Information retrieval & language models
Large language models, retrieval-augmented generation, search evaluation, and novelty and diversity in document retrieval.
Information retrieval · Machine learning · Digital health
ดร. ธีรพงศ์ ลีลานุภาพ
Senior Research Fellow
Queensland Digital Health Research Centre
School of Electrical Engineering and Computer Science
The University of Queensland, Australia

Research overview
My research brings together information retrieval, machine learning, and human-centred computing to help people find and use information effectively.
Large language models, retrieval-augmented generation, search evaluation, and novelty and diversity in document retrieval.
Learning from genomic, gut microbiome, medical imaging, and health record data for precision diagnosis and chronic disease management.
Multimodal interaction, user-oriented search, crowdsourcing, and the evaluation of search behaviour and effectiveness.
Recent work
H. Chen, S. Zhuang, Z. Yao, G Zuccon, and T. Leelanupab; In Proceedings of the 49th ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, Melbourne, Australia
C. Yu, H. Li, G. Zuccon, J. Mackenzie, and T. Leelanupab; In Proceedings of the 49th ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, Melbourne, Australia
H. Chen, G. Zuccon, and T. Leelanupab; In Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP ‘25, Xi’an, China
Research in practice
An open platform for accelerating systematic reviews with large language models.
Screening prioritisationA screening prioritisation tool for systematic reviews based on dense retrieval.
Dense retrievalSelecting the best dense retriever for a custom collection.
Text & data miningExperimental repositories for financial latent Dirichlet allocation.
Working together
I welcome enquiries from prospective Ph.D. and M.Sc. students interested in information retrieval, machine learning in medical data, and human–computer interaction. Get in touch to discuss topics of mutual interest and possible funding opportunities.
Discuss a research idea ↗Current Research Advisees
Ph.D. student
Master’s research students
Past Research Advisees
Ph.D. student
Master’s research students
Mr. Ake Tangsomboon
Mr. Hannarin Kruajirayu
Background
Dr. Teerapong Leelanupab has been a Senior Research Fellow at the University of Queensland (UQ), School of Electrical Engineering and Computer Science (EECS) since August 7, 2023. I am currently a course instructor of Machine Learning in Business.
I have served on the program committee of SIGIR 2011-24, and served on the program committee of AIRS 2012 and 2015, and CIKM 2013-15, ECIT-CON 2013 and NCIT 2014-15. I was also a publication chair and local organizer of ICITEE 2015. My research interest spans many aspects of Information Retrieval, including theory, experimentation, evaluation and application. I have actively participated in TREC tracks (e.g., web diversity track and crowdsourcing track).
My current research focuses on: (i) Large Language Models for Information Retrieval (e.g., Retrieval-Augmented Generation - RAG), (ii) machine learning in health data (e.g., human host gene and gut microbiome data for precision diagnosis, and myocardial perfusion imaging/scan, and medical records and focus-group health-related surveys for chronic and non-communicable disease management plan), (iii) multimodal interaction for interactive information retrieval, (iv) user-oriented search paradigms and effectiveness evaluation, and (v) novelty and diversity-based document retrieval. Previously I also did some research on experimental design and evaluation of user search behavior through crowdsourcing interactions, as well as content-based image retrieval.
I am keen on accepting Ph.D. and M.Sc. students in the research area of Information Retrieval, Machine Learning in Medical Data, and Human Computer Interactions. Feel free to contact me about this to discuss about possible research topics of mutual interests and possible funding opportunities.
I was an associate professor at Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Thailand since August 8 2019.
I was a Co-Founder and active member of the Intelligence Lab for Cognitive and Business Analytics (IcBiz)
I previously taught many courses in Computer Science and Information Technology. These courses, for example, are Information Retrieval and Text Mining, Data Science for Business (Python in Machine Learning with Business-Oriented Practice), Software Engineering, and also contribute to several modules in Information Systems Development.
Around Data Science principles, my areas of expertise and interest are in:
Cognitive and Human-Centered Computing to Develop Adaptive, Contextual and Interactive Systems
Information Retrieval and Personalization
Text Analytics and Mining
Machine Learning
Information Visualization and Storytelling with Data
Data-Driven Strategic Planning and Decision Making for Business.
My expertise includes a comfortable use of multiple related practical tools that I have been working on in both academic and professional projects. For example, Lemur Indri, Terrier Search Toolkit, Python NLTK and SciKit, TensorFlow, Keras, Kubeflow, R-language, Weka, Rapid Miner, and D3 library.
I am also a common invited lecturer and senior project/thesis referee at:
Faculty of Information and Communication Technology, Silpakorn University, Thailand.
Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand.
There, I have been teaching several courses from 2013 to present in Web Programming and Web Acceptance Testing using PHP, Laravel, Robot Framework, Javascript and jQuery.
On July 25 2014, I was promoted to be an assistant professor at Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang,
Since May 2013, I have been a principal investigator of two major national projects, funded by National Research Council of Thailand - NRCT and National Science and Technology Development Agency - NSTDA.
I was a Ph.D. student and member in the Information Retrieval Research group with the Department of Computing Science at the University of Glasgow, under supervision of Prof. Joemon M. Jose and Prof. Keith
Van Rijsbergen. I was granted a full scholarship for my Master’s and Doctoral degrees from the Ministry of Science, Royal Thai Government.
I obtained my Master’s degree with outstanding performance in Software Systems Engineering from University College London (UCL).