Dr Niloofer Shanavas

Dr. Niloofer Shanavas

School of Computer Science
Assistant Professor

Contact details

School of Computer Science
Main campus building, Dubai campus
University of Birmingham
Dubai International Academic City
P.O Box 341799
Dubai, UAE

Niloofer Shanavas is an Assistant Professor in Computer Science at the University of Birmingham (Dubai campus). Her research interests include artificial intelligence, machine learning, text mining, natural language processing and semantic computing. She has published several research papers in leading conferences and journals.

‪Niloofer Shanavas - ‪Google Scholar page


  • PhD in Computer Science, Ulster University, UK, 2020
  • M.Tech. in Computer Science and Engineering with Specialization in Information Systems, Rajagiri School of Engineering and Technology, India, 2014


  • BSc Computer Science
  • BSc Artificial Intelligence and Computer Science
  • MEng Computer Science and Software Engineering
  • MSc Artificial Intelligence and Computer Science
  • MSc Computer Science
  • MSc Data Science


Research interests:

  • artificial intelligence
  • machine learning
  • text mining
  • natural language processing
  • semantic computing


Recent publications


Shanavas, N, Wang, H, Lin, Z & Hawe, G 2019, Structure-Based Supervised Term Weighting and Regularization for Text Classification. https://doi.org/10.1007/978-3-030-23281-8_9

Shanavas, N, Wang, H, Lin, Z & Hawe, G 2016, Supervised graph-based term weighting scheme for effective text classification. https://doi.org/10.3233/978-1-61499-672-9-1710


Shanavas, N, Wang, H, Lin, Z & Hawe, G 2021, 'Knowledge-driven graph similarity for text classification', International Journal of Machine Learning and Cybernetics, vol. 12, pp. 1067–1081. https://doi.org/10.1007/s13042-020-01221-4

Shanavas, N, Wang, H, Lin, Z & Hawe, G 2020, 'Ontology-based enriched concept graphs for medical document classification', Information Sciences. https://doi.org/10.1016/j.ins.2020.03.006

Shanavas, N & Asokan, S 2014, 'Semantic approach utilizing data mining and case-based reasoning for it support service', International Research Journal of Engineering and Technology (IRJET).

Conference contribution

Shanavas, N, Wang, H, Lin, Z & Hawe, G 2018, Using graph-theoretic methods for text classification. in Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018).

Shanavas, N, Wang, H, Lin, Z & Hawe, G 2016, Centrality-Based Approach for Supervised Term Weighting. in IEEE International Conference on Data Mining Workshops, ICDMW. https://doi.org/10.1109/ICDMW.2016.0181

Shanavas, N & Asokan, S 2015, Ontology-based document mining system for IT support service. in Procedia Computer Science. https://doi.org/10.1016/j.procs.2015.02.028

View all publications in research portal