Md Fokhrul Islam

Md Fokhrul Islam

PhD Student & RA · School of Data Science, UVA

I am a first-year Data Science PhD student at the University of Virginia, advised by Professor Heman Shakeri. My research is at the intersection of multi-modal learning, geometric representation learning, and interpretable machine learning, with applications in healthcare, robotics, and social good.

Broadly, I am interested in three directions:

  • Representation learning on geometry — learning from graphs, skeletons, and point clouds with limited supervision.
  • Multimodal & low-resource learning — bridging vision, language, and knowledge graphs for zero-shot recognition.
  • AI for health — building automated assessment and rehabilitation systems using deep learning.

Before UVA I completed my MSc and BSc in Robotics & Mechatronics Engineering at the University of Dhaka, where I worked with Dr. Sejuti Rahman.

news

Aug 2025Started PhD at University of Virginia.
Apr 2025Paper accepted at NeurocomputingReKon3D: Contrastive GAN for Zero-Shot 3D Recognition.
Apr 2024Paper accepted at Image and Vision ComputingVAE-GAN3D: 3D Zero-Shot via Image Semantics.
Jan 2024Joined ACI Limited as Machine Learning Engineer.
Jul 2023Successfully defended MSc thesis.
May 2023Paper accepted at IEEE AccessData-Augmentation for Bangla-English Code-Mixed SA.
Nov 2022Review paper accepted at IEEE TNSREAI-driven Stroke Rehabilitation.
Oct 2022IHABOT placed 2nd at DU Research-Publication Fair.
Aug 2022Attended OxML Summer School 2022.
Jun 2022Undergrad thesis selected for poster at CVPR WiCV 2022.
Feb 2022First paper accepted at IEEE TNSREGCN for Physical Rehab Assessment.

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selected publications

IEEE TNSRE 2022
Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises
Swakshar Deb*, Md Fokhrul Islam*, Shafin Rahman, Sejuti Rahman
IEEE Access 2023
Data-Augmentation for Bangla-English Code-Mixed Sentiment Analysis
Mohammad Tareq, Md Fokhrul Islam, Swakshar Deb, Sejuti Rahman, Abdullah Al Mahmud
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