Dr Furqan Aziz

I have joined the School of Computing and Mathematical Sciences, University of Leicester as a Lecturer in 2022. Before joining Leicester, I was working as a Research Fellow at Institute of Cancer and Genomic Sciences, University of Birmingham. I obtained a Ph.D. degree in Computer Science from The University of York, UK.

My research interest lies in the area of Spectral Graph Theory, Complex Networks, Machine Learning, and Bioinformatics.

My primary research focus is directed towards developing novel graph-based algorithms and network-based machine learning approaches to analyse complex systems represented by means of a graph (or a complex network). 

Evaluating the detection ability of a range of epistasis detection methods on simulated data for pure and impure epistatic models, Russ et. al., Plos one, 2022
Hierarchical lifelong topic modeling using rules extracted from network communities, Khan et. al., PloS one, 2022
Graph characterisation using graphlet-based entropies, Aziz et. al., Pattern Recognition Letters, 2021
A causal web between chronotype and metabolic health traits, Williams et. al., Genes, 2021
Multimorbidity prediction using link prediction, Aziz et. al., Scientific Reports, 2021
Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis, Karwath et. al., The Lancet, 2021
An enhanced deep neural network for predicting workplace absenteeism, Al et. al., Complexity, 2020
Network entropy using edge-based information functionals, Aziz et. al., Journal of Complex Networks, 2020
Prediction of future terrorist activities using deep neural networks, Uddin et. al., Complexity, 2020
Feature selection and learning for graphlet kernel, Aziz et. al., Pattern Recognition Letters, 2020
Reversible data hiding techniques with high message embedding capacity in images, Aziz et. al., PLoS One, 2020
Link prediction using node information on local paths, Aziz et. al., Physica A: Statistical Mechanics and its Applications, 2020
Efficient processing of image processing applications on CPU/GPU, Naz et. al., Mathematical Problems in Engineering, 2020
Biomarker prioritisation and power estimation using ensemble gene regulatory network inference, Aziz et. al., International journal of molecular sciences, 2020
Path-based extensions of local link prediction methods for complex networks, Aziz et. al., Scientific reports, 2020
Research Article Efficient Processing of Image Processing Applications on CPU/GPU, Naz et. al., , 2020
A wave packet signature for complex networks, Aziz et. al., Journal of Complex Networks, 2019
Local Binary Patterns for Graph Characterization, Jawad et. al., 2018 24th International Conference on Pattern Recognition (ICPR), 2018
Graph Clustering Based Size Varying Rules for Lifelong Topic Modeling, Khan et. al., Proceedings of the 2018 5th International Conference on Bioinformatics Research and Applications, 2018
Graph clustering based size varying rules for lifelong topic modelling, Khan et. al., Global Journal of Computer Sciences: Theory and Research, 2018
Graph entropy from closed walk and cycle functionals, Aziz et. al., Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), 2016
Online knowledge-based model for big data topic extraction, Khan et. al., Computational intelligence and neuroscience, 2016
Lifelong aspect extraction from big data: knowledge engineering, Khan et. al., Complex Adaptive Systems Modeling, 2016
Evolving long-term dependency rules in lifelong learning models, Khan et. al., 2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA), 2016
Edge-based Operators for Graph Characterization, Aziz et. al., , 2014
Commute Time for a Gaussian Wave Packet on a Graph, Aziz et. al., Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), 2014
Graph characterization using wave kernel trace, Aziz et. al., 2014 22nd International Conference on Pattern Recognition, 2014
Gaussian wave packet on a graph, Aziz et. al., International Workshop on Graph-Based Representations in Pattern Recognition, 2013
Backtrackless Walks on a Graph, Aziz et. al., IEEE Transactions on Neural Networks and Learning Systems, 2013
Eigenfunctions of the edge-based Laplacian on a graph, Wilson et. al., Linear Algebra and its Applications, 2013
Graph characterization using gaussian wave packet signature, Aziz et. al., International Workshop on Similarity-Based Pattern Recognition, 2013
Analysis of wave packet signature of a graph, Aziz et. al., International Conference on Computer Analysis of Images and Patterns, 2013
Geometricity and embedding, Ren et. al., Similarity-Based Pattern Analysis and Recognition, 2013
Shape signature using the edge-based laplacian, Aziz et. al., 21st International Conference on Pattern Recognition (ICPR), 2012, 2012
Efficient computation of Ihara coefficients using the Bell polynomial recursion, Bulo et. al., Linear algebra and its applications, 2012
Shape analysis using the edge-based laplacian, Aziz et. al., Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), 2012
Graph characterization via backtrackless paths, Aziz et. al., International Workshop on Similarity-Based Pattern Recognition, 2011
Kernelising the ihara zeta function, Aziz et. al., International Conference on Computer Analysis of Images and Patterns, 2011
SAuthMash: mobile agent based self authorization in mashups, Khan et. al., Proceedings of the 7th International Conference on Frontiers of Information Technology, 2009

I supervise BSc and MSc projects. I am happy to supervise PhD students in the area of Graph Theory and Network-based Machine Learning.

CO7093 Big Data and Predictive Analytics (2023)

Commendation for PhD

Best Thesis Award by Department of Computer Sciences, University of York, UK, for my PhD thesis "Edge-based Operators for Graph Characterization".

Runner-up award in a national PhD thesis competition held by BCS (British Computing Society) for my PhD Thesis.