About me

I’m Zia ullah, working as a Post-doctoral researcher under the supervision of the Professor Josiane Mothe at Institut de Recherche en Informatique de Toulouse (IRIT).

I achieved my Ph.D. under the supversion of the Professor Masaki Aono at the Department of Computer Science and Engineering from the Toyohashi University of Technology (TUT), Japan in 2016. I was a member of KDE Laboratory from 2011 to 2016. My PhD thesis title was “Bipartite Graph-based Ranking Methods for Subtopic Mining and Genetic Disease Prediction.”

I’m interested in theoretical and practical information retrieval (IR) problems, as well as applied machine learning for large-scale predictive problems. My research focuses on Adaptive Information Retrieval (IR), Query Performance Prediction (QPP), Check-worthy claim prediciton (Fake-news), Intent Mining and Result Diversification, Pseudo Relevance Feedback, Bipartite Graph for modelling and ranking, Representation learning, and Natural Language Processing (NLP).