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Service

Reviewer and/or PC member: Journals

Neurocomputing (Elsevier) - 2016, 2017; Transactions on Big Data (IEEE) - 2017; International Journal of Data Science and Analytics (Springer) - 2017; Information Systems - 2017; Data Mining and Knowledge Discovery - 2018, 2019, 2020, 2021; TKDE - 2018, 2019, 2020; IEEE Access - 2019; Journal of Machine Learning (JMLR) - 2019, 2020; Knowledge and Information Systems (KAIS) - 2019; Information Fusion 2023; Machine Learning (Springer) 2020-2023;

Reviewer and/or PC member: Conferences

SIGKDD - 2019, 2020, 2021, 2022; IJCAI - 2018-2023; AAAI - 2019-2023; ECML - 2019, 2020, 2022, 2023; PAKDD - 2018, 2019, 2020, 2021; ICDM - 2017; IEEE International Conference on Big Data - 2017; ICONIP 2019; ECAI 2020; ESANN 2019; ACM SAC (Data Streams Track) -2017, 2018, 2019, 2020, 2021;

Others

Ad-hoc Reviewer for Chile Research Commission CONICYT - 2017; Udacity Machine Learning Engineer Nanodegree - 2016-2021;

PhD Examiner

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

Chair, Co-chair or Organizer

Editorial board. Machine Learning journal - Springer, 2022-2023.
AusDM’22 Research PC Chair, Sidney, Australia, 2022.
IEEE International Conference on Data Mining (ICDM) 2021. Online Experience/Virtual Chair. Auckland, New Zealand. Website
ACM Symposium on Applied Computing Data Streams Track. In conjunction with ACM Symposium on Applied Computing: The 36th Annual ACM Symposium on Applied Computing 2021. Gwangju, Korea. Website.
Second International Workshop on Energy Efficient Scalable Data Mining and Machine Learning. Co-located with ECML PKDD 2019. Würzburg, Germany. Website.

Funding

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)
2022-2027, Time-Evolving Data Science/Artificial Intelligence for Advanced Open Environmental Science (TAIAO), MBIE SSIF Fund on Data Science. $13,000,000 NZD. (Key Researcher)
2020-2021, University of Waikato Strategic research fund ($29,000 NZD) (Sole PI)

Grants, 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.

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.

Heitor Murilo Gomes

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