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Professor Shane Culpepper
Professor

Shane Culpepper

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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
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

115 works between 1995 and 2024

101 - 115 of 115 works

2012

Conference Publication

Efficient indexing algorithms for approximate pattern matching in text

Petri, Matthias and Culpepper, J. Shane (2012). Efficient indexing algorithms for approximate pattern matching in text. doi: 10.1145/2407085.2407087

Efficient indexing algorithms for approximate pattern matching in text

2012

Conference Publication

Efficient in-memory top-k document retrieval

Culpepper, J. Shane, Petri, Matthias and Scholer, Falk (2012). Efficient in-memory top-k document retrieval. doi: 10.1145/2348283.2348317

Efficient in-memory top-k document retrieval

2012

Journal Article

Revisiting bounded context block-sorting transformations

Culpepper, J.Shane, Petri, Matthias and Puglisi, Simon J. (2012). Revisiting bounded context block-sorting transformations. Software - Practice and Experience, 42 (8), 1037-1054. doi: 10.1002/spe.1112

Revisiting bounded context block-sorting transformations

2011

Conference Publication

RMIT at TREC 2011 microblog track

Petri, Matthias, Shane Culpepper, J. and Scholer, Falk (2011). RMIT at TREC 2011 microblog track.

RMIT at TREC 2011 microblog track

2011

Journal Article

Language independent ranked retrieval with NeWT

Culpepper, J. Shane, Yasukawa, Michiko and Scholer, Falk (2011). Language independent ranked retrieval with NeWT. ADCS 2011 - Proceedings of the Sixteenth Australasian Document Computing Symposium, 18-25.

Language independent ranked retrieval with NeWT

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

Backwards search in context bound text transformations

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. doi: 10.1145/1877766.1877767

Efficient set intersection for inverted indexing

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

Top-k ranked document search in general text databases

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

Including summaries in system evaluation

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

Entropy of the retina template

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.

Hybrid bitvector index compression

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

Compact set representation for information retrieval

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

Phrase-based pattern matching in compressed text

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

Enhanced byte codes with restricted prefix properties

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

Efficient Syntheses of the Marine Alkaloiss Makaluvamine D and Discorhabdnn C: The 4,6,7-Trimethoxyindole Approach

Supervision

Availability

Professor Shane Culpepper is:
Available for supervision

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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

  • Master Philosophy

    Search and Recommendation using Large Language Models

    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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