Summary
Tanvir Alam is a lecturer in the Department of Computer Science and Engineering at the University of Dhaka with nine years of research and teaching experience focused on knowledge discovery, machine learning, and database systems. He earned both his BSc and MSc with top grades from the University of Dhaka and has co-authored papers in venues such as ACM TKDD, PAKDD, and ICDM workshops, accruing over 180 citations. His work emphasizes graph-structured data and practical applications—ranging from COVID-19 rumor analysis to knowledge-graph and Bayesian approaches for false-fact detection—demonstrating applied interdisciplinary collaboration with institutions like Brown University and the Australian Academy of Science. Actively pursuing PhD opportunities, he combines rigorous academic training with hands-on project experience and a track record of translating complex research into impactful, real-world analyses.
9 years of coding experience
2 years of employment as a software developer
Higher Secondary School Certificate, Science, 4.75/5.00, Higher Secondary School Certificate, Science, 4.75/5.00 at Udayan Higher Secondary School, Dhaka
Master of Science - MS, Computer Science and Engineering, 4.00, Master of Science - MS, Computer Science and Engineering, 4.00 at University of Dhaka