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Professor Shane Culpepper
Professor

Shane Culpepper

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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

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

121 works between 1995 and 2025

41 - 60 of 121 works

2019

Conference Publication

Compressing inverted indexes with recursive graph bisection: A reproducibility study

Mackenzie, Joel, Mallia, Antonio, Petri, Matthias, Culpepper, J. Shane and Suel, Torsten (2019). Compressing inverted indexes with recursive graph bisection: A reproducibility study. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, 14-18 April 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-15712-8_22

Compressing inverted indexes with recursive graph bisection: A reproducibility study

2019

Journal Article

Top-k trajectories with the best view

Tripto, Nafis Irtiza, Nahar, Mahjabin, Ali, Mohammed Eunus, Choudhury, Farhana Murtaza, Culpepper, J. Shane and Sellis, Timos (2019). Top-k trajectories with the best view. Geoinformatica, 23 (4), 621-661. doi: 10.1007/s10707-019-00343-4

Top-k trajectories with the best view

2019

Conference Publication

On topic difficulty in IR evaluation: the effect of systems, corpora, and system components

Zampieri, Fabio, Roitero, Kevin, Culpepper, J. Shane, Kurland, Oren and Mizzaro, Stefano (2019). On topic difficulty in IR evaluation: the effect of systems, corpora, and system components. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 21-25 July 2019. New York, NY, United States: ACM. doi: 10.1145/3331184.3331279

On topic difficulty in IR evaluation: the effect of systems, corpora, and system components

2019

Conference Publication

Finding temporal influential users over evolving social networks

Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane and Zhang, Bang (2019). Finding temporal influential users over evolving social networks. IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, 8 - 11 April 2019. Washington, DC, United States: I E E E Computer Society. doi: 10.1109/icde.2019.00043

Finding temporal influential users over evolving social networks

2019

Conference Publication

Taking Risks with Confidence

Benham, Rodger, Carterette, Ben, Moffat, Alistair and Culpepper, J. Shane (2019). Taking Risks with Confidence. 24th Australasian Document Computing Symposium (ADCS), Sydney, NSW Australia, 5-6 December 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3372124.3372125

Taking Risks with Confidence

2019

Conference Publication

Joint optimization of cascade ranking models

Gallagher, Luke, Chen, Ruey-Cheng, Blanco, Roi and Culpepper, J. Shane (2019). Joint optimization of cascade ranking models. WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC, Australia, 11 - 15 February 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3289600.3290986

Joint optimization of cascade ranking models

2018

Conference Publication

Improving Search Effectiveness with Field-based Relevance Modeling

Liu, Binsheng, Lu, Xiaolu, Kurland, Oren and Culpepper, J. Shane (2018). Improving Search Effectiveness with Field-based Relevance Modeling. 23rd Australasian Document Computing Symposium (ADCS), Dunedin, New Zealand, 11-12 December 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3291992.3292005

Improving Search Effectiveness with Field-based Relevance Modeling

2018

Conference Publication

The Potential of Learned Index Structures for Index Compression

Oosterhuis, Harrie, Culpepper, J. Shane and de Rijke, Maarten (2018). The Potential of Learned Index Structures for Index Compression. 23rd Australasian Document Computing Symposium (ADCS), Dunedin, New Zealand, 11-12 December 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3291992.3291993

The Potential of Learned Index Structures for Index Compression

2018

Conference Publication

Revisiting spam filtering in web search

Gallagher, Luke, Mackenzie, Joel and Culpepper, J. Shane (2018). Revisiting spam filtering in web search. 23rd Australasian Document Computing Symposium (ADCS), Dunedin, New Zealand, 11-12 December 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3291992.3291999

Revisiting spam filtering in web search

2018

Journal Article

The Maximum Trajectory Coverage Query in Spatial Databases

Ali, Mohammed Eunus, Eusuf, Shadman Saqib, Abdullah, Kaysar, Choudhury, Farhana M., Culpepper, J. Shane and Sellis, Timos (2018). The Maximum Trajectory Coverage Query in Spatial Databases. Proceedings of the VLDB Endowment, 12 (3), 197-209. doi: 10.14778/3291264.3291266

The Maximum Trajectory Coverage Query in Spatial Databases

2018

Conference Publication

Presentation ordering eects on assessor agreement

Damessie, Tadele T., Kim, Jaewon, Shane Culpepper, J. and Scholer, Falk (2018). Presentation ordering eects on assessor agreement. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3269206.3271750

