Rashidul Mubasher is a distinguished educator and researcher with over 10 years of experience in the IT industry and academia. He has a proven track record of success in teaching and supporting students from diverse backgrounds, having held various management and teaching positions in Australia and Bangladesh.
Beyond his teaching and research responsibilities, Rashidul has played a crucial role in the accreditation processes for several institutions. He has been instrumental in securing TEQSA and ACS accreditations for Kent Institute Australia, ensuring these institutions meet the rigorous standards required for accreditation and enhancing the quality of education they provide.
Rashidul's contributions also extend to curriculum development, where he has been involved in designing and refining various IT units to align with the latest industry standards and technological advancements. His commitment to curriculum development reflects his dedication to providing students with a robust and relevant education that equips them with the skills needed to thrive in the rapidly evolving tech industry.

Thapa, A., Alsadoon, A., Nair, S.G., Siddiqi, M., Mubasher, R., Ampani, R., Varghese, B. and Prasad, P.W.C., 2021, December. Taxonomy for Malware Detection to Enhance the Security of Smart Devices using AI. In 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 817-822). IEEE.

Gautam, U.K., Rashid, T.A., Nizamani, Q.U.A., Mubasher, R., Costadopoulos, N., Salah, R.M. and Alrubaie, A., 2022. Deep Learning Algorithm for Predicting Drug Synergy Against Cancer: Data, Drug Feature Extraction, Prediction and View (DDPV) Taxonomy. In The International Conference on Innovations in Computing Research (pp. 261-269). Springer, Cham. “Antecedents of electronic word of mouth communication (eWOM) on consumer decision through social networking sites (SNS) in Australia” – awarded at the ‘Bursary Award 2019’ research grant competition of Kent Institute Australia, 2019.