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Contact details +64 (09) 414 0800

Dr Guilherme Weigert Cassales

Lecturer - Information Technology

School of Mathematical and Computational Sciences

My research is focused on advancing ML and AI methods, particularly in the context of data streams and time-sensitive applications. Aiming for practical innovation and applications in anomaly detection, time series forecasting, concept drift, and clustering.

I am interested in improving scalability and efficiency of computer systems through these methods, with a focus on edge computing to enable resource-efficient, real-time decision-making in dynamic environments.

I contribute to open-source projects that democratize access to AI technologies. A key aspect of my work is fostering interdisciplinary collaboration, leveraging diverse expertise to develop sustainable and impactful solutions to real-world problems.

Professional

Contact details

Location: 3.64, IC
Campus: Albany

Prizes and Awards

Outstanding Reviewer KDD (2025) - ACM SIGKDD (2025)

Research Expertise

Research Interests

Machine Learning

Data Streams

Time Series

Area of Expertise

Field of research codes
Artificial Intelligence and Image Processing (080100): Artificial Intelligence and Image Processing not elsewhere classified (080199): Computer Software (080300): Information And Computing Sciences (080000): Open Software (080306): Pattern Recognition and Data Mining (080109)

Research Outputs

Journal

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Meason, D., Andreadis, K., Höck, B., Cassales, G., Salekin, S., Lad, P., . . . Matson, A. (2025). Forest Flows: the integration of remote sensing and terrestrial big data to quantify forest hydrological fluxes at multiple scales. Retrieved from https://doi.org/10.5194/egusphere-egu25-14478
[Journal article]Authored by: Weigert Cassales, G.

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Miani, RS., Bernardo, GDG., Cassales, GW., Senger, H., & de Faria, ER. (2025). A Survey of Data Stream-Based Intrusion Detection Systems. IEEE Access. 13, 72953-72983
[Journal article]Authored by: Weigert Cassales, G.

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2

Neto, R., Alencar, B., Gomes, HM., Bifet, A., Gama, J., Cassales, G., . . . Rios, R. (2025). RMIDDM: An unsupervised and interpretable concept drift detection method for data streams. Data mining and knowledge discovery. 39(6), Retrieved from https://link.springer.com/article/10.1007/s10618-025-01155-x
[Journal article]Authored by: Weigert Cassales, G.

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Cassales, GW., Salekin, S., Lim, N., Meason, D., Bifet, A., Pfahringer, B., . . . Frank, E. (2025). A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study. Ecological Informatics. 86, Retrieved from https://www.sciencedirect.com/science/article/pii/S1574954125000238
[Journal article]Authored by: Weigert Cassales, G.

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Cassales, GW., Liu, JJ., & Bifet, A. (2025). Accelerated Weka: GPU Machine Learning with Weka Workbench. Neurocomputing. 646
[Journal article]Authored by: Weigert Cassales, G.

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Cassales, G., Gomes, HM., Bifet, A., Pfahringer, B., & Senger, H. (2023). Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. IEEE Transactions on Network and Service Management. 20(3), 3038-3054 Retrieved from https://ieeexplore.ieee.org/document/9969939
[Journal article]Authored by: Weigert Cassales, G.

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Cassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2021). Improving the performance of bagging ensembles for data streams through mini-batching. Information Sciences. 580, 260-282 Retrieved from https://www.sciencedirect.com/science/article/pii/S0020025521008938
[Journal article]Authored by: Weigert Cassales, G.

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Cassales, GW., Schwertner Char ao, A., Kirsch-Pinheiro, M., Souveyet, C., & Steffenel, L-A. (2016). Improving the performance of Apache Hadoop on pervasive environments through context-aware scheduling. Journal of Ambient Intelligence and Humanized Computing. 7, 333-345
[Journal article]Authored by: Weigert Cassales, G.

