Current Research Project
Working on solving and optmizing the problem of Relational Deep Learning where we represent a Relational Database as a Heterogenous Graph and apply advanced GraphML techniques to learn robust embeddings that can be used for different downstream tasks.
Publications After Starting My PhD
- A Vision for SQL-Based Relational Deep Learning
Accepted at the 3rd International Workshop on Tabular Data Analysis (TaDA), co-located with VLDB 2025.
Undergraduate Publications
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Attresdu-net: Medical image segmentation using attention-based residual double u-net
AM Khan, A Ashrafee, FS Khan, MB Hasan, MH Kabir
2023 International Joint Conference on Neural Networks (IJCNN).
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End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents
FS Khan, M Al Mushabbir, MS Irbaz, MDA Al Nasim
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).