, A. X. H., & Richards, D. (2014). A customised dataset to assist legal and ethical governance of seaports. Human rights and ethics: Concepts, methodologies, tools, and applications (pp. 2049-2067) doi:10.4018/978-1-4666-6433-3.ch113


Echeverry, A. X. H., & Richards, D. (2013). A customised dataset to assist legal and ethical governance of seaports. In Ethical Data Mining Applications for Socio-Economic Development.


Halabi-Echeverry, A. X., & Richards, D. (2014). Towards management of the data and knowledge needed for port integration: An initial ontology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8863).


Halabi Echeverry, A. & Richards, D. (2012). Addressing Challenges for Knowledge Discovery from Data in the Domain of Seaport Integration. In D. Richards & B. Kang (Eds.), Knowledge Management and Acquisition for Intelligent Systems: Lecture 374 Notes in Artificial Intelligence 7457, Springer Berlin Heidelberg, pp. 73-85, doi: 10.1007/978-3-642-32541-0_31




Research papers on challenges in the development of Decision Support Systems for ports, considering sustainable factors, practices and functions of the port


Bolívar-Anillo, H.J.; Asensio-Montesinos, F.; Reyes Almeida, G.; Solano Llanos, N.; Sánchez Moreno, H.; Orozco-Sánchez, C.J.; Villate Daza, D.A.; Iglesias-Navas, M.A.; Anfuso, G. (2023). Litter Content of Colombian Beaches and Mangrove Forests: Results from the Caribbean and Pacific Coasts. J. Mar. Sci. Eng. 11, 250.


Halabi-Echeverry, A. X., Islam, S. M. N., Niño-Vergara, H. L., & Obregon-Neira, N. (2017). The intelligent decision support system prototype for port informational integration. Paper presented at the 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017, 474-480.


Halabi-Echeverry, A. X., Clermont, P., & Obregon-Neira, N. (2016). A systemic-driven perspective towards port´s informational decisions through consideration of port sustainability. Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, IEMSs 2016, 4, 875. 


Halabi-Echeverry, A. X., Montoya-Torres, J. R., Richards, D., & Neira, N. O. (2015). Computational intelligence to support cooperative seaport decision-making in environmental and ecological sustainability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9335).


Echeverry, A. X. H., Richards, D., & Bilgin, A. (2014). A baseline time series data mining model for forecasts in port logistics and economics. Paper presented at the International Conference on Intelligent Systems Design and Applications, ISDA, 313-318. doi:10.1109/ISDA.2013.6920755


Halabi Echeverry, A. X., Richards, D., Bilgin, A., Montoya-Torres,Jairo R. (2014) Forecasting in Port Logistics and Economics using Time Series Data Mining Model. Journal of Network and Innovative Computing. Volume 2, Issue 1, pp. 120 - 127.


Halabi, A. X., Montoya-Torres, J. R., & Obregón, N. (2012). A Case Study of Group Decision Method for Environmental Foresight and Water Resources Planning Using a Fuzzy Approach. Group Decision and Negotiation, 21(2), 205–232.


Research papers on Systematic Literature Reviews

and Support for other Research Centers


Fernández-Otoya, F. A., Raposo-Rivas, M., & Halabi-Echeverry, A. X. (2022). A Qualitative Systematic Literature Review on Phonological Awareness in Preschoolers Supported by Information and Communication Technologies. Education Sciences, 12(6), 382. (Open Science)


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