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Cassales, GW., Char ao, AS., Pinheiro, MK., Souveyet, C., & Steffenel, LA. (2015). Context-aware scheduling for apache hadoop over pervasive environments. Procedia Computer Science. 52, 202-209
[Journal article]Authored by: Weigert Cassales, G.

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Steffenel, LA., Flauzac, O., Char ao, AS., Barcelos, PP., Stein, B., Cassales, GW., . . . others, . (2014). Mapreduce challenges on pervasive grids. Journal of Computer Science. 10, 2194-2210
[Journal article]Authored by: Weigert Cassales, G.

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Conference

Sun, Y., Gomes, HM., Lee, A., Gunasekara, N., Weigert Cassales, G., Liu, JJ., . . . Bifet, A. (2025). Machine Learning for Data Streams with CapyMOA. In I. Dutra, M. Pechenizkiy, P. Cortez, S. Pashami, A. Pasquali, N. Moniz, . . . J. Gama (Eds.) Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part X. Vol. 16022 (pp. 438 - 443). Cham, Switzerland: European Conference, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2025
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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Meason, D., Salekin, S., Lad, P., Owens, J., Zhang, Y., Villamor, G., . . . Matson, A. (2022, November). Forest Flows: Discovering Key Forest Hydrological Processes with the Integration of Multiple Terrestrial and Remote Sensing Technologies. Presented at American Society of Agronomy (ASA), Crop Science Society of America (CSSA), Soil Science Society of America (SSSA) International Annual Meeting. Baltimore, Maryland, United States of America.
[Conference Oral Presentation]Contributed to by: Weigert Cassales, G.

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Leveni, F., Cassales, GW., Pfahringer, B., Bifet, A., & Boracchi, G. (2024). Online Isolation Forest. Proceedings of Machine Learning Research. Vol. 235 (pp. 27288 - 27298).
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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5

Liu, JJ., Cassales, GW., Liu, FT., Pfahringer, B., & Bifet, A. (2025). Adaptive Isolation Forest. Lecture Notes in Computer Science. Vol. 16090 LNCS (pp. 363 - 378).
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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Cassales, GW., Petri, I., Gomes, HM., Rana, O., & Bifet, A. (2025). Edge Machine Learning for Solar Power Forecasting. Proceedings 2025 12th International Conference on Future Internet of Things and Cloud FiCloud 2025. (pp. 84 - 91). : 2025 12th International Conference on Future Internet of Things and Cloud (FiCloud)
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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Liu, JJ., Cassales, GW., Liu, FT., Pfahringer, B., & Bifet, A. (2025). Streaming Isolation Forest. Lecture Notes in Computer Science. Vol. 15870 LNCS (pp. 95 - 107).
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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Luna, R., Cassales, G., Pfahringer, B., Bifet, A., Gomes, HM., & Senger, H.Mini-batching with Fused Training and Testing for Data Streams Processing on the Edge. Proceedings of the 21st ACM International Conference on Computing Frontiers Cf 2024. (pp. 51 - 60).
[Conference]Authored by: Weigert Cassales, G.

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Koh, YS., Bifet, A., Bryan, K., Cassales, G., Graffeuille, O., Lim, N., . . . Gomes, HM. (2024). Time-evolving data science and artificial intelligence for advanced open environmental science (TAIAO) programme. In K. Larson (Ed.) Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence 2024 (IJCAI-24). (pp. 7314 - 7322). Jeju, Korea: Thirty-Third International Joint Conference on Artificial Intelligence 2024 (IJCAI-24)
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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Luna, R., Cassales, G., & Senger, H. (2023). Improving Performance and Energy Efficiency of the Classification of Data Streams on Edge Computing. Anais da XIV Escola Regional de Alto Desempenho de São Paulo (ERAD-SP 2023). (pp. 1 - 4). Porto Alegre, Brazil: 14ª Escola Regional de Alto Desempenho de São Paulo (ERAD-SP 2023)
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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Puhl, L., Cassales, GW., Guardia, HC., & Senger, H. (2021). Distributed Novelty Detection at the Edge for IoT Network Security. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. Vol. 12951 LNCS (pp. 471 - 486).
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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Cassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2021). Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching. Proceedings 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). (pp. 138 - 146). : 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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Cassales, GW., Senger, H., de Faria, ER., & Bifet, A. (2019). IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks. 2019 IEEE Symposium on Computers and Communications (ISCC). (pp. 1 - 7). Barcelona, Spain: 2019 IEEE Symposium on Computers and Communications (ISCC)
[Conference Paper in Published Proceedings]Authored by: Weigert Cassales, G.

