Professor Andrew Turpin

  • Room: Level: 09 Room: 9.19
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Computational problems in optometry and ophthalmology (human vision, modelling, simulation)
  • Text compression and search (pattern search, data compression, string search)

Personal webpage

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

Biography

Professor Andrew Turpin is Deputy Head (Engagement) School of Computing and Information Systems at the University of Melbourne.

I enjoy applying theoretical computer science research in algorithms and data structures to real world problems across many domains. The common thread across my projects in health, political science, data analytics and information retrieval is speed: I like algoritmics and making code that runs fast (and accurately!). This often involves working with large data sets, which requires custom software for processing, and specialised tasks that require novel algorithms (like visual field testing).
I work with companies in Australia, Germany, Italy, Switzerland, USA on computation problems in glaucoma assessment.
Research interests 

Computational problems in human vision
Open Perimetry Interface
Algorithms for testing visual acuity (eye charts)
Classification of glaucoma patients
Psypad, an iPad app for visual psychophysics
Data compression and string searching
Performance of IR systems with real users
How do people use snippets in Web search result lists?
What does it mean to judge a document relevant to a query?

Recent publications

  1. Ho CYD, Wu Z, Turpin A, Lawson D, Luu C, McKendrick A, Guymer R. A Tablet-Based Retinal Function Test in Neovascular Age-Related Macular Degeneration Eyes and At-Risk Fellow Eye. TRANSLATIONAL VISION SCIENCE & TECHNOLOGY. Association for Research in Vision and Ophthalmology Inc. 2018, Vol. 7, Issue 2. DOI: 10.1167/tvst.7.2.2
  2. Bedggood P, Tanabe F, McKendrick A, Turpin A, Anderson A, Bui B. Optic nerve tissue displacement during mild intraocular pressure elevation: its relationship to central corneal thickness and corneal hysteresis. Ophthalmic and Physiological Optics. Elsevier Science. 2018, Vol. 38, Issue 4. DOI: 10.1111/opo.12568
  3. Hussain M, Bhuiyan A, Turpin A, Luu C, Smith RT, Guymer R, Kotagiri R. Automatic Identification of Pathology-Distorted Retinal Layer Boundaries Using SD-OCT Imaging. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. IEEE - Institute of Electrical and Electronic Engineers. 2017, Vol. 64, Issue 7. DOI: 10.1109/TBME.2016.2619120
  4. McKendrick A, Chan Y, Vingrys A, Turpin A, Badcock DR. Daily vision testing can expose the prodromal phase of migraine. Cephalalgia. Blackwell Publishers. 2017. DOI: 10.1177/0333102417741130
  5. Maddalena E, Mizzaro S, Scholer F, Turpin A. On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation. ACM TRANSACTIONS ON INFORMATION SYSTEMS. Association for Computing Machinery Inc.. 2017, Vol. 35, Issue 3. DOI: 10.1145/3002172
  6. Buchanan G, McKay D, Furtado De Mendonca Moncores Velloso E, Moffat A, Turpin A, Scholer F. Only forward? toward understanding human visual behaviour when examining search results. 29th Australian Computer-Human Interaction Conference (OzCHI 2017). 2017, Vol. Part F134477. DOI: 10.1145/3152771.3156165
  7. Bedggood P, Nguyen B, Lakkis G, Turpin A, McKendrick A. Orientation of the Temporal Nerve Fiber Raphe in Healthy and in Glaucomatous Eyes. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. Association for Research in Vision and Ophthalmology Inc. 2017, Vol. 58, Issue 10. DOI: 10.1167/iovs.17-21995
  8. An D, House P, Barry C, Turpin A, McKendrick A, Chauhan BC, Manners S, Graham SL, Yu D-Y, Morgan WH. The association between retinal vein pulsation pressure and optic disc haemorrhages in glaucoma. PLOS ONE. Public Library of Science. 2017, Vol. 12, Issue 7. DOI: 10.1371/journal.pone.0182316
  9. McKendrick A, Denniss J, Wang YX, Jonas JB, Turpin A. The Proportion of Individuals Likely to Benefit from Customized Optic Nerve Head Structure-Function Mapping. OPHTHALMOLOGY. Elsevier Science. 2017, Vol. 124, Issue 4. DOI: 10.1016/j.ophtha.2016.12.016
  10. Chong L, Turpin A, McKendrick A. Assessing the GOANNA Visual Field Algorithm Using Artificial Scotoma Generation on Human Observers. TRANSLATIONAL VISION SCIENCE & TECHNOLOGY. Association for Research in Vision and Ophthalmology Inc. 2016, Vol. 5, Issue 5. DOI: 10.1167/tvst.5.5.1
  11. Bedggood P, Tanabe F, McKendrick A, Turpin A. Automatic identification of the temporal retinal nerve fiber raphe from macular cube data. BIOMEDICAL OPTICS EXPRESS. Optical Society of America. 2016, Vol. 7, Issue 10. DOI: 10.1364/BOE.7.004043
  12. Canovas R, Moffat A, Turpin A. CSAM: Compressed SAM format. BIOINFORMATICS. Oxford University Press. 2016, Vol. 32, Issue 24. DOI: 10.1093/bioinformatics/btw543
  13. Turpin A, Myers JS, McKendrick A. Development of Visual Field Screening Procedures: A Case Study of the Octopus Perimeter. TRANSLATIONAL VISION SCIENCE & TECHNOLOGY. Association for Research in Vision and Ophthalmology Inc. 2016, Vol. 5, Issue 3. DOI: 10.1167/tvst.5.3.3
  14. Anderson A, McKendrick A, Turpin A. Do Intense Perimetric Stimuli Saturate the Healthy Visual System?. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. Association for Research in Vision and Ophthalmology Inc. 2016, Vol. 57, Issue 14. DOI: 10.1167/iovs.16-20004
  15. Yang Z, Moffat A, Turpin A. How Precise Does Document Scoring Need to Be?. 12th Asia-Information-Retrieval-Societies Conference (AIRS). Springer Verlag. 2016, Vol. 9994. Editors: Ma S, Wen JR, Liu Y, Dou Z, Zhang M, Chang Y, Zhao X. DOI: 10.1007/978-3-319-48051-0_21

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