Presentation ordering eects on assessor agreement

2018

Journal Article

Finding the optimal location and keywords in obstructed and unobstructed space

Choudhury, Farhana Murtaza, Culpepper, J. Shane, Bao, Zhifeng and Sellis, Timos (2018). Finding the optimal location and keywords in obstructed and unobstructed space. The VLDB Journal, 27 (4), 445-470. doi: 10.1007/s00778-018-0504-y

Finding the optimal location and keywords in obstructed and unobstructed space

2018

Conference Publication

Fusion in Information Retrieval

Kurland, Oren and Culpepper, J. Shane (2018). Fusion in Information Retrieval. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Ann Arbor, MI United States, 8-12 July 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3209978.3210186

Fusion in Information Retrieval

2018

Conference Publication

Neural Query Performance Prediction using Weak Supervision from Multiple Signals

Zamani, Hamed, Croft, W. Bruce and Culpepper, J. Shane (2018). Neural Query Performance Prediction using Weak Supervision from Multiple Signals. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Ann Arbor, MI United States, 8-12 July 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3209978.3210041

Neural Query Performance Prediction using Weak Supervision from Multiple Signals

2018

Conference Publication

Geo-social Influence Spanning Maximization

Li, Jianxin, Sellis, Timos, Culpepper, J. Shane, He, Zhenying, Liu, Chengfei and Wang, Junhu (2018). Geo-social Influence Spanning Maximization. 34th IEEE International Conference on Data Engineering Workshops (ICDEW), Paris, France, 16-19 April 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2018.00245

Geo-social Influence Spanning Maximization

2018

Journal Article

Reverse $k$ Nearest Neighbor Search over Trajectories

Wang, Sheng, Bao, Zhifeng, Culpepper, J. Shane, Sellis, Timos and Cong, Gao (2018). Reverse $k$ Nearest Neighbor Search over Trajectories. IEEE Transactions on Knowledge and Data Engineering, 30 (4), 757-771. doi: 10.1109/tkde.2017.2776268

Reverse $k$ Nearest Neighbor Search over Trajectories

2018

Conference Publication

On the cost of negation for dynamic pruning

Mackenzie, Joel, Macdonald, Craig, Scholer, Falk and Culpepper, J. Shane (2018). On the cost of negation for dynamic pruning. 40th European Conference on Information Retrieval Research (ECIR), Grenoble, France, 26-29 March 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-76941-7_42

On the cost of negation for dynamic pruning

2018

Conference Publication

Query driven algorithm selection in early stage retrieval

Mackenzie, Joel, Culpepper, J. Shane, Blanco, Roi, Crane, Matt, Clarke, Charles L. A. and Lin, Jimmy (2018). Query driven algorithm selection in early stage retrieval. 11th ACM International Conference on Web Search and Data Mining, Marina Del Rey, CA United States, 5-9 February 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3159652.3159676

Query driven algorithm selection in early stage retrieval

2018

Conference Publication

MaxBRkNN Queries for Streaming Geo-Data

Luo, Hui, Choudhury, Farhana M., Bao, Zhifeng, Culpepper, J. Shane and Zhang, Bang (2018). MaxBRkNN Queries for Streaming Geo-Data. 23rd International Conference on Database Systems for Advanced Applications (DASFAA), Gold Coast, QLD Australia, 21-24 May 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-91452-7_42

MaxBRkNN Queries for Streaming Geo-Data

2018

Conference Publication

Dynamic Shard Cutoff Prediction for Selective Search

Mohammad, Hafeezul Rahman, Xu, Keyang, Callan, Jamie and Culpepper, J. Shane (2018). Dynamic Shard Cutoff Prediction for Selective Search. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Ann Arbor, MI United States, 8-12 July 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3209978.3210005

Dynamic Shard Cutoff Prediction for Selective Search

Funding

Current funding

  • 2024 - 2026
    Scaling Disk-Resident Learned Indexes for Database Systems
    ARC Discovery Projects
    Open grant
  • 2024 - 2026
    Scaling Disk-Resident Learned Indexes For Database Systems (ARC Discovery Project Administered by RMIT)
    Royal Melbourne Institute of Technology University
    Open grant
  • 2023 - 2025
    Advancing Analytical Query Processing with Urban Trajectory Data
    ARC Discovery Projects
    Open grant
  • 2023 - 2025
    Advancing Analytical Query Processing with Urban Trajectory Data (ARC Discovery Project Administered by RMIT)
    Royal Melbourne Institute of Technology University
    Open grant

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

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au