Brief Bio
Dr Ahsan Saadat is an experienced teacher with over 10 years teaching and research experience in Sydney. He completed his PhD from Macquarie University Sydney in 2017 and since then he is working with reputed higher education providers in Sydney. He has extensive experience in teaching postgraduate and undergraduate students across Australian and International academic institutions. In his teaching he covers a diverse range of subjects in the fields of programming, networking, system design and AI. Originally having a research background in mobile networks, he has expanded his area of expertise in various applications of AI and is focussed on improving ML algorithms. He is a passionate teacher who loves to connect with his students, having a vision to bring positive changes in their lives.
Publications
S. K. R. Moosavi, M. H. Zafar, A. Saadat, et al., "Transductive Transfer Learning-Assisted Hybrid DL Model for Accurate State of Charge Estimation of Li-ion Batteries in EVs “, in IEEE Transactions on Intelligent Transportation Systems 2024. S. K. R. Moosavi, A. Saadat, et al., "Feature selection based on dataset variance optimization using Hybrid Sine Cosine – Firehawk Algorithm “, in Future Generation Computer Systems 2024. M. A. Nawshad, A. Saadat, et al., "Boosting facial recognition capability for faces wearing masks using attention augmented residual model with quadruplet loss“, in Machine Vision & Applications 2023