Dr Guilherme Weigert Cassales staff profile picture

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

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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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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Leveni, F., Cassales, GW., Pfahringer, B., Bifet, A., & Boracchi, G.Online Isolation Forest. Proceedings of Machine Learning Research. (pp. 27288 - 27298).
[Conference]Authored by: Weigert Cassales, G.
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Liu, JJ., Cassales, GW., Liu, FT., Pfahringer, B., & Bifet, A.Adaptive Isolation Forest. Lecture Notes in Computer Science. (pp. 363 - 378). 0302-9743.
[Conference]Authored by: Weigert Cassales, G.
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Cassales, GW., Petri, I., Gomes, HM., Rana, O., & Bifet, A.(2025, August). Edge Machine Learning for Solar Power Forecasting. .
[Conference]Authored by: Weigert Cassales, G.
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Liu, JJ., Cassales, GW., Liu, FT., Pfahringer, B., & Bifet, A.Streaming Isolation Forest. Lecture Notes in Computer Science. (pp. 95 - 107). 0302-9743.
[Conference]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., Cassales, GW., Bryan, KR., Graffeuille, O., Lim, NJS., . . . others, .(2024, August). Time-evolving data science and artificial intelligence for advanced open environmental science (TAIAO) programme. .
[Conference]Authored by: Weigert Cassales, G.
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Luna, R., Cassales, GW., & Senger, H.(2023, July). Improving Performance and Energy Efficiency of the Classification of Data Streams on Edge Computing. Anais da XIV Escola Regional de Alto Desempenho de S ao Paulo. (pp. 1 - 4).
[Conference]Authored by: Weigert Cassales, G.
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Puhl, L., Cassales, GW., Guardia, HC., & Senger, H.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. (pp. 471 - 486). 0302-9743.
[Conference]Authored by: Weigert Cassales, G.
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Cassales, GW., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H.(2020, December). Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching. 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).
[Conference]Authored by: Weigert Cassales, G.
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Cassales, GW., Senger, H., de Faria, ER., & Bifet, A.(2019, June). IDSA-IoT: an intrusion detection system architecture for IoT networks. 2019 IEEE Symposium on Computers and Communications (ISCC). (pp. 1 - 7).
[Conference]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).
[Conference]Authored by: Weigert Cassales, G.
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. ASA, CSSA, SSSA International Annual Meeting. Retreived from https://scisoc.confex.com/scisoc/2022am/meetingapp.cgi/Paper/145323
[Conference]Authored by: Weigert Cassales, G.
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.

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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.August
[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