Posts by Collection

portfolio

publications

A predictive policing application to support patrol planning in smart cities

Published in 2017 International Smart Cities Conference (ISC2), 2018

ROTA-Analytics supports multiple machine and statistical learning methods selection to create an environment of crime prediction in different areas of the city.

Recommended citation: A. Araujo, N. Cacho, A. C. Thome, A. Medeiros and J. Borges, "A predictive policing application to support patrol planning in smart cities," 2017 International Smart Cities Conference (ISC2), 2017, pp. 1-6, doi: 10.1109/ISC2.2017.8090817. https://ieeexplore.ieee.org/abstract/document/8090817

A systematic review on spatial crime forecasting

Published in Crime Science, 2020

We follow the PRISMA guidelines for reporting this systematic literature review and we analyse 32 papers from 2000 to 2018. We identified several opportunities and strengths there are also some weaknesses and threats for which we provide suggestions.

Recommended citation: Kounadi, O., Ristea, A., Araujo, A. et al. A systematic review on spatial crime forecasting. Crime Sci 9, 7 (2020). https://doi.org/10.1186/s40163-020-00116-7 https://link.springer.com/article/10.1186/s40163-020-00116-7

A platform for citizen cooperation during the COVID-19 pandemic in RN, Brazil

Published in 2020 IEEE International Smart Cities Conference (ISC2), 2020

In a partnership of the Natal smart city initiative of the university and the public ministry, we deployed the “Tô de Olho” (TdO) platform for integrating different sectors of society against coronavirus spreading in the state of RN, Brazil

Recommended citation: A. de Araujo et al., "A Platform for Citizen Cooperation during the COVID-19 Pandemic in RN, Brazil," 2020 IEEE International Smart Cities Conference (ISC2), 2020, pp. 1-8, doi: 10.1109/ISC251055.2020.9239008. https://ieeexplore.ieee.org/abstract/document/9239008

Enhancing Student Dialogue Productivity with Learning Analytics and Fuzzy Rules

Published in 25th International Conference on Artificial Intelligence in Education (AIED24), 2024

This study explores the use of the Collaborative Learning Agent for Interactive Reasoning (Clair)

Recommended citation: de Araujo, A., Martens, J., & Papadopoulos, P. M. (2024, July). Enhancing Student Dialogue Productivity with Learning Analytics and Fuzzy Rules. In International Conference on Artificial Intelligence in Education (pp. 397-404). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-64299-9_36 https://link.springer.com/chapter/10.1007/978-3-031-64299-9_36

talks

New Technologies Applied to Public Security

Published:

I had the opportunity to do a 30min presentation in the Training Course for Sergeants of the policemen from RN, Brazil. In my short talk, I explained how spatial analysis and AI can leverage improvements in the way policing is currently being implemented.

Conversational agents for collaborative science learning

Published:

I presented in 20min my PhD proposal to an audience of 30 people, among professors and students. The presentation was about how conversational agents can make science students (~13 year old) can talk online more productively. It was a nice opportunity to have questions about the evaluation procedure that I will use.

teaching

Workshop: Introduction to IT, Software, Hardware and Peopleware

Workshop, Universidade Estadual do Rio G. do Norte, 2018

I gave a small workshop (around 5h along three sessions) for policemen about what is Information Technology (IT), software, hardware, and peopleware. The course was a requirement for the experienced policemen (+30 years of service) to be promoted. The students were 50-60 years old. It was a nice opportunity to train my teaching skills because I really had to be simple and straightforward in the content explanation. Also, nice to talk to policemen that work ethically (most of them) to make good for society and have in Brazil such a low salary and unstable situation. I also used the workshop to collect some data about what do they think can influence most the spatial distribution of crime, e.g., geographic factors. So I surveyed them to collect data and use in my masters thesis.

Concurrent and Parallel Programming

Undergraduate course, Federal University of Rio G. do Norte, Department of Informatics and Applied Mathematics, 2019

One third of the course was taught by me in a discipline of my MSc supervisor. I proposed project assignments where the students had some basic machine learning problems (e.g., clustering, spatial interpolation, text analysis) where training and/or inference can be done in parallel.