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Professor Gill Dobbie

Biography

Gill worked in industry for a couple of years before she became an academic. She has held permanent and visiting positions at the University of Melbourne, Victoria University of Wellington and the National University of Singapore.

Research | Current

Gill has a wide range of research interests, including databases, the web, and software engineering.

She is interested both in structured and semistructured data. More specifically, she is interested in how data can best be organized and managed, how the semantics of the data can be retained and expressed, and how querying can be carried out efficiently.

Her main areas of interest pertain to databases and the web. She has worked in the foundations of database systems, defining logical models for various kinds of database systems, and reasoning about the correctness of algorithms in that setting. With colleagues at the National University of Singapore, she has defined a data model for semistructured data (called ORA-SS), providing a language independent description of the data. The group she was working with has used the ORA-SS data model to define a normal form for ORA-SS schema, defined valid views for semistructured databases, and described a storage structure for semistructured databases using object relational databases.

Selected publications and creative works (Research Outputs)

  • Anderson, R., Koh, Y. S., Dobbie, G., & Bifet, A. (2019). Recurring concept meta-learning for evolving data streams. EXPERT SYSTEMS WITH APPLICATIONS, 13810.1016/j.eswa.2019.112832
    Other University of Auckland co-authors: Yun Sing Koh
  • Cai, C.-H., Sun, J., & Dobbie, G. (2019). Automatic B-model repair using model checking and machine learning. AUTOMATED SOFTWARE ENGINEERING, 26 (3), 653-704. 10.1007/s10515-019-00264-4
    Other University of Auckland co-authors: Jing Sun
  • Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2019). Identifying Top-k Nodes in Social Networks: A Survey. ACM COMPUTING SURVEYS, 52 (1)10.1145/3301286
    Other University of Auckland co-authors: Yun Sing Koh
  • Wong, W., Koh, Y. S., & Dobbie, G. (2019). Using transfer learning to detect phishing in countries with a small population. Communications in Computer and Information Science. 10.1007/978-981-15-1699-3_11
    Other University of Auckland co-authors: Yun Sing Koh
  • Anderson, R., Koh, Y. S., & Dobbie, G. (2019). Classifying imbalanced road accident data using recurring concept drift. Communications in Computer and Information Science. 10.1007/978-981-15-1699-3_12
    Other University of Auckland co-authors: Yun Sing Koh
  • Cai, C. H., Sun, J., & Dobbie, G. (2019). Design Model Repair with Formal Verification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-030-32409-4_30
    Other University of Auckland co-authors: Jing Sun
  • Bian, R., Koh, Y. S., Dobbie, G., & Divoli, A. (2019). Network Embedding and Change Modeling in Dynamic Heterogeneous Networks. Paper presented at 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, FRANCE. 21 July - 25 July 2019. PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19). (pp. 4). 10.1145/3331184.3331273
    Other University of Auckland co-authors: Yun Sing Koh
  • Huang, D. T. J., Koh, Y. S., & Dobbie, G. (2019). Interpreting intermittent bugs in mozilla applications using change angle. Communications in Computer and Information Science. 10.1007/978-981-13-6661-1_25
    Other University of Auckland co-authors: Yun Sing Koh, David Huang

Identifiers

Contact details

Primary office location

SCIENCE CENTRE 303 - Bldg 303
38 PRINCES ST
AUCKLAND CENTRAL
AUCKLAND 1010
New Zealand

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