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. Krishnan, U.; Billerbeck, B.; Moffat, A.; Zobel, J. Abstraction of query auto completion logs for anonymity-preserving analysis. Information Retrieval Journal. Springer Verlag. 2019, Vol. 22, Issue 5, pp. 499-524. DOI: 10.1007/s10791-019-09359-8
  2. Bouadjenek, MR.; Zobel, J.; Verspoor, K. Automated assessment of biological database assertions using the scientific literature. BMC Bioinformatics. BMC. 2019, Vol. 20, Issue 1, pp. 1-22. DOI: 10.1186/s12859-019-2801-x
  3. Al Bkhetan, Z.; Zobel, J.; Kowalczyk, A.; Verspoor, K.; Goudey, B. Exploring effective approaches for haplotype block phasing.. BMC Bioinformatics. Springer Science and Business Media LLC. 2019, Vol. 20, Issue 1, pp. 540-. DOI: 10.1186/s12859-019-3095-8
  4. Wicaksono, AF.; Moffat, A.; Zobel, J. Modeling user actions in job search. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2019, Vol. 11437 LNCS, pp. 652-664. DOI: 10.1007/978-3-030-15712-8_42
  5. Chen, Q.; Britto, R.; Erill, I.; J. Jeffery, C.; Liberzon, A.; Magrane, M.; Onami, J-I.; Robinson-rechavi, M.; Sponarova, J.; Zobel, J.; Verspoor, K. Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases. . Cold Spring Harbor Laboratory. 2019. DOI: 10.1101/788034
  6. 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. The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18. ACM. 2018, pp. 905-908. DOI: 10.1145/3209978.3210082
  7. 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. CEUR Workshop Proceedings. CEUR Workshop Proceedings. 2018, Vol. 2140.
  8. Chen, Q.; Wan, Y.; Zhang, X.; Lei, Y.; Zobel, J.; Verspoor, K. Comparative Analysis of Sequence Clustering Methods for Deduplication of Biological Databases. Journal of Data and Information Quality. ASSOC COMPUTING MACHINERY. 2018, Vol. 9, Issue 3. DOI: 10.1145/3131611
  9. Chen, Q.; Zhang, X.; Wan, Y.; Zobel, J.; Verspoor, K. Search Effectiveness in Nonredundant Sequence Databases: Assessments and Solutions.. Journal of Computational Biology. Mary Ann Liebert. 2018, Vol. 26, Issue 6, pp. 605-617. DOI: 10.1089/cmb.2018.0198
  10. Krishnan, U.; Moffat, A.; Zobel, J. A taxonomy of query auto completion modes. Proceedings of the 22nd Australasian Document Computing Symposium on - ADCS 2017. ACM Press. 2017, Vol. 2017-December. DOI: 10.1145/3166072.3166081
  11. Bouadjenek, MR.; Verspoor, K.; Zobel, J. Automated detection of records in biological sequence databases that are inconsistent with the literature. Journal of Biomedical Informatics. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2017, Vol. 71, pp. 229-240. DOI: 10.1016/j.jbi.2017.06.015
  12. Chen, Q.; Zobel, J.; Verspoor, K. Benchmarks for measurement of duplicate detection methods in nucleotide databases.. Database. Oxford University Press (OUP). 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 UNIV PRESS. 2017, Vol. 23, Issue 1, pp. 3-30. DOI: 10.1017/S1351324915000339
  14. Chen, Q.; Zobel, J.; Verspoor, K. Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study. Database. OXFORD UNIV PRESS. 2017, Vol. 2017, Issue 1. 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.; Lindén, K.; Magnini, B.; Nie, J-Y.; Perego, R.; Shapira, B.; Soboroff, I.; Tintarev, N.; Verspoor, K.; Willemsen, MC. From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences. . Schloss Dagstuhl. 2017. DOI: 10.4230/DagMan.7.1.96
  16. Bouadjenek, MR.; Verspoor, K.; Zobel, J. Learning Biological Sequence Types Using the Literature. Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17. Association for Computing Machinery. 2017, Vol. Part F131841, pp. 1991-1994. DOI: 10.1145/3132847.3133051
  17. Bouadjenek, MR.; Verspoor, K.; Zobel, J. Literature consistency of bioinformatics sequence databases is effective for assessing record quality. Database. OXFORD UNIV PRESS. 2017, Vol. 2017, Issue 1. DOI: 10.1093/database/bax021
  18. Fray, K.; Morgan, K.; Wirth, A.; Zobel, J. Practical adaptive search trees with performance bounds. Proceedings of the Australasian Computer Science Week Multiconference on - ACSW '17. ACM Press. 2017. DOI: 10.1145/3014812.3014836
  19. Chen, Q.; Zhang, X.; Wan, Y.; Zobel, J.; Verspoor, K. Sequence clustering methods and completeness of biological database search. CEUR Workshop Proceedings. 2017, Vol. 1942, pp. 8-14.
  20. Spina, D.; Maistro, M.; Ren, Y.; Sadeghi, S.; Wong, W.; Baldwin, T.; Cavedon, L.; Moat, A.; Sanderson, M.; Scholer, F.; Zobel, J. Understanding user behavior in job and talent search: An initial investigation. CEUR Workshop Proceedings. 2017, Vol. 2311.

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