A. Dias De Araujo Junior MSc (Adelson)

PhD Candidate

About Me

Adelson started his PhD in the Department of Instructional Technology of the University of Twente in 2020, supervised by Prof dr Ton de Jong, Prof dr Susan McKenney, and Dr Pantelis Papadopoulos.

In his doctoral studies, he aims to design and investigate conversational agents that support students talking productively in online science labs.

His bachelor was in Computer Engineering, and masters in Systems & Computing, both at the Federal University of Rio Grande do Norte (Brazil). During his master's and bachelor's, he assisted the SmartMetropolis research group and published his first papers on international conferences. He had the opportunity to receive two research grants (2018 and 2019) from the Google LARA initiative (Latin America Research Awards) to support his project on predictive policing. He worked as a data engineer in the Public Ministry of Rio Grande do Norte, managing a data lake infrastructure and developing dashboards to help prosecutors analyze public budget-related issues.

His current research interests are conversational agents, collaborative learning, inquiry-based learning, and ethics in AI.


Engineering & Materials Science
Big Data
Machine Learning
Smart City
Time Series
Arts & Humanities
Systematic Review
Social Sciences


de Araujo, A., Valle, J. M. D., & Cacho, N. (2020). Geographic Feature Engineering with Points-of-Interest from OpenStreetMap. In A. Fred, & J. Filipe (Eds.), Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (Vol. 1: KDIR, pp. 116-123). SCITEPRESS Digital Library. https://doi.org/10.5220/0010155101160123
Do Valle, J. M., Souza, G., Fidelis, S. , Araujo, A., Cacho, N., Silva, I., Budke, J., Sales, H., Filgueira, M. W., Lopes, F., Araujo, D., & Silva Junior, R. (2020). Big Data Platform for Analysing Crime Evidences. In 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService) (pp. 113-119). [9179536] IEEE. https://doi.org/10.1109/BigDataService49289.2020.00025
Araujo, A. D., Garcia, I., Cacho, N., Nascimento, L. A. D., Rolim, D., Medeiros, J. A. D., Santana, S., Paiva, A. S., Lima, M., Ramos, T., Macedo, K., Pereira, J., Nascimento, J., Monteiro, L., Fernandes, M., Fernandes, N., & Lopes, F. (2020). A Platform for Citizen Cooperation during the COVID-19 Pandemic in RN, Brazil. In 2020 IEEE International Smart Cities Conference (ISC2) [9239008] IEEE. https://doi.org/10.1109/isc251055.2020.9239008
Araujo, A., Cacho, N., Bezerra, L., Vieira, C., & Borges, J. (2019). Towards a Crime Hotspot Detection Framework for Patrol Planning. In Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00211
Borges, J., Ziehr, D., Beigl, M., Cacho, N., Martins, A. , Araujo, A., Bezerra, L., & Geisler, S. (2019). Time-Series Features for Predictive Policing. In 2018 IEEE International Smart Cities Conference, ISC2 2018 IEEE. https://doi.org/10.1109/ISC2.2018.8656731
Ribeiro, J. L., Figueredo, M. , Araujo jr., A., Cacho, N., & Lopes, F. (2019). A microservice based architecture topology for machine learning deployment. In 2019 IEEE International Smart Cities Conference (ISC2) (IEEE International Smart Cities Conference (ISC2); Vol. 2019). IEEE. https://doi.org/10.1109/ISC246665.2019.9071708
Araujo, A., Cacho, N., Thome, A. C., Medeiros, A., & Borges, J. (2017). A predictive policing application to support patrol planning in smart cities. In 2017 International Smart Cities Conference (ISC2) IEEE. https://doi.org/10.1109/isc2.2017.8090817

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