Research
Research Interests
Big Data and Database Systems
Spatial Databases, GIS
Spatial and Spatio-temporal Data Analytics
Machine Learning for Spatio-temporal Data Analysis
Research Talks
"The Future of Big Data Analytics", DUET Career & Research Club - DUET CRC, Bangladesh, January 2021.
"Big Data and Research Perspective", DUET, Gazipur-1707, Bangladesh, January 2019 [ Slides ]
Recent Publications | Google Scholar
Md Mahbub Alam, Gabriel Spadon, Mohammad Etemad, Luis Torgo, and Evangelos Milios, "Enhancing Short-term Vessel Trajectory Prediction with Clustering for Heterogeneous and Multi-modal Movement Patterns", Ocean Engineering, 2024 [PDF]
Md Mahbub Alam, and Luis Torgo, "A Clustering-based Approach for Predicting the Future Location of a Vessel", Proceedings of the 35th Canadian Conference on Artificial Intelligence, 2022 [PDF]
Md Mahbub Alam, Luis Torgo, and Albert Bifet, "A Survey on Spatio-temporal Data Analytics Systems", ACM Computing Survey, 2021 [PDF]
Puya Memarzia, Maria Patrou, Md Mahbub Alam, Suprio Ray, Virendra C. Bhavsar, and Kenneth B. Kent, "Toward Efficient Processing of Spatio-temporal Workloads in a Distributed In-memory System", The 20th IEEE International Conference on Mobile Data Management (MDM'19), Hong Kong, 2019 (Acceptance rate 29%) [PDF]
Md Mahbub Alam, Suprio Ray, Virendra C. Bhavsar, "A Performance Study of Big Spatial Data Systems", The 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial 2018), Seattle, WA, USA, 2018 [PDF]
Maria Patrou, Md Mahbub Alam, Puya Memarzia, Suprio Ray, Virendra C. Bhavsar, Kenneth B. Kent, and Gerhard W. Dueck, "DISTIL: A Distributed In-Memory Data Processing System for Location-Based Services", The 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, 2018 [PDF]