![Professor Shane Culpepper](/sites/default/files/profiles/41331.jpeg)
Overview
Background
Shane Culpepper is Professor of Artificial Intelligence at the University of Queensland in St. Lucia, Australia. Before joining the University of Queensland in 2023, Professor Culpeper held a continuing academic position at RMIT University in Melbourne, Australia. He received his PhD in Computer Science from the University of Melbourn in 2008. His research focuses primarily on building better Search and Recommendation Systems. Over his 16 year career, Professor Culpepper has supervised 19 PhD students and co-authored more than 120 peer reviewed papers with 127 different research collaborators on problems such as algorithm efficiency and scalability, new machine learning algorithms for search and recommendation systems, and evaluating search and recommendation engine quality. Professor Culpepper is also an active member in the international research community. In the last 5 years, he has been a program co-chair for international conferences such as SIGIR and CIKM, and co-organized conferences such as WSDM and SWIRL. Professor Culpepper previously held an ARC DECRA fellowship in 2013 as well as an RMIT Vice-Chancellor's Princpal Researcher fellowship in 2017. Before joining the University of Queensland. Professor Culpepper was the founding director of the Centre for Information Discovery and Data Analytics at RMIT University. In total, he has been a chief investigator on 11 reseach grants totalling ~$3.5 Million AUD. For more information, see his personal hoomepage.
Availability
- Professor Shane Culpepper is:
- Available for supervision
Fields of research
Qualifications
- Doctor of Philosophy of Computer Science, University of Melbourne
- Member, Association for Computing Machinery, Association for Computing Machinery
- Honorary Fellow, RMIT University, RMIT University
Works
Search Professor Shane Culpepper’s works on UQ eSpace
2016
Conference Publication
RMIT at the TREC 2016 LiveQA Track
Mackenzie, Joel, Chen, Ruey-Cheng and Culpepper, J. Shane (2016). RMIT at the TREC 2016 LiveQA Track. 25th Text REtrieval Conference, TREC 2016, Gaithersburg, MD United States, 15 November 2016. Gaithersburg, MD United States: National Institute of Standards and Technology.
2015
Conference Publication
Efficient location-aware web search
Mackenzie, Joel, Choudhury, Farhana M. and Culpepper, J. Shane (2015). Efficient location-aware web search. ADCS '15: The 20th Australasian Document Computing Symposium, Parramatta, NSW Australia, 8-9 December 2015. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2838931.2838933
2015
Conference Publication
Data fusion for Japanese term and character n-gram search
Yasukawa, Michiko, Culpepper, J. Shane and Scholer, Falk (2015). Data fusion for Japanese term and character n-gram search. Association for Computing Machinery. doi: 10.1145/2838931.2838939
2015
Conference Publication
On the cost of extracting proximity features for term-dependency models
Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2015). On the cost of extracting proximity features for term-dependency models. Association for Computing Machinery. doi: 10.1145/2806416.2806467
2015
Journal Article
Statistical comparisons of non-deterministic IR systems using two dimensional variance
Jayasinghe, Gaya K., Webber, William, Sanderson, Mark, Dharmasena, Lasitha S. and Culpepper, J. Shane (2015). Statistical comparisons of non-deterministic IR systems using two dimensional variance. Information Processing and Management, 51 (5), 677-694. doi: 10.1016/j.ipm.2015.06.005
2015
Conference Publication
Batch processing of Top-k Spatial-textual Queries
Choudhury, Farhana M., Culpepper, J. Shane and Sellis, Timos (2015). Batch processing of Top-k Spatial-textual Queries. Association for Computing Machinery, Inc. doi: 10.1145/2786006.2786008
2014
Conference Publication
Preface
Culpepper, J. Shane, Park, Laurence and Zuccon, Guido (2014). Preface. ADCS '14: Australasian Document Computing Symposium, Melbourne, Australia, 27-28 November 2014. New York, United States: Association for Computing Machinery. doi: 10.1016/S2212-5671(14)00870-3
2014
Conference Publication
Improving test collection pools with machine learning
Jayasinghe, Gaya K., Webber, William, Sanderson, Mark and Shane Culpepper, J. (2014). Improving test collection pools with machine learning. Association for Computing Machinery. doi: 10.1145/2682862.2682864
2014
Conference Publication
How effective are proximity scores in term dependency models?
Lu, Xiaolu, Moffat, Alistair and Shane Culpepper, J. (2014). How effective are proximity scores in term dependency models?. Association for Computing Machinery. doi: 10.1145/2682862.2682876
2014
Journal Article
Efficient and effective realtime prediction of drive-by download attacks
Jayasinghe, Gaya K., Culpepper, J. Shane and Bertok, Peter (2014). Efficient and effective realtime prediction of drive-by download attacks. Journal of Network and Computer Applications, 38 (1), 135-149. doi: 10.1016/j.jnca.2013.03.009
2014
Conference Publication
Evaluating non-deterministic retrieval systems
Jayasinghe, Gaya K., Webber, William, Sanderson, Mark, Dharmasena, Lasitha S. and Culpepper, J. Shane (2014). Evaluating non-deterministic retrieval systems. Association for Computing Machinery. doi: 10.1145/2600428.2609472
2014
Conference Publication
Extending test collection pools without manual runs
Jayasinghe, Gaya K., Webber, William, Sanderson, Mark and Culpepper, J. Shane (2014). Extending test collection pools without manual runs. Association for Computing Machinery. doi: 10.1145/2600428.2609473
2014
Conference Publication
Score-safe term dependency processing with hybrid indexes
Petri, Matthias, Moffat, Alistair and Culpepper, J. Shane (2014). Score-safe term dependency processing with hybrid indexes. Association for Computing Machinery. doi: 10.1145/2600428.2609469
2014
Journal Article
Indexing word sequences for ranked retrieval
Huston, Samuel, Culpepper, J. Shane and Croft, W. Bruce (2014). Indexing word sequences for ranked retrieval. ACM Transactions on Information Systems, 32 (1) 2559168. doi: 10.1145/2559168
2014
Conference Publication
TREC: Topic engineeRing ExerCise
Culpepper, J. Shane, Mizzaro, Stefano, Sanderson, Mark and Scholer, Falk (2014). TREC: Topic engineeRing ExerCise. Association for Computing Machinery. doi: 10.1145/2600428.2609531
2014
Journal Article
Large-scale pattern search using reduced-space on-disk suffix arrays
Gog, Simon, Moffat, Alistair, Culpepper, J. Shane, Turpin, Andrew and Wirth, Anthony (2014). Large-scale pattern search using reduced-space on-disk suffix arrays. IEEE Transactions on Knowledge and Data Engineering, 26 (8) 6573286, 1918-1931. doi: 10.1109/TKDE.2013.129
2013
Conference Publication
Chairs' Preface
Sitbon, Laurianne, Culpepper, Shane and Zuccon, Guido (2013). Chairs' Preface. ADCS '13: The Australasian Document Computing Symposium, Brisbane, QLD, Australia, 5-6 December 2013. New York, United States: Association for Computing Machinery.
2013
Conference Publication
Exploring the magic of WAND
Petri, Matthias, Culpepper, J. Shane and Moffat, Alistair (2013). Exploring the magic of WAND. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/2537734.2537744
2012
Journal Article
Open source information retrieval: a report on the SIGIR 2012 workshop
Trotman, Andrew, Clarke, Charles L.A., Ounis, Iadh, Culpepper, Shane, Cartright, Marc-Allen and Geva, Shlomo (2012). Open source information retrieval: a report on the SIGIR 2012 workshop. ACM SIGIR Forum, 46 (2), 95-101. doi: 10.1145/2422256.2422269
2012
Conference Publication
Sketch-based indexing of n-words
Huston, Samuel, Culpepper, J. Shane and Croft, W. Bruce (2012). Sketch-based indexing of n-words. doi: 10.1145/2396761.2398533
Supervision
Availability
- Professor Shane Culpepper is:
- Available for supervision
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Available projects
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Large Language Models for Search and Recommendation
Large Language Models such as ChatGPT offer enormous promise to users completing everyday tasks. However, these models confidently provide misinformation which can be very convincing. This project aims to explore new techniques to improve the effectiveness of LLMs.
Supervision history
Current supervision
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Master Philosophy
Search and Recommendation using Large Language Models
Principal Advisor
Other advisors: Dr Joel Mackenzie
Media
Enquiries
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