01
Enterprise Systems
Over 15 years of ERP architecture and operating-model practice in industrial enterprises.
Research & Education
A continuing trajectory grounded in enterprise systems practice — extending through data science into intelligent decision support and future doctoral research.
Research Trajectory
01
Enterprise Systems
Over 15 years of ERP architecture and operating-model practice in industrial enterprises.
02
Data Science
MSc training in statistical learning, data engineering, and applied analytics in the UK.
03
Intelligent Decision Support
Connecting process, operational, and enterprise data into evidence-led decisions for executives.
04
Future Doctoral Research
Toward a data-centric framework for operating-model intelligence and the next generation of ERP.
Education
MSc, Data Science and Analytics
University of Westminster, London · Aug 2023 — Oct 2024
Advanced study in statistical learning, data engineering, and applied analytics — with a dissertation positioned at the intersection of enterprise process architecture and data-driven decision-making.
BSc, Information Systems / Industrial Engineering
Iran
Foundational training in systems thinking, process design, and enterprise information architecture — the underpinning of a career in ERP and operating-model design.
MSc Dissertation
The dissertation investigates how analytics over process and operational data can be used to detect — and over time, govern — the alignment between the operating model an enterprise has declared and the operating model it is actually running. The work is grounded in industrial case material drawn from heavy-vehicle manufacturing and the mining-and-metals sector.
Publications & Writing
Operating-model intelligence: a practitioner framework for enterprise alignment.
Working paper
Why ERP transformations fail before configuration begins.
Essay series · LinkedIn
Process governance as a board-level discipline.
Long-form commentary
Research Interests
Operating-model intelligence
Enterprise process architecture & governance
The evolution of ERP for data-driven enterprises
Integration architecture and master-data governance
Decision intelligence in industrial operations
Digital transformation outcomes and measurement
Future Doctoral Inquiry
The intended doctoral programme is positioned at the intersection of information systems, enterprise architecture, and decision science. Working title:
“Operating-Model Intelligence: A Data-Centric Framework for Aligning ERP, Process, and Strategy in Industrial Enterprises.”
Open to collaboration with UK and European research groups working on enterprise systems, information-systems research, decision intelligence, and the future of work.