Summary
Sk. Mehedi is a Ph.D. candidate in Computer Science at QUT and a sessional academic with nine years of combined research, teaching, and industry experience spanning Australia, Japan, and Bangladesh. He has published in top venues including IEEE Transactions and NeurIPS, and recently earned QUT’s SAGE HDR Student Publication Prize for research excellence. His work bridges machine learning, cybersecurity, blockchain, and IoT, with practical experience delivering real-time ML solutions at Fujitsu and building privacy-preserving genomic identification models for Bangladesh’s ICT Division. As a lecturer he has designed courses and mentored students to peer-reviewed publications, and he convened a competitive programming club that boosted student placements in regional contests. Active in privacy research communities like UNSW’s Privacy Summer School and a long-standing IEEE member, he combines rigorous scholarship with hands-on system development and student-focused pedagogy.
9 years of coding experience
Doctor of Philosophy (Ph.D) Computer Science, Doctor of Philosophy (Ph.D) Computer Science at QUT (Queensland University of Technology)
Higher Secondary Certificate Examination Science, Higher Secondary Certificate Examination Science at Govt. Khanbahadur Ahsanullah College
Secondary School Certificate Examination Science, Secondary School Certificate Examination Science at Moutola Secondary School
Master of Science in Engineering Information and Communication Technology, Master of Science in Engineering Information and Communication Technology at Mawlana Bhashani Science Technology University
English, Bangla, Japanese