Professor Justin Zobel

  • Room: Level: 09 Room: 9.25
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Algorithms and data structures
  • Bioinformatics and health informatics
  • Research methods
  • Search engines and information retrieval

Personal webpage

http://people.eng.unimelb.edu.au/jzobel

Biography

Professor Justin Zobel is a Redmond Barry Distinguished Professor in the School of Computing and Information Systems and Pro Vice-Chancellor (Graduate and International Research). He received his PhD from the University of Melbourne and, prior to returning to Melbourne in 2008, worked at RMIT and NICTA. Prof Zobel is an associate editor of the International Journal of Information Retrieval and in 2008-9 was President of the CORE association of Australasian Departments & Schools of Computer Science. In the research community, he is best known for his role in the development of algorithms for efficient text retrieval. He is the author of "Writing for Computer Science", third edition, and co-author of "How to Write a Better Thesis", third edition and "How to Write a First Minor Thesis". His interests include search, fundamental data structures, and research methods.

Recent publications

  1. Bouadjenek M, Zobel J, Verspoor C. Automated assessment of biological database assertions using the scientific literature. BMC BIOINFORMATICS. Biomed Central. 2019, Vol. 20, Issue 1. DOI: 10.1186/s12859-019-2801-x
  2. Wicaksono A, Moffat A, Zobel J. Modeling user actions in job search. European Conference on Information Retrieval. Springer Verlag. 2019, Vol. 11437 LNCS. DOI: 10.1007/978-3-030-15712-8_42
  3. Salehi B, Spina D, Moffat A, Sadeghi S, Scholer F, Baldwin T, Cavedon L, Sanderson M, Wong W, Zobel J. A living lab study of query amendment in job search. 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR). 2018. DOI: 10.1145/3209978.3210082
  4. Spina D, Maistro M, Ren Y, Sadeghi S, Wong W, Baldwin T, Cavedon L, Moffat A, Sanderson M, Scholer F, Zobel J. A preliminary comparison of job, talent, and web search. 9th Italian Information Retrieval Workshop (IRR). Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V. 2018, Vol. 2140.
  5. Chen Q, Wan Y, Zhang X, Lei Y, Zobel J, Verspoor C. Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases. ACM JOURNAL OF DATA AND INFORMATION QUALITY. Association for Computing Machinery Inc.. 2018, Vol. 9, Issue 3. DOI: 10.1145/3131611
  6. Chen Q, Zhang X, Wan Y, Zobel J, Verspoor C. Search Effectiveness in Nonredundant Sequence Databases: Assessments and Solutions.. Journal of Computational Biology. Mary Ann Liebert Publishers. 2018, Vol. 26, Issue 6. DOI: 10.1089/cmb.2018.0198
  7. Ferro N, Fuhr N, Grefenstette G, Konstan JA, Castells P, Daly EM, Declerck T, Ekstrand MD, Geyer W, Gonzalo J, Kuflik T, Lindn K, Magnini B, Nie J-Y, Perego R, Shapira B, Soboroff I, Tintarev N, Verspoor K, Willemsen MC, Zobel J. The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. ACM SIGIR Forum. Association for Computing Machinery. 2018, Vol. 52, Issue 1. DOI: 10.1145/3274784.3274789
  8. Zobel J. What We Talk About When We Talk About Information Retrieval. ACM SIGIR Forum. Association for Computing Machinery. 2018, Vol. 51, Issue 3. DOI: 10.1145/3190580.3190584
  9. Krishnan U, Moffat A, Zobel J. A taxonomy of query auto completion modes. ACM International Conference Proceeding Series. 2017, Vol. 2017-December. DOI: 10.1145/3166072.3166081
  10. Bouadjenek M, Verspoor C, Zobel J. Automated detection of records in biological sequence databases that are inconsistent with the literature. JOURNAL OF BIOMEDICAL INFORMATICS. Academic Press. 2017, Vol. 71. DOI: 10.1016/j.jbi.2017.06.015
  11. Bouadjenek M, Verspoor C, Zobel J. Automated Detection of Records in Biological Sequence Databases that are Inconsistent with the Literature. . 2017. DOI: 10.1101/101246
  12. Chen Q, Zobel J, Verspoor C. Benchmarks for measurement of duplicate detection methods in nucleotide databases.. Database (Oxford). Oxford University Press. 2017. DOI: 10.1093/database/baw164
  13. Graham Y, Baldwin T, Moffat A, Zobel J. Can machine translation systems be evaluated by the crowd alone. NATURAL LANGUAGE ENGINEERING. Cambridge University Press. 2017, Vol. 23, Issue 1. DOI: 10.1017/S1351324915000339
  14. Chen Q, Zobel J, Verspoor C. Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION. Oxford University Press. 2017. DOI: 10.1093/database/baw163
  15. Zobel J, Ferro N, Fuhr N, Grefenstette G, Konstan JA, Castells P, Daly EM, Declerck T, Ekstrand MD, Geyer W, Gonzalo J, Kuflik T, Lind√Čn K, Magnini B, Nie J-Y, Perego R, Shapira B, Soboroff I, Tintarev N, Verspoor C, Willemsen MC. From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences. Dagstuhl Manifesto. Schloss Dagstuhl. 2017. DOI: 10.4230/DagMan.7.1.96

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile