Md Fokhrul Islam

PhD Student & RA · School of Data Science, UVA

I am a Data Science PhD student at the University of Virginia, advised by Professor Heman Shakeri. I work on machine learning for complex, safety-critical systems — healthcare technologies, robots acting in the physical world, and the societal systems they touch.

The question that drives my research: how do we build AI systems that are genuinely intelligent, rather than just well-trained? Most of today's models get their performance from enormous labeled datasets, but the systems I care about rarely have that luxury — and there, the cost of a mistake is not a benchmark point but more than that. I want models that adapt quickly, generalize to situations they have never seen, and come with guarantees: no matter how unfamiliar the situation.

I am working toward this along three threads:

  • Learning with few or no labels — exploiting the geometry of high-dimensional representation spaces so that models can recognize and reason about things they were never trained on.
  • Safety by design — combining control theory with learned models, so that closed-loop systems like the artificial pancreas can adapt to each patient while provably avoiding harmful states.
  • Intelligence as adaptation — I find the world-model line of thinking compelling: self-supervised predictive representations and planning as optimization, with safety constraints built into the objective. Less a description of where my research sits than a compass for where it is headed.

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

news

Aug 2025Started PhD at University of Virginia.
Apr 2025Paper accepted at Neurocomputing — ReKon3D: Contrastive GAN for Zero-Shot 3D Recognition.
Apr 2024Paper accepted at Image and Vision Computing — VAE-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 Access — Data-Augmentation for Bangla-English Code-Mixed SA.
Nov 2022Review paper accepted at IEEE TNSRE — AI-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 TNSRE — GCN for Physical Rehab Assessment.

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
see all publications →

latest posts

see all posts →