Rate My Professor Mohammed Kaosar

Dr. Mohammed Kaosar serves as a Senior Lecturer in the School of Information Technology at Murdoch University, Australia. His primary research specializations encompass cybersecurity and privacy, cyber-physical systems, and the Internet of Things. Kaosar has authored numerous publications in prestigious venues such as IEEE Transactions on Knowledge and Data Engineering, Data & Knowledge Engineering, IEEE International Conference on Data Engineering, Computer Communications, and ACM SIGCOMM. Notable contributions include advancements in privacy-preserving data processing and secure computation techniques. He has supervised postgraduate students, mentored junior academics, and participated in national and international research projects and grants. As a Senior Member of the IEEE, he is also affiliated with the Australian Computer Society, European Alliance for Innovation, The Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, and others. Dr. Kaosar actively contributes to the field through conference organization and editorial responsibilities for journals.

Kaosar's scholarly impact is evidenced by over 1,195 citations on Google Scholar. His highly cited works include 'Privacy-preserving and content-protecting location based queries' (IEEE Transactions on Knowledge and Data Engineering, 2013, 215 citations, with R. Paulet, X. Yi, E. Bertino); 'Single-database private information retrieval from fully homomorphic encryption' (IEEE Transactions on Knowledge and Data Engineering, 2012, 145 citations, with X. Yi, R. Paulet, E. Bertino); 'Effectiveness of federated learning and CNN ensemble architectures for identifying brain tumors using MRI images' (Neural Processing Letters, 2023, 134 citations, with M. Islam, M.T. Reza, M.Z. Parvez); 'Social media bot detection with deep learning methods: a systematic review' (Neural Computing and Applications, 2023, 93 citations, with K. Hayawi, S. Saha, M.M. Masud, S.S. Mathew); and 'Stock price prediction: comparison of different moving average techniques using deep learning model' (Neural Computing and Applications, 2024, 88 citations, with M.M. Billah, A. Sultana, F. Bhuiyan). Prior to his appointment at Murdoch University since 2020, he held academic positions at RMIT University, Victoria University, Effat University, and Charles Sturt University, along with industry experience as a software engineer in Australia and Bangladesh.