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Meason, D., Salekin, S., Lad, P., Owens, J., Zhang, Y., Wade, A., . . . White, D.(2022, December). Forest Flows - Data Fusion of Remote Sensing and Real Time Terrestrial Data for Identifying and Quantifying the Drivers of Forest Hydrological Processes across Different Scales. AGU Fall Meeting Abstracts. (pp. H25K - 1241). Retreived from https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1138529
[Conference]Authored by: Weigert Cassales, G.

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Meason, D., Salekin, S., Lad, P., Owens, J., Zhang, Y., Villamor, G., . . . Matson, A. (2022). Forest Flows: Discovering Key Forest Hydrological Processes with the Integration of Multiple Terrestrial and Remote Sensing Technologies. In ASA, CSSA, SSSA International Annual Meeting: Communication and Public Engageement for a Healthy People and a Healthy Planet, American Society of Agronomy (ASA), Crop Science Society of America (CSSA), Soil Science Society of America (SSSA) International Annual Meeting Baltimore, Maryland
[Conference Abstract]Authored by: Weigert Cassales, G.

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Cassales, GW., Charao, A., Kirsch-Pinheiro, M., Souveyet, C., & Steffenel, L.(2014). Bringing context to apache hadoop. 8th International Conference on Mobile Ubiquitous Computing.
[Conference]Authored by: Weigert Cassales, G.

IP

Weigert Cassales, G., Pfahringer, B., Bifet, A., & Senger, H.. : MÉTODO, SISTEMA E DISPOSITIVO COMPUTACIONAL PARA AGRUPAMENTO DE DADOS E REORDENAÇÃO DE OPERAÇÕES DE COMITÊS DE CLASSIFICADORES EM APLICAÇÕES DE APRENDIZAGEM DE MÁQUINA
[Patent]Authored by: Weigert Cassales, G.

Uncategorised

Gomes, HM., Lee, A., Gunasekara, N., Sun, Y., Cassales, GW., Liu, J., . . . Bifet, A.FebruaryFebruaryGomes, HM., Lee, A., Gunasekara, N., Sun, Y., Cassales, GW., Liu, J., . . . Bifet, A.February
[Preprint]Authored by: Weigert Cassales, G.

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Sun, Y., Lim, N., Cassales, GW., Gomes, HM., Pfahringer, B., Bifet, A., . . . Dwivedi, A.AugustFebruarySun, Y., Lim, N., Cassales, GW., Gomes, HM., Pfahringer, B., Bifet, A., . . . Dwivedi, A.AugustMarch
[Preprint]Authored by: Weigert Cassales, G.

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Alencar, B., Rios, R., Cassales, GW., Gomes, H., Prazeres, C., Rios, TN., . . . Bifet, A.February
[Preprint]Authored by: Weigert Cassales, G.

Consultancy and Languages

Languages

English
Last used: Daily
Spoken ability: Excellent
Written ability: Excellent
Portuguese
Last used: Daily
Spoken ability: Excellent
Written ability: Excellent

Teaching and Supervision

Contact Supervisor

Summary of Doctoral Supervision

Position	Current	Completed
Co-supervisor	1	0

Current Doctoral Supervision

Co-supervisor of:

Jittarin Jetwiriyanon - Doctor of Philosophy
Smarter Predictions, Broader Horizons: Exploring the Limits and Enhancing the Capabilities of Time Series Foundational Models