Rate My Professor Mohammed Kaosar

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.