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
2016
Conference Publication
Maximizing bichromatic reverse spatial and textual k nearest neighbor queries
Choudhury, Farhana M., Culpepper, J. Shane, Sellis, Timos and Cao, Xin (2016). Maximizing bichromatic reverse spatial and textual k nearest neighbor queries. 42nd International Conference on Very Large Data Bases, New Delhi, India, 9 September 2016. New York, NY United States: Association for Computing Machinery. doi: 10.14778/2904121.2904122
2016
Journal Article
Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments
Clarke, Charles L. A., Culpepper, J. Shane and Moffat, Alistair (2016). Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments. Information Retrieval Journal, 19 (4), 351-377. doi: 10.1007/s10791-016-9279-1
2016
Journal Article
The effect of pooling and evaluation depth on IR metrics
Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2016). The effect of pooling and evaluation depth on IR metrics. Information Retrieval Journal, 19 (4), 416-445. doi: 10.1007/s10791-016-9282-6
2016
Conference Publication
Load-balancing in distributed selective search
Kim, Yubin, Callan, Jamie, Culpepper, J. Shane and Moffat, Alistair (2016). Load-balancing in distributed selective search. SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval, Pisa, Italy, 17 - 21 July 2016. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2911451.2914689
2016
Journal Article
Personalized Influential Topic Search via Social Network Summarization
Li, Jianxin, Liu, Chengfei, Yu, Jeffrey Xu, Chen, Yi, Sellis, Timos and Culpepper, J. Shane (2016). Personalized Influential Topic Search via Social Network Summarization. IEEE Transactions on Knowledge and Data Engineering, 28 (7) 7434634, 1820-1834. doi: 10.1109/TKDE.2016.2542804
2016
Conference Publication
Does selective search benefit from WAND optimization?
Kim, Yubin, Callan, Jamie, Culpepper, J. Shane and Moffat, Alistair (2016). Does selective search benefit from WAND optimization?. 38th European Conference on IR Research, ECIR 2016, Padua, Italy, 20-23 March 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-30671-1_11
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
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. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/2838931.2838939
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
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. New York, NY, USA: 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. New York, NY, USA: 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. New York, NY, USA: 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?. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/2682862.2682876
2014
Conference Publication
TREC: Topic engineeRing ExerCise
Culpepper, J. Shane, Mizzaro, Stefano, Sanderson, Mark and Scholer, Falk (2014). TREC: Topic engineeRing ExerCise. 37th Annual International ACM Special Interest Group on Information Retrieval Conference on Research and Development in Information Retrieval, Gold Coast Australia, Jul 06-11, 2014. NEW YORK: 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
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. New York, NY, USA: 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. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/2600428.2609473
Funding
Current funding
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
-
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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