Razia Sulthana Abdul Kareem

Dr Razia Sulthana Abdul Kareem BTech, MEng, MBA, PhD

Senior Lecturer in Computer Science

Razia, an academician and active researcher, has over 11 years of experience in delivering computer science and interdisciplinary courses for undergraduate and postgraduate students. She received her Bachelor of Technology (Information Technology) in 2007, Master in Business Administration (Systems) in 2009, Master of Engineering (Computer Science Engineering) in 2011, Doctorate of Philosophy (Computer Science) in 2018.  In her years as a student, she won the gold medals in both her Bachelor’s and Master’s Degree. Her international experience includes teaching students in India and Dubai.

As a researcher, she has been working around the areas of Computational Intelligence, Artificial Intelligence, Machine Learning, Neural Computing. She is currently trying to interconnect her research intelligence with areas in edge computing and modelling technologies. She has published over 30 research articles in journals and conferences, published 3 patents, owns IBM AI explorer and mastery badge.

Responsibilities within the university


  • Algorithms and Data Structures
  • Advanced Algorithms and Data Structures

Project Supervisor

Student Mentor

Research / Scholarly interests

  • Computational Intelligence
  • Artificial Intelligence
  • Machine Learning
  • Neural Computing
  • Natural Language Processing

Recent publications

Gayathri, V.M., Supraja, P., Sulthana, A.R. and Mukunthan, P., 2022. Modified device key generation algorithm and A* algorithm to optimize the security measures based on trust value in device-to-device communications. Soft Computing26(23), pp.13081-13096.

Devi, J.S. and Sulthana, A.R., 2022. Video object segmentation guided refinement on foreground-background objects. Multimedia Tools and Applications, pp.1-17.

Pitchai, R., Supraja, P., Sulthana, A.R., Veeramakali, T. and Babu, C., 2022. MRI image analysis for cerebrum tumor detection and feature extraction using 2D U-ConvNet and SVM classification. Personal and Ubiquitous Computing, pp.1-10.

Sulthana, A.R. and Jaithunbi, A.K., 2022. Varying combination of feature extraction and modified support vector machines based prediction of myocardial infarction. Evolving Systems, pp.1-18.

Sulthana, R., Jaithunbi, A.K., Harikrishnan, H. and Varadarajan, V., 2022. Sentiment Analysis on Movie Reviews Dataset Using Support Vector Machines and Ensemble Learning. International Journal of Information Technology and Web Engineering (IJITWE)17(1), pp.1-23.

Razia, S.A. and Pranav, R., 2022. Predicting The Import And Export Of Commodities Using Support Vector Regression And Long Short-Term Prediction Models. International Journal of Computing and Digital Systems11(1), pp.635-648.

Parimala, G., Razia Sulthana, A. and Nithiya, S., 2022. Enhanced Energy Distributed Unequal Clustering Protocol for Wireless Ad Hoc Sensor Networks. In Proceedings of International Conference on Deep Learning, Computing and Intelligence (pp. 621-629). Springer, Singapore.

Book chapter

Sulthana, R. and Ramasamy, S., 2022. Applications of Ontology-Based Opinion Mining. In Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines (pp. 233-255). IGI Global.


An IOT based smart and efficient wireless power transmission system, Application no: 2020101733, Aust pat: 34/34, 2020.

Machine learning enriched Plug in and play book ontology app for online e-stores, Application no: 2020102542, Aust pat: Nov, 2020.