Overview
Background
Shane Culpepper is a Professor of Artificial Intelligence at the University of Queensland in St. Lucia, Australia. Before joining the University of Queensland in 2023, Professor Culpepper held a continuing academic position at RMIT University in Melbourne, Australia. He received his PhD in Computer Science from the University of Melbourne in 2008. His research focuses primarily on building better Search and Recommendation Systems and is primarily interested how to responsibly integrate efficient and scalable generative AI models for search, recommendation, and question answering. Professor Culpepper’s work has applications in a number of downstream applications for Legal, Health, real estate speculation. He has been instrumental in founding the AI Research Network and the Research Center for Enterprise AI at the University of Queensland.
Over his 17 year career, Professor Culpepper has supervised 19 PhD students and co-authored more than 140 peer reviewed papers with 132 different research collaborators on problems that range from core basic research, such as algorithm efficiency and scalability, to practical real world problems on building and deploying new machine learning algorithms for search and recommendation systems. While often technical, his work is always user-driven as humans are the main consumers of this technology. This user-centric research focus has led to several papers on controlled user studies which guide the development of better evaluation techniques which model human behaviour. In the last 5 years, Professor Culpepper 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 Principal 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 research grants totalling ~$3.8 Million AUD.
Availability
- Professor Shane Culpepper is:
- Available for supervision
- Media expert
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
2011
Conference Publication
RMIT at TREC 2011 microblog track
Petri, Matthias, Shane Culpepper, J. and Scholer, Falk (2011). RMIT at TREC 2011 microblog track. National Institute of Standards and Technology.
2011
Conference Publication
Backwards search in context bound text transformations
Petri, Matthias, Navarro, Gonzalo, Culpepper, J. Shane and Puglisi, Simon J. (2011). Backwards search in context bound text transformations. doi: 10.1109/CCP.2011.18
2010
Journal Article
Efficient set intersection for inverted indexing
Culpepper, J. Shane and Moffat, Alistair (2010). Efficient set intersection for inverted indexing. ACM Transactions on Information Systems, 29 (1) 1, 1-25. doi: 10.1145/1877766.1877767
2010
Conference Publication
Top-k ranked document search in general text databases
Culpepper, J. Shane, Navarro, Gonzalo, Puglisi, Simon J. and Turpin, Andrew (2010). Top-k ranked document search in general text databases. 18th European Symposium on Algorithms (ESA), Liverpool England, Sep 06-08, 2010. BERLIN: SPRINGER-VERLAG BERLIN. doi: 10.1007/978-3-642-15781-3_17
2009
Conference Publication
Including summaries in system evaluation
Turpin, Andrew, Scholer, Falk, Jarvelin, Kalvero, Wu, Mingfang and Culpepper, J. Shane (2009). Including summaries in system evaluation. 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Boston Ma, Jul 19-23, 2009. NEW YORK: ASSOC COMPUTING MACHINERY. doi: 10.1145/1571941.1572029
2009
Conference Publication
Entropy of the retina template
Arakala, A., Culpepper, J. S., Jeffers, J., Turpin, A., Boztaş, S., Horadam, K. J. and McKendrick, A. M. (2009). Entropy of the retina template. doi: 10.1007/978-3-642-01793-3_126
2007
Journal Article
Hybrid bitvector index compression
Moffat, Alistair and Culpepper, J. Shane (2007). Hybrid bitvector index compression. ADCS 2007 - Proceedings of the Twelfth Australasian Document Computing Symposium, 25-31.
2007
Conference Publication
Compact set representation for information retrieval
Culpepper, J. Shane and Moffat, Alistair (2007). Compact set representation for information retrieval. 14th International Symposium on String Processing and Information Retrieval, Santiago Chile, Oct 29-31, 2007. BERLIN: Springer Verlag. doi: 10.1007/978-3-540-75530-2_13
2006
Conference Publication
Phrase-based pattern matching in compressed text
Culpepper, J. Shane and Moffat, Alistair (2006). Phrase-based pattern matching in compressed text. 13th International Conference on String Processing and Information Retrieval, SPIRE 2006, Glasgow, Scotland, 11-13 October 2006. Heidelberg, Germany: Springer. doi: 10.1007/11880561_28
2005
Conference Publication
Enhanced byte codes with restricted prefix properties
Culpepper, J. Shane and Moffat, Alistair (2005). Enhanced byte codes with restricted prefix properties. 12th International Conference on String Processing and Information Retrieval, Buenos Aires Argentina, Nov 02-04, 2005. BERLIN: SPRINGER-VERLAG BERLIN. doi: 10.1007/11575832_1
1995
Journal Article
Efficient Syntheses of the Marine Alkaloiss Makaluvamine D and Discorhabdnn C: The 4,6,7-Trimethoxyindole Approach
Sadanandan, Eyyani V., Pillai, Sasi K., Lakshmikantham, M. V., Billimoria, Adil D., Culpepper, J. Shane and Cava, Michael P. (1995). Efficient Syntheses of the Marine Alkaloiss Makaluvamine D and Discorhabdnn C: The 4,6,7-Trimethoxyindole Approach. Journal of Organic Chemistry, 60 (6), 1800-1805. doi: 10.1021/jo00111a043
Supervision
Availability
- Professor Shane Culpepper is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Available projects
-
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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Doctor Philosophy
Using Large Language Models to Improve Search andRecommendation
Principal Advisor
Other advisors: Dr Joel Mackenzie
-
Doctor Philosophy
Using Large Language Models and Knowledge Graphs to Improve Search and Recommendation
Principal Advisor
Other advisors: Dr Joel Mackenzie
-
Doctor Philosophy
Efficient Next-Generation Information Retrieval Systems
Associate Advisor
Other advisors: Dr Joel Mackenzie
Media
Enquiries
Contact Professor Shane Culpepper directly for media enquiries about:
- Generative AI
- Large Language Models
- Search and Recommendation
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