Areas of expertise

  • Manufacturing Systems
  • Product and Service Design


Dr Maryam Farsi is a Lecturer in Through-life Engineering Optimisation at Cranfield University, School of Aerospace, Transport and Manufacturing. Dr Farsi gained her PhD in ‘Nonlinear Structural Mechanics’ from Imperial College London in December 2014 and her MSc in ‘Civil Engineering Structures’ from City, University of London in March 2010. Dr Farsi’s main research focus is on complex systems and system of systems simulation, optimisation, data analytics and data visualisation, with application across aerospace, manufacturing, transport, and healthcare sectors. Dr Farsi’s research focus is on dynamic systems and structures modelling, enterprise and supply chain modelling, complex systems simulation, sustainable manufacturing, digital twin; servitization; lifecycle cost modelling; optimisation, and risk and uncertainty quantification with over 25 research works.

Dr Farsi is a member of the Centre for Digital Engineering and Manufacturing. She has supervised more than 40 MSc. 2 KTP and 2 PhD. Dr Farsi is a member of the Institution of Engineering and Technology (MIET), Fellow of Higher Education Academy (FHEA) and associate editor of International Journal of Strategic Engineering (IJoSE). Dr Farsi has been involved in research bid development with a total projects’ cost of over £2m, where she was successfully attracted more than £100K income generation as an investigator (PI or Co-I).

Research opportunities

Research Opportunities:

Self-funded PhDs and MSc by research:

Complex systems, Enterprise modelling, Service and support chains design, Sustainable manufacturing, Human-AI interaction, Servitization, Lifecycle costing, Digital Twin and Smart Cities, Optimisation.

Funded PhD project:

Intelligent multi-objective optimisation for sustainable servitisation, funded by EPSRC and Siemens Energy.

Current activities


Dr Farsi is currently the project manager and active researcher in an ATI funded project called ‘Digitally Optimised Through-life Engineering Services’ or TES-Digital. Dr Farsi main research focus is on developing a lifecycle cost estimation model for current and future complex engineering assets in collaboration with Cambridge University.

Module Leading

  • Manufacturing Systems Engineering (3 cohorts)
  • Through-life System Effectiveness (1 cohort)
  • Optimising Whole Life Cost and Performance Management (2 cohorts)
  • Principle of Cost Engineering – Short Course (online)

Selected Teaching

  • Enterprise modelling and simulation using AnyLogic
  • Agent-based, Discrete-event and System dynamics techniques
  • Whole lifecycle costing
  • Cost-benefit analysis

Research team

Michael Jones: PhD in Automating Data Reporting, Analysis and Corrective Action Systems with Thales UK Ltd (2021 – 2027)

Valentina Futoryanova: PhD in Optimising obsolescence in early design phase using AI and dynamic modelling with Oxford Instruments (2021 – 2027)

Dr ThuBa Nguyen: KTP associate in Servitization optimiser project with Siemens Energy (2019 – 2022)

Previous projects

  • Product-service systems and servitization applications in machine tool sectors (IUK funded - Jun 2019)
  • Supply Chain Mapping for ATMP’s Manufacturers (IUK funded - April 2018)
  • Through life Cost of a Component (Rolls-Royce funded - October 2017)
  • Automation of Cell Therapy Cryo-storage Processes and Future Manufacturing Facilities (IUK funded - May 2017)


Aerospace Technology Institute (ATI)

Babcock International

BAE Systems

Bombardier Transportation

Cell and Gene Therapy Catapult (CGTC)

Machine Tool Technologies Ltd (MTT)

Network Rail



Thermo Fisher, UK


Articles In Journals

Conference Papers