2026

Oct

Back to Leuven

I'll be back at KU Leuven from late October for my joint PhD.

Sep

MICCAI 2026 in Strasbourg

Presented our graph-coverage approach for selecting representative medical images.

Read more →
Zahiriddin Rustamov standing beside his graph-coverage poster at MICCAI 2026.
Poster session, 30 September.
Zahiriddin Rustamov with two conference attendees beneath the MICCAI 2026 entrance arch in Strasbourg.
Discussing the work.
Sep

Screening for Lysosomal Storage Disorders

Our study comparing expert rules and machine learning for identifying lysosomal storage disorders is now online in Scientific Reports.

Read more →
Sep

Predicting MRI Responses from OCT

We use deep learning to predict diffusion MRI signals from brain microvessel images, speeding up simulation-based analysis.

Read more →
Jun

Graph Coverage for Medical Imaging

Our work on selecting representative medical images with graph coverage is accepted at MICCAI 2026.

Read more →
Jun

Understanding Learner States

Our new review examines how nonverbal cues can help identify learners' cognitive and emotional states.

Read more →
Apr

The Nonverbal Syntax Framework

We introduce a framework for interpreting learners' cognitive and emotional states from observable behavior.

Read more →

2025

Nov

Research Visit to KU Leuven

Spent time at KU Leuven working with collaborators as part of my dual award PhD.

Sep

Scalable Instance Selection

Our work on scaling graph-based instance selection to larger datasets is published in AI Open.

Read more →

2024

Dec

Graph Reduction for Instance Selection

Our comparison of graph reduction methods for selecting training data is now online in Artificial Intelligence Review.

Read more →
Dec

GAIS and GAT-RWOS at ICKG

Presented our work on graph-based data selection and oversampling in Abu Dhabi.

Jul

Dual Award PhD

Joined KU Leuven alongside my PhD at UAEU.

Read more →

2023

Aug

Starting My PhD

Began my doctoral studies at UAEU.