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Biografia

Ana Beatriz é estudante do Mestrado em Data Science and Advanced Analytics na NOVA IMS. Licenciou-se em Ciência de Dados na mesma instituição, tendo realizado um semestre de intercâmbio na Universidade de Mannheim, na Alemanha. Recebeu quatro Prémios de Mérito: um pelo ingresso com média superior a 18 e três por terminar o ano letivo com média acima de 16,5. Fez um estágio de verão na Brighten Consulting e foi voluntária na Web Summit em 2023 e 2024.

Publicações Cientificas

Li, H., Liu, C., Du, Q., Zeng, Q., Liu, H., Wang, Q., & Cheng, L. (2026)

Optimizing resource allocation for wind turbine maintenance through process and fault data fusion. Information Fusion, 126, 103678. https://doi.org/10.1016/j.inffus.2025.103678

Chen, Q., Zhang, Z., Zhang, Z., Zhang, K., Li, D., Wang, W., Zhang, J., & Liu, C. (2025)

Distilled large language model-driven dynamic sparse expert activation mechanism. Applied Soft Computing, 185, Part B, Article 114037. https://doi.org/10.1016/j.asoc.2025.114037

Guo, N., Liu, C., Mo, Q., Cao, J., Ouyang, C., Lu, X., & Zeng, Q. (2025)

Business Process Remaining Time Prediction Based on Incremental Event Logs. IEEE Transactions on Services Computing, 18(3), 1308–1320. https://doi.org/10.1109/TSC.2025.3562338

He, Y., Ren, Y., Yue, M., Zhang, L., Liu, C., & Li, C. (2025)

Indoor Dark Light Video Positioning Algorithm Based on Backbone Structure From Motion. IEEE Sensors Journal, 25(15), 29509–29523. https://doi.org/10.1109/JSEN.2025.3581284

Li, H., Liu, C., Du, Q., Zeng, Q., Zhang, J., Theodoropoulo, G., & Cheng, L. (2025)

Sampling-Based Next-Event Prediction for Wind-Turbine Maintenance Processes. Energies, 18(16), 4238. https://doi.org/10.3390/en18164238

Liu, C., Liu, W., Guo, N., Song, R., Gu, Y., Cheng, L., & Zeng, Q. (2025)

Comparative evaluation of encoding techniques for workflow process remaining time prediction for cloud applications. Journal of Cloud Computing, 14(1), 36. https://doi.org/10.1186/s13677-025-00763-8

Wang, Q., Zhang, L., Cao, R., Guo, N., Zhang, H., & Liu, C. (2025)

A Process Tree-Based Incomplete Event Log Repair Approach. Information, 16(5), 390. https://doi.org/10.3390/info16050390

Xiang, Z., Cheng, J., Liu, C., Mao, Q., Yuan, G., & Gao, S. (2025)

Privacy-Preserving Autonomous Vehicle Group Formation in a Collusive Attack Scenario. IEEE Internet of Things Journal, 12(13), 25576–25586. https://doi.org/10.1109/JIOT.2025.3559151

Xiong, M., Zhang, Q., Li, D., Wang, W., Zhang, Z., Zhang, K., Liu, C., Chen, D., & Zhang, J. (2025)

Fine-tuning feature interaction for unsupervised domain adaptive low-light object detection. Neurocomputing, 131717. https://doi.org/10.1016/j.neucom.2025.131717

Zou, M., Zeng, Q., Liu, C., Cao, R., Chen, S., & Zhao, Z. (2025)

Prediction of Remaining Execution Time of Business Processes With Multiperson Collaboration in Assembly Line Production. IEEE Transactions on Computational Social Systems, 12(3), 1279–1295. https://doi.org/10.1109/TCSS.2024.3455418

Wu, Y., Dong, Z., Liu, J., Li, Y., Liu, C., Wen, L., & Wu, X. (2025)

OER-Miner: One-off episode rule mining for process event logs. IEEE Transactions on Emerging Topics in Computing, 1–13. https://doi.org/10.1109/TETC.2025.3607892