Skip to main content


The main focus of my academic career has been to establish excellence in research related to text mining, which is the key to gaining knowledge for significant interventions and decision making in the context of big data. This makes it indispensible to other disciplines. In particular, I have made contributions in areas of text classification, information extraction, term recognition and sentiment analysis (see infographics). Most often, my research has found its applications in health and life sciences, where it has led to deep interdisciplinary collaboration leading to impact beyond computer science. For example, I am a co-founder of HealTex, the UK Healthcare Text Analytics Network, a multi-disciplinary research network that aims to facilitate the use of healthcare free text (clinical notes, letters, social media post, literature) in research and clinical practice.

In 2004, I was awarded PhD from the University of Salford for my work on the use of machine learning for terminological processing in biomedical literature. My doctoral studies were funded by the Overseas Research Students Awards Scheme, an international postgraduate award for selected  foreign country nationals to undertake research in the UK. The award is among the most selective and prestigious awards offered to international students and scholarships are awarded on the basis of academic excellence and research potential. I moved on to complete postdoctoral research at the University of Manchester. I joined Cardiff University in 2010 as a lecturer and was promoted to senior lectureship and full chair in 2014 and 2016 respectively. In 2020, I was elected a Fellow of the Learned Society of Wales, the national academy for arts and sciences.



  • PhD, computer science, University of Salford, UK
  • MSc, computer science, University of Belgrade, Serbia
  • BSc, mathematics & computer science, University of Belgrade, Serbia

Work experience

  • Professor, computer science, Cardiff University
  • Senior lecturer, computer science, Cardiff University
  • Lecturer, computer science, Cardiff University
  • Postdoctoral research associate, computer science, University of Manchester
  • Research assistant, computer science, University of Salford
  • Lecturer, mathematics, University of Belgrade





















CMT207: Information modelling and database systems (postgraduate)

Areas of scientific interest and research include:

  • Text mining: information extraction, term recognition, named entity recognition, sentiment analysis, text classification, information retrieval, language resources
  • Knowledge representation: development, application & standardisation of ontologies
  • Machine learning: feature engineering, case-based reasoning, naive Bayesian learning, support vector machines, genetic algorithms, genetic programming
  • Information management: data modelling, data mining, relational and XML databases, user interface development
  • Application areas: healthcare, life sciences, social sciences & social media

Research supervision

  • Dr Maxim Filimonov (RSE, 2020-present): data science
  • Dr Jeffrey Morgan (RSE, 2018-present): data science
  • Daphné Chopard (PhD, 2018-present): text mining, deep learning, text normalisation
  • Anastazia Žunić (PhD, 2018-present): sentiment analysis, deep learning
  • Vigneshwaran Muralidaran (PhD, 2017-present): natural language processing, corpus linguistics
  • David Rogers (RA/PhD, 2012-present): text mining, sentiment analysis, social media


  • Dr Unai Lopez (RSE, 2018-2019): data science
  • Ian Harvey (RSE, 2018-2019): data science
  • Dr Steven Neale (PDRA, 2016-2019): natural language processing, corpus linguistics, crowdsourcing
  • David Owen (RA, 2016-2019): text mining, ontologies, health informatics
  • Dr Lowri Williams (PhD, 2013-2017): text mining, sentiment analysis, language resources
  • Dr Bathilde Ambroise (PhD, 2012-2016): text mining, genomics, bioinformatics
  • Dr Bo Zhao (PhD, 2011-2015): text mining, ontologies, health informatics
  • Dr Christian Bannister (PhD, 2011-2015): machine learning, health informatics, epidemiology
  • Dr Mark Greenwood (PhD, 2010-2014): text mining, health informatics, social media