Jonas Queiroz, BSc and MSc of Computer Science by São Paulo State University (UNESP), Brazil, and current a PhD candidate at Faculty of Engineering of University of Porto (FEUP). His main research area is Artificial Intelligence comprising topics such as, multi-agent system, machine learning and data mining. Currently, his research focus in the integration between multi-agent system and data analysis for the development of autonomous and intelligent components for the realization of Cyber-Physical Systems concepts in the context of Industry 4.0.
Queiroz, J., Leitão, P. and Oliveira, E. (2017). Industrial Cyber Physical Systems Supported by Distributed Advanced Data Analytics. Service Orientation in Holonic and Multi-Agent Manufacturing (pp. 47–59)
Queiroz, J., Barbosa, J., Dias, J., Leitão, P. and Oliveira, E. (2017). Development of a smart electric motor testbed for Internet of Things and big data technologies. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (pp. 3435-3440)
Mendes, S., Queiroz, J. and Leitão, P. (2017). Data driven multi-agent m-health system to characterize the daily activities of elderly people. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6)
Rúbio, T. R. P. M., Queiroz, J., Cardoso, H. L., Rocha, A. P. and Oliveira, E. (2016). TugaTAC Broker: A Fuzzy Logic Adaptive Reasoning Agent for Energy Trading. Multi-Agent Systems and Agreement Technologies (pp. 188–202)
Queiroz, J., Leitão, P. and Dias, A. (2016). Predictive data analysis driven multi-agent system approach for electrical micro grids management. 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE) (pp. 738-743)
Queiroz, J. and Leitão, P. (2016). Agent-Based Data Analysis Towards the Dynamic Adaptation of Industrial Automation Processes. Technological Innovation for Cyber-Physical Systems (pp. 99–106)
Rúbio, T. R., Queiroz, J., Cardoso, H. L., Rocha, A. P. and Oliveira, E. (2015). Tugatac broker: A fuzzy logic adaptive reasoning agent for energy trading. Multi-Agent Systems and Agreement Technologies (pp. 188–202)
Queiroz, J., Dias, A. and Leitão, P. (2015). Predictive data analytics for agent-based management of electrical micro grids. IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society (pp. 004684-004689)
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