A. Dias De Araujo Junior MSc (Adelson)

Hello!

I am currently pursuing my PhD at the department of Learning, Data analytics and Technology (LDT), investigating how collaborative conversational agents can help student dialogues in online science lessons.

A bit of my professional story: I did my bachelor's and master's in Computer Engineering and Systems & Computing, respectively, at the Federal University of Rio Grande do Norte in Brazil. There I worked with the SmartMetropolis research group for five years and could even present my research at two international conferences. I also had a great opportunity that my master's project on predictive policing was kindly supported by the Google LARA initiative (Latin America Research Awards) in 2018 and 2019. It definitely helped me to start enjoying my journey as a researcher. After my master's, I was a junior data scientist/engineer at the Public Ministry of Rio Grande do Norte. My role was to manage a team of data science interns, manage the data lake infrastructure, and develop dashboards that helped prosecutors and their assistants to unravel public budget complexities.

Faculty of Behavioural, Management and Social Sciences (BMS), Instructional Technology (IST)

de Araujo, A. , Papadopoulos, P. M. , McKenney, S. , & Jong, T. D. (2023). Automated coding of student chats, a trans-topic and language approach. Computers and Education: Artificial Intelligence, 4, Article 100123. https://doi.org/10.1016/j.caeai.2023.100123

Coelho, J. V. V., Silva, J. D. S. , de Araujo, A., Cacho, N., Lopes, F., & Medeiros, J. A. D. (2020). A Predictive Service for Highway Hotspot Policing. In 2020 IEEE International Smart Cities Conference, ISC2 2020 Article 9239091 IEEE. https://doi.org/10.1109/ISC251055.2020.9239091

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. 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). Article 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) Article 9239008 IEEE. https://doi.org/10.1109/isc251055.2020.9239008

Kounadi, O., Ristea, A., Leitner, M. , & Araujo Jr., A. (2020). A systematic review on spatial crime forecasting. Crime science, 9(1), Article 7. https://doi.org/10.1186/s40163-020-00116-7

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

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