Research

Selected Publications

Peer-reviewed research in visualization, machine learning, and data systems.

All

Software Engineering

Machine Learning

Visualization

2026

Meta-Storyboard Using Feature-Action Patterns: Concept, Techniques, and Case Studies

S Khan, S Jones, B Bach, J Cha, M Chen, J Meikle, JC Roberts, J Thiyagalingam, J Wood, PD Ritsos

Computer Graphics Forum

Visualization Support for Training PINNs as PDE Solvers

A Farea, Y Xing, S Khan, M Chen

1^st Engineering CCP Conference, Oxford

eIRWR: Enhanced Iterative Random Walk with Restart for Scalable Root Cause Analysis in Microservices

S Khan, A Farea

A Multiplexing Design Space: Theory, Method, and Application

Y Xing, A Farea, S Khan, M Chen

Understanding How Humans Inject Knowledge into Machine Learning Workflows through Visual Analytics

Y Xing, P Beaucamp, J Chakraborty, A Farea, Y Jin, S Khan, G Andrienko, N Andrienko, M Chen

Optimizing Visual Analytics Workflows: From Theory to Practice

P Beaucamp, Y Xing, A Abdul-Rahman, R Borgo, W Jentner, S Khan, D Ebert, M Chen

2025

Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods

A Farea, S Khan, R Daryani, EC Ersan, MS Celebi

arxiv

Data Virtualization for Machine Learning

S Khan, J Chakraborty, P Beaucamp, N Bhujel, M Chen

Int. Conf. on Services Computing (SCC 2025), Hong Kong

QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs

A Farea, S Khan, MS Celebi

Machine Learning: Science and Technology

Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications

A Farea, S Khan, MS Celebi

32^nd IEEE Int. Conf. on High Performance Computing, Data, and Analytics (HiPC 2025), Hyderabad

An Open Data Service for Supporting Research in Machine Learning on Tokamak Data

S Jackson, S Khan, N Cummings, J Hodson, S Witt, S Pamela, R Akers, J Thiyagalingam, MAST Team

IEEE Transactions on Plasma Science

2024

FAIR-MAST: A Fusion Device Data Management System

S Jackson, S Khan, N Cummings, J Hodson, S de Witt, S Pamela, R Akers, J Thiyagalingam, MAST Team

SoftwareX

Streaming Technologies and Serialization Protocols: Empirical Performance Analysis

S Jackson, N Cummings, S Khan

IEEE Access

2023

Creating Storytelling Visualizations for the COVID-19 Pandemic Using Feature-Action Design Patterns

PD Ritsos, S Khan, S Jones, B Bach, J Meikle, JC Roberts, J Wood, M Chen

IEEE VIS: Visualization and Visual Analytics Workshop

Web Performance Evaluation of High Volume Streaming Data Visualization

S Khan, E Rydow, S Etemaditajbakhsh, K Adamek, W Armour

IEEE Access

Dashboard Design Patterns

B Bach, E Freeman, A Abdul-Rahman, C Turkay, S Khan, Y Fan, M Chen

IEEE Transactions on Visualization and Computer Graphics

2022

Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections and Recommendations

J Dykes, A Abdul-Rahman, D Archambault, B Bach, R Borgo, M Chen, J Enright, H Fang, EE Firat, E Freeman, T Gönen, C Harris, R Jianu, NW John, S Khan, A Lahiff, RS Laramee, L Matthews, S Mohr, PH Nguyen, AAM Rahat, R Reeve, PD Ritsos, JC Roberts, AS Slingsby, B Swallow, TT Torsney-Weir, C Turkay, R Turner, FP Vidal, Q Wang

Philosophical Transactions of the Royal Society A

A System for Organizing, Collecting, and Presenting Open-Source Intelligence

S Khan, D Wallom

Journal of Data, Information and Management

RAMPVIS: Answering the Challenges of Building Visualisation Capabilities for Large-scale Emergency Responses

M Chen, A Abdul-Rahman, D Archambault, J Dykes, PD Ritsos, A Slingsby, TT Torsney-Weir, C Turkay, B Bach, R Borgo, A Brett, H Fang, R Jianu, S Khan, RS Laramee, L Matthews, PH Nguyen, R Reeve, JC Roberts, FP Vidal, Q Wang, J Wood, K Xu

Epidemics

Rapid Development of a Data Visualization Service in an Emergency Response

S Khan, PH Nguyen, A Abdul-Rahman, E Freeman, C Turkay, M Chen

IEEE Transactions on Services Computing

2021

Propagating Visual Designs to Numerous Plots and Dashboards

S Khan, PH Nguyen, A Abdul-Rahman, B Bach, M Chen, E Freeman, C Turkay

IEEE Transactions on Visualization and Computer Graphics

2016

Ontology-assisted Provenance Visualization for Supporting Enterprise Search of Engineering and Business Files

S Khan, U Kanturska, T Waters, J Eaton, R Bañares-Alcántara, M Chen

Advanced Engineering Informatics

2015

Visualization Assisted Enterprise Search Engine

S Khan

University of Oxford

2014

A Study on Glyph-based Visualisation with Dense Visual Context

S Khan, KJ Proctor, SJ Walton, R Bañares-Alcántara, M Chen

Computer Graphics & Visual Computing