RESEARCH INTERESTS 

• Machine Learning

• Knowledge Graph Embedding

• Graph Neural Network

• Large Language Models

SELECTED PUBLICATIONS 

• Md Mostafizur Rahman, Daisuke Kikuta, Satyen Abrol, Yu Hirate, Toyotaro Suzumura, Pablo Loyola, Takuma Ebisu, Manoj Kondapaka. “Exploring 360-Degree View of Customers for Lookalike Modeling”. In the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023. 

• Md Mostafizur Rahman, and Atsuhiro Takasu. "Exploiting knowledge graph and text for ranking entity types." ACM SIGAPP Applied Computing Review. 2020 Sep 1;20(3):35-46.

• Md Mostafizur Rahman, and Atsuhiro Takasu. “Entity Type Ranking based on Entities' Characteristics.” In the 34th Annual Conference of the Japanese Society for Artificial Intelligence, 2020. 

• Md Mostafizur Rahman, and Atsuhiro Takasu. “Leveraging Entity-Type Properties in the Relational Context for Knowledge Graph Embedding.” IEICE Transactions on Information and Systems, Vol. E103-D, No. 5, pp. 958 - 968, 2020.

• Md Mostafizur Rahman, Atsuhiro Takasu, and Gianluca Demartini. “Representation Learning for Entity Type Ranking”. In the 35th ACM/SIGAPP Symposium On Applied Computing (SAC 2020). Brno, Czech Republic, pp. 2049-2056, March 2020.  

• Md Mostafizur Rahman, and Atsuhiro Takasu. "Knowledge Graph Embedding via Entities’ Type Mapping Matrix". In the 25th International Conference on Neural Information Processing (ICONIP), pp. 114-125. Springer, Cham, 2018. (PDF: SPRINGER)

• Md Mostafizur Rahman, and Atsuhiro Takasu. "Entity oriented action recommendations for actionable knowledge graph generation". In the Proceedings of the 17th International Conference on Web Intelligence pp. Leipzig, Germany pp. 686-693. ACM, 2017.  (PDF:ACM link)

• Md Mostafizur Rahman, and Atsuhiro Takasu. "TLAB at the NTCIR-13 AKG Task.” In Proceedings of the NTCIR-13 Conference 2017. (PDF:NTCIR-13)

• Md Mostafizur Rahman, Atsuhiro Takasu, Hafiz Md. Hasan Babu."A Cascading Wavelet-Feed Forward Neural Network Approach for Forecasting Traffic Flow". In the EDBT/ICDT 2014 Workshop on Mining Urban Data (MUD 2014), pp.371 - 372, 2014. (PDF: CEUR)

PATENTS

• Yu Hirate, Md Mostafizur Rahman, Takuma Ebisu, Manoj Kondapaka, Daisuke Kikuta, Satyen Abrol, and Atul Singh. " (Social Graph) Customer-DNA Inferred Attribute Prediction: Information Processing Apparatus, Information Processing Method, and Model Construction Method.” U.S. Patent Application No. 18/124,802.

• Yu Hirate, Md Mostafizur Rahman, Takuma Ebisu, Manoj Kondapaka, Daisuke Kikuta, and Satyen Abrol.”(Social Graph) Genetic Disease Prediction: Information Processing Apparatus, Information Processing Method, and Model.” Construction Method U.S. Patent Application No. 18/127,913.

• Yu Hirate, Md Mostafizur Rahman, Takuma Ebisu, Manoj Kondapaka, Daisuke Kikuta, Satyen Abrol, and Maxence Lemercier. “(Social Graph) AIris Family Target Prospecting: Information Processing Apparatus, Information Processing Method, and Model Construction Method."  U.S. Patent Application No. 18/127,890.

• Yu Hirate, Md Mostafizur Rahman, Takuma Ebisu, Manoj Kondapaka, Daisuke Kikuta, Satyen Abrol, and Maxence Lemercier. “(Social Graph) Knowledge Graph Construction: Information Processing Apparatus, Information Processing Method, and Model Construction Method.” U.S. Patent Application No. 18/191,479.

• Yu Hirate, Md Mostafizur Rahman, Takuma Ebisu, Manoj Kondapaka, Daisuke Kikuta, Satyen Abrol, and Maxence Lemercier. “(Social Graph) Knowledge Graph and Graph Neural Network based AIris TP (Target Prospecting): Information Processing Apparatus, Information Processing Method, and Model Construction Method." U.S. Patent Application No. 18/191,502.

GRANTS

• Long-Stay Study Abroad Program Funding of SOKENDAI (2019)

• Japanese Government (Monobukagakusho/MEXT) Scholarship (2015)

• Erasmus Mundus Masters Scholarship - IT4BI (2015)

• NII (National Institute of Informatics) International Internship Scholarship (2013)

• Board Scholarship (2004 and 2006)