Md Motaher Hossain Bhuiyan is a Master’s student in Artificial Intelligence at Stockholm University, Sweden. His academic background includes degrees in Computer Science and Engineering, with experience in networking, system administration, and IT support. His master’s thesis focused on route classification of LNG-powered ferries using time-series clustering techniques and AIS data to improve operational efficiency and sustainability in maritime logistics. He has also worked in roles related to IT infrastructure, network administration, and technical support.
His research interests include artificial intelligence, machine learning, time-series analysis, maritime data analytics, intelligent transportation systems, and data-driven optimization for sustainability.
An End-to-End Explainable Fault Prediction Pipeline for Embedded Test Systems (Jul 2026) Md Motaher Hossain Bhuiyan, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum 28th International Conference on Computer and Information Technology (ICCIT25)