Md Zia Ullah
md zia ullah

Dr Md Zia Ullah



Md Zia Ullah is a Lecturer in the School of Computing, Engineering & Built Environments at Edinburgh Napier University. He received his PhD degrees in the Department of Computer Science and Engineering from the Toyohashi University of Technology, Japan in 2016. His PhD thesis focused on Bipartite Graph based Ranking Models and its Application to Information Retrieval and Bioinformatics.

After his PhD, he was appointed as a Post-doctoral researcher at Universite Toulouse - Paul Sabatier, CNRS, and Universite de Toulouse - Jean Jaures, Toulouse, France from 2017 to 2022 where he worked in Information retrieval, Natural language processing, and Applied machine learning (Deep learning). During his Post-doc, he also worked on the EU H2020 Project PREVISION on Machine learning applications and lectured Data analytics at the Université Toulouse I Capitole, France.

He also received his B.Sc. (Hons.) degree from the University of Chittagong, Bangladesh in 2010 and his M.Eng. degree from the Toyohashi University of Technology in 2013.


His research interests lie primarily in Information retrieval (IR), Natural language Processing (NLP), and Applied machine learning (ML). His research has focused on Adaptive information retrieval, Query performance prediction, Search Intent mining and diversification, Fact-checking, Statistical analysis of system parameters, and Deep learning-based histopathological image recognition.


He has co-patented an adaptive IR technique and published his research outcomes in the international journals and conferences, including ACM TOIS, ACM TIST, ACM SIGIR, ACM CIKM, and IEEE EMBS. He actively participated in evaluation forums such as TREC, CLEF, and NTCIR for obtaining the benchmark datasets, evaluating his research ideas, and comparing with the related methods.


He is actively involved as a Program committee member for international conferences: SIGIR (2018~), ECIR (2019~), CIKM (2019~), WSDM (2020~), SIGKDD (2020~), CLEF (2017~).


* False webs: Network to address the misinformation pandemic (2023 -- 2025), Co-PI

PAST PROJECTS (Involved as a researcher)

* PREVISION (EU Horizon 2020: 2019 -- 2021, 28 Partners, 9.4M)
* FabSpace 2.0 (EU Horizon 2020: 2015 --2018, 7 Partners, 3.4M)