About Me

I am currently a Postdoctoral Research Officer in IELab within the School of Electrical Engineering and Computer Science at the University of Queensland, Australia. During my Ph.D, I work closely with Prof. Guido Zuccon, A/Prof. Bevan Koopman, and Dr. Ahmed Mourad (Read My Thesis). Prior to Ph.D, I received my Bachelor of Science degree in Computer Science at the University of Minnesota Twin-Cities in United States, 2016.

My research focus at the intersection of Information Retrieval (IR), Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) applications, where I utilise different relevance feedback signals to empower the information retrieval system. My recent work seeks to address the gap between relevance feedback, deep language models, and information retrieval through different approaches that helps to improve the IR system effectiveness with minimal efficiency cost.

I publish at premier academic venues in IR (e.g. SIGIR, ECIR, WSDM, WWW, TOIS, IJDL). During my Ph.D, my work was supported by Grains Research and Development Corporation, through the AgAsk Project.

News

• 2026-02-25
  📃 My thesis “Advanced Query Representation and Feedback Methods for Neural Information Retrieval” is now public at UQ eSpace, read it here.

• 2026-01-15
  🎉 I’ve successfully defended my thesis! Huge thanks to my external examiners Prof. Iadh Ounis and Prof. Jamie Callan, as well as my Chair Dr. Joel Mackenzie. Also huge thanks to my supervisors Prof. Guido, A/Prof. Bevan, Dr. Ahmed, and everyone along my journey! Now a new chapter has started!

• 2025-12-17
  🎉 Our work Evaluator - Rapid, Agile Development and Evaluation of Retrieval Augmented Generation Systems Without Labels has been accetped to ECIR 2026!

• 2025-10-01
  🎉 Officially started to work as a Postdoctoral Research Officer at UQ! Check out my profile here.

• 2025-07-30
  🎉 Finally submitted my PhD Thesis! Pending review and starting to work as a PostDoc in IELab at The University of Queensland.

• 2025-02-18
  🎉 We have one work released on arXiv, check it out here: Pseudo-Relevance Feedback Can Improve Zero-Shot LLM-Based Dense Retrieval!

• 2024-11-03
  🎉 We have one work released on arXiv, check it out here: LLM-VPRF: Large Language Model Based Vector Pseudo Relevance Feedback!

• 2024-10-07
  ✈️ Back at Brisbane with full research power ON.

• 2024-01-24
  🎉 Our work TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval is now on arXiv preprint!

Travel

• 2024-12-09 – 2024-12-12
  ✈️ Melbourne for SIGIR AP 2024 Satellite

• 2023-02-27 – 2023-03-03
  ✈️ Singapore for WSDM 2023

Recent Publications

Datasets:

• Agvaluate

Service

• Serving as the PC Member for Short Paper Track at WSDM 2026

• Serving as the PC Member for Short Paper Track at SIGIR 2025

• Serving as Reviewer for ACM Transactions on Information Systems (TOIS) since 2024.

• Serving as the PC Member for Resource and Reproducibility Track at ECIR 2023/2024

• Serving as the PC Member for Reproducibility Track at SIGIR 2022/2023

• Serving as the PC Member for Resource Track at SIGIR 2022/2023

• Serving as the Proceeding Chair for CIKM 2021