CV
Work experience
- 2022 – Current, Senior Lecturer (Assistant Professor) in Artificial Intelligence at Victoria University of Wellington, Wellington, New Zealand
- 2019 – 2022, Senior Research Fellow, Hamilton, New Zealand
- 2017 – 2019, Postdoctoral Researcher at Télécom ParisTech, Paris, France
- 2016 – 2016, PhD internship at Télécom ParisTech, Paris, France.
- 2015 – 2015, Student mentor at Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
- 2013 – 2019, Independent machine learning consultant, remote
- 2012 - 2014, Computer Science Assistant Professor (Lecturer) at UTP University, Curitiba, Brazil
- 2009 – 2012 SAP Security Analyst at ExxonMobil, Curitiba, Brazil
- 2008 – 2009, Developer & System analyst at AM&RM, Curitiba, Brazil
Education
- Ph.D. degree in Computer Science, Graduate Program in Informatics (PPGIa), Pontifícia Universidade Católica do Paraná, Brazil, 2013-2017.
- M.Sc. degree in Computer Science, Graduate Program in Informatics (PPGIa), Pontifícia Universidade Católica do Paraná, Brazil, 2011-2012.
- B.Sc. degree in Computer Science, UTP, Brazil, 2007-2010.
Funding
- 2025-2029, Tūwhana SCC-Fort, MBIE Research Programme, $7,500,000 NZD (Work stream leader)
- 2025-2027, Transformers Applied to Multimodal Detection of Malicious Code with Few Examples, CNPq/MCTI/FNDCT Nº 22/2024, $118,000 NZD (Key researcher)
- 2025-2027, Advanced Mitigation of DDoS Attacks: Integration of Machine Learning for Data Streams and Programmable Network Devices, CNPq/MCTI/FNDCT Nº 22/2024, $135,000 NZD (Key researcher)
- 2022-2027, Time-Evolving Data Science/Artificial Intelligence for Advanced Open Environmental Science (TAIAO), MBIE SSIF Fund on Data Science. $13,000,000 NZD. (Work stream leader)
- 2023-2026, Exploring Disagreement-Based Learning for partially labelled data stream classification, 22-UOW-066, Marsden Fund (Fast-Start), $360,000 NZD (Sole PI)
- 2023-2024, Tackling energy demand forecast drifts, VUW University Faculty Research Establishment Grant Application, $27,640 NZD (Sole PI)
- 2023-2024, Time Series Analysis with Ordinal Patterns: Transformative Theoretical Advances and New Applications, VUW Faculty Strategic Research Grant, $47,613 NZD. (Co-PI)
- 2020-2021, University of Waikato Strategic research fund ($29,000 NZD) (Sole PI)
Chair, Co-chair or Organizer
- Chair. AAAI Bridge program. Streaming Continual Learning, 2026
- Editor. International Journal of Data Science and Analytics, 2024-current.
- Editorial board. Machine Learning journal - Springer, 2022-ongoing.
- Publicity chair. PRICAI 2025, Wellington, New Zealand.
- Nectar track chair. ECML PKDD 2024. Vilnius, Lithuania.
- AusDM’22 Research PC Chair, Sidney, Australia, 2022.
- IEEE International Conference on Data Mining (ICDM) 2021. Online Experience/Virtual Chair. Auckland, New Zealand. Website
- Track co-chair. ACM Symposium on Applied Computing Data Streams Track. In conjunction with ACM Symposium on Applied Computing. 2021, 2022, 2023, 2024, 2025, 2026.
- Second International Workshop on Energy Efficient Scalable Data Mining and Machine Learning. Co-located with ECML PKDD 2019. Würzburg, Germany. Website.
Awards and Honors
- Added to the Honor Roll of Outstanding Reviewers PAKDD 2020. Website
- PhD Grants. From September 2014 until March 2017 I was recipient of a scholarship from CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) and from Fundação Araucária.
- Best Paper Award Information Systems (ACM SAC 2014). Best paper award for the paper entitled SAE2: Advances on the Social Adaptive Ensemble Classifier for Data Streams.
Service
Reviewer and/or PC member
Since 2017 I contribute or have contributed as PC member/Senior PC member for the following conferences and journals:
- ACM SIGKDD, AAAI, IJCAI, ECML-PKDD, IEEE ICDM, ESANN, ECAI, ACM SAC (data streams track), …
- Machine Learning (Springer), Data Mining and Knowledge Discovery (DAMI), IEEE TKDE, Journal of Machine Learning (JMLR), Knowledge and Information Systems (KAIS), Information Fusion, IEEE Transactions on Big Data, …
PhD Examination
- 2025 Examiner for Marco Heyden, Karlsruher Institut für Tehchnologie (KIT). Thesis title: Efficient Decision-Making in Data Streams under Limited Feedback.
- 2025 Examiner for Jingrui Zhang, University of Auckland. Thesis title: Explainable Anomaly Detection with Few Labeled Data.
- 2024 Examiner for Christian Raymond, Victoria University of Wellington. Thesis title: Meta-Learning Loss Functions for Deep Neural Networks.
- 2023 Examiner for Katharina Dost, University of Auckland. Thesis title: Selection Bias Identification and Mitigation With No Ground Truth Information.
- 2022 Examiner for Ocean Wu, University of Auckland. Thesis title: Learning and Adapting Continuously for Data Streams
Publications
See my publications page.
Talks
July 01, 2017
Talk at Harbin Institute of Technology, Shenzhen, China
May 23, 2018
Tutorial at ExCel London, London, UK
July 08, 2018
Tutorial at Barra da Tijuca Beach Windsor, Rio de Janeiro, Brazil
September 10, 2018
Tutorial at Croke Park Conference Centre, Dublin, Ireland
September 13, 2018
Talk at Javits Center, New York, USA
October 03, 2018
Talk at ExCel London, London, UK
September 26, 2019
Talk at Javits Center, New York, USA
November 15, 2019
Seminar at INESC-TEC, Porto, Portugal
November 20, 2019
Lecture at Telecom Paris, Paris, France
January 07, 2021
Tutorial at International Joint Conference on Artificial Intelligence, Yokohama, Japan
January 07, 2021
Tutorial at AIRA 2021, Hobbiton, New Zealand
April 25, 2021
Presentation at ENZ Latin America Masterclass, Online
April 25, 2021
Presentation at UoW Machine Learning Seminar, Online
May 17, 2021
Presentation at Cardiff University seminar, Online
September 09, 2021
Presentation at Itau Data Science Talk, Online
November 26, 2021
Presentation at International WEKA user conference, Hamilton, New Zealand
December 07, 2021
Presentation at ICDM workshop (IncrLearn 2021), Auckland, New Zealand
September 22, 2022
Presentation at Michigan Technological University, Online
November 28, 2022
Tutorial at AIRA 2022, University of Canterbury, New Zealand
March 31, 2023
Presentation at Stats NZ data science seminar, Online
April 25, 2023
Presentation at China University of Mining and Technology, Online
May 18, 2023
Presentation at University of Waikato, Online
May 08, 2024
Tutorial at Taipei International Convention Center, Taipei, Taiwan
August 03, 2024
Tutorial at International Convention Center Jeju (ICC Jeju), Jeju Island, South Korea
August 26, 2024
Tutorial at Centre de Convencions Internacional de Barcelona, Barcelona, Spain
Teaching