Structure, uncertainty and decisions.
Two decades of work linking the combinatorics of networks with rough-set reasoning and, increasingly, applied machine learning and analytics.
How the research programme has evolved
Each phase builds on the tools of the one before it.
Resolvability in graphs
Metric and partition dimension of wheels, Petersen, circulant and Cayley graphs; fault tolerance.
Symmetry & distinguishability
Fixing, determining and distinguishing numbers; hypergraphs; functigraphs; controllability.
Rough sets & granulation
Granular computing in networks and algebraic structures; attribute reduction; pattern recognition.
Analytics & decisions
Feature selection, graph-based learning, portfolio and risk models, supply-chain decision support.
Research areas
Counts reflect the 69 journal articles in the CV, grouped by primary theme.
Graph & Network Theory
How few vertices are needed to uniquely locate every other vertex? Metric and partition dimension, fault-tolerant and local variants, fixing, determining and distinguishing numbers, and their use in network controllability.
Rough Sets & Granular Computing
Rough-set approximation and information granulation applied to graphs, vector spaces, symmetry groups and commutative-ring networks — with applications in pattern recognition, social-network dynamics and feature selection.
Graph Labeling
Edge-magic, antimagic and irregularity labelings and deficiencies for families such as wheels, ladders, chordal rings and polytopes.
Algebra & Discrete Structures
Derivations on rings, Γ-rings and lattices; braid groups; algebraic graphs from rings and vector spaces.
Active research and development
Applied programmes that bring mathematical methods to clinical, financial, operational and institutional decisions.
Graph-Induced Granular Intelligence for Clinical Decision Support
Graph-based patient granulation, feature selection and explainable clinical decision support.
AI-Driven Supply Chain Digital Twin
Prediction, system dynamics, simulation, optimization, decision support and feedback for supply-chain digital twins.
AI-Integrated University ERP
A layered university ERP concept combining data modelling, DBMS, Python, machine learning and application services.
Dynamic Stock Forecasting with Graph Attention Networks
Graph-attention and sequence modelling for position-trading oriented stock forecasting.
BRAGS Decision Intelligence
Business Risk Analysis & Growth Strategy supported by diagnostic, predictive and prescriptive analytics.
Research collaboration
Open to joint work in granular computing, explainable AI, network science and decision analytics — and to PhD and MPhil enquiries in these